cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j685ez
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium brodiei (Burton, 1836)",
 "Year 2004-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022717-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u56qhp
title: Occurrence Download

description: A dataset containing 74791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 74791 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022712-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxb8mj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Glaucidium cuculoides (Vigors, 1831)",
 "Year 2004-2025"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022719-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddrz8f
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Otus lettia (Hodgson, 1836)",
 "Year 2004-2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022720-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22pcha
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Asio flammeus (Pontoppidan, 1763)",
 "Year 2004-2025"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022721-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14126982
title: Predicting invasion risk of invasive Coptodon zillii on a global scale using ecological niche models
DOI: 10.5281/zenodo.14126983
title: Predicting invasion risk of invasive Coptodon zillii on a global scale using ecological niche models
DOI: 10.5281/zenodo.15070163
title: Predicting invasion risk of invasive Coptodon zillii on a global scale using ecological niche models
DOI: 10.15468/dl.t25ucq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pandion haliaetus (Linnaeus, 1758)",
 "Year 2004-2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022722-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4hrtz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pernis ptilorhynchus (Temminck, 1821)",
 "Year 2004-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022724-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncx7py
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Spilornis cheela (Latham, 1790)",
 "Year 2004-2025"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022725-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15055053
title: A 100 m annual soil salinization dataset from 1985 to 2024 in the Western Songnen Plain, China (model)

description: In our study, we identified and classified soil salinization degrees in the Western Songnen Plain at 100 m spatial resolution using ground surveys and remote sensing imagery, combined with machine learning algorithms over the period 1985 to 2024.

All the data and code used in this paper are shown below: (1)The remote sensing satellite data used in this study are freely available on GEE platform (available at https://code.earthengine.google.com/). (2)Land cover data can be accessed at https://doi.org/10.5281/zenodo.4417810. (3)SSSG dataset is available at https://files.isric.org/public/global_soil_salinity. (4)LDSS data are available at https://doi.org/10.6084/m9.figshare.13295918.v1. (5)The soil salinization dataset is openly available at https://doi.org/10.5281/zenodo.14253585. (6)Yearly identification results of saline soils are available at https://code.earthengine.google.com/2718468953d3e85cd88576671d46fdff. (7)The data required for model inputs are available at https://code.earthengine.google.com/44664fc75f7f7cdb374a923db9ea7bba.
DOI: 10.5281/zenodo.15055054
title: A 100 m annual soil salinization dataset from 1985 to 2024 in the Western Songnen Plain, China (model)

description: In our study, we identified and classified soil salinization degrees in the Western Songnen Plain at 100 m spatial resolution using ground surveys and remote sensing imagery, combined with machine learning algorithms over the period 1985 to 2024.

All the data and code used in this paper are shown below: (1)The remote sensing satellite data used in this study are freely available on GEE platform (available at https://code.earthengine.google.com/). (2)Land cover data can be accessed at https://doi.org/10.5281/zenodo.4417810. (3)SSSG dataset is available at https://files.isric.org/public/global_soil_salinity. (4)LDSS data are available at https://doi.org/10.6084/m9.figshare.13295918.v1. (5)The soil salinization dataset is openly available at https://doi.org/10.5281/zenodo.14253585. (6)Yearly identification results of saline soils are available at https://code.earthengine.google.com/2718468953d3e85cd88576671d46fdff. (7)The data required for model inputs are available at https://code.earthengine.google.com/44664fc75f7f7cdb374a923db9ea7bba.
DOI: 10.15468/dl.np74rk
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.14_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia L.f."
 ]
}

 The dataset includes 39 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022726-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv3fd5
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-116.26957 32.76065,-115.21712 32.76065,-115.21712 33.59137,-116.26957 33.59137,-116.26957 32.76065))",
 "TaxonKey is Tamarix ramosissima Ledeb.",
 "Year 1962-2024"
 ]
}

 The dataset includes 143 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022727-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15065860
title: D-I-TASSER models for human proteins

description: D-I-TASSER models for human proteins. If you have any questions, please contact Wei Zheng by jlspzw139@sina.com or jlspzw@nankai.edu.cn.
DOI: 10.5281/zenodo.15065861
title: D-I-TASSER models for human proteins

description: D-I-TASSER models for human proteins. If you have any questions, please contact Wei Zheng by jlspzw139@sina.com or jlspzw@nankai.edu.cn.
DOI: 10.15468/dl.8stzxq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Nisaetus nipalensis Hodgson, 1836",
 "Year 2004-2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022728-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuf7zd
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser canagicus (Sevastianov, 1802)",
 "Year 2011-2011"
 ]
}

 The dataset includes 30 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022729-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4md9hv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipiter gularis (Temminck & Schlegel, 1844)",
 "Year 2004-2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022730-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqhsxd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is China",
 "GadmGid is one of (CHN.16.5.11_1, CHN.16.5.10_1, CHN.16.5.8_1, CHN.16.5.7_1, CHN.16.6.6_1, CHN.16.6.1_1, CHN.16.10.9_1, CHN.16.10.4_1, CHN.16.10.2_1, CHN.16.10.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Merops viridis Linnaeus, 1758",
 "Year 2004-2025"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022731-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksydq2
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Polysticta stelleri (Pallas, 1769)",
 "Year 2010-2010"
 ]
}

