### Install neuromaps from Source

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/index.md

Install the latest features and bug fixes by installing from the source repository using pip.

```bash
pip install git+https://github.com/netneuromain/neuromaps.git
```

--------------------------------

### Install Neuromaps from Source

Source: https://github.com/netneurolab/neuromaps/blob/main/README.rst

Clone the repository and install neuromaps from the local directory. This method ensures you have the latest features and bug fixes.

```bash
git clone https://github.com/netneurolab/neuromaps
cd neuromaps
pip install .
```

--------------------------------

### Install Neuromaps from PyPI

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/installation.md

Install the latest stable version of neuromaps using pip.

```bash
pip install neuromaps
```

--------------------------------

### Install Neuromaps from Source Repository

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/installation.md

Clone the neuromaps repository and install it locally using pip. This is recommended for accessing the latest features and bug fixes.

```bash
git clone https://github.com/netneurolab/neuromaps.git
cd neuromaps
pip install .
```

--------------------------------

### Verify Connectome Workbench Installation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/installation.md

Run this command in your terminal to ensure Connectome Workbench is installed and accessible.

```bash
wb_command -version
```

--------------------------------

### Install Neuromaps from Git Repository

Source: https://github.com/netneurolab/neuromaps/blob/main/README.rst

Install the latest development version of neuromaps directly from its GitHub repository using pip.

```bash
pip install git+https://github.com/netneurolab/neuromaps.git
```

--------------------------------

### Fetch and Describe Annotation (fcgradient10)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the fcgradient10 annotation. Ensure the neuromaps library is installed and configured.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient10', space='fsLR', den='32k')

# describe annotation
describe_annotations(('margulies2016', 'fcgradient10', 'fsLR', '32k'))

# file location
# $NEUROMAPS_DATA/margulies2016/fcgradient10/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-margulies2016_desc-fcgradient10_space-fsLR_den-32k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation (fcgradient09)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the fcgradient09 annotation. Ensure the neuromaps library is installed and configured.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient09', space='fsLR', den='32k')

# describe annotation
describe_annotations(('margulies2016', 'fcgradient09', 'fsLR', '32k'))

# file location
# $NEUROMAPS_DATA/margulies2016/fcgradient09/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-margulies2016_desc-fcgradient09_space-fsLR_den-32k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe alarkurtti2015 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the alarkurtti2015 raclopride dataset.

```python
# get annotation
fetch_annotation(source='alarkurtti2015', desc='raclopride', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('alarkurtti2015', 'raclopride', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/alarkurtti2015/raclopride/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-alarkurtti2015_desc-raclopride_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Annotation Data

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve annotation data by its identifiers and to get a descriptive summary of annotations. Ensure the neuromaps library is installed and configured.

```python
fetch_annotation(source='galovic2021', desc='ge179', space='MNI152', res='1mm')
```

```python
describe_annotations(('galovic2021', 'ge179', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe bedard2019 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the bedard2019 feobv dataset.

```python
# get annotation
fetch_annotation(source='bedard2019', desc='feobv', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('bedard2019', 'feobv', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/bedard2019/feobv/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-bedard2019_desc-feobv_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Annotation (margulies2016 fcgradient05)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use `fetch_annotation` to download the annotation data and `describe_annotations` to get metadata. The file path and naming convention for surface data are also shown.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient05', space='fsLR', den='32k')

# describe annotation
describe_annotations(('margulies2016', 'fcgradient05', 'fsLR', '32k'))

# file location
# $NEUROMAPS_DATA/margulies2016/fcgradient05/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-margulies2016_desc-fcgradient05_space-fsLR_den-32k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation (margulies2016 fcgradient06)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use `fetch_annotation` to download the annotation data and `describe_annotations` to get metadata. The file path and naming convention for surface data are also shown.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient06', space='fsLR', den='32k')

# describe annotation
describe_annotations(('margulies2016', 'fcgradient06', 'fsLR', '32k'))

# file location
# $NEUROMAPS_DATA/margulies2016/fcgradient06/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-margulies2016_desc-fcgradient06_space-fsLR_den-32k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation (reardon2018)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the reardon2018 dataset. File paths and naming conventions are also provided.

