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and Ice Sheets","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# `glathida` Glacier Thickness Database\n\nWorldwide dataset of glacier thickness observations aggregated from literature review, data submissions, and published data.\n\n## Versions\n\n- `v3.1.0`: The latest published version of `glathida` is available from the GTN-G website (https://doi.org/10.5904/wgms-glathida-2020-10). It is described in:\n\n  - Welty et al. (2020). _Worldwide version-controlled database of glacier thickness observations_. Earth System Science Data, 12, 3039–3055. https://doi.org/10.5194/essd-12-3039-2020\n\n- `v4-beta`: The next version is in development and available from this GitLab repository (https://gitlab.com/wgms/glathida). There is yet no timeline for publication of this version.\n\nNote that the data structure has changed (see [documentation](https://gitlab.com/wgms/glathida/-/blob/main/documentation.md#data-structure)). Tables `T`, `TT`, and `TTT` are now `glacier`, `band`, and `point`. An additional `survey` table makes it possible to submit `point` measurements without a corresponding entry in `glacier`. \n\n## Contribute\n\nBug reports, data submissions, and other issues can be posted to the issue tracker at https://gitlab.com/wgms/glathida/-/issues. Submitters are encouraged to validate their data before submission (see the [Developer guide](https://gitlab.com/wgms/glathida#developer-guide) further below).\n\n### Submission: as issue\n\nFor users who are not familiar with Git, data can be submitted as an issue.\n\n- Create a new issue: https://gitlab.com/wgms/glathida/-/issues/new\n- In the `Choose a template` dropdown, select `Data submission`.\n- Fill out and follow the instructions in the issue template.\n- Link to your data or attach it directly to the issue. Ideally, the data should be a spreadsheet or CSV files with column names and values as described in the [documentation](https://gitlab.com/wgms/glathida/-/blob/main/documentation.md#data-structure).\n- Click `Create issue`.\n\nYour submission will be reviewed by a maintainer, who will create a merge request.\n\n### Submission: as merge request\n\nUsers familiar with Git are encouraged to submit a merge request directly.\n\n- Fork the repository.\n- Create a new branch in your fork.\n- Add data to a new subdirectory of `submissions` (for example, `submissions/{investigator name}-{survey or publication year}-{glacier name}`). Data should be CSV files structured as described in the [documentation](https://gitlab.com/wgms/glathida/-/blob/main/documentation.md#data-structure).\n- Modify or remove existing data (in `/data`) as needed.\n- Create a merge request.\n\nContinuous integrations tests will automatically check your submission. If they fail, you are encouraged to commit further changes until they pass. The merge request will be reviewed by a maintainer and hopefully merged!\n\n## Developer guide\n\nClone the repository and move into the directory.\n\n```sh\ngit clone https://gitlab.com/wgms/glathida.git\ncd glathida\n```\n\nCreate the `glathida` [conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html) environment and activate it.\n\n```sh\nconda env create --file environment.yaml\nconda activate glathida\n```\n\nRun tests on the metadata (`datapackage.yaml`) and data (`data/*`).\n\n```sh\npytest\n```\n\nOr test a data submission.\n\n```sh\npython -m tests.check_submission path/to/submission\n# For example:\n# python -m tests.check_submission data/24k-glacier-2019\n```\n\n## User guide (Python)\n\n### Read data\n\nThe legacy (`v3`) data is stored as CSV files directly in the `data` subdirectory (e.g. `data/point.csv`), but new data is stored in subdirectories of `data` (for example, `data/24k-glacier-2019/point.csv`). 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This assumes the `glathida` Python environment has been activated (see above).\n\n```py\nfrom tests import helpers\n\ndfs = helpers.read_data()\ndfs.keys()\n# dict_keys(['glacier', 'point', 'survey', 'band'])\n```\n\nOtherwise, the following can be used in a typical Python environment.\n\n```py\nfrom collections import defaultdict\nfrom pathlib import Path\n\nimport pandas as pd\n\n\npaths = Path('data').rglob('*.csv')\ndfs = defaultdict(list)\nfor path in paths:\n  df = pd.read_csv(path, low_memory=False)\n  dfs[path.stem].append(df)\ndfs = {\n  name: pd.concat(df_list, ignore_index=True)\n  for name, df_list in dfs.items()\n}\n```\n\n### Assign RGI ID to points\n\nAssumes the data are already loaded in `dfs` as above.\n\n```py\nimport geopandas as gpd\n\n# Convert points DataFrame to a GeoDataFrame\ndf = dfs['point']\npoints = gpd.GeoDataFrame(\n  df, geometry=gpd.points_from_xy(df['longitude'], df['latitude'], crs=4326)\n)\n\n# Read RGI inventory\nrgi = gpd.read_file('path/to/rgi')\n\n# Add RGI ID to points using spatial indexing (for speed)\n# NOTE: points.sjoin(rgi, how='left', predicate='within') may be as fast\n# NOTE: Assumes RGI ID is in column 'rgi_id' (v7). Use 'RGIId' for v6.\npoints['rgi_id'] = None\ni_rgi, i_points = points.sindex.query(rgi.geometry, predicate='intersects')\npoints.loc[points.index[i_points], 'rgi_id'] = rgi.iloc[i_rgi]['RGIId'].values\n```\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5904/wgms-glathida-2020-10","https://doi.org/10.5194/essd-12-3039-2020"],"works":{"https://doi.org/10.5904/wgms-glathida-2020-10":null,"https://doi.org/10.5194/essd-12-3039-2020":{"id":"https://openalex.org/W3031978446","doi":"https://doi.org/10.5194/essd-12-3039-2020","title":"Worldwide version-controlled database of glacier thickness observations","display_name":"Worldwide version-controlled database of glacier thickness observations","publication_year":2020,"publication_date":"2020-11-24","ids":{"openalex":"https://openalex.org/W3031978446","doi":"https://doi.org/10.5194/essd-12-3039-2020","mag":"3031978446"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.5194/essd-12-3039-2020","pdf_url":"https://essd.copernicus.org/articles/12/3039/2020/essd-12-3039-2020.pdf","source":{"id":"https://openalex.org/S106909380","display_name":"Earth System Science Data","issn_l":"1866-3508","issn":["1866-3516","1866-3508"],"is_oa":true,"is_in_doaj":true,"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://essd.copernicus.org/articles/12/3039/2020/essd-12-3039-2020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045104310","display_name":"Ethan Welty","orcid":"https://orcid.org/0000-0001-8046-2210"},"institutions":[{"id":"https://openalex.org/I182286215","display_name":"Institute of Arctic and Alpine Research","ror":"https://ror.org/00924z688","country_code":"US","type":"facility","lineage":["https://openalex.org/I182286215","https://openalex.org/I188538660"]},{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660","https://openalex.org/I2802236040"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Ethan Welty","raw_affiliation_string":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado Boulder, USA; 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