 The dataset includes 452 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022732-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6au946
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Polysticta stelleri (Pallas, 1769)",
 "Year 2011-2011"
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022733-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu4cmq
title: Occurrence Download

description: A dataset containing 74791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 74791 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022723-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17286422
title: Evaluation grids for global maps of soil temperature (Lembrechts et al. 2022)

description: The dataset contains evaluation grids for global maps of soil temperature (Lembrechts et al. 2022; https://doi.org/10.1111/gcb.16060) that assess the mismatch between two depth levels of 0−5 cm and 5−15 cm in terms of soil temperature physics. The grids show the differences between the two depth levels for seven soil bioclimatic variables, which were also translated into binary grids showing the suspicious and reliable cells. A composite grid is also available to show the number of suspicious grid cells among the seven considered soil bioclimatic variables:

 

dSBIO02 = grid showing differences between the two depth levels for the Mean Diurnal Range (Mean of monthly (max temp − min temp))

dSBIO02_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Diurnal Range (Mean of monthly (max temp − min temp))

dSBIO04 = grid showing differences between the two depth levels for the Temperature Seasonality (standard deviation × 100)

dSBIO04_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Temperature Seasonality (standard deviation × 100)

dSBIO05 = grid showing differences between the two depth levels for the Max Temperature of Warmest Month

dSBIO05_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Max Temperature of Warmest Month

dSBIO06 = grid showing differences between the two depth levels for the Min Temperature of Coldest Month

dSBIO06_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Min Temperature of Coldest Month

dSBIO07 = grid showing differences between the two depth levels for the Temperature Annual Range (SBIO5 − SBIO6)

dSBIO07_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Temperature Annual Range (SBIO5 − SBIO6)

dSBIO10 = grid showing differences between the two depth levels for the Mean Temperature of Warmest Quarter

dSBIO10_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Temperature of Warmest Quarter

dSBIO11 = grid showing differences between the two depth levels for the Mean Temperature of Coldest Quarter

dSBIO11_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Temperature of Coldest Quarter

pSBIO_susp = composite grid showing the number (0−7) of suspicious cells between the two depth levels among the seven considered soil bioclimatic variables

 

For further details, see the below publication, which the dataset is a supplement to:

Uxa, T., 2025. When Statistical Learning Violates Physics: An Extensive Mismatch in Soil Temperature–Depth Relationships in Global Maps of Soil Temperature. Global Change Biology 31(10), e70574. https://doi.org/10.1111/gcb.70574
DOI: 10.5281/zenodo.17286423
title: Evaluation grids for global maps of soil temperature (Lembrechts et al. 2022)

description: The dataset contains evaluation grids for global maps of soil temperature (Lembrechts et al. 2022; https://doi.org/10.1111/gcb.16060) that assess the mismatch between two depth levels of 0−5 cm and 5−15 cm in terms of soil temperature physics. The grids show the differences between the two depth levels for seven soil bioclimatic variables, which were also translated into binary grids showing the suspicious and reliable cells. A composite grid is also available to show the number of suspicious grid cells among the seven considered soil bioclimatic variables:

 

dSBIO02 = grid showing differences between the two depth levels for the Mean Diurnal Range (Mean of monthly (max temp − min temp))

dSBIO02_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Diurnal Range (Mean of monthly (max temp − min temp))

dSBIO04 = grid showing differences between the two depth levels for the Temperature Seasonality (standard deviation × 100)

dSBIO04_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Temperature Seasonality (standard deviation × 100)

dSBIO05 = grid showing differences between the two depth levels for the Max Temperature of Warmest Month

dSBIO05_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Max Temperature of Warmest Month

dSBIO06 = grid showing differences between the two depth levels for the Min Temperature of Coldest Month

dSBIO06_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Min Temperature of Coldest Month

dSBIO07 = grid showing differences between the two depth levels for the Temperature Annual Range (SBIO5 − SBIO6)

dSBIO07_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Temperature Annual Range (SBIO5 − SBIO6)

dSBIO10 = grid showing differences between the two depth levels for the Mean Temperature of Warmest Quarter

dSBIO10_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Temperature of Warmest Quarter

dSBIO11 = grid showing differences between the two depth levels for the Mean Temperature of Coldest Quarter

dSBIO11_bin = binary grid showing the suspicious (1) and reliable (0) cells between the two depth levels for the Mean Temperature of Coldest Quarter

pSBIO_susp = composite grid showing the number (0−7) of suspicious cells between the two depth levels among the seven considered soil bioclimatic variables

 

For further details, see the below publication, which the dataset is a supplement to:

Uxa, T., 2025. When Statistical Learning Violates Physics: An Extensive Mismatch in Soil Temperature–Depth Relationships in Global Maps of Soil Temperature. Global Change Biology 31(10), e70574. https://doi.org/10.1111/gcb.70574
DOI: 10.15468/dl.dygwgx
title: Occurrence Download

description: A dataset containing 40 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND occurrence.publishingcountry = 'TV'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 40 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004754-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v2zvc
title: Occurrence Download

description: A dataset containing 19885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colletes cunicularius",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19885 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004767-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.