cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vgrnpj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.693 1.051184, 100.622725 1.045616, 100.554182 1.02905, 100.489057 1.001894, 100.428956 0.964817, 100.375359 0.918731, 100.329584 0.864773, 100.292759 0.804271, 100.265791 0.738715, 100.249342 0.669718, 100.243818 0.598981, 100.249354 0.528245, 100.265812 0.459252, 100.292789 0.3937, 100.329619 0.333202, 100.375395 0.27925, 100.428991 0.23317, 100.489087 0.196098, 100.554203 0.168946, 100.622737 0.152382, 100.693 0.146815, 100.763263 0.152382, 100.831797 0.168946, 100.896913 0.196098, 100.957009 0.23317, 101.010605 0.27925, 101.056381 0.333202, 101.093211 0.3937, 101.120188 0.459252, 101.136646 0.528245, 101.142182 0.598981, 101.136658 0.669718, 101.120209 0.738715, 101.093241 0.804271, 101.056416 0.864773, 101.010641 0.918731, 100.957044 0.964817, 100.896943 1.001894, 100.831818 1.02905, 100.763275 1.045616, 100.693 1.051184))"},{"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/0001730-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18295881
title: Vegetation cover contributes to global crop yield through temperature mediation

description: 1. all_crops_combined_data.xlsx: Changes in temperature and yield at each bin point for maize, rice, soybean, and wheat under high and low vegetation cover conditions.

2. con_maize.xlsx, con_rice.xlsx, con_soybean.xlsx, con_wheat.xlsx: Percentage contribution of 2015 NDVI to the yield of four crops: maize, rice, soybean, and wheat.

3. country_lists.xlsx: Contribution amount and contribution rate of 2015 NDVI to the yield of four crops (maize, rice, soybean, wheat) at the national scale.

4. filtered_1985_new.xlsx, filtered_1995_new.xlsx, filtered_2005_new.xlsx, filtered_2015_new.xlsx: Global annual average NDVI within the study area for the years 1985, 1995, 2005, and 2015.

5. final_merged_maize.xlsx, final_merged_rice.xlsx, final_merged_soybean.xlsx, final_merged_wheat.xlsx: Posterior mean of the beta coefficients corresponding to NDVI for four crops: maize, rice, soybean, and wheat.
DOI: 10.5281/zenodo.18295882
title: Vegetation cover contributes to global crop yield through temperature mediation

description: 1. all_crops_combined_data.xlsx: Changes in temperature and yield at each bin point for maize, rice, soybean, and wheat under high and low vegetation cover conditions.

2. con_maize.xlsx, con_rice.xlsx, con_soybean.xlsx, con_wheat.xlsx: Percentage contribution of 2015 NDVI to the yield of four crops: maize, rice, soybean, and wheat.

3. country_lists.xlsx: Contribution amount and contribution rate of 2015 NDVI to the yield of four crops (maize, rice, soybean, wheat) at the national scale.

4. filtered_1985_new.xlsx, filtered_1995_new.xlsx, filtered_2005_new.xlsx, filtered_2015_new.xlsx: Global annual average NDVI within the study area for the years 1985, 1995, 2005, and 2015.

5. final_merged_maize.xlsx, final_merged_rice.xlsx, final_merged_soybean.xlsx, final_merged_wheat.xlsx: Posterior mean of the beta coefficients corresponding to NDVI for four crops: maize, rice, soybean, and wheat.
DOI: 10.5281/zenodo.18322657
title: Stenachaenium megapotamicum (Spreng.) Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18322658
title: Stenachaenium megapotamicum (Spreng.) Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.ryjmy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.332 5.078152, 103.261463 5.072582, 103.192665 5.056008, 103.127306 5.02884, 103.066995 4.991748, 103.01322 4.945647, 102.967306 4.891673, 102.930381 4.831158, 102.903354 4.765592, 102.886888 4.696592, 102.881384 4.625857, 102.886976 4.555128, 102.903522 4.486148, 102.930612 4.420613, 102.967577 4.360137, 103.013506 4.306207, 103.067267 4.260149, 103.127537 4.223096, 103.192833 4.195959, 103.261551 4.179405, 103.332 4.173842, 103.402449 4.179405, 103.471167 4.195959, 103.536463 4.223096, 103.596733 4.260149, 103.650494 4.306207, 103.696423 4.360137, 103.733388 4.420613, 103.760478 4.486148, 103.777024 4.555128, 103.782616 4.625857, 103.777112 4.696592, 103.760646 4.765592, 103.733619 4.831158, 103.696694 4.891673, 103.65078 4.945647, 103.597005 4.991748, 103.536694 5.02884, 103.471335 5.056008, 103.402537 5.072582, 103.332 5.078152))"},{"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/0001732-260120142942310/datasets/export for details.
DOI: 10.15468/dl.ffg4ke
title: Occurrence Download

description: A dataset containing 128556 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physeter macrocephalus"
 ]
}