```python
# get annotation
fetch_annotation(source='reardon2018', desc='scalingpnc', space='civet', den='41k')

# describe annotation
describe_annotations(('reardon2018', 'scalingpnc', 'civet', '41k'))

# file location
# $NEUROMAPS_DATA/reardon2018/scalingpnc/civet/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-reardon2018_desc-scalingpnc_space-civet_den-41k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe fazio2016 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the fazio2016 dataset. The file path and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='fazio2016', desc='madam', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('fazio2016', 'madam', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/fazio2016/madam/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-fazio2016_desc-madam_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe 'spreng-feobv-MNI152-1mm' Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the 'spreng-feobv-MNI152-1mm' annotation. The data is PET tracer binding (SUVR) to VAChT.

```python
# get annotation
fetch_annotation(source='spreng', desc='feobv', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('spreng', 'feobv', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/spreng/feobv/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-spreng_desc-feobv_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe HCP MEG Theta Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to get the MEG theta data and describe_annotations to get its identifier. The file location and naming convention for surface data are also provided.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='megtheta', space='fsLR', den='4k')
```

```python
# describe annotation
describe_annotations(('hcps1200', 'megtheta', 'fsLR', '4k'))
```

```python
# file location
# $NEUROMAPS_DATA/hcps1200/megtheta/fsLR/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-megtheta_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe HCP MEG High Gamma Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to get the MEG high gamma data and describe_annotations to get its identifier. The file location and naming convention for surface data are also provided.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='meggamma2', space='fsLR', den='4k')
```

```python
# describe annotation
describe_annotations(('hcps1200', 'meggamma2', 'fsLR', '4k'))
```

```python
# file location
# $NEUROMAPS_DATA/hcps1200/meggamma2/fsLR/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-meggamma2_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Describe Annotations

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to get a description of annotations. Pass a tuple containing the source, description, space, and resolution.

```python
# describe annotation
describe_annotations(('sandiego2015', 'flb457', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe Annotation (rosaneto)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the rosaneto dataset. File paths and naming conventions are also provided.

```python
# get annotation
fetch_annotation(source='rosaneto', desc='abp688', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('rosaneto', 'abp688', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/rosaneto/abp688/MNI152

# file name (for surface data, replace L/R to get the other hemisphere)
# source-rosaneto_desc-abp688_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Mueller 2013 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to get the intersubject variability data and describe_annotations to get its metadata. The file location and naming convention are also shown.

```python
fetch_annotation(source='mueller2013', desc='intersubjvar', space='fsLR', den='164k')
```

```python
describe_annotations(('mueller2013', 'intersubjvar', 'fsLR', '164k'))
```

--------------------------------

### Fetch and Describe Annotation using Python

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about a specific neuroimaging annotation. Ensure the Neuromaps data is accessible.

```python
# get annotation
fetch_annotation(source='radnakrishnan2018', desc='gsk215083', space='MNI152', res='1mm')
```

```python
# describe annotation
describe_annotations(('radnakrishnan2018', 'gsk215083', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe Annotation (margulies2016 fcgradient02)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve annotation data and get descriptive information about it. The annotation is for the fsLR space, 32k resolution.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient02', space='fsLR', den='32k')
```

```python
# describe annotation
describe_annotations(('margulies2016', 'fcgradient02', 'fsLR', '32k'))
```

--------------------------------

### Fetch and Describe Annotation (aghourian2017-feobv-MNI152-1mm)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Shows how to retrieve PET tracer binding annotation data and get its description. Includes information on file location and naming conventions for volumetric data.

