cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cdgu2k
title: Occurrence Download

description: A dataset containing 126910 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspergillus"
 ]
}

 The dataset includes 126910 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011894-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e25kej
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stemonurus secundiflorus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 69 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011907-260120142942310/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.21427230
title: 我们建立了海南岛热带雨林数据库

description: <br>中国海南岛是一个特殊的经济和试点自由贸易区，位于印马雨林北缘（18°09'–20°11'N，108°36'–111°04'东经）。海南岛由18个市县组成。海南岛面积为34,000平方公里，森林覆盖率为57.36%。它是中国最大的连续热带雨林。利用ArcGIS 10.8软件，数据库建立如下：（1）基于2003年至2018年海南岛553个气象站的每日观测数据，通过空间插值构建了一个气候数据库（分辨率1公里），包含年平均最高气温、年平均最低气温和年平均降雨量。通过提供动态气候数据的原型，网站可以在本地系统中维护本地气候数据，而另一个集中式网站则通过公共数据库持续更新数据，并提供访问所有网站数据的权限。（2） 使用了中国土壤科学数据库（2021年1月1日前的参考）。本研究采用空间插值生成土壤类型：pH-H2O、pH-KCl、总氮、钾和磷含量，以及其他土壤数据库（分辨率为2公里）。（3）基于SRTM数据和海南行政边界，生成了一个DEM地形数据库（分辨率90米）。（4）将海南岛2003、2008、2013和2018年的人口统计数据与土地利用类型、夜灯亮度和住宅密度结合，根据多因子权重分布法将人口数据分布到306万网格，并通过空间插值生成了人口动态演变的人为干扰数据库（分辨率为1公里）。通过加总每个网格区域的人口，可以估算特定区域的人口。（5）基于中国2003、2008、2013和2018年海南国家森林连续清查数据，以及海南岛Landsat 7和Landsat 8遥感图像解读数据，生成了一个包含林地、灌木、经济林、竹林及其他林地的1公里分辨率林地分布数据库。（6）基于中国2003、2008、2013和2018年海南国家有林连续清查数据，筛出133个永久样本地块，其中133个永久样本样本地包含16,280棵样本树木。采用标准树木全挖掘法收集了70种主要热带雨林树种（共280种树木）的森林生物量数据。使用<i>W</i>=<i>a×</i>（<i>D2H</i>）<i>b</i>数据库;其中<i>W</i>表示热带雨林生物量，<i>D</i>为DBH，H <i>H</i> 为树高，<i>a</i>、<i>b</i>是参数。根据该模型，我们在2003年、2008年、2013年和2018年测量了133个永久地块的森林生物量。因此，建立了海南岛的森林生物量样本数据库。（7）基于中国海南国家森林连续清查数据（2018年）、海南自然森林资源保护项目的范围、Landsat历史遥感图像的人工视觉解读数据，以及通过空间插值生成的森林年龄数据库（分辨率1公里）。
DOI: 10.6084/m9.figshare.21427230.v2
title: 我们建立了海南岛热带雨林数据库