 The dataset includes 128556 records from 599 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001658-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euhakm
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Podarcis gaigeae (Werner, 1930)"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006547-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp777y
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.503 -2.358,104.559 -2.358,104.559 -1.374,103.503 -1.374,103.503 -2.358))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cypriniformes"
 ]
}

 The dataset includes 182 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006549-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb2k6q
title: Occurrence Download

description: A dataset containing 1750 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is f89e26e2-5e5e-4e76-93da-6275f86ebaf6"
 ]
}

 The dataset includes 1750 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006546-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7eq2xn
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciurus anomalus Gmelin, 1778"
 ]
}

 The dataset includes 508 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006545-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14652458
title: (14)-Strobl2025A-DS0011 – SLICE-1 – Tribolium castaneum AGOC{ATub'H2A/H2B°NB-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2

description: (14)-Strobl2025A-DS0011 – SLICE-1 – Tribolium castaneum AGOC{ATub'H2A/H2B°NB-mEmerald} #1 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2
DOI: 10.15468/dl.gurf6z
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Hansenia forbesii (H.Boissieu) Pimenov & Kljuykov, Hymenidium tsekuense (R.H.Shan) Pimenov & Kljuykov)"
 ]
}

 The dataset includes 350 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006531-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a7ptt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vicia glauca C.Presl",
 "Year 1950-2025"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011847-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p7eg6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Cerastium"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002711-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2pxec
title: Occurrence Download

description: A dataset containing 23177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cystoseira"
 ]
}

 The dataset includes 23177 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30615908.v2
title: <b>Computer Peripherals</b>

description: Computer Peripherals prices and configs
DOI: 10.15468/dl.fgzwbh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Godyris nepos"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhdaqa
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-183.81757 2.75126,-60.18243 2.75126,-60.18243 52.24874,-183.81757 52.24874,-183.81757 2.75126))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Swietenia humilis"
 ]
}

 The dataset includes 964 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23989074.v1
title: Abundance and description of MAGs recovered from freshwater bacterial communities

description: This dataset contains the description of the MAGs (metagenomes assembled genomes), their abundance in each microcosm (community) and their taxonomic affiliation.
DOI: 10.15468/dl.n255tr
title: Occurrence Download

description: A dataset containing 4461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreochromis mossambicus",
 "Year 2000-2025"
 ]
}

 The dataset includes 4461 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.c6mkjh
title: WSP_GBIF_Collector_CA004477.7262

description: Generated from API search results. Project CA004477.7262 - Site 4/5 Site Assessment
DOI: 10.15468/dl.angxrk
title: Occurrence Download

description: A dataset containing 10348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is MVZ Herp Collection (Arctos)",
 "Geometry POLYGON((-75.84316 34.97554,-81.3303 31.32994,-80.5429 25.36736,-83.96657 29.51854,-96.03503 28.58601,-97.50694 21.80297,-94.8905 18.48034,-87.34946 21.27975,-88.45762 15.85288,-84.37185 15.31901,-83.5738 10.14345,-76.72535 7.39842,-74.47303 11.01976,-66.80229 10.21473,-56.20757 6.24433,-59.898 31.99682,-75.84316 34.97554,-75.84316 34.97554))"
 ]
}

 The dataset includes 10348 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmr9cd
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Colombia, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pristimantis w-nigrum"
 ]
}

 The dataset includes 943 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15643334
title: NLST-Sybil: Expert annotations of tumor regions in the NLST CT images

description: This dataset contains expert annotations of the suspicious lesions identified in the CT images of the NLST collection [1]. The annotations are stored as planar bounding boxes.

The annotations in this dataset were collected and shared by the authors as part of the activities described in [2]. The annotations were originally stored in JSON format, and shared via GitHub [3]. This dataset contains the annotations harmonized into DICOM representation. This dataset is available from the NCI Imaging Data Commons (IDC), and can be explored interactively in the IDC Portal using this link:  https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=NLST-Sybil

To create the original annotations, two fellowship-trained thoracic radiologists jointly annotated suspicious lesions on NLST LDCTs using MD.AI interface for all participants who developed cancer within 1 year after an LDCT. Each lesion’s volume was marked with bounding boxes on contiguous thin-cut axial images. The “ground truth” annotations were informed by the imaging appearance and the clinical data provided by the NLST, i.e., the series and image number of cancerous nodules and the anatomical location of biopsy-confirmed lung cancers. For these participants, lesions in the location of subsequently diagnosed cancers were also annotated, even if the precursor lesion lacked imaging features specific for cancer.