```python
# get annotation
fetch_annotation(source='aghourian2017', desc='feobv', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('aghourian2017', 'feobv', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/aghourian2017/feobv/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-aghourian2017_desc-feobv_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Sasaki2012 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the 'sasaki2012-fepe2i-MNI152-1mm' annotation. The data represents PET tracer binding to DAT.

```python
# get annotation
fetch_annotation(source='sasaki2012', desc='fepe2i', space='MNI152', res='1mm')
```

```python
# describe annotation
describe_annotations(('sasaki2012', 'fepe2i', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe Annotation (dukart2018)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the dukart2018 dataset. The file location and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='dukart2018', desc='flumazenil', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('dukart2018', 'flumazenil', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/dukart2018/flumazenil/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-dukart2018_desc-flumazenil_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Annotation (dubois2015)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the dubois2015 dataset. The file location and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='dubois2015', desc='abp688', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('dubois2015', 'abp688', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/dubois2015/abp688/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-dubois2015_desc-abp688_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe 'tuominen-feobv' Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the 'tuominen-feobv' PET tracer binding annotation. The file location and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='tuominen', desc='feobv', space='MNI152', res='2mm')

# describe annotation
describe_annotations(('tuominen', 'feobv', 'MNI152', '2mm'))

# file location
# $NEUROMAPS_DATA/tuominen/feobv/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-tuominen_desc-feobv_space-MNI152_res-2mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Raichle CMGCL Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use `fetch_annotation` to retrieve the 'raichle-cmrglc-fsLR-164k' annotation. Use `describe_annotations` to get metadata for this annotation.

```python
# get annotation
fetch_annotation(source='raichle', desc='cmrglc', space='fsLR', den='164k')

# describe annotation
describe_annotations(('raichle', 'cmrglc', 'fsLR', '164k'))

# file location
# $NEUROMAPS_DATA/raichle/cmrglc/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-raichle_desc-cmrglc_space-fsLR_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe 'turtonen2020-carfentanil' Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the 'turtonen2020-carfentanil' PET tracer binding annotation. The file location and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='turtonen2020', desc='carfentanil', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('turtonen2020', 'carfentanil', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/turtonen2020/carfentanil/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-turtonen2020_desc-carfentanil_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Raichle CMR02 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use `fetch_annotation` to retrieve the 'raichle-cmr02-fsLR-164k' annotation. Use `describe_annotations` to get metadata for this annotation.

```python
# get annotation
fetch_annotation(source='raichle', desc='cmr02', space='fsLR', den='164k')

# describe annotation
describe_annotations(('raichle', 'cmr02', 'fsLR', '164k'))

# file location
# $NEUROMAPS_DATA/raichle/cmr02/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-raichle_desc-cmr02_space-fsLR_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation (margulies2016 fcgradient01)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve annotation data and get descriptive information about it. The annotation is for the fsLR space, 32k resolution.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient01', space='fsLR', den='32k')
```

```python
# describe annotation
describe_annotations(('margulies2016', 'fcgradient01', 'fsLR', '32k'))
```

--------------------------------

### Fetch and Describe dukart2018 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the dukart2018 dataset. The file path and naming convention are also provided.

```python
# get annotation
fetch_annotation(source='dukart2018', desc='fpcit', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('dukart2018', 'fpcit', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/dukart2018/fpcit/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-dukart2018_desc-fpcit_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe smart2019 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the smart2019 abp688 annotation. The data is located in the NEUROMAPS_DATA directory.

```python
# get annotation
fetch_annotation(source='smart2019', desc='abp688', space='MNI152', res='1mm')
```

```python
# describe annotation
describe_annotations(('smart2019', 'abp688', 'MNI152', '1mm'))
```

```python
# file location
# $NEUROMAPS_DATA/smart2019/abp688/MNI152/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-smart2019_desc-abp688_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Normandin 2015 OMAR Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the OMAR PET annotation data from the Normandin 2015 study.

```python
# get annotation
fetch_annotation(source='normandin2015', desc='omar', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('normandin2015', 'omar', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/normandin2015/omar/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-normandin2015_desc-omar_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe savli2012-altanserin Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the altanserin PET tracer binding annotation. The data is located in the specified directory and follows a particular file naming convention.