description: <br>中国海南岛是一个特殊的经济和试点自由贸易区，位于印马雨林北缘（18°09'–20°11'N，108°36'–111°04'东经）。海南岛由18个市县组成。海南岛面积为34,000平方公里，森林覆盖率为57.36%。它是中国最大的连续热带雨林。利用ArcGIS 10.8软件，数据库建立如下：（1）基于2003年至2018年海南岛553个气象站的每日观测数据，通过空间插值构建了一个气候数据库（分辨率1公里），包含年平均最高气温、年平均最低气温和年平均降雨量。通过提供动态气候数据的原型，网站可以在本地系统中维护本地气候数据，而另一个集中式网站则通过公共数据库持续更新数据，并提供访问所有网站数据的权限。（2） 使用了中国土壤科学数据库（2021年1月1日前的参考）。本研究采用空间插值生成土壤类型：pH-H2O、pH-KCl、总氮、钾和磷含量，以及其他土壤数据库（分辨率为2公里）。（3）基于SRTM数据和海南行政边界，生成了一个DEM地形数据库（分辨率90米）。（4）将海南岛2003、2008、2013和2018年的人口统计数据与土地利用类型、夜灯亮度和住宅密度结合，根据多因子权重分布法将人口数据分布到306万网格，并通过空间插值生成了人口动态演变的人为干扰数据库（分辨率为1公里）。通过加总每个网格区域的人口，可以估算特定区域的人口。（5）基于中国2003、2008、2013和2018年海南国家森林连续清查数据，以及海南岛Landsat 7和Landsat 8遥感图像解读数据，生成了一个包含林地、灌木、经济林、竹林及其他林地的1公里分辨率林地分布数据库。（6）基于中国2003、2008、2013和2018年海南国家有林连续清查数据，筛出133个永久样本地块，其中133个永久样本样本地包含16,280棵样本树木。采用标准树木全挖掘法收集了70种主要热带雨林树种（共280种树木）的森林生物量数据。使用<i>W</i>=<i>a×</i>（<i>D2H</i>）<i>b</i>数据库;其中<i>W</i>表示热带雨林生物量，<i>D</i>为DBH，H <i>H</i> 为树高，<i>a</i>、<i>b</i>是参数。根据该模型，我们在2003年、2008年、2013年和2018年测量了133个永久地块的森林生物量。因此，建立了海南岛的森林生物量样本数据库。（7）基于中国海南国家森林连续清查数据（2018年）、海南自然森林资源保护项目的范围、Landsat历史遥感图像的人工视觉解读数据，以及通过空间插值生成的森林年龄数据库（分辨率1公里）。
DOI: 10.21979/n9/aczijn
title: Replication Data for: Dams in the Mekong: A comprehensive database, spatiotemporal distribution, and hydropower potentials

description: This dataset is a comprehensive open-access database of 1,055 georeferenced dams in the Mekong basin, with detailed dam attributes such as dam status, dam height, reservoir volume, and dam capacity. The dams are compiled from 18 databases (six global, five regional, and seven national), validated using satellite imagery in Google Earth, and supplemented with information from public literature (reports, research papers, news articles, and websites). Additional attributes including dam elevation and dam catchment area are added through GIS analysis. The dataset also contains five files for spatiotemporal analysis, with each file corresponding to the dams in each decade from the 1980s to post-2020s. Post-2020s includes dams that began operation in 2020 or later, dams under construction, and planned dams with available information. All files are in comma-separated values (CSV) format.
DOI: 10.15468/dl.8pvmcv
title: Occurrence Download

description: A dataset containing 1416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Sweden",
 "GadmGid is SWE",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anemonoides nemorosa"
 ]
}

 The dataset includes 1416 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011908-260120142942310/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.31148617
title: <b>Prevalence of hypervirulent </b><b><i>Staphylococcus aureus</i></b><b> </b><b>CC22-t309 in Pediatric Osteomyelitis and Septic Arthritis in China</b>

