cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m4kg3g
title: Occurrence Download

description: A dataset containing 264 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 = 'd0a90634-21fb-4c76-9081-98bf3930ad7c'
 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 264 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054275-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29355575
title: RT-qPCR verification of 4 biomarkers expression levels.xlsx

description: <b>Background:</b> Early diagnosis of sepsis is essential to reducing mortality. Immune cells and telomeres play important roles in sepsis, but their mechanisms were still unclear. This study aimed to explore the value of immune cells and telomere-related genes in sepsis.<b>Methods:</b> In this study, the transcriptomic data with sepsis and control samples were obtained from public database. Multiple methods including differential expression analysis, immune infiltration analysis, WGCNA, 101 machine learning algorithm combinations were used to identify biomarkers which related to the immune cells and telomere. Afterwards, a nomogram was constructed to assess the clinical predictive value of biomarkers. In addition, the gene set enrichment analysis (GSEA), regulatory network construction and drug prediction analysis were adopted to demonstrate the role of biomarkers in sepsis. The key cells were also identified using a single-cell dataset. Finally, the expression of biomarkers was further validated in clinical samples by RT-qPCR.<b>Results:</b> This study obtained a total of 4 biomarkers (MYO10, SULT1B1, MKI67, and CREB5), and the analysis of nomogram showed that the biomarkers had good clinical predictive value to sepsis. The enrichment analysis results revealed that the four biomarkers were enriched in the ribosome pathway. Besides, a lncRNAs-miRNAs-biomarkers network was constructed for the four biomarkers. Finally, we obtained a candidate drug (MS-275) and a key cell (CD16+ and CD14+ monocytes) respectively based on drug prediction and cell identification analysis. In addition, we found that the expression levels of CREB5 and SULT1B1 had significant changes during the process of key cell differentiation.The RT-qPCR results showed biomarkers were upregulated in the sepsis group, consistent with the bioinformatics analysis results.<b>Conclusion:</b> This study identified 4 biomarkers, namely MYO10, SULT1B1, MKI67, and CREB5 and explored the pathogenesis of sepsis, providing new insights for potential treatment strategies by integrating transcriptomic data and single-cell analysis.
DOI: 10.6084/m9.figshare.29355575.v1
title: RT-qPCR verification of 4 biomarkers expression levels.xlsx

description: <b>Background:</b> Early diagnosis of sepsis is essential to reducing mortality. Immune cells and telomeres play important roles in sepsis, but their mechanisms were still unclear. This study aimed to explore the value of immune cells and telomere-related genes in sepsis.<b>Methods:</b> In this study, the transcriptomic data with sepsis and control samples were obtained from public database. Multiple methods including differential expression analysis, immune infiltration analysis, WGCNA, 101 machine learning algorithm combinations were used to identify biomarkers which related to the immune cells and telomere. Afterwards, a nomogram was constructed to assess the clinical predictive value of biomarkers. In addition, the gene set enrichment analysis (GSEA), regulatory network construction and drug prediction analysis were adopted to demonstrate the role of biomarkers in sepsis. The key cells were also identified using a single-cell dataset. Finally, the expression of biomarkers was further validated in clinical samples by RT-qPCR.<b>Results:</b> This study obtained a total of 4 biomarkers (MYO10, SULT1B1, MKI67, and CREB5), and the analysis of nomogram showed that the biomarkers had good clinical predictive value to sepsis. The enrichment analysis results revealed that the four biomarkers were enriched in the ribosome pathway. Besides, a lncRNAs-miRNAs-biomarkers network was constructed for the four biomarkers. Finally, we obtained a candidate drug (MS-275) and a key cell (CD16+ and CD14+ monocytes) respectively based on drug prediction and cell identification analysis. In addition, we found that the expression levels of CREB5 and SULT1B1 had significant changes during the process of key cell differentiation.The RT-qPCR results showed biomarkers were upregulated in the sepsis group, consistent with the bioinformatics analysis results.<b>Conclusion:</b> This study identified 4 biomarkers, namely MYO10, SULT1B1, MKI67, and CREB5 and explored the pathogenesis of sepsis, providing new insights for potential treatment strategies by integrating transcriptomic data and single-cell analysis.
DOI: 10.15468/dl.evshtf
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes Bory, 1822",
 "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 ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054289-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwzk8j
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drepanostachyum falcatum (Nees) Keng f."
 ]
}