```python
# get annotation
fetch_annotation(source='savli2012', desc='altanserin', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('savli2012', 'altanserin', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/savli2012/altanserin/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-savli2012_desc-altanserin_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe beliveau2017-dasb fsaverage Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve the data and describe_annotations to get metadata for the fsaverage space. This annotation is best used in the provided fsaverage space.

```python
# get annotation
fetch_annotation(source='beliveau2017', desc='dasb', space='fsaverage', den='164k')

# describe annotation
describe_annotations(('beliveau2017', 'dasb', 'fsaverage', '164k'))

# file location
# $NEUROMAPS_DATA/beliveau2017/dasb/fsaverage/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-beliveau2017_desc-dasb_space-fsaverage_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe xu2020 evoexp Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these Python functions to retrieve and get information about the xu2020 evoexp annotation. Ensure the NEUROMAPS_DATA environment variable is set for file location.

```python
# get annotation
fetch_annotation(source='xu2020', desc='evoexp', space='fsLR', den='32k')
```

```python
# describe annotation
describe_annotations(('xu2020', 'evoexp', 'fsLR', '32k'))
```

```python
# file location
# $NEUROMAPS_DATA/xu2020/evoexp/fsLR/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-xu2020_desc-evoexp_space-fsLR_den-32k_hemi-R_feature.func.gii
```

--------------------------------

### Fetch and Describe fsaverage Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the beliveau2017 az10419369 annotation in fsaverage space. This annotation is recommended for surface data.

```python
# get annotation
fetch_annotation(source='beliveau2017', desc='az10419369', space='fsaverage', den='164k')

# describe annotation
describe_annotations(('beliveau2017', 'az10419369', 'fsaverage', '164k'))

# file location
# $NEUROMAPS_DATA/beliveau2017/az10419369/fsaverage/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-beliveau2017_desc-az10419369_space-fsaverage_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe savli2012-dasb Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the dasb PET tracer binding annotation. The data is located in the specified directory and follows a particular file naming convention.

```python
# get annotation
fetch_annotation(source='savli2012', desc='dasb', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('savli2012', 'dasb', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/savli2012/dasb/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-savli2012_desc-dasb_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Annotation (margulies2016-fcgradient07)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the 'fcgradient07' annotation from the 'margulies2016' source. Ensure the NEUROMAPS_DATA environment variable is set for file access.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient07', space='fsLR', den='32k')
```

```python
# describe annotation
describe_annotations(('margulies2016', 'fcgradient07', 'fsLR', '32k'))
```

--------------------------------

### Fetch and Describe Raichle CBF Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these Python functions to retrieve Cerebral Blood Flow (CBF) annotation data and to get a description of the annotation. The code assumes the neuromaps library is installed and configured.

```python
# get annotation
fetch_annotation(source='raichle', desc='cbf', space='fsLR', den='164k')

# describe annotation
describe_annotations(('raichle', 'cbf', 'fsLR', '164k'))

# file location
# $NEUROMAPS_DATA/raichle/cbf/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-raichle_desc-cbf_space-fsLR_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Kantonen 2020 Carfentanil Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get details about the carfentanil PET tracer binding annotation from the Kantonen 2020 dataset. Ensure the NEUROMAPS_DATA environment variable is set for file access.

```python
# get annotation
fetch_annotation(source='kantonen2020', desc='carfentanil', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('kantonen2020', 'carfentanil', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/kantonen2020/carfentanil/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-kantonen2020_desc-carfentanil_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe fsaverage Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these Python functions to retrieve and get information about the beliveau2017 cumi101 annotation in the fsaverage space. This annotation is best used in the provided fsaverage space.

```python
# get annotation
fetch_annotation(source='beliveau2017', desc='cumi101', space='fsaverage', den='164k')

# describe annotation
describe_annotations(('beliveau2017', 'cumi101', 'fsaverage', '164k'))

# file location
# $NEUROMAPS_DATA/beliveau2017/cumi101/fsaverage/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-beliveau2017_desc-cumi101_space-fsaverage_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe MEG Beta Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch and describe MEG beta power distribution data. Ensure the NEUROMAPS_DATA environment variable is set for file location.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='megbeta', space='fsLR', den='4k')

# describe annotation
describe_annotations(('hcps1200', 'megbeta', 'fsLR', '4k'))

# file location
# $NEUROMAPS_DATA/hcps1200/megbeta/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-megbeta_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Kaller 2017 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch a specific annotation using its source, description, space, and resolution. Also shows how to describe an annotation using its tuple identifier.