description: Staphylococcus aureus is the primary pathogen of pediatric osteomyelitis and septic arthritis, yet the genetic mechanism of its tropism for bone and joint tissues remains unclear. Here, we performed a systematical study integrating the clinical metadata, whole-genome sequencing, and antimicrobial susceptibility testing on 152 S. aureus collected in Shanghai, China, 2013-2025. A total of 55 isolates from pediatric osteomyelitis and/or septic arthritis (OM-SA) were collected, along with 97 isolates from other infections as controls. Pediatric OM-SA patients exhibited significantly elevated inflammatory factors, including white blood cell (WBC), C-reactive protein (CRP), procalcitonin (PCT), neutrophil percentage (N%), and erythrocyte sedimentation rate (ESR). Among OM-SA-associated isolates, CC22-t309 (23.6%), CC59-t437 (20.0%), and CC398-t034 (9.0%) were identified as the dominant clonal complexes. CC22-t309-related infections were closely linked to heightened systemic inflammation, particularly with higher CRP and ESR levels. Among OM-SA-related strains, CC22-t309 more frequently harbored a set of virulence factors, including Panton–Valentine leukocidin (pvl, 100%), collagen adhesin (cna, 84.6%), and fibronectin-binding protein A or B (fnbA/B, 100%), with carriage rates notably higher than those of other subtypes (pvl: 0%~63.6%; can: 0%~19.2%; fnbA/B: 0%~26.9%; p &lt; 0.001). Notably, the co-carriage rate of pvl, cna and fnbA/B in CC22-t309 from OM-SA patients was up to 84.6%, which was significantly higher than that in CC22-t309 from other infections (12.5%, p &lt; 0.001). Moreover, CC22-t309 isolates exhibited multidrug resistance to β-lactams, macrolides, and lincosamides. In conclusion, we defined CC22-t309 as a high-risk S. aureus lineage associated with pediatric osteomyelitis and septic arthritis, characterized by both hypervirulence and multidrug resistance.
DOI: 10.6084/m9.figshare.31148617.v1
title: <b>Prevalence of hypervirulent </b><b><i>Staphylococcus aureus</i></b><b> </b><b>CC22-t309 in Pediatric Osteomyelitis and Septic Arthritis in China</b>

description: Staphylococcus aureus is the primary pathogen of pediatric osteomyelitis and septic arthritis, yet the genetic mechanism of its tropism for bone and joint tissues remains unclear. Here, we performed a systematical study integrating the clinical metadata, whole-genome sequencing, and antimicrobial susceptibility testing on 152 S. aureus collected in Shanghai, China, 2013-2025. A total of 55 isolates from pediatric osteomyelitis and/or septic arthritis (OM-SA) were collected, along with 97 isolates from other infections as controls. Pediatric OM-SA patients exhibited significantly elevated inflammatory factors, including white blood cell (WBC), C-reactive protein (CRP), procalcitonin (PCT), neutrophil percentage (N%), and erythrocyte sedimentation rate (ESR). Among OM-SA-associated isolates, CC22-t309 (23.6%), CC59-t437 (20.0%), and CC398-t034 (9.0%) were identified as the dominant clonal complexes. CC22-t309-related infections were closely linked to heightened systemic inflammation, particularly with higher CRP and ESR levels. Among OM-SA-related strains, CC22-t309 more frequently harbored a set of virulence factors, including Panton–Valentine leukocidin (pvl, 100%), collagen adhesin (cna, 84.6%), and fibronectin-binding protein A or B (fnbA/B, 100%), with carriage rates notably higher than those of other subtypes (pvl: 0%~63.6%; can: 0%~19.2%; fnbA/B: 0%~26.9%; p &lt; 0.001). Notably, the co-carriage rate of pvl, cna and fnbA/B in CC22-t309 from OM-SA patients was up to 84.6%, which was significantly higher than that in CC22-t309 from other infections (12.5%, p &lt; 0.001). Moreover, CC22-t309 isolates exhibited multidrug resistance to β-lactams, macrolides, and lincosamides. In conclusion, we defined CC22-t309 as a high-risk S. aureus lineage associated with pediatric osteomyelitis and septic arthritis, characterized by both hypervirulence and multidrug resistance.
DOI: 10.15468/dl.se97za
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Racomitrium canescens canescens",
 "Year 1970-2026"
 ]
}

 The dataset includes 226 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011910-260120142942310/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.31146682
title: Genotypic and trait data used in Choudhary et al. 2028 PLOS ONE manuscript

description: The data set is SSR marker genotypic data generated on a diverse set of 96 common bean lines. In addition, trait data is data on Anthracnose resistance generated on the same set. The manuscript can be read at Gene/QTL discovery for Anthracnose in common bean (Phaseolus vulgaris L.) from North-western Himalayas | PLOS One
DOI: 10.6084/m9.figshare.31146682.v1
title: Genotypic and trait data used in Choudhary et al. 2028 PLOS ONE manuscript

description: The data set is SSR marker genotypic data generated on a diverse set of 96 common bean lines. In addition, trait data is data on Anthracnose resistance generated on the same set. The manuscript can be read at Gene/QTL discovery for Anthracnose in common bean (Phaseolus vulgaris L.) from North-western Himalayas | PLOS One
DOI: 10.34740/kaggle/dsv/14622812
title: OBELiX
DOI: 10.15468/dl.4uvsba
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Coffea canephora"
 ]
}

