cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4j9jcs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.640958 24.105257, 88.564029 24.09968, 88.489013 24.083088, 88.417776 24.055893, 88.352085 24.018772, 88.293566 23.972646, 88.243664 23.91866, 88.203603 23.858152, 88.174361 23.792619, 88.156644 23.723682, 88.15087 23.653041, 88.157163 23.582438, 88.175349 23.513609, 88.204964 23.448245, 88.24526299999999 23.387949, 88.295248 23.334198, 88.353685 23.288308, 88.41913700000001 23.251399, 88.490002 23.224373, 88.564549 23.207889, 88.640958 23.202349, 88.717367 23.207889, 88.79191400000001 23.224373, 88.862779 23.251399, 88.928231 23.288308, 88.98666799999999 23.334198, 89.036653 23.387949, 89.07695200000001 23.448245, 89.106567 23.513609, 89.124753 23.582438, 89.131046 23.653041, 89.125272 23.723682, 89.107555 23.792619, 89.07831299999999 23.858152, 89.038252 23.91866, 88.98835 23.972646, 88.92983099999999 24.018772, 88.86414000000001 24.055893, 88.792903 24.083088, 88.717887 24.09968, 88.640958 24.105257))"},{"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/0003736-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg5xuc
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistugidae"
 ]
}

 The dataset includes 52 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003737-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ckbpp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.595 3.550169, 99.524603 3.5446, 99.45594199999999 3.528029, 99.39071 3.500865, 99.33051399999999 3.463779, 99.276837 3.417683, 99.231002 3.363714, 99.194137 3.303203, 99.167148 3.23764, 99.15069800000001 3.168641, 99.145189 3.097904, 99.150757 3.027172, 99.16726 2.958186, 99.19429100000001 2.892644, 99.231184 2.832159, 99.277028 2.778219, 99.33069500000001 2.732153, 99.39086399999999 2.695092, 99.45605399999999 2.667949, 99.52466200000001 2.651391, 99.595 2.645827, 99.66533800000001 2.651391, 99.733946 2.667949, 99.799136 2.695092, 99.85930500000001 2.732153, 99.912972 2.778219, 99.958816 2.832159, 99.99570900000001 2.892644, 100.02274 2.958186, 100.039243 3.027172, 100.044811 3.097904, 100.039302 3.168641, 100.022852 3.23764, 99.995863 3.303203, 99.95899799999999 3.363714, 99.913163 3.417683, 99.859486 3.463779, 99.79929 3.500865, 99.734058 3.528029, 99.665397 3.5446, 99.595 3.550169))"},{"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/0003739-260120142942310/datasets/export for details.
DOI: 10.15468/dl.c6w8qy
title: Occurrence Download

description: A dataset containing 13374 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bees of Portugal Collection, Science Museum of the University of Coimbra"
 ]
}

 The dataset includes 13374 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003740-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.taml.00004
title: Source code for MetaOpenFOAM: LLM-assisted sensitivity analysis and optimization in CFD
title: Source code for MetaOpenFOAM: LLM-assisted sensitivity analysis and optimization in CFD

description: This dataset provides the source code supporting the paper “Large Language Model-Assisted Sensitivity Analysis and Parameter Optimization in Computational Fluid Dynamics”, submitted to Theoretical and Applied Mechanics Letters.The repository contains the implementation of the OptMetaOpenFOAM framework, including the LLM-driven workflow orchestration, CFD simulation automation, post-processing, sensitivity analysis, and parameter optimization modules.All numerical results and figures reported in the paper can be reproduced by running the provided code with standard OpenFOAM tutorials or user-defined cases. Simulation data are not included, as they are generated deterministically through the executable workflow.
description: This dataset provides the source code supporting the paper “Large Language Model-Assisted Sensitivity Analysis and Parameter Optimization in Computational Fluid Dynamics”, submitted to Theoretical and Applied Mechanics Letters.The repository contains the implementation of the OptMetaOpenFOAM framework, including the LLM-driven workflow orchestration, CFD simulation automation, post-processing, sensitivity analysis, and parameter optimization modules.All numerical results and figures reported in the paper can be reproduced by running the provided code with standard OpenFOAM tutorials or user-defined cases. Simulation data are not included, as they are generated deterministically through the executable workflow.
DOI: 10.15468/dl.hd45bs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.640958 24.105257, 88.564029 24.09968, 88.489013 24.083088, 88.417776 24.055893, 88.352085 24.018772, 88.293566 23.972646, 88.243664 23.91866, 88.203603 23.858152, 88.174361 23.792619, 88.156644 23.723682, 88.15087 23.653041, 88.157163 23.582438, 88.175349 23.513609, 88.204964 23.448245, 88.24526299999999 23.387949, 88.295248 23.334198, 88.353685 23.288308, 88.41913700000001 23.251399, 88.490002 23.224373, 88.564549 23.207889, 88.640958 23.202349, 88.717367 23.207889, 88.79191400000001 23.224373, 88.862779 23.251399, 88.928231 23.288308, 88.98666799999999 23.334198, 89.036653 23.387949, 89.07695200000001 23.448245, 89.106567 23.513609, 89.124753 23.582438, 89.131046 23.653041, 89.125272 23.723682, 89.107555 23.792619, 89.07831299999999 23.858152, 89.038252 23.91866, 88.98835 23.972646, 88.92983099999999 24.018772, 88.86414000000001 24.055893, 88.792903 24.083088, 88.717887 24.09968, 88.640958 24.105257))"},{"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/0003743-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgfv3b
title: Occurrence Download