```python
# get annotation
fetch_annotation(source='kaller2017', desc='sch23390', space='MNI152', res='3mm')

# describe annotation
describe_annotations(('kaller2017', 'sch23390', 'MNI152', '3mm'))

# file location
# $NEUROMAPS_DATA/kaller2017/sch23390/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-kaller2017_desc-sch23390_space-MNI152_res-3mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Annotation (abagen-genepc1-fsaverage-10k)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch annotation data using its identifier and how to describe available annotations. The file naming convention for surface data is also provided.

```python
# get annotation
fetch_annotation(source='abagen', desc='genepc1', space='fsaverage', den='10k')

# describe annotation
describe_annotations(('abagen', 'genepc1', 'fsaverage', '10k'))

# file location
# $NEUROMAPS_DATA/abagen/genepc1/fsaverage/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-abagen_desc-genepc1_space-fsaverage_den-10k_hemi-L_feature.func.gii
```

--------------------------------

### Describe Annotation (fsaverage Space)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to get a description of the annotation for the beliveau2017 study in fsaverage space.

```python
# describe annotation
describe_annotations(('beliveau2017', 'sb207145', 'fsaverage', '164k'))
```

--------------------------------

### Describe Annotation (MNI152 Space)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to get a description of the annotation for the beliveau2017 study in MNI152 space.

```python
# describe annotation
describe_annotations(('beliveau2017', 'sb207145', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe MEG Delta Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch MEG delta power annotations and describe them using their identifier. The file location and naming convention for surface data are also provided.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='megdelta', space='fsLR', den='4k')

# describe annotation
describe_annotations(('hcps1200', 'megdelta', 'fsLR', '4k'))

# file location
# $NEUROMAPS_DATA/hcps1200/megdelta/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-megdelta_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Lois 2018 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get details about the pbr28 annotation from the lois2018 study.

```python
# get annotation
fetch_annotation(source='lois2018', desc='pbr28', space='MNI152', res='2mm')

# describe annotation
describe_annotations(('lois2018', 'pbr28', 'MNI152', '2mm'))

# file location
# $NEUROMAPS_DATA/lois2018/pbr28/MNI152

# file name (for surface data, replace L/R to get the other hemisphere)
# source-lois2018_desc-pbr28_space-MNI152_res-2mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Laurikainen 2018 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get details about the fmpepd2 annotation from the laurikainen2018 study.

```python
# get annotation
fetch_annotation(source='laurikainen2018', desc='fmpepd2', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('laurikainen2018', 'fmpepd2', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/laurikainen2018/fmpepd2/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-laurikainen2018_desc-fmpepd2_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe Jaworska 2020 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch a specific annotation using its source, description, space, and resolution. Also shows how to describe an annotation using its tuple identifier.

```python
# get annotation
fetch_annotation(source='jaworska2020', desc='fallypride', space='MNI152', res='1mm')

# describe annotation
describe_annotations(('jaworska2020', 'fallypride', 'MNI152', '1mm'))

# file location
# $NEUROMAPS_DATA/jaworska2020/fallypride/MNI152/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-jaworska2020_desc-fallypride_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Describe Annotation Metadata

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use describe_annotations to get metadata for a specific annotation, identified by a tuple of source, description, space, and resolution.

```python
describe_annotations(('lukow2022', 'ro154513', 'MNI152', '2mm'))
```

```python
describe_annotations(('malen2022', 'raclopride', 'MNI152', '2mm'))
```

--------------------------------

### Fetch and Describe Satterthwaite2014 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the 'satterthwaite2014-meancbf-MNI152-1mm' annotation. The data represents cerebral blood flow.

```python
# get annotation
fetch_annotation(source='satterthwaite2014', desc='meancbf', space='MNI152', res='1mm')
```

```python
# describe annotation
describe_annotations(('satterthwaite2014', 'meancbf', 'MNI152', '1mm'))
```

