cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17035/cardiff.29092625
title: Alkyl group inductive effect trends data

description: Carbon chains form the backbone of organic compounds. These alkyl groups exert a range of electronic effects, one of which is inductive.We recently showed that alkyl groups are inductively electron-withdrawing compared to hydrogen. The current dataset shows that different alkyl groups do not exert significantly different inductive effects. This is significant, since the older chemical literature assigns trends in inductive effects that are then used to explain properties and reactivity of compounds. Even in the more recent literature, different electronegativity values are assigned to different alkyl groups.This dataset contains the results of Gaussian '09 calculations that show the charges on atoms in a range of organic molecules. The calculated charges do not differ significantly between the representative alkyl groups (Hirshfeld calculated charges in the .log output from each calculation) such that we would conclude that there is no difference in inductive effect between the alkyl groups.<br>
DOI: 10.17035/cardiff.29092625.v1
title: Alkyl group inductive effect trends data

description: Carbon chains form the backbone of organic compounds. These alkyl groups exert a range of electronic effects, one of which is inductive.We recently showed that alkyl groups are inductively electron-withdrawing compared to hydrogen. The current dataset shows that different alkyl groups do not exert significantly different inductive effects. This is significant, since the older chemical literature assigns trends in inductive effects that are then used to explain properties and reactivity of compounds. Even in the more recent literature, different electronegativity values are assigned to different alkyl groups.This dataset contains the results of Gaussian '09 calculations that show the charges on atoms in a range of organic molecules. The calculated charges do not differ significantly between the representative alkyl groups (Hirshfeld calculated charges in the .log output from each calculation) such that we would conclude that there is no difference in inductive effect between the alkyl groups.<br>
DOI: 10.5281/zenodo.15546727
title: Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 and Motion Correction

description: Example k-space data for vendor-agnostic joint relaxometry and myelin water fraction mapping.
DOI: 10.5281/zenodo.15546728
title: Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 and Motion Correction

description: Example k-space data for vendor-agnostic joint relaxometry and myelin water fraction mapping.
DOI: 10.15468/dl.nc6xhq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is GPS locations of Bobcats on and around Laguna Atascosa National Wildlife Refuge from 2013-2021: USFWS-TXDOT Collaborative Dataset"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007127-250525065834625/datasets/export for details.
DOI: 10.15468/dl.zg8zrm
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.34 4.329161, 98.269538 4.323592, 98.200813 4.307019, 98.13552199999999 4.279853, 98.075273 4.242764, 98.021551 4.196665, 97.97568 4.142694, 97.938787 4.082181, 97.911781 4.016616, 97.895324 3.947616, 97.889819 3.87688, 97.895398 3.806149, 97.911922 3.737166, 97.938981 3.671628, 97.97590700000001 3.611147, 98.02179 3.557212, 98.07550000000001 3.51115, 98.135715 3.474093, 98.200954 3.446953, 98.269612 3.430398, 98.34 3.424834, 98.410388 3.430398, 98.479046 3.446953, 98.544285 3.474093, 98.6045 3.51115, 98.65821 3.557212, 98.704093 3.611147, 98.74101899999999 3.671628, 98.768078 3.737166, 98.78460200000001 3.806149, 98.790181 3.87688, 98.784676 3.947616, 98.768219 4.016616, 98.741213 4.082181, 98.70432 4.142694, 98.658449 4.196665, 98.604727 4.242764, 98.544478 4.279853, 98.479187 4.307019, 98.410462 4.323592, 98.34 4.329161))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004077-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3wdrd
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Kenya, Ethiopia, Tanzania, United Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arabidopsis thaliana"
 ]
}

 The dataset includes 773 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004078-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5etnu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.78891400000001 24.217068, 88.711918 24.211491, 88.636837 24.194899, 88.565538 24.167704, 88.49979 24.130583, 88.441222 24.084457, 88.391277 24.030471, 88.35118199999999 23.969963, 88.321916 23.904431, 88.304185 23.835495, 88.29840799999999 23.764855, 88.30470800000001 23.694253, 88.322911 23.625425, 88.35255100000001 23.560063, 88.392886 23.499768, 88.442914 23.446019, 88.5014 23.40013, 88.566907 23.363222, 88.637832 23.336196, 88.712441 23.319713, 88.78891400000001 23.314173, 88.865387 23.319713, 88.93999599999999 23.336196, 89.010921 23.363222, 89.07642800000001 23.40013, 89.13491399999999 23.446019, 89.18494200000001 23.499768, 89.22527700000001 23.560063, 89.25491700000001 23.625425, 89.27312000000001 23.694253, 89.27942 23.764855, 89.27364300000001 23.835495, 89.255912 23.904431, 89.226646 23.969963, 89.18655099999999 24.030471, 89.136606 24.084457, 89.07803800000001 24.130583, 89.01228999999999 24.167704, 88.940991 24.194899, 88.86591 24.211491, 88.78891400000001 24.217068))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004079-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbx5d6
title: Occurrence Download