Specific files included in the record can be downloaded using the attached manifests. The suffix of the manifest indicates its content, which is the list of pointers to the public Google Cloud Storage (GCS) or Amazon Web Services (AWS) buckets containing the files included in the collection:





-gcs.s5cmd: GCS-based manifest (to download the files described in the manifest, execute this command: pip install --upgrade idc-index && idc download manifest).




-aws.s5cmd: AWS-based manifest (to download the files described in the manifest, execute this command: pip install --upgrade idc-index && idc download manifest).




-dcf.dcf: Gen3-based manifest (see details in https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids). 



[1] National Lung Screening Trial Research Team. (2013). Data from the National Lung Screening Trial (NLST) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.HMQ8-J677

[2] Mikhael, P. G., Wohlwend, J., Yala, A., Karstens, L., Xiang, J., Takigami, A. K., Bourgouin, P. P., Chan, P., Mrah, S., Amayri, W., Juan, Y.-H., Yang, C.-T., Wan, Y.-L., Lin, G., Sequist, L. V., Fintelmann, F. J. & Barzilay, R. Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography. J. Clin. Oncol. JCO2201345 (2023). https://doi.org/10.1200/JCO.22.01345

[3] https://github.com/reginabarzilaygroup/Sybil
DOI: 10.5281/zenodo.15643335
title: NLST-Sybil: Expert annotations of tumor regions in the NLST CT images

description: This dataset contains expert annotations of the suspicious lesions identified in the CT images of the NLST collection [1]. The annotations are stored as planar bounding boxes.

The annotations in this dataset were collected and shared by the authors as part of the activities described in [2]. The annotations were originally stored in JSON format, and shared via GitHub [3]. This dataset contains the annotations harmonized into DICOM representation. This dataset is available from the NCI Imaging Data Commons (IDC), and can be explored interactively in the IDC Portal using this link:  https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=NLST-Sybil

To create the original annotations, two fellowship-trained thoracic radiologists jointly annotated suspicious lesions on NLST LDCTs using MD.AI interface for all participants who developed cancer within 1 year after an LDCT. Each lesion’s volume was marked with bounding boxes on contiguous thin-cut axial images. The “ground truth” annotations were informed by the imaging appearance and the clinical data provided by the NLST, i.e., the series and image number of cancerous nodules and the anatomical location of biopsy-confirmed lung cancers. For these participants, lesions in the location of subsequently diagnosed cancers were also annotated, even if the precursor lesion lacked imaging features specific for cancer.

Specific files included in the record can be downloaded using the attached manifests. The suffix of the manifest indicates its content, which is the list of pointers to the public Google Cloud Storage (GCS) or Amazon Web Services (AWS) buckets containing the files included in the collection:





-gcs.s5cmd: GCS-based manifest (to download the files described in the manifest, execute this command: pip install --upgrade idc-index && idc download manifest).




-aws.s5cmd: AWS-based manifest (to download the files described in the manifest, execute this command: pip install --upgrade idc-index && idc download manifest).




-dcf.dcf: Gen3-based manifest (see details in https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids). 



[1] National Lung Screening Trial Research Team. (2013). Data from the National Lung Screening Trial (NLST) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.HMQ8-J677

[2] Mikhael, P. G., Wohlwend, J., Yala, A., Karstens, L., Xiang, J., Takigami, A. K., Bourgouin, P. P., Chan, P., Mrah, S., Amayri, W., Juan, Y.-H., Yang, C.-T., Wan, Y.-L., Lin, G., Sequist, L. V., Fintelmann, F. J. & Barzilay, R. Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography. J. Clin. Oncol. JCO2201345 (2023). https://doi.org/10.1200/JCO.22.01345

[3] https://github.com/reginabarzilaygroup/Sybil
DOI: 10.15468/dl.stwh73
title: Occurrence Download

description: A dataset containing 51889 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perognathus"
 ]
}

 The dataset includes 51889 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002697-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpy98s
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tabebuia palmeri"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002719-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czd7eb
title: Occurrence Download

description: A dataset containing 886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botrytis cinerea",
 "HasCoordinate is true",
 "Year is greater than or equal to 2012"
 ]
}

 The dataset includes 886 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002720-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57zy97
title: Occurrence Download

description: A dataset containing 23230128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 23230128 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002653-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9t7rk
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypophthalmichthys nobilis",
 "Year 2000-2025"
 ]
}

 The dataset includes 301 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.