cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/musewide/dr.1/13480
title: Object GUO_ID 13480 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13483
title: Object GUO_ID 13483 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13486
title: Object GUO_ID 13486 in candels-cdfs-41

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13496
title: Object GUO_ID 13496 in candels-cdfs-41

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.uxzy4g
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium pratericola",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011636-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/13498
title: Object GUO_ID 13498 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13499
title: Object GUO_ID 13499 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/135002046
title: Object UNIQUE_ID 135002046 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135005170
title: Object UNIQUE_ID 135005170 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.15468/dl.5gt7wq
title: Occurrence Download

description: A dataset containing 6498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 1967"
 ]
}

 The dataset includes 6498 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011635-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/135006171
title: Object UNIQUE_ID 135006171 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135008175
title: Object UNIQUE_ID 135008175 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135009176
title: Object UNIQUE_ID 135009176 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135010177
title: Object UNIQUE_ID 135010177 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135010178
title: Object UNIQUE_ID 135010178 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135013182
title: Object UNIQUE_ID 135013182 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135014183
title: Object UNIQUE_ID 135014183 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135015184
title: Object UNIQUE_ID 135015184 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135016185
title: Object UNIQUE_ID 135016185 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135017186
title: Object UNIQUE_ID 135017186 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135018192
title: Object UNIQUE_ID 135018192 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.15468/dl.jemx4b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium pratericola",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011637-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/135019198
title: Object UNIQUE_ID 135019198 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135020201
title: Object UNIQUE_ID 135020201 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135021202
title: Object UNIQUE_ID 135021202 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135023210
title: Object UNIQUE_ID 135023210 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135024214
title: Object UNIQUE_ID 135024214 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135026216
title: Object UNIQUE_ID 135026216 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135027217
title: Object UNIQUE_ID 135027217 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135028218
title: Object UNIQUE_ID 135028218 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135029219
title: Object UNIQUE_ID 135029219 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/13502
title: Object GUO_ID 13502 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.25574/25451
title: Chandra X-ray Observatory ObsId 25451

description: A Chandra Survey of the Definitive Low-Luminosity AGN Sample
DOI: 10.17876/musewide/dr.1/135030220
title: Object UNIQUE_ID 135030220 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135031221
title: Object UNIQUE_ID 135031221 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135035225
title: Object UNIQUE_ID 135035225 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.6084/m9.figshare.30149236
title: Dataset for Comparative evaluation and performance of large language models inclinical infection control scenarios: a benchmark study

description: This cross-sectional benchmarking study evaluated three large language models (LLMs)—GPT-4.1, DeepSeek V3, and Gemini 2.5 Pro Experimental—for supporting infection control nurses (ICNs) in clinical infection prevention and control (IPC) consultations. Using 30 real hospital scenarios from Queen Mary Hospital (Hong Kong), each LLM first generated clarifying questions, then produced recommendations via two prompting methods: open-ended and a structured template. Sixteen experts (ICNs and physicians) rated outputs on coherence, conciseness, usefulness/relevance, evidence quality, and actionability (1–10). GPT-4.1 and DeepSeek V3 outperformed Gemini on composite quality (36.77 ± 7.53; 36.25 ± 8.02 vs. 33.22 ± 7.92; p &lt; 0.001). GPT-4.1 led in evidence quality. Task time was similar across models (≈2–3 minutes). Gemini failed to generate responses in 50% of scenarios, likely due to context-length limits. Structured prompting yielded small but significant improvements overall, driven mainly by better evidence quality, with variable gains across models. Despite acceptable scores, qualitative review identified critical safety issues in all models, including flawed clinical judgment (e.g., initiating TB treatment based solely on AFB smear; overly aggressive measles isolation) and impractical or policy-inconsistent advice (e.g., MDRA isolation). Doctors scored outputs higher than nurses; senior doctors scored highest. Conclusion: GPT-4.1 and DeepSeek V3 can assist but are not reliable for autonomous IPC decision-making. LLMs should augment, not replace, ICNs’ expertise.
DOI: 10.6084/m9.figshare.30149236.v2
title: Dataset for Comparative evaluation and performance of large language models inclinical infection control scenarios: a benchmark study