description: A dataset listing the 647 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.13.13_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 647 records were derived from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004070-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p25d63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.816 4.381161, 116.745533 4.375591, 116.676804 4.359019, 116.611508 4.331853, 116.551255 4.294763, 116.49753 4.248664, 116.451656 4.194693, 116.414761 4.134179, 116.387754 4.068615, 116.371296 3.999614, 116.365791 3.928878, 116.371371 3.858148, 116.387897 3.789165, 116.414957 3.723627, 116.451886 3.663146, 116.497772 3.609212, 116.551486 3.56315, 116.611704 3.526093, 116.676946 3.498954, 116.745608 3.482398, 116.816 3.476834, 116.886392 3.482398, 116.955054 3.498954, 117.020296 3.526093, 117.080514 3.56315, 117.134228 3.609212, 117.180114 3.663146, 117.217043 3.723627, 117.244103 3.789165, 117.260629 3.858148, 117.266209 3.928878, 117.260704 3.999614, 117.244246 4.068615, 117.217239 4.134179, 117.180344 4.194693, 117.13447 4.248664, 117.080745 4.294763, 117.020492 4.331853, 116.955196 4.359019, 116.886467 4.375591, 116.816 4.381161))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004081-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.28360258
title: STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery

description: Flooding is a major global natural disaster exacerbated by climate change and urbanization. Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving the demand for curated global geospatial data to implement novel algorithms. This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. The dataset encompasses 21,602 Sentinel-1 tiles and 2,675 Sentinel-2 tiles, each measuring 128 × 128 pixels at 10 m resolution, alongside corresponding water masks covering 60 flood events globally. Two U-Net models evaluated the dataset: Sentinel-1 achieved 83.61% test accuracy and 0.8327 weighted F1-score, while Sentinel-2 yielded 92.75% test accuracy and 0.9243 weighted F1-score. These results underscore the dataset’s potential in developing robust models for water extent mapping. STURM-Flood dataset aims to provide a valuable resource for research and development in flood mapping and disaster management. Future research could focus on expanding and refining different approaches and data sources for broader applications. The reference data and code are openly available in the Zenodo repository https://doi.org/10.5281/zenodo.12748983 and GitHub repository https://github.com/STURM-WEO/STURM-Flood.
DOI: 10.6084/m9.figshare.28360258.v1
title: STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery

description: Flooding is a major global natural disaster exacerbated by climate change and urbanization. Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving the demand for curated global geospatial data to implement novel algorithms. This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. The dataset encompasses 21,602 Sentinel-1 tiles and 2,675 Sentinel-2 tiles, each measuring 128 × 128 pixels at 10 m resolution, alongside corresponding water masks covering 60 flood events globally. Two U-Net models evaluated the dataset: Sentinel-1 achieved 83.61% test accuracy and 0.8327 weighted F1-score, while Sentinel-2 yielded 92.75% test accuracy and 0.9243 weighted F1-score. These results underscore the dataset’s potential in developing robust models for water extent mapping. STURM-Flood dataset aims to provide a valuable resource for research and development in flood mapping and disaster management. Future research could focus on expanding and refining different approaches and data sources for broader applications. The reference data and code are openly available in the Zenodo repository https://doi.org/10.5281/zenodo.12748983 and GitHub repository https://github.com/STURM-WEO/STURM-Flood.
DOI: 10.15468/dl.uk6vzb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.78891400000001 24.217068, 88.711918 24.211491, 88.636837 24.194899, 88.565538 24.167704, 88.49979 24.130583, 88.441222 24.084457, 88.391277 24.030471, 88.35118199999999 23.969963, 88.321916 23.904431, 88.304185 23.835495, 88.29840799999999 23.764855, 88.30470800000001 23.694253, 88.322911 23.625425, 88.35255100000001 23.560063, 88.392886 23.499768, 88.442914 23.446019, 88.5014 23.40013, 88.566907 23.363222, 88.637832 23.336196, 88.712441 23.319713, 88.78891400000001 23.314173, 88.865387 23.319713, 88.93999599999999 23.336196, 89.010921 23.363222, 89.07642800000001 23.40013, 89.13491399999999 23.446019, 89.18494200000001 23.499768, 89.22527700000001 23.560063, 89.25491700000001 23.625425, 89.27312000000001 23.694253, 89.27942 23.764855, 89.27364300000001 23.835495, 89.255912 23.904431, 89.226646 23.969963, 89.18655099999999 24.030471, 89.136606 24.084457, 89.07803800000001 24.130583, 89.01228999999999 24.167704, 88.940991 24.194899, 88.86591 24.211491, 88.78891400000001 24.217068))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004082-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq94ke
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((96.661 4.383161, 96.59053299999999 4.377591, 96.521804 4.361019, 96.456508 4.333853, 96.396254 4.296763, 96.342529 4.250664, 96.296655 4.196693, 96.25976 4.136179, 96.232753 4.070614, 96.216295 4.001614, 96.21079 3.930878, 96.21637 3.860148, 96.232896 3.791165, 96.259957 3.725627, 96.296885 3.665146, 96.342772 3.611212, 96.396485 3.56515, 96.456704 3.528093, 96.521946 3.500954, 96.590608 3.484398, 96.661 3.478834, 96.731392 3.484398, 96.800054 3.500954, 96.865296 3.528093, 96.925515 3.56515, 96.97922800000001 3.611212, 97.025115 3.665146, 97.062043 3.725627, 97.08910400000001 3.791165, 97.10563 3.860148, 97.11121 3.930878, 97.105705 4.001614, 97.089247 4.070614, 97.06224 4.136179, 97.025345 4.196693, 96.979471 4.250664, 96.925746 4.296763, 96.865492 4.333853, 96.800196 4.361019, 96.73146699999999 4.377591, 96.661 4.383161))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004083-260120142942310/datasets/export for details.
DOI: 10.15468/dl.gdwye2
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carex chinensis"
 ]
}

