cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30022327
title: Confocal microscopy images of HUVEC cells treated with NHNI ester 3 and silyl enol ether 4 (supporting data for Figure 7c of <i>Biocompatible decarboxylative coupling enabled by N-hydroxynaphthalimide esters</i>)

description: This dataset provides the complete confocal microscopy images corresponding to Figure 7c of the manuscript <i>Biocompatible decarboxylative coupling enabled by N-hydroxynaphthalimide esters</i>. HUVEC cells were treated with NHNI ester 3 and silyl enol ether 4, followed by blue LED irradiation (0–15 min). Three independent experiments were performed, and all raw images (fluorescence, brightfield, and merged) are included. Files are organized as follows:<b>All_images/</b>: complete datasets from three independent experiments (Exp1–3).File naming format: <code>HUVEC_Exp[Number]_[TimePoint]_[ImageType].tif</code>Example: <code>HUVEC_Exp2_10min_fluorescence.tif</code><b>Representative_images/</b>: representative merged images used in Figure 7c of the main text, selected across the three independent experiments.All images include a 50 μm scale bar. These data confirm the reproducibility of the results presented in Figure 7c and are provided for transparency and reuse.<br>The full list of authors of the corresponding manuscript is:Hongze Liao, Zhiyou Su, Jia Zhang, Shuai Liu, Meng-Jun Fan, Shu-Ping Wang, Fan Sun, Weihua Jiao, Lei Li, Hong-Rui Zhu, Yong-Jun Zhou, Zhizhen Zhang, and Hou-Wen Lin.
DOI: 10.6084/m9.figshare.30022327.v1
title: Confocal microscopy images of HUVEC cells treated with NHNI ester 3 and silyl enol ether 4 (supporting data for Figure 7c of <i>Biocompatible decarboxylative coupling enabled by N-hydroxynaphthalimide esters</i>)

description: This dataset provides the complete confocal microscopy images corresponding to Figure 7c of the manuscript <i>Biocompatible decarboxylative coupling enabled by N-hydroxynaphthalimide esters</i>. HUVEC cells were treated with NHNI ester 3 and silyl enol ether 4, followed by blue LED irradiation (0–15 min). Three independent experiments were performed, and all raw images (fluorescence, brightfield, and merged) are included. Files are organized as follows:<b>All_images/</b>: complete datasets from three independent experiments (Exp1–3).File naming format: <code>HUVEC_Exp[Number]_[TimePoint]_[ImageType].tif</code>Example: <code>HUVEC_Exp2_10min_fluorescence.tif</code><b>Representative_images/</b>: representative merged images used in Figure 7c of the main text, selected across the three independent experiments.All images include a 50 μm scale bar. These data confirm the reproducibility of the results presented in Figure 7c and are provided for transparency and reuse.<br>The full list of authors of the corresponding manuscript is:Hongze Liao, Zhiyou Su, Jia Zhang, Shuai Liu, Meng-Jun Fan, Shu-Ping Wang, Fan Sun, Weihua Jiao, Lei Li, Hong-Rui Zhu, Yong-Jun Zhou, Zhizhen Zhang, and Hou-Wen Lin.
DOI: 10.15468/dl.q76uat
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum uplandicum",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 734 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021254-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jv9q7
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Machilus nanmu"
 ]
}

 The dataset includes 481 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021255-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4asar
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba pauciflora"
 ]
}

 The dataset includes 1080 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021257-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmf4fh
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symphodus doderleini"
 ]
}

 The dataset includes 514 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021256-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxfhzs
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Dryophytes suweonensis, Hyla suweonensis)"
 ]
}

 The dataset includes 367 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021262-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5vms6
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum uplandicum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 349 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021258-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs74ra
title: Occurrence Download

description: A dataset containing 13160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum uplandicum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13160 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021260-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thf388
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Atractides invidendus, , Atractides latisetus, Atractides linearis, Atractides pulcher, , Atractides scutelliferus, Atractides scutifer, , , , , , , , , Hygrobates hamatus, , , , Limnesia, , Limnesia lucifera, Limnesia manubriata, , , Limnesia walteri, Limnochares crinita, Mideopsellides geae, , Piona, Pontarachna capensis, Pontarachna punctulum, , , , , , , , , Torrenticola harrisoni, , , , , , , , , , , , , Pronorites costata, , , , , )",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021259-250827131500795/datasets/export for details.
DOI: 10.15468/dl.nukpeq
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT invalid, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date unlikely, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Moupinia poecilotis"
 ]
}

 The dataset includes 214 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021263-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kvdqt
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphytum uplandicum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021266-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g7ths
title: Occurrence Download

description: A dataset containing 3690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symphodus mediterraneus"
 ]
}