description: This cross-sectional benchmarking study evaluated three large language models (LLMs)—GPT-4.1, DeepSeek V3, and Gemini 2.5 Pro Experimental—for supporting infection control nurses (ICNs) in clinical infection prevention and control (IPC) consultations. Using 30 real hospital scenarios from Queen Mary Hospital (Hong Kong), each LLM first generated clarifying questions, then produced recommendations via two prompting methods: open-ended and a structured template. Sixteen experts (ICNs and physicians) rated outputs on coherence, conciseness, usefulness/relevance, evidence quality, and actionability (1–10). GPT-4.1 and DeepSeek V3 outperformed Gemini on composite quality (36.77 ± 7.53; 36.25 ± 8.02 vs. 33.22 ± 7.92; p &lt; 0.001). GPT-4.1 led in evidence quality. Task time was similar across models (≈2–3 minutes). Gemini failed to generate responses in 50% of scenarios, likely due to context-length limits. Structured prompting yielded small but significant improvements overall, driven mainly by better evidence quality, with variable gains across models. Despite acceptable scores, qualitative review identified critical safety issues in all models, including flawed clinical judgment (e.g., initiating TB treatment based solely on AFB smear; overly aggressive measles isolation) and impractical or policy-inconsistent advice (e.g., MDRA isolation). Doctors scored outputs higher than nurses; senior doctors scored highest. Conclusion: GPT-4.1 and DeepSeek V3 can assist but are not reliable for autonomous IPC decision-making. LLMs should augment, not replace, ICNs’ expertise.
DOI: 10.17876/musewide/dr.1/135036226
title: Object UNIQUE_ID 135036226 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.6084/m9.figshare.30149236.v1
title: Dataset for Comparative evaluation and performance of large language models inclinical infection control scenarios: a benchmark study

description: This cross-sectional benchmarking study evaluated three large language models (LLMs)—GPT-4.1, DeepSeek V3, and Gemini 2.5 Pro Experimental—for supporting infection control nurses (ICNs) in clinical infection prevention and control (IPC) consultations. Using 30 real hospital scenarios from Queen Mary Hospital (Hong Kong), each LLM first generated clarifying questions, then produced recommendations via two prompting methods: open-ended and a structured template. Sixteen experts (ICNs and physicians) rated outputs on coherence, conciseness, usefulness/relevance, evidence quality, and actionability (1–10). GPT-4.1 and DeepSeek V3 outperformed Gemini on composite quality (36.77 ± 7.53; 36.25 ± 8.02 vs. 33.22 ± 7.92; p &lt; 0.001). GPT-4.1 led in evidence quality. Task time was similar across models (≈2–3 minutes). Gemini failed to generate responses in 50% of scenarios, likely due to context-length limits. Structured prompting yielded small but significant improvements overall, driven mainly by better evidence quality, with variable gains across models. Despite acceptable scores, qualitative review identified critical safety issues in all models, including flawed clinical judgment (e.g., initiating TB treatment based solely on AFB smear; overly aggressive measles isolation) and impractical or policy-inconsistent advice (e.g., MDRA isolation). Doctors scored outputs higher than nurses; senior doctors scored highest. Conclusion: GPT-4.1 and DeepSeek V3 can assist but are not reliable for autonomous IPC decision-making. LLMs should augment, not replace, ICNs’ expertise.
DOI: 10.17876/musewide/dr.1/135037227
title: Object UNIQUE_ID 135037227 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.25574/26844
title: Chandra X-ray Observatory ObsId 26844

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.17876/musewide/dr.1/135038228
title: Object UNIQUE_ID 135038228 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135039229
title: Object UNIQUE_ID 135039229 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/13503
title: Object GUO_ID 13503 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/135040230
title: Object UNIQUE_ID 135040230 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135041231
title: Object UNIQUE_ID 135041231 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135042232
title: Object UNIQUE_ID 135042232 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.15468/dl.gew6at
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011638-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/135044234
title: Object UNIQUE_ID 135044234 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135045235
title: Object UNIQUE_ID 135045235 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135046236
title: Object UNIQUE_ID 135046236 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135047237
title: Object UNIQUE_ID 135047237 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135048238
title: Object UNIQUE_ID 135048238 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135049239
title: Object UNIQUE_ID 135049239 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135051241
title: Object UNIQUE_ID 135051241 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.15468/dl.erfx77
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreomystis bairdi"
 ]
}