description: A dataset containing 4616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula, )",
 "HasCoordinate is true",
 "Country is Brazil"
 ]
}

 The dataset includes 4616 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003742-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u32jb5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.32899999999999 3.564169, 99.258602 3.5586, 99.18994000000001 3.542029, 99.124707 3.514865, 99.06451 3.477778, 99.01083300000001 3.431683, 98.964997 3.377714, 98.92813099999999 3.317203, 98.90114199999999 3.25164, 98.884692 3.18264, 98.879183 3.111904, 98.88475099999999 3.041171, 98.90125500000001 2.972185, 98.928286 2.906643, 98.96517900000001 2.846158, 99.01102400000001 2.792219, 99.06469199999999 2.746152, 99.12486199999999 2.709092, 99.19005300000001 2.681949, 99.258661 2.665392, 99.32899999999999 2.659827, 99.399339 2.665392, 99.467947 2.681949, 99.53313799999999 2.709092, 99.59330799999999 2.746152, 99.646976 2.792219, 99.692821 2.846158, 99.729714 2.906643, 99.756745 2.972185, 99.77324900000001 3.041171, 99.778817 3.111904, 99.773308 3.18264, 99.75685799999999 3.25164, 99.72986899999999 3.317203, 99.693003 3.377714, 99.647167 3.431683, 99.59349 3.477778, 99.533293 3.514865, 99.46805999999999 3.542029, 99.39939800000001 3.5586, 99.32899999999999 3.564169))"},{"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/0003744-260120142942310/datasets/export for details.
DOI: 10.15468/dl.emdrc4
title: Occurrence Download

description: A dataset containing 22969855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves, Puma concolor)",
 "HasCoordinate is true",
 "Country is Brazil"
 ]
}

 The dataset includes 22969855 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003712-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/6jea-qq64
title: Parkes observations for project P1176 semester 2024OCTS_04

description: Pulsars and their winds are among nature's most powerful particle accelerators, producing particles with energies up to a few PeVatrons. In addition to high-energy radiation from the magnetosphere, the rotational energy of a neutron star is carried away in the form of magnetized ultra-relativistic pulsar winds. Investigation of pulsar wind nebula (PWN) offers an excellent chance to determine the interaction details of relativistic flows with their surroundings that may never be possible in other classes of source. Our recent analyses of ASKAP observations of Galactic Plane uncovered previously known X-ray PWN CXOU J163802.6-471358 (nicknamed Potoroo). Recently, we have successfully detected a pulsar candidate associated with Potoroo with Parkes telescope. It is detected at 3 GHz with a dispersion measure of DM = 1553 pc cm-3 and a rotation period of 65.74 ms. Here we propose to continue timing observations for this young pulsar with the Parkes Ultra-Wideband Low (UWL) receiver. Through pulsar timing, we will be able to obtain precise measurements of the pulsar position and the spin-down of the pulsar which enables us to independently estimate the age of the system. This program will also facilitate our LBA observations to measure proper motions of the pulsar through pulse-phased resolved VLBI experiments.
DOI: 10.15468/dl.hd8vmb
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smilodon fatalis"
 ]
}

