cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.99b6n9
title: Occurrence Download

description: A dataset containing 758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dallocardia muricata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 758 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056954-250827131500795/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/13042416
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.8hce4h
title: Occurrence Download

description: A dataset containing 178155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamium maculatum"
 ]
}

 The dataset includes 178155 records from 1165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056866-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g04k8i
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitrella psilla (Duclos, 1846)"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025273-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23qxmr
title: Occurrence Download

description: A dataset listing the 8638 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Serbia",
 "Country is Kosovo"
 ]
 },
 {
 "or" : [
 "GadmGid is SRB",
 "GadmGid is XKO"
 ]
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 8638 records were derived from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188783-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpyu3j
title: Occurrence Download

description: A dataset containing 77536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC0 1.0",
 "MediaType is Image",
 "Year 2002-2022"
 ]
}

 The dataset includes 77536 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104873-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7let3r
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Istiompax indica (Cuvier, 1832)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 848 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030222-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pghvyz
title: Occurrence Download

description: A dataset containing 7383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 7383 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104866-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqva2y
title: Occurrence Download

description: A dataset containing 2459 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-169.10156 70.14036,-168.39844 67.06743,-169.10156 59.17593,-173.32031 54.16243,-123.39844 17.97873,-77.69531 -28.92163,-87.77481 -60.35224,-36.68894 -56.97397,-37.61778 -39.24118,-30.1871 -17.37524,-37.61778 18.25951,-49.69262 45.41349,-36.91406 51.61802,-33.05072 65.16474,-9.87229 71.19014,-2.46094 83.59903,-66.44531 84.40594,-127.61719 81.09321,-149.41406 75.84517,-169.10156 70.14036))",
 "HasGeospatialIssue is false",
 "TaxonKey is Pilosocereus Byles & G.D.Rowley",
 "Year 1980-2021"
 ]
}

 The dataset includes 2459 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193399-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzkxfe
title: Occurrence Download

description: A dataset containing 3270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium parviflorum var. pubescens (Willd.) O.W.Knight"
 ]
}

 The dataset includes 3270 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000097-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mzy4m
title: Occurrence Download

description: A dataset containing 54530 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lavandula latifolia Medik."
 ]
}

 The dataset includes 54530 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139965-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzg89t
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Ophelimus maskelli (Ashmead, 1900)"
 ]
}

 The dataset includes 323 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0419083-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvtd94
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phagnalon niveum Edgew."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327502-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.befxqb
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tupaia glis (Diard, 1820)"
 ]
}

 The dataset includes 152 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192710-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm6cys
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea beccariana Burck"
 ]
}

 The dataset includes 199 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0425923-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbjj5s
title: Occurrence Download

description: A dataset containing 41017 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 41017 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040678-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qeezx
title: Occurrence Download

description: A dataset listing the 1023 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Curaçao",
 "HasCoordinate is true",
 "Year is less than 1995",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1023 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139975-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh4z43
title: Occurrence Download

description: A dataset containing 10354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia grandiflora L."
 ]
}

 The dataset includes 10354 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0426545-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j447h5
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Gavia adamsii (G.R.Gray, 1859)",
 "StateProvince is England",
 "Year 2000-2020"
 ]
}

 The dataset includes 119 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041075-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcuuze
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Coleataenia prionitis (Nees) Soreng",
 "Year 1904-2022"
 ]
}

 The dataset includes 127 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188056-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9jbg3
title: Occurrence Download

description: A dataset containing 2286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordia sebestena L."
 ]
}

 The dataset includes 2286 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021685-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfut7k
title: Occurrence Download

description: A dataset containing 7840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Gavia immer (Brunnich, 1764)",
 "StateProvince is England",
 "Year 2000-2020"
 ]
}

 The dataset includes 7840 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041078-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4sfv8
title: Occurrence Download

description: A dataset containing 263450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schoenoplectus lacustris (L.) Palla, Hydrocharis morsus-ranae L., Myriophyllum spicatum L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 263450 records from 692 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147798-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8301366
title: LGHAP v2:  Global daily 1-km gap-free AOD grids (2019)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.5281/zenodo.8301367
title: LGHAP v2:  Global daily 1-km gap-free AOD grids (2019)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.15468/dl.7fb5me
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nylanderia parvula",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027880-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc3hws7
title: CCDC 104649: Experimental Crystal Structure Determination

description: Related Article: M.Krieger, K.Harms, J.Magull, K.Dehnicke|1997|Z.Naturforsch.,B:Chem.Sci.|52|243|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.26077138.v1
title: A dataset of prokaryotic biodiversity in the surface layer of the China Seas

description: This is a project related to the data and analysis of a dataset on surface prokaryotic microorganisms in the Chinese seas.Table 1 is the source information of the samples, including longitude and latitude, particle size, sampling time, primers, etc.Table 2 is the sample OTUs table.Table 3 is the species classification table at the class level.Table 4 is the voyage information regarding the sample collection of our research team.
DOI: 10.5517/cc4ktn4
title: CCDC 136296: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, T.Bollwein, K.Polborn|2000|Z.Naturforsch.,B:Chem.Sci.|55|51|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7c3qd
title: CCDC 219223: Experimental Crystal Structure Determination

description: Related Article: Li-Zhen Cai, Hui-Yi Zeng, Li-Jun Song, Zhen-Chao Dong, Zi-Xiang Huang, Guo-Cong Guo, Jin-Shun Huang|2003|Jiegou Huaxue|22|419|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8308227
title: LGHAP v2:  Global daily 1-km gap-free PM2.5 grids (2007)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.5281/zenodo.8308226
title: LGHAP v2:  Global daily 1-km gap-free PM2.5 grids (2007)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.15468/dl.mzvaz2
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alepisaurus ferox Lowe, 1833",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027881-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8287995
title: LGHAP v2:  Global daily 1-km gap-free AOD grids (2009)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.
DOI: 10.5281/zenodo.8307598
title: LGHAP v2:  Global daily 1-km gap-free PM2.5 grids (2002)

description: A Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. In the current release of LGHAP dataset (LGHAP v2), we provide 22-year-long gap free aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering the global land area from 2000 to 2021. Leveraging an improved big earth data analytic framework with attention-reinforced tensor construction and adaptive background information updating schemes, gap-free AOD grids were firstly derived via an integration of multimodal AODs and air quality measurements acquired from diverse satellites, ground monitors, and numerical models. For better predicting PM2.5 concentration across the globe, a scene-aware ensemble learning graph attention network (SCAGAT) was then developed to account for large modeling bias over regions with limited or even none in situ air quality measurements. These datasets were archived in the NetCDF (nc) format, while data in every year were archived as an individual submission. Python, MATLAB, R, and IDL codes were also provided to help users read and visualize the LGHAP v2 data.