cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/0l4-n5b-1n8
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.rfkqv6
title: Occurrence Download

description: A dataset containing 2874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is one of (Observation.org, Nature data from around the World, Pl@ntNet automatically identified occurrences)",
 "OccurrenceStatus is Present",
 "StateProvince is GElderland",
 "TaxonKey is Caltha palustris L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 2874 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008192-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv5g27
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Forsythia suspensa (Thunb.) Vahl"
 ]
}

 The dataset includes 687 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008193-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60541/snt6-m904
title: Buprenorphine Prescribing Requirements and Limitations

description: Medications for opioid use disorder (MOUD), particularly agonist medications like buprenorphine and methadone, are one of the most effective tools for reducing opioid overdose deaths. Research shows that agonist medications can reduce mortality by up to 50% for people with opioid use disorder (OUD). Unlike methadone, which must be dispensed through a federally certified opioid treatment program, buprenorphine may be prescribed directly by practitioners in office-based settings.  

While the federal X-Waiver requirement for buprenorphine prescribing was eliminated in late 2022, state laws on buprenorphine prescribing for OUD remain, with some state regulatory schemes maintaining restrictive barriers to buprenorphine treatment access. These barriers include constraints on dosage, product formulation, and prescription length; and imposing high-threshold practices such as mandatory counseling and frequent drug testing. Conversely, state laws can be protective, such as by requiring the provision of the opioid overdose reversal drug naloxone and prohibiting punitive responses when patients decline counseling or other ancillary services.  

This dataset is longitudinal and displays key features of state-level statutes and regulations regarding buprenorphine prescribing for OUD outside of federally certified opioid treatment programs. The dataset includes laws across all 50 states and the District of Columbia in effect as of March 1, 2023, through September 1, 2024. The dataset does not include laws or policies that regulate buprenorphine prescribing exclusively within state Medicaid programs. The research protocol includes additional information on the scope of state laws captured by this dataset.
DOI: 10.15468/dl.3ww94x
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "TaxonKey is Neogobius melanostomus (Pallas, 1814)",
 "Year 2024-2025"
 ]
}

 The dataset includes 119 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008194-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etney2
title: Occurrence Download

description: A dataset containing 24554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "HasCoordinate is true",
 "Year 2024-2025"
 ]
}

 The dataset includes 24554 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008195-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/08lzvc
title: PS_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file PS_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/0mtndo
title: PP_GM_v6.3.1.vcf.gz.tbi

description: index of file PP_GM_v6.3.1.vcf.gz
DOI: 10.57745/1twoi8
title: FS_GM_v5.3.1.vcf.gz.tbi

description: index of file FS_GM_v5.3.1.vcf.gz
DOI: 10.57745/26ye1p
title: PA_GM_v6.3.1.vcf.gz.tbi

description: index of file PA_GM_v6.3.1.vcf.gz
DOI: 10.57745/2apymg
title: QP_GM_v6.3.1.vcf.gz.tbi

description: index of file QP_GM_v6.3.1.vcf.gz
DOI: 10.57745/2uuo2o
title: QP_GM_v6.3.2.NoSingletons.ped.gz

description: Quercus Petraea SNPs after removing singletons from v6.3.1
DOI: 10.57745/3nxfur
title: QP_GM_v5.3.vcf.gz

description: Quercus petraea SNPs after filtering, v5.3
DOI: 10.57745/4slbky
title: PA_GM_v5.3.2.vcf.gz.tbi

description: index of file PA_GM_v5.3.2.vcf.gz
DOI: 10.57745/7csqo2
title: FS_GM_v6.3.1.vcf.gz.tbi

description: index of file FS_GM_v6.3.1.vcf.gz
DOI: 10.57745/8w1jl9
title: PP_GM_v5.3.1.vcf.gz.tbi

description: index of file PP_GM_v5.3.1.vcf.gz
DOI: 10.57745/9mnabo
title: PA_GM_v5.3.2.vcf.gz

description: Picea abies SNPs after filtering, v5.3.2
DOI: 10.57745/ac1rdi
title: QP_GM_v5.3.vcf.gz.tbi

description: index of file QP_GM_v5.3.vcf.gz
DOI: 10.57745/agiid1
title: FS_GM_v6.3.2.NoSingletons.ped.gz

description: Fagus sylvatica SNPs after removing singletons from v6.3.1
DOI: 10.57745/blosbs
title: PP_GM_v5.3.1.vcf.gz

description: Pinus pinaster SNPs after filtering, v5.3.1
DOI: 10.57745/cduz3p
title: PO_GM_v6.3.2.NoSingletons.ped.gz

description: Pinus nigra SNPs after removing singletons from v6.3.1
DOI: 10.57745/dgmqaf
title: PS_GM_v6.3.1.vcf.gz