--------------------------------

### Fetch and Describe MEG Alpha Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Demonstrates how to fetch and describe MEG alpha power distribution data. Ensure the NEUROMAPS_DATA environment variable is set for file location.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='megalpha', space='fsLR', den='4k')

# describe annotation
describe_annotations(('hcps1200', 'megalpha', 'fsLR', '4k'))

# file location
# $NEUROMAPS_DATA/hcps1200/megalpha/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-megalpha_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch Annotation Data

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to retrieve annotation data by specifying source, description, space, and resolution. Ensure the neuromaps library is installed.

```python
# get annotation
fetch_annotation(source='finnema2016', desc='ucbj', space='MNI152', res='1mm')
```

--------------------------------

### Fetch and Describe Annotation Data (vijay2018)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve specific annotation data by source, description, space, and resolution. Use describe_annotations to get metadata for a given annotation tuple. Ensure the NEUROMAPS_DATA environment variable is set for file location.

```python
# get annotation
fetch_annotation(source='vijay2018', desc='ly2795050', space='MNI152', res='2mm')
```

```python
# describe annotation
describe_annotations(('vijay2018', 'ly2795050', 'MNI152', '2mm'))
```

--------------------------------

### Describe Norgaard2021 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to get a description of the specified Norgaard2021 annotation. The identifier is a tuple containing source, description, space, and resolution.

```python
# describe annotation
describe_annotations(('norgaard2021', 'flumazenil', 'MNI152', '1mm'))
```

--------------------------------

### Describe Neurosynth Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to get a description of the specified Neurosynth annotation. The identifier is a tuple containing source, description, space, and resolution.

```python
# describe annotation
describe_annotations(('neurosynth', 'cogpc1', 'MNI152', '2mm'))
```

--------------------------------

### Fetch and Describe smith2017 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the smith2017 flb457 annotation. The data is located in the NEUROMAPS_DATA directory.

```python
# get annotation
fetch_annotation(source='smith2017', desc='flb457', space='MNI152', res='1mm')
```

```python
# describe annotation
describe_annotations(('smith2017', 'flb457', 'MNI152', '1mm'))
```

```python
# file location
# $NEUROMAPS_DATA/smith2017/flb457/MNI152/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-smith2017_desc-flb457_space-MNI152_res-1mm_feature.nii.gz
```

--------------------------------

### Fetch and Describe MEG Gamma1 Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Shows how to retrieve and describe MEG low gamma power annotations. Includes information on file paths and naming conventions for surface data.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='meggamma1', space='fsLR', den='4k')

# describe annotation
describe_annotations(('hcps1200', 'meggamma1', 'fsLR', '4k'))

# file location
# $NEUROMAPS_DATA/hcps1200/meggamma1/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-meggamma1_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation (fcgradient03)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve annotation data and its metadata. Ensure the neuromaps data directory is configured.

```python
# get annotation
fetch_annotation(source='margulies2016', desc='fcgradient03', space='fsLR', den='32k')
```

```python
# describe annotation
describe_annotations(('margulies2016', 'fcgradient03', 'fsLR', '32k'))
```

```python
# file location
# $NEUROMAPS_DATA/margulies2016/fcgradient03/fsLR/
```

```python
# file name (for surface data, replace L/R to get the other hemisphere)
# source-margulies2016_desc-fcgradient03_space-fsLR_den-32k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Norgaard 2021 Flumazenil Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the flumazenil PET annotation data from the Norgaard 2021 study.

```python
# get annotation
fetch_annotation(source='norgaard2021', desc='flumazenil', space='fsaverage', den='164k')

# describe annotation
describe_annotations(('norgaard2021', 'flumazenil', 'fsaverage', '164k'))

# file location
# $NEUROMAPS_DATA/norgaard2021/flumazenil/fsaverage/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-norgaard2021_desc-flumazenil_space-fsaverage_den-164k_hemi-L_feature.func.gii
```

--------------------------------

### List All Available Annotations

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/user_guide/annotations.md

Use this function to list all available annotations. Annotations are identified by a 4-tuple: (source, description, coordinate system, resolution).