 The dataset includes 534 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011640-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/135053243
title: Object UNIQUE_ID 135053243 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135054244
title: Object UNIQUE_ID 135054244 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135055245
title: Object UNIQUE_ID 135055245 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135056246
title: Object UNIQUE_ID 135056246 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135057247
title: Object UNIQUE_ID 135057247 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/135058248
title: Object UNIQUE_ID 135058248 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 emmission line catalog.
DOI: 10.17876/musewide/dr.1/13506
title: Object GUO_ID 13506 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13510
title: Object GUO_ID 13510 in candels-cdfs-35

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.rhrwzd
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Specimen)",
 "TaxonKey is Eremanthus incanus"
 ]
}

 The dataset includes 756 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011641-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/13513
title: Object GUO_ID 13513 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13517
title: Object GUO_ID 13517 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.6084/m9.figshare.30149158
title: DeepB3Pred - code

description: DeepB3Pred uses the following dependencies:MATLAB2018a python 3.10 numpy scipy pandas scikit-learn catboost= 1.1.1 gc_forset xgboost-1.5.0 tensorflow=1.15.0 Keras=2.1.6Guiding principles:The data contains a training dataset and a testing dataset. The training dataset TR_BB.fasta includes BBB_pos and BBB_neg training samples. Testing dataset TS_BB includes BBB_pos and BBB_neg testing samplesFeature_Extraction: CPSR is the implementation of component protein sequence representation. MCTD is the implementation of composition-transition and distribution, and GSFE is the implementation of graphical and statistical-based feature engineering.Classifier: DeepB3Pred.py is the implementation of the proposed method to predict B3PPs and non-B3PPs.
DOI: 10.6084/m9.figshare.30149158.v1
title: DeepB3Pred - code

description: DeepB3Pred uses the following dependencies:MATLAB2018a python 3.10 numpy scipy pandas scikit-learn catboost= 1.1.1 gc_forset xgboost-1.5.0 tensorflow=1.15.0 Keras=2.1.6Guiding principles:The data contains a training dataset and a testing dataset. The training dataset TR_BB.fasta includes BBB_pos and BBB_neg training samples. Testing dataset TS_BB includes BBB_pos and BBB_neg testing samplesFeature_Extraction: CPSR is the implementation of component protein sequence representation. MCTD is the implementation of composition-transition and distribution, and GSFE is the implementation of graphical and statistical-based feature engineering.Classifier: DeepB3Pred.py is the implementation of the proposed method to predict B3PPs and non-B3PPs.
DOI: 10.17876/musewide/dr.1/13521
title: Object GUO_ID 13521 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13522
title: Object GUO_ID 13522 in candels-cdfs-11

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13523
title: Object GUO_ID 13523 in candels-cdfs-30

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/13524
title: Object GUO_ID 13524 in candels-cdfs-45

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.4tvpen
title: Occurrence Download

description: A dataset containing 2824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polititapes aureus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 2824 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011639-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b40cyr
title: Occurrence Download

description: A dataset containing 61880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.26818 38.60972,-90.26921 38.60499,-90.26674 38.60524,-90.24219 38.60277,-90.24139 38.60704,-90.26818 38.60972))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 61880 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013562-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4pu5e
title: Occurrence Download

description: A dataset containing 4979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "Year 2001-2020",
 "HasCoordinate is true",
 "TaxonKey is Dipodomys Gray, 1841",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4979 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056989-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz0asr
title: Occurrence Download

description: A dataset containing 86270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoscleropodium purum (Hedw.) M.Fleisch."
 ]
}

 The dataset includes 86270 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013567-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpx94r
title: Occurrence Download

description: A dataset containing 42776 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is alien_plant_species_ro"
 ]
}

 The dataset includes 42776 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014931-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbz68n
title: Occurrence Download

description: A dataset containing 31539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Veronica sublobata M.A.Fisch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31539 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076386-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.