description: Pinus sylvestris SNPs after filtering, v6.3.1
DOI: 10.57745/dmqe1o
title: PS_GM_v5.3.1.vcf.gz.tbi

description: index of file PS_GM_v5.3.1.vcf.gz
DOI: 10.57745/ep8xsx
title: BP_GM_v6.3.2.NoSingletons.ped.gz

description: Betula pendula SNPs after removing singletons from v6.3.1
DOI: 10.57745/et9iuf
title: QP_GM_v5.3.1.vcf.gz.tbi

description: index of file QP_GM_v5.3.1.vcf.gz
DOI: 10.57745/eualyg
title: FS_GM_v6.3.1.vcf.gz

description: Fagus sylvatica SNPs after filtering, v6.3.1
DOI: 10.57745/evkwsp
title: PA_GM_v6.3.2.NoSingletons.ped.gz

description: Picea abies SNPs after removing singletons from v6.3.1
DOI: 10.57745/fmpyog
title: FS_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file FS_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/gv888s
title: PS_GM_v6.3.2.NoSingletons.ped.gz

description: Pinus sylvestris SNPs after removing singletons from v6.3.1
DOI: 10.57745/h9sbyj
title: PO_GM_v5.3.1.vcf.gz.tbi

description: index of file PO_GM_v5.3.1.vcf.gz
DOI: 10.57745/hfajdu
title: FS_GM_v5.3.1.vcf.gz

description: Fagus sylvatica SNPs after filtering, v5.3.1
DOI: 10.57745/hkkfy3
title: FS_GM_v5.3.vcf.gz.tbi

description: index of file FS_GM_v5.3.vcf.gz
DOI: 10.57745/hvhu7w
title: BP_GM_v5.3.1.vcf.gz

description: Betula pendula SNPs after filtering, v5.3.1
DOI: 10.57745/hwaqrn
title: PP_GM_v6.3.2.NoSingletons.ped.gz

description: Pinus pinaster SNPs after removing singletons from v6.3.1
DOI: 10.57745/jnnxfg
title: BP_GM_v5.3.1.vcf.gz.tbi

description: index of file BP_GM_v5.3.1.vcf.gz
DOI: 10.57745/juptav
title: FS_GM_v5.3.vcf.gz

description: Fagus sylvatica SNPs after filtering, v5.3
DOI: 10.57745/lxwbnu
title: QP_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file QP_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/meubop
title: BP_GM_v6.3.1.vcf.gz

description: Betula pendula SNPs after filtering, v6.3.1
DOI: 10.57745/mmmrpf
title: BP_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file BP_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/n2kwrg
title: PO_GM_v6.3.1.vcf.gz.tbi

description: index of file PO_GM_v6.3.1.vcf.gz
DOI: 10.57745/oedoxv
title: BP_GM_v6.3.1.vcf.gz.tbi

description: index of file BP_GM_v6.3.1.vcf.gz
DOI: 10.57745/q1thfq
title: PA_GM_v5.3.1.vcf.gz.tbi

description: index of file PA_GM_v5.3.1.vcf.gz
DOI: 10.57745/sj1dw4
title: GenTree consortium.pdf

description: A file describing the author and contributor "GenTree Consortium"
DOI: 10.57745/tcurk1
title: PO_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file PO_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/u86jvk
title: PS_GM_v5.3.1.vcf.gz

description: Pinus sylvestris SNPs after filtering, v5.3.1
DOI: 10.57745/upecvr
title: PS_GM_v6.3.1.vcf.gz.tbi

description: index of file PS_GM_v6.3.1.vcf.gz
DOI: 10.57745/uqnm2s
title: PO_GM_v5.3.1.vcf.gz

description: Populus nigra SNPs after filtering, v5.3.1
DOI: 10.57745/v1ybg7
title: PA_GM_v5.3.1.vcf.gz

description: Picea abies SNPs after filtering, v5.3.1
DOI: 10.57745/vvk5ve
title: QP_GM_v6.3.1.vcf.gz

description: Quercus petraea SNPs after filtering, v6.3.1
DOI: 10.57745/wapnef
title: PP_GM_v6.3.1.vcf.gz

description: Pinus pinaster SNPs after filtering, v6.3.1
DOI: 10.57745/yfvrwj
title: PP_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file PP_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/yhhaha
title: PA_GM_v6.3.1.vcf.gz

description: Picea abies SNPs after filtering, v6.3.1
DOI: 10.57745/yjuhsv
title: PA_GM_v6.3.2.NoSingletons.map.gz

description: Locus information for the file PA_GM_v6.3.2.NoSingletons.ped.gz
DOI: 10.57745/ywrjph
title: QP_GM_v5.3.1.vcf.gz

description: Quercus petraea SNPs after filtering, v5.3.1
DOI: 10.57745/zrk4fy
title: PO_GM_v6.3.1.vcf.gz

description: Populus nigra SNPs after filtering, v6.3.1
DOI: 10.15468/dl.h3srqh
title: Occurrence Download

description: A dataset containing 8732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamium maculatum (L.) L."
 ]
}