```python
>>> from neuromaps.datasets import available_annotations
>>> for annotation in available_annotations():
...     print(annotation)
('abagen', 'genepc1', 'fsaverage', '10k')
('margulies2016', 'fcgradient01', 'fsLR', '32k')
('margulies2016', 'fcgradient02', 'fsLR', '32k')
('margulies2016', 'fcgradient03', 'fsLR', '32k')
('margulies2016', 'fcgradient04', 'fsLR', '32k')
('margulies2016', 'fcgradient05', 'fsLR', '32k')
('margulies2016', 'fcgradient06', 'fsLR', '32k')
('margulies2016', 'fcgradient07', 'fsLR', '32k')
('margulies2016', 'fcgradient08', 'fsLR', '32k')
('margulies2016', 'fcgradient09', 'fsLR', '32k')
('margulies2016', 'fcgradient10', 'fsLR', '32k')
('neurosynth', 'cogpc1', 'MNI152', '2mm')
```

--------------------------------

### Fetch Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use this function to retrieve the annotation data. Specify the source, description, space, and resolution.

```python
# get annotation
fetch_annotation(source='sandiego2015', desc='flb457', space='MNI152', res='1mm')
```

--------------------------------

### Fetch and Describe HCP MEG Timescale Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use these functions to retrieve and get information about the MEG intrinsic timescale annotation from the HCP S1200 release.

```python
# get annotation
fetch_annotation(source='hcps1200', desc='megtimescale', space='fsLR', den='4k')

# describe annotation
describe_annotations(('hcps1200', 'megtimescale', 'fsLR', '4k'))

# file location
# $NEUROMAPS_DATA/hcps1200/megtimescale/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-hcps1200_desc-megtimescale_space-fsLR_den-4k_hemi-L_feature.func.gii
```

--------------------------------

### Fetch and Describe Annotation Data (wey2016)

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve specific annotation data by source, description, space, and resolution. Use describe_annotations to get metadata for a given annotation tuple. Ensure the NEUROMAPS_DATA environment variable is set for file location.

```python
# get annotation
fetch_annotation(source='wey2016', desc='martinostat', space='MNI152', res='2mm')
```

```python
# describe annotation
describe_annotations(('wey2016', 'martinostat', 'MNI152', '2mm'))
```

--------------------------------

### Parcellating Volumetric Data

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/user_guide/transformations.md

Example of parcellating volumetric MNI-152 data into the Lausanne-125 atlas. Requires fetching annotations and atlas data, then initializing and transforming with Parcellater.

```python
>>> from neuromaps.datasets import fetch_annotation
>>> from netneurotools import datasets as nntdata
>>> from neuromaps.parcellate import Parcellater

>>> glutamate = fetch_annotation(source='smart2019', desc='abp688', space='MNI152', den='1mm')
>>> lausanne = nntdata.fetch_cammoun2012(version='MNI152NLin2009aSym')
>>> parc = Parcellater(lausanne['scale125'], 'mni152')
>>> glutamate_parc = parc.fit_transform(glutamate, 'mni152')
```

--------------------------------

### Fetch and Describe 'sydnor2021-SAaxis-fsLR-32k' Annotation

Source: https://github.com/netneurolab/neuromaps/blob/main/docs/listofmaps.md

Use fetch_annotation to retrieve data and describe_annotations to get metadata for the 'sydnor2021-SAaxis-fsLR-32k' annotation. This data represents the sensory-association mean rank axis.

```python
# get annotation
fetch_annotation(source='sydnor2021', desc='SAaxis', space='fsLR', den='32k')

# describe annotation
describe_annotations(('sydnor2021', 'SAaxis', 'fsLR', '32k'))

# file location
# $NEUROMAPS_DATA/sydnor2021/SAaxis/fsLR/

# file name (for surface data, replace L/R to get the other hemisphere)
# source-sydnor2021_desc-SAaxis_space-fsLR_den-32k_hemi-L_feature.func.gii
```