 The dataset includes 68 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011913-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/sfygsb
title: Related Data for: Using wavelet coherence to aid the retrieval of volcanic SO2 from UV spectra

description: UV spectar recorded at the Earth Observatory of Singapore used in Barrington et al. 2023 Using wavelet coherence to aid the retrieval of volcanic SO2 from UV spectra
DOI: 10.15468/dl.bgrh8g
title: Occurrence Download

description: A dataset containing 3370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shortia"
 ]
}

 The dataset includes 3370 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011914-260120142942310/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.28946247
title: Bayesian Inference on Brain-Computer Interfaces via GLASS

description: Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies in classifying target and non-target stimuli based on electroencephalogram (EEG) signals. However, the low signal-to-noise ratio (SNR) and complex spatial/temporal correlations of EEG signals present challenges in modeling and computation, especially for individuals with severe physical disabilities—BCI’s primary users. To address these challenges, we introduce a novel <b>G</b>aussian <b>La</b>tent channel model with <b>S</b>par<b>s</b>e time-varying effects (GLASS) under a Bayesian framework. GLASS is built upon a constrained multinomial logistic regression particularly designed for the imbalanced target and non-target stimuli. The novel latent channel decomposition efficiently alleviates strong spatial correlations between EEG channels, while the soft-thresholded Gaussian process (STGP) prior ensures sparse and smooth time-varying effects. We demonstrate GLASS substantially improves BCI’s performance in participants with amyotrophic lateral sclerosis (ALS) and identifies important EEG channels (PO8, Oz, PO7, and Pz) in parietal and occipital regions that align with existing literature. For broader accessibility, we develop an efficient gradient-based variational inference (GBVI) algorithm for posterior computation and provide a user-friendly Python module available at https://github.com/BangyaoZhao/GLASS.
DOI: 10.6084/m9.figshare.28946247.v1
title: Bayesian Inference on Brain-Computer Interfaces via GLASS

description: Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies in classifying target and non-target stimuli based on electroencephalogram (EEG) signals. However, the low signal-to-noise ratio (SNR) and complex spatial/temporal correlations of EEG signals present challenges in modeling and computation, especially for individuals with severe physical disabilities—BCI’s primary users. To address these challenges, we introduce a novel <b>G</b>aussian <b>La</b>tent channel model with <b>S</b>par<b>s</b>e time-varying effects (GLASS) under a Bayesian framework. GLASS is built upon a constrained multinomial logistic regression particularly designed for the imbalanced target and non-target stimuli. The novel latent channel decomposition efficiently alleviates strong spatial correlations between EEG channels, while the soft-thresholded Gaussian process (STGP) prior ensures sparse and smooth time-varying effects. We demonstrate GLASS substantially improves BCI’s performance in participants with amyotrophic lateral sclerosis (ALS) and identifies important EEG channels (PO8, Oz, PO7, and Pz) in parietal and occipital regions that align with existing literature. For broader accessibility, we develop an efficient gradient-based variational inference (GBVI) algorithm for posterior computation and provide a user-friendly Python module available at https://github.com/BangyaoZhao/GLASS.
DOI: 10.6084/m9.figshare.29039264
title: Inference in generalized linear models with robustness to misspecified variances

description: Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer appreciable loss of type I error control. As an alternative, we present a semi-parametric group-invariance method based on sign flipping of score contributions. Our method requires only the correct specification of the mean model, but is robust against any misspecification of the variance. We present tests for single as well as multiple regression coefficients. The test is asymptotically valid but shows excellent performance in small samples. We illustrate the method using RNA sequencing count data, for which it is difficult to model the overdispersion correctly. The method is available in the R library flipscores.
DOI: 10.6084/m9.figshare.29039264.v3
title: Inference in generalized linear models with robustness to misspecified variances