 The dataset includes 8732 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008196-250325103851331/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.28685243
title: Cicero's Letters to Quintus and Brutus - Dataset

description: The dataset refers to: Cicero's letters to and from Quintus Cicero's letters to and from BrutusIt consists of a sheet organized in columns that indicate the collection name, book number, letter number, and year of composition. The dataset can be sorted by various criteria and is structured to facilitate different forms of analysis and exploration of the letters. It is available in both CSV (.csv) and Excel (.xlsx) formats and can be used to study the correspondence of Marcus Tullius Cicero.
DOI: 10.15468/dl.sd22ww
title: Occurrence Download

description: A dataset containing 1019259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.55302 36.84444,-2.16046 36.87283,-2.05402 37.19852,-2.28463 37.49468,-3.74815 37.3679,-3.68607 37.07832,-3.55302 36.84444))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1019259 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008191-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/wrbw-2h14
title: Impact of binary mixtures of buthylparaben and  β-estradiol on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test) - with controls

description: 

Data shown in data set illustrate the results of the endocrine processes of mixtures of methylparaben and  β-estradiol  with controls for YES agonsit, YES antagonist, YAS agonist and YAS antagonist.  S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  First substance namely buthylparaben is used as a preservative have bacteriostatic and fungicide properties and the second substance e.i β-estradiol is responsible for the development of the female reproductive organs, proliferation of the endometrium, regulates the sexual cycle and influences sexual behavior. The XenoScreen YES/YAS reagents and methodology is given in Kudłak et al. (2019) and in details in electronic supplementary material.
Studies were conducted between 2016 and 2017.These results are part of the manuscript published in Science of the Total Environment
(Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie)10.1016/j.scitotenv.2020.137358)
DOI: 10.6084/m9.figshare.28695560
title: Photos Marine litter - Itamaracá 2022

description: Photos from marine litter sampled in Itamaracá island in December 2022The code in the photo is: Beach code; date; transect. SOS_21dec_T3 represents Sossego Beach, sampled on 21/12/2022, Litter from Transect 3. The sampling points are registered in the table '<i>sampling_points.xlsx</i><i>'</i><br>
DOI: 10.15468/dl.ahb9nf
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.80264362535974 10.093724702533933,106.80264362535974 10.093724702533933,106.80264362535974 14.093724702533933,102.80264362535974 14.093724702533933,102.80264362535974 10.093724702533933))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Danio Hamilton, 1822"
 ]
}

 The dataset includes 29 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008197-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qmwrx
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((121.76152 31.37823,122.04719 31.37823,122.04719 31.66913,121.76152 31.66913,121.76152 31.37823))",
 "HasGeospatialIssue is false",
 "TaxonKey is Platalea minor Temminck & Schlegel, 1849"
 ]
}

 The dataset includes 693 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008200-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57906/6azg-zh83
title: Public Attitudes Tracker - UK
DOI: 10.15468/dl.7qwdxx
title: Occurrence Download

description: A dataset containing 2874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is one of (Observation.org, Nature data from around the World, Pl@ntNet automatically identified occurrences)",
 "OccurrenceStatus is Present",
 "StateProvince is GElderland",
 "TaxonKey is Caltha palustris L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 2874 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008199-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqs5vr
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Forsythia suspensa (Thunb.) Vahl"
 ]
}

 The dataset includes 687 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008201-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq8xr4
title: Occurrence Download

description: A dataset containing 538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurema brigitta (Stoll, 1780)"
 ]
}

 The dataset includes 538 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008202-250325103851331/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.28261079
title: Accelerating Large-Scale Hydrological Modeling with Stepwise Spatial-Temporal Multimember Parallelization

description: Accelerating Large-Scale Hydrological Modeling with Stepwise Spatial-Temporal Multimember Parallelization<b>Highlights</b><b>:</b>A new stepwise spatial-temporal-multimember domain decomposition method improves high-performance parallel computing for grid-based hydrological modeling Computational units are partitioned into parallel spatial layers and conflict-free temporal indices with independent multimember arrays for ensemble modeling The high parallel efficiency is achieved in river basins with highly imbalanced workloads between channel and overland routing process
DOI: 10.15468/dl.8naptw
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aspidosperma quebracho-blanco Schltdl."
 ]
}

 The dataset includes 544 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008204-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15111745
title: PPCBench & AACBench

description: Revisiting Protein-protein Docking: A Systematic Evaluation Framework
DOI: 10.5281/zenodo.15112025
title: PPCBench & AACBench

description: Revisiting Protein-protein Docking: A Systematic Evaluation Framework
DOI: 10.5281/zenodo.15113828
title: HABITABLE Focus Group Data: Livelihoods, climate risks, adaptation, and migration impacts

description: This dataset is the product of HABITABLE () Work Package 5, "Migration Impacts," which aimed to improve the understanding of how different forms of migration and mobility affect social-ecological systems at places of origin.