 The dataset includes 3690 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021265-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfzjnx
title: Occurrence Download

description: A dataset containing 30052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microthlaspi perfoliatum"
 ]
}

 The dataset includes 30052 records from 631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021264-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc29bq2g
title: CCDC 2125455: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq3h
title: CCDC 2125456: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq4j
title: CCDC 2125457: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq5k
title: CCDC 2125458: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq6l
title: CCDC 2125459: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq7m
title: CCDC 2125460: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29bq8n
title: CCDC 2125461: Experimental Crystal Structure Determination

description: Related Article: Theresa E. Rieser, Renita Thim-Spöring, Dorothea Schädle, Peter Sirsch, Rannveig Litlab, Karl W. Törnroos, Cäcilia Maichle-Mössmer, Reiner Anwander|2022|J.Am.Chem.Soc.|144|4102|doi:10.1021/jacs.1c13142
DOI: 10.5517/ccdc.csd.cc29cxj4
title: CCDC 2126616: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxk5
title: CCDC 2126617: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxl6
title: CCDC 2126618: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxm7
title: CCDC 2126619: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxn8
title: CCDC 2126620: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxg2
title: CCDC 2126614: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29cxh3
title: CCDC 2126615: Experimental Crystal Structure Determination

description: Related Article: Grégoire Le Corre, Hansjörg Grützmacher|2022|Dalton Trans.|51|3497|doi:10.1039/D1DT04223H
DOI: 10.5517/ccdc.csd.cc29f0kb
title: CCDC 2127671: Experimental Crystal Structure Determination

description: Related Article: Hikaru Sakamoto, Akitaka Ito, Masataka Ohtani|2022|CrystEngComm|24|1690|doi:10.1039/D2CE00060A
DOI: 10.5517/ccdc.csd.cc29f0md
title: CCDC 2127673: Experimental Crystal Structure Determination

description: Related Article: Hikaru Sakamoto, Akitaka Ito, Masataka Ohtani|2022|CrystEngComm|24|1690|doi:10.1039/D2CE00060A
DOI: 10.5517/ccdc.csd.cc29f0nf
title: CCDC 2127674: Experimental Crystal Structure Determination

description: Related Article: Hikaru Sakamoto, Akitaka Ito, Masataka Ohtani|2022|CrystEngComm|24|1690|doi:10.1039/D2CE00060A
DOI: 10.5517/ccdc.csd.cc297pqz
title: CCDC 2122561: Experimental Crystal Structure Determination

description: Related Article: Yang-Tian Yan, Yun-long Wu, Li-Na Zheng, Wei-Cai, Peng-Fei Tang, Wei-Ping Wu, Wen-Yan Zhang, Yao-Yu Wang|2022|New J.Chem.|46|4292|doi:10.1039/D1NJ06217D
DOI: 10.5517/ccdc.csd.cc297ppy
title: CCDC 2122560: Experimental Crystal Structure Determination

description: Related Article: Yang-Tian Yan, Yun-long Wu, Li-Na Zheng, Wei-Cai, Peng-Fei Tang, Wei-Ping Wu, Wen-Yan Zhang, Yao-Yu Wang|2022|New J.Chem.|46|4292|doi:10.1039/D1NJ06217D
DOI: 10.5517/ccdc.csd.cc2903l1
title: CCDC 2115272: Experimental Crystal Structure Determination

description: Related Article: Hongbi Zhang, Xueguang Liu, Yongliang Shao, Wei Liu, Weisheng Liu|2022|New J.Chem.|46|4257|doi:10.1039/D1NJ05048F
DOI: 10.6084/m9.figshare.19350755
title: qPCR data for Pathogenic Enterobacteriaceae require multiple culture temperatures for detection in Cannabis sativa L.

description: qPCR data for Pathogenic Enterobacteriaceae require multiple culture temperatures for detection in Cannabis sativa L.
DOI: 10.6084/m9.figshare.19350755.v1
title: qPCR data for Pathogenic Enterobacteriaceae require multiple culture temperatures for detection in Cannabis sativa L.