 The dataset includes 41 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054288-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzvd8u
title: Occurrence Download

description: A dataset containing 1342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Botaurus stellaris (Linnaeus, 1758)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1342 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054290-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6471190
title: AQMLS PANTANAL

description: Results from burned area product over Brazilian wetlands (Pantanal) derived from AQMLS developed on Laboratory for Environmental Satellite Applications (LASA) based in Federal University of Rio de Janeiro (UFRJ) from 2003 through 2020. For additional information about these results, please see the LASA website. 
description: This version has one band with Burn Date (BD) at Julian day (1 to 366) for each year. Example: AQMLS_YYYY_BD.tif
The Pantanal biome used was derived from  Instituto Brasileiro de Geografia e Estatistica (IBGE, 2019).
DOI: 10.5281/zenodo.6471191
title: AQMLS PANTANAL

description: Results from burned area product over Brazilian wetlands (Pantanal) derived from AQMLS developed on Laboratory for Environmental Satellite Applications (LASA) based in Federal University of Rio de Janeiro (UFRJ) from 2003 through 2020. For additional information about these results, please see the LASA website. 
description: This version has one band with Burn Date (BD) at Julian day (1 to 366) for each year. Example: AQMLS_YYYY_BD.tif
The Pantanal biome used was derived from  Instituto Brasileiro de Geografia e Estatistica (IBGE, 2019).
DOI: 10.5281/zenodo.7981406
title: CERRADO ALARMES HISTORIC

description: Burned area product over the Cerrado and Pantanal biomes, Brazil, derived from ALARMES developed by the Laboratory for Environmental Satellite Applications (LASA) based at the Federal University of Rio de Janeiro (UFRJ) from 2012 through 2021. For additional information about these results, please see the ALARMES website. 
description: This version has one band with Burn Date (BD) at Julian Day (1 to 366) for each year. Example: CERRADO_ALARMES_HIST_v2_BD_YYYY.tif
The biomes polygons used were derived from Instituto Brasileiro de Geografia e Estatistica (IBGE, 2019).
DOI: 10.5281/zenodo.6471179
title: CERRADO ALARMES HISTORIC

description: Burned area product over the Cerrado and Pantanal biomes, Brazil, derived from ALARMES developed by the Laboratory for Environmental Satellite Applications (LASA) based at the Federal University of Rio de Janeiro (UFRJ) from 2012 through 2021. For additional information about these results, please see the ALARMES website. 
description: This version has one band with Burn Date (BD) at Julian Day (1 to 366) for each year. Example: CERRADO_ALARMES_HIST_v2_BD_YYYY.tif
The biomes polygons used were derived from Instituto Brasileiro de Geografia e Estatistica (IBGE, 2019).
DOI: 10.15468/dl.gpp6fg
title: Occurrence Download

description: A dataset containing 31520599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2011"
 ]
}

 The dataset includes 31520599 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054271-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6799247
title: AMAZONIA ALARMES HISTORIC

description: Burned area product over the Amazon biome, Brazil, derived from ALARMES developed by the Laboratory for Environmental Satellite Applications (LASA) based in the Federal University of Rio de Janeiro (UFRJ) from 2012 through 2022. For additional information about these results, please see the ALARMES website. 
description: This version has one band with Burn Date (BD) at Julian Day (1 to 366) for each year. Example: AMAZONIA_ALARMES_HIST_v2_BD_YYYY.tif
DOI: 10.5281/zenodo.8005540
title: AMAZONIA ALARMES HISTORIC

description: Burned area product over the Amazon biome, Brazil, derived from ALARMES developed by the Laboratory for Environmental Satellite Applications (LASA) based in the Federal University of Rio de Janeiro (UFRJ) from 2012 through 2022. For additional information about these results, please see the ALARMES website. 
description: This version has one band with Burn Date (BD) at Julian Day (1 to 366) for each year. Example: AMAZONIA_ALARMES_HIST_v2_BD_YYYY.tif
DOI: 10.18130/v3/62sg5v
title: River View Farm Barn