It explores both direct and indirect impacts of migration on:i) the coping and adaptation capacities of individuals, households, and communities facing climate risks; andii) the structural root causes of vulnerability, including social, material, cultural, and political dimensions.

Recommended use:





Climate vulnerability and adaptation research




Migration and development studies


Intersectional and community-based adaptation research


Study design and data collection:





Study type: Structured and visual participatory group discussions




Target population: Rural adults (18+), from migrant and non-migrant households in climate affected areas




Methodology: Participatory Rural Appraisal (PRA)-inspired tools, using visualizations and facilitated discussions




Data collection instruments: 12 thematic sessions (e.g., migration impacts, climate risks, adaptation, social change, inequality)




Sampling: Mixed groups based on gender, age, socioeconomic background; purposive and stratified participant selection




Data format: Coded textual segments and transcribed visual materials




Ethical considerations: Informed consent, anonymization of site and personal data



Geographic coverage and sample size:





Ghana: 2 sites, 24 sessions with each 6-8 participants




Mali: 4 sites, 48 sessions with each 6-8 participants




Kenya: 3 sites, 36 sessions with each 6-8 participants




Thailand: 3 sites, 36 sessions with each 6-8 participants



Data processing and structure:Visual outputs and discussion notes were compiled into standardized reports and manually coded using a content-driven coding scheme. The resulting dataset includes text segments and image transcriptions, organized under thematic codes related to development trajectories, wellbeing, vulnerability, adaptation, migration impacts, gender, inequality, and environmental change.

Sensitivity and privacy:No personally identifiable information was collected. Site names were pseudonymized, and sensitive content (e.g., conflict/cohesion issues) was handled with care to prevent harm.

Technical documents :



Data description: see file Description_Habitable_WP5_FGD_Data.pdf

Data collection tools: see file D51_Tools_Data_Collection_WP5_Migration_Impact.pdf
DOI: 10.5281/zenodo.15113829
title: HABITABLE Focus Group Data: Livelihoods, climate risks, adaptation, and migration impacts

description: This dataset is the product of HABITABLE () Work Package 5, "Migration Impacts," which aimed to improve the understanding of how different forms of migration and mobility affect social-ecological systems at places of origin.

It explores both direct and indirect impacts of migration on:i) the coping and adaptation capacities of individuals, households, and communities facing climate risks; andii) the structural root causes of vulnerability, including social, material, cultural, and political dimensions.

Recommended use:





Climate vulnerability and adaptation research




Migration and development studies


Intersectional and community-based adaptation research


Study design and data collection:





Study type: Structured and visual participatory group discussions




Target population: Rural adults (18+), from migrant and non-migrant households in climate affected areas




Methodology: Participatory Rural Appraisal (PRA)-inspired tools, using visualizations and facilitated discussions




Data collection instruments: 12 thematic sessions (e.g., migration impacts, climate risks, adaptation, social change, inequality)




Sampling: Mixed groups based on gender, age, socioeconomic background; purposive and stratified participant selection




Data format: Coded textual segments and transcribed visual materials




Ethical considerations: Informed consent, anonymization of site and personal data



Geographic coverage and sample size:





Ghana: 2 sites, 24 sessions with each 6-8 participants




Mali: 4 sites, 48 sessions with each 6-8 participants




Kenya: 3 sites, 36 sessions with each 6-8 participants




Thailand: 3 sites, 36 sessions with each 6-8 participants



Data processing and structure:Visual outputs and discussion notes were compiled into standardized reports and manually coded using a content-driven coding scheme. The resulting dataset includes text segments and image transcriptions, organized under thematic codes related to development trajectories, wellbeing, vulnerability, adaptation, migration impacts, gender, inequality, and environmental change.

Sensitivity and privacy:No personally identifiable information was collected. Site names were pseudonymized, and sensitive content (e.g., conflict/cohesion issues) was handled with care to prevent harm.

Technical documents :



Data description: see file Description_Habitable_WP5_FGD_Data.pdf

Data collection tools: see file D51_Tools_Data_Collection_WP5_Migration_Impact.pdf
DOI: 10.5281/zenodo.15113841
title: Hainan_Cloud_Data

description: Hainan Island thumbnails and cloud mask result data
DOI: 10.5281/zenodo.15113842
title: Hainan_Cloud_Data

description: Hainan Island thumbnails and cloud mask result data