description: qPCR data for Pathogenic Enterobacteriaceae require multiple culture temperatures for detection in Cannabis sativa L.
DOI: 10.5281/zenodo.5880326
title: Gammaproteobacteria protein dataset

description: This dataset contains faa and gff files originating from RefSeq Gammaproteobacteria complete sequence database available on 2020 Jul 10. Files ending with .phr, .pin, and .psq are blast database.
DOI: 10.5281/zenodo.5885688
title: Betaproteobacteria protein dataset

description: This dataset contains faa and gff files originating from RefSeq Betaproteobacteria complete sequence database available on 2020 Sept 5. Files ending with .phr, .pin, and .psq are blast database.
DOI: 10.5281/zenodo.5885687
title: Betaproteobacteria protein dataset

description: This dataset contains faa and gff files originating from RefSeq Betaproteobacteria complete sequence database available on 2020 Sept 5. Files ending with .phr, .pin, and .psq are blast database.
DOI: 10.5281/zenodo.6349605
title: Companion for "Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements"

description: This is the Companion Material for the paper “Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements”, by Ana Luisa Veroneze Solórzano and Lucas Mello Schnorr. The manuscript was approved for publication in the ISC High Performance 2022 for the Research Papers session. A public companion is also availabl in GitLab: https://gitlab.com/anaveroneze/isc2022-companion.
DOI: 10.5281/zenodo.6341582
title: Companion for "Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements"

description: This is the Companion Material for the paper “Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements”, by Ana Luisa Veroneze Solórzano and Lucas Mello Schnorr. The manuscript was approved for publication in the ISC High Performance 2022 for the Research Papers session. A public companion is also availabl in GitLab: https://gitlab.com/anaveroneze/isc2022-companion.
DOI: 10.17632/3fg277j4vz.1
title: Oxygen isotopes of waters and bivalves from the Coorong Lagoon, South Australia, from 2016-2018

description: To assess the fractionation of oxygen isotopes into the bivalve species Arthritica helmsi, live bivalve shells were collected alongside the waters in which they inhabit. Samples were collected at sites along the Coorong Lagoon and Lake Alexandrina in South Australia – the estuarine system at the terminus of Australia’s Murray River. Whole shell analyses of oxygen and carbon isotopes (n = 135) were measured on samples collected on 6 occasions from November 2016 to May 2018. Oxygen and hydrogen isotope analyses of waters were measured along with salinity and temperature monthly over the same time period (n = 137).
DOI: 10.5281/zenodo.5878792
title: Resilience estimates of Amazon and Congo rainforests based on mean annual precipitation and root zone storage capacity

description: Resilience refers to the capacity of the ecosystem to absorb perturbations and remain in its native stable state. Here, we quantified forest resilience of South American and African ecosystems using mean annual precipitation and root zone storage capacity (2000-2019). We adopted Hirota et al. (2011) methodology for calculating resilience using logistic regression. This logistic regression predicts the probability of forest (tree cover &gt; 50%) as a function of the independent variable. The predicted resilience estimates range between 0 to 1, where 1 represents the highest probability of finding forest – interpreted as highly resilient forest ecosystems. For more information, check: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16115
description: 'P' refers to Mean Precipitation (mm/year) 'Sr' refers to Root zone storage capacity (mm) 'SA' refers to South America 'AF' refers to Africa
description: {"references": ["Singh, C., van der Ent, R., Wang\u2010Erlandsson, L., & Fetzer, I. (2022). Hydroclimatic adaptation critical to the resilience of tropical forests. Global Change Biology.", "Hirota, M., Holmgren, M., Van Nes, E. H., & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334(6053), 232-235."]}
DOI: 10.5281/zenodo.5878791
title: Resilience estimates of Amazon and Congo rainforests based on mean annual precipitation and root zone storage capacity

description: Resilience refers to the capacity of the ecosystem to absorb perturbations and remain in its native stable state. Here, we quantified forest resilience of South American and African ecosystems using mean annual precipitation and root zone storage capacity (2000-2019). We adopted Hirota et al. (2011) methodology for calculating resilience using logistic regression. This logistic regression predicts the probability of forest (tree cover &gt; 50%) as a function of the independent variable. The predicted resilience estimates range between 0 to 1, where 1 represents the highest probability of finding forest – interpreted as highly resilient forest ecosystems. For more information, check: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16115
description: 'P' refers to Mean Precipitation (mm/year) 'Sr' refers to Root zone storage capacity (mm) 'SA' refers to South America 'AF' refers to Africa
description: {"references": ["Singh, C., van der Ent, R., Wang\u2010Erlandsson, L., & Fetzer, I. (2022). Hydroclimatic adaptation critical to the resilience of tropical forests. Global Change Biology.", "Hirota, M., Holmgren, M., Van Nes, E. H., & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334(6053), 232-235."]}
DOI: 10.15468/dl.hsk42n
title: Occurrence Download

description: A dataset containing 2577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Estructura Ecológica de la Subregión Norte de Caldas, Contrato para actividades científicas y tecnológicas No. 222-2018 entre Corpocaldas y WCS"
 ]
}

 The dataset includes 2577 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044925-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.