 The dataset includes 179 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004084-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mek98z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.78891400000001 24.217068, 88.711918 24.211491, 88.636837 24.194899, 88.565538 24.167704, 88.49979 24.130583, 88.441222 24.084457, 88.391277 24.030471, 88.35118199999999 23.969963, 88.321916 23.904431, 88.304185 23.835495, 88.29840799999999 23.764855, 88.30470800000001 23.694253, 88.322911 23.625425, 88.35255100000001 23.560063, 88.392886 23.499768, 88.442914 23.446019, 88.5014 23.40013, 88.566907 23.363222, 88.637832 23.336196, 88.712441 23.319713, 88.78891400000001 23.314173, 88.865387 23.319713, 88.93999599999999 23.336196, 89.010921 23.363222, 89.07642800000001 23.40013, 89.13491399999999 23.446019, 89.18494200000001 23.499768, 89.22527700000001 23.560063, 89.25491700000001 23.625425, 89.27312000000001 23.694253, 89.27942 23.764855, 89.27364300000001 23.835495, 89.255912 23.904431, 89.226646 23.969963, 89.18655099999999 24.030471, 89.136606 24.084457, 89.07803800000001 24.130583, 89.01228999999999 24.167704, 88.940991 24.194899, 88.86591 24.211491, 88.78891400000001 24.217068))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004085-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xncjk8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.366 4.398161, 98.295531 4.392591, 98.22680099999999 4.376018, 98.16150399999999 4.348852, 98.101249 4.311763, 98.047523 4.265664, 98.001648 4.211692, 97.964753 4.151179, 97.93774500000001 4.085614, 97.92128700000001 4.016614, 97.91578199999999 3.945878, 97.921363 3.875147, 97.937888 3.806164, 97.96495 3.740626, 98.001879 3.680146, 98.047766 3.626212, 98.10148100000001 3.58015, 98.1617 3.543093, 98.226944 3.515954, 98.295607 3.499398, 98.366 3.493834, 98.436393 3.499398, 98.505056 3.515954, 98.5703 3.543093, 98.63051900000001 3.58015, 98.684234 3.626212, 98.730121 3.680146, 98.76705 3.740626, 98.794112 3.806164, 98.810637 3.875147, 98.81621800000001 3.945878, 98.81071300000001 4.016614, 98.79425500000001 4.085614, 98.767247 4.151179, 98.730352 4.211692, 98.684477 4.265664, 98.630751 4.311763, 98.57049600000001 4.348852, 98.505199 4.376018, 98.436469 4.392591, 98.366 4.398161))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004086-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25612/837.e9nmk7w8qw45
title: 2020 Census Tract-HPD Police Beat Relationship Files with Percent Coverage

description: Tables showing relationship between 2020 census tracts and Houston Police Department police beats with percent coverage.
DOI: 10.15468/dl.p79rrb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.78891400000001 24.217068, 88.711918 24.211491, 88.636837 24.194899, 88.565538 24.167704, 88.49979 24.130583, 88.441222 24.084457, 88.391277 24.030471, 88.35118199999999 23.969963, 88.321916 23.904431, 88.304185 23.835495, 88.29840799999999 23.764855, 88.30470800000001 23.694253, 88.322911 23.625425, 88.35255100000001 23.560063, 88.392886 23.499768, 88.442914 23.446019, 88.5014 23.40013, 88.566907 23.363222, 88.637832 23.336196, 88.712441 23.319713, 88.78891400000001 23.314173, 88.865387 23.319713, 88.93999599999999 23.336196, 89.010921 23.363222, 89.07642800000001 23.40013, 89.13491399999999 23.446019, 89.18494200000001 23.499768, 89.22527700000001 23.560063, 89.25491700000001 23.625425, 89.27312000000001 23.694253, 89.27942 23.764855, 89.27364300000001 23.835495, 89.255912 23.904431, 89.226646 23.969963, 89.18655099999999 24.030471, 89.136606 24.084457, 89.07803800000001 24.130583, 89.01228999999999 24.167704, 88.940991 24.194899, 88.86591 24.211491, 88.78891400000001 24.217068))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004089-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39kckd
title: Occurrence Download

description: A dataset containing 19026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus emblica"
 ]
}

 The dataset includes 19026 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004088-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqyzsj
title: Occurrence Download

description: A dataset containing 1572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhipicephalus sanguineus",
 "Year 2015-2025"
 ]
}

 The dataset includes 1572 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004090-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.