 The dataset includes 379 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003745-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8abdes
title: Occurrence Download

description: A dataset containing 6943 records in GBIF matching the query:
SELECT
 '59' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -24.552553756517728
 AND decimalLatitude &lt;= -20.3845909579754
 AND decimalLongitude &gt;= 31.153814616757828
 AND decimalLongitude &lt;= 37.030321616611275
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 6943 records were derived from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003733-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wzbrx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.667941 24.108182, 88.59101 24.102605, 88.51599299999999 24.086013, 88.444754 24.058818, 88.37906099999999 24.021697, 88.32054100000001 23.975571, 88.27063800000001 23.921584, 88.230576 23.861076, 88.20133300000001 23.795544, 88.183616 23.726607, 88.177842 23.655966, 88.184136 23.585363, 88.202322 23.516534, 88.231937 23.45117, 88.272238 23.390874, 88.32222400000001 23.337124, 88.380661 23.291233, 88.44611500000001 23.254324, 88.516982 23.227298, 88.59153000000001 23.210814, 88.667941 23.205274, 88.74435200000001 23.210814, 88.8189 23.227298, 88.88976700000001 23.254324, 88.95522099999999 23.291233, 89.01365800000001 23.337124, 89.063644 23.390874, 89.103945 23.45117, 89.13356 23.516534, 89.151746 23.585363, 89.15804 23.655966, 89.152266 23.726607, 89.13454900000001 23.795544, 89.105306 23.861076, 89.06524400000001 23.921584, 89.01534100000001 23.975571, 88.95682100000001 24.021697, 88.89112799999999 24.058818, 88.819889 24.086013, 88.744872 24.102605, 88.667941 24.108182))"},{"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/0003746-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14575356
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.z7en5p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.265 3.567169, 117.194602 3.5616, 117.12594 3.545029, 117.060706 3.517865, 117.000509 3.480778, 116.946832 3.434683, 116.900996 3.380714, 116.86413 3.320203, 116.837141 3.25464, 116.82069 3.18564, 116.815182 3.114904, 116.82075 3.044171, 116.837253 2.975185, 116.864285 2.909643, 116.901178 2.849158, 116.947023 2.795219, 117.000691 2.749152, 117.060861 2.712092, 117.126052 2.684949, 117.194661 2.668392, 117.265 2.662827, 117.335339 2.668392, 117.403948 2.684949, 117.469139 2.712092, 117.529309 2.749152, 117.582977 2.795219, 117.628822 2.849158, 117.665715 2.909643, 117.692747 2.975185, 117.70925 3.044171, 117.714818 3.114904, 117.70931 3.18564, 117.692859 3.25464, 117.66587 3.320203, 117.629004 3.380714, 117.583168 3.434683, 117.529491 3.480778, 117.469294 3.517865, 117.40406 3.545029, 117.335398 3.5616, 117.265 3.567169))"},{"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/0003747-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18332207
title: SuperDARN meteor winds product (1993 - 2024)

description: SuperDARN meteor wind data covering 1993 - 2024. These observations represent an average over approximately 80 - 100 km (contribution function parameters now stored in the files).  Supported by NSF #1934973 & #2426201 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support.

SuperDARN is an international collaboration operating ~35 high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact superdarn at jhuapl dot edu for information about this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
description: more bug-fixes. new ML model used to estimate altitudinal contribution function. New version of meteorproc algorithm implemented. Gaps filled
DOI: 10.5281/zenodo.7984852
title: SuperDARN meteor winds product (1993 - 2024)

description: SuperDARN meteor wind data covering 1993 - 2024. These observations represent an average over approximately 80 - 100 km (contribution function parameters now stored in the files).  Supported by NSF #1934973 & #2426201 Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support.

SuperDARN is an international collaboration operating ~35 high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact superdarn at jhuapl dot edu for information about this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
description: more bug-fixes. new ML model used to estimate altitudinal contribution function. New version of meteorproc algorithm implemented. Gaps filled
DOI: 10.15468/dl.v5v6np
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.18032 38.4409,-81.72551 38.4409,-81.72551 42.99119,-97.18032 42.99119,-97.18032 38.4409))",
 "HasCoordinate is true",
 "TaxonKey is Ectemnius rufifemur"
 ]
}

 The dataset includes 55 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003749-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u47gwf
title: Occurrence Download

description: A dataset containing 20972 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Auckland Museum Land Vertebrates Collection"
 ]
}

 The dataset includes 20972 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003748-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.