description: Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer appreciable loss of type I error control. As an alternative, we present a semi-parametric group-invariance method based on sign flipping of score contributions. Our method requires only the correct specification of the mean model, but is robust against any misspecification of the variance. We present tests for single as well as multiple regression coefficients. The test is asymptotically valid but shows excellent performance in small samples. We illustrate the method using RNA sequencing count data, for which it is difficult to model the overdispersion correctly. The method is available in the R library flipscores.
DOI: 10.6084/m9.figshare.29039264.v2
title: Inference in Generalized Linear Models with Robustness to Misspecified Variances

description: Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer appreciable loss of Type I error control. As an alternative, we present a semi-parametric group-invariance method based on sign flipping of score contributions. Our method requires only the correct specification of the mean model, but is robust against any misspecification of the variance. We present tests for single as well as multiple regression coefficients. The test is asymptotically valid but shows excellent performance in small samples. We illustrate the method using RNA sequencing count data, for which it is difficult to model the overdispersion correctly. The method is available in the R library flipscores. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.2fp467
title: Occurrence Download

description: A dataset containing 188023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea"
 ]
}

 The dataset includes 188023 records from 701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011890-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f3rfh
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron lutescens Franch."
 ]
}

 The dataset includes 1009 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001862-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vux7z
title: Occurrence Download

description: A dataset containing 2616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eptesicus furinalis (d'Orbigny, 1847)"
 ]
}

 The dataset includes 2616 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016433-250525065834625/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/12044434
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.mwgfwy
title: Occurrence Download

description: A dataset listing the 755 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.52247 -14.89258,25.43466 -14.94286,27.01484 -11.88306,26.00927 -11.81842,24.29262 -14.8854,24.52247 -14.89258))",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 755 records were derived from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017259-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4knkvu
title: Occurrence Download

description: A dataset containing 7578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.2_1",
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 7578 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017264-250525065834625/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.29069525.v2
title: Automated_interaction_rates

description: Data and code to reproduce the analysis in Sadde and Martin (2025): Automated quantification of ecological interactions from video. See README file for description of each file.
DOI: 10.15468/dl.at8kk2
title: Occurrence Download

description: A dataset containing 16675 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données collectées dans le cadre d'études et d'activités de recherche-Données faune de Luc BARBARO"
 ]
}

 The dataset includes 16675 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017267-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2zdsy
title: Occurrence Download

description: A dataset containing 2882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potentilla nitida L."
 ]
}

 The dataset includes 2882 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017269-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zaz6uz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.6.4.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Hoplobatrachus chinensis (Osbeck, 1765)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017268-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hgwxq
title: Occurrence Download

description: A dataset containing 703662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corvus corax Linnaeus, 1758, Corvus cornix Linnaeus, 1758, Corvus corone Linnaeus, 1758, Coloeus dauuricus (Pallas, 1776), Corvus frugilegus Linnaeus, 1758, Corvus macrorhynchos Wagler, 1827, Coloeus monedula (Linnaeus, 1758), Corvus pectoralis Gould, 1836, Corvus splendens Vieillot, 1817, Cyanopica cyanus (Pallas, 1776), Dendrocitta formosae Swinhoe, 1863, Dendrocitta frontalis Horsfield, 1840, Dendrocitta vagabunda (Latham, 1790), Garrulus glandarius (Linnaeus, 1758), Nucifraga caryocatactes (Linnaeus, 1758), Perisoreus infaustus (Linnaeus, 1758), Perisoreus internigrans (Thayer & Bangs, 1912), Pica bottanensis Delessert, 1840, Pica pica (Linnaeus, 1758), Pica serica Gould, 1845)",
 "Geometry POLYGON((73.5208333 16.6625,135.0791667 16.6625,135.0791667 53.5541667,73.5208333 53.5541667,73.5208333 16.6625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)"
 ]
}

 The dataset includes 703662 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017258-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.