description: Data collected during Fall semester 2022 by students of ARH 5600 : 3D Cultural Heritage Informatics; data collected with FARO Focus 3D laser scanners; data processed with FARO Scene v. 2022; &lt;p&gt;
Data files can be downloaded at the following locations:
&lt;br&gt;
&lt;strong&gt;Coming soon. Contact Will Rourk will@virginia.edu for more info&lt;/strong&gt;
&lt;!-- &lt;a href="https://3d-data.uvadcos.io/RiverViewFarm/RVF_barn_scene.zip"&gt;
Raw dataset, FARO Scene project format compressed by zip (26.8 GB) 
&lt;/a&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/RiverViewFarm/RVF_barn_PTS.pts"&gt;
Point Cloud Data File - .pts file format (16.6 GB)
&lt;/a&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/RiverViewFarm/RVF_barn_E57.e57"&gt;
Point Cloud Data File - .e57 file format (6.4 GB)
&lt;/a&gt; --&gt;
&lt;/p&gt;
&lt;!-- p&gt;
Information about the files associated with this dataset can be found in the &lt;a href=""&gt;Read Me&lt;/a&gt; file below.
&lt;/p --&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
description: River View Farm is located in the Ivy Creek Natural Area Park in Albemarle County, Virginia; it was the home of Hugh and Texie Mae (Hawkins) Carr and subsequently Mary Louise Carr Greer and Conly Greer; the barn was built by Conly Greer, ca. 1930s; for more information see https://ivycreekfoundation.org/the-barn;
DOI: 10.20394/e0ww-1651
title: Bristol city averaged origin-destination (OD) Matrices 2019-2023
DOI: 10.15468/dl.ug7phc
title: Occurrence Download

description: A dataset containing 41903385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2011-2012"
 ]
}

 The dataset includes 41903385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054270-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29290118
title: Q-PCR 数据

description: ILC1-3 and NK population of 1-5 week old mice
DOI: 10.6084/m9.figshare.29290118.v1
title: Q-PCR 数据

description: ILC1-3 and NK population of 1-5 week old mice
DOI: 10.6084/m9.figshare.29290124
title: 16S 1-5 周龄小鼠的 10 大丰度

description: 16S 1-5 周龄小鼠的 10 大丰度<br>
DOI: 10.6084/m9.figshare.29290124.v1
title: 16S 1-5 周龄小鼠的 10 大丰度

description: 16S 1-5 周龄小鼠的 10 大丰度<br>
DOI: 10.15468/dl.za6mk3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes Bory, 1822",
 "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 ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054291-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6md9py
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Brachycope anomala (Reichenow, 1887)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 127 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054292-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8a7vv
title: Occurrence Download

description: A dataset containing 39364934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2007-2010"
 ]
}

 The dataset includes 39364934 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054274-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prdmzj
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes Bory, 1822",
 "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 ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054294-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8b2ev
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GUM",
 "TaxonKey is Ptilinopus roseicapilla (R.Lesson, 1831)"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054295-250525065834625/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/12207558
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.mtbmah
title: Occurrence Download

description: A dataset containing 912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Brachypteracias leptosomus (R.Lesson, 1833)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 912 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054296-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15690798
title: Evaluating computational approaches for comparison of protein expression across cancer indications

description: ######################################################################################################### CPTAC PAN cancer imputed and normalized data ######################################################################################################### R Code snippetiBAQ = readRDS("/your path/iBAQ.rds")table(iBAQ$normalized)# CN                No QN         QN             riBAQ           Smooth QN # 17435640  17435640   17435640   17435640     17435640 library(dplyr)full.qn <- iBAQ %>% filter(normalized=="QN")OV <- full.qn %>% filter(Indication=="OV")%>% filter(Tissue=="Tumor")OV_4genes <- OV[OV$Gene%in% c("CDH6", "FOLR1", "ERBB2", "TACSTD2"),]
DOI: 10.15468/dl.23un56
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes Bory, 1822",
 "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 ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054297-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x45kuv
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ailurus fulgens F.G.Cuvier, 1825"
 ]
}

 The dataset includes 121 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054298-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhbgub
title: Occurrence Download

description: A dataset listing the 79 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.2739 -27.31975,28.3653 -27.31975,28.3653 -27.24001,28.2739 -27.24001,28.2739 -27.31975))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 79 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054284-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9p8ewu
title: Occurrence Download

description: A dataset containing 446114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus hordeaceus L."
 ]
}

 The dataset includes 446114 records from 2696 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054286-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.