cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12620984
title: CFATD: The First High-Spatiotemporal-Resolution Mapping of Forest Aboveground Biomass in China from 1985 to 2023 (Part Ⅰ: 1985-1993)

description: The China Annual Forest Aboveground Biomass Time-Series Dataset (CFATD) is the first comprehensive, high-resolution annual dataset specifically developed for monitoring forest aboveground biomass (AGB) across China. Covering the period from 1985 to 2023, this dataset was generated using a combination of multi-source remote sensing data and deep learning techniques, including residual neural networks. CFATD provides 30-meter resolution annual AGB density (AGBD) estimates, enabling a detailed assessment of spatiotemporal biomass dynamics in China’s forests.

CFATD is publicly available on the Google Earth Engine (GEE) platform, with updates planned annually. The dataset can be accessed via the following link:👉 https://code.earthengine.google.com/4f8ad8d32ddb84e826e941a95f31f9be

Users can explore both AGBD estimates and the corresponding uncertainty layers (available only via GEE), supporting in-depth analysis of forest biomass trends and dynamics. Please note that uncertainty estimates are not included in the Zenodo repository.

The unit of CFATD is megagrams per hectare (Mg/ha). This is a density value, already normalized per hectare, so no further conversion based on pixel area (900 m²) is required when interpreting per-pixel values. Each pixel represents the AGBD of the forest within that 30 m × 30 m grid cell. However, to compute total biomass or carbon stock, AGBD values should be multiplied by the corresponding forest area (e.g., pixel area × tree cover fraction), following the approach outlined in our related publication (Cai et al., essdd, 2025).

The tree cover dataset used in these calculations, the China Annual Tree Cover Dataset (CATCD), is available from our peer-reviewed article:👉 https://doi.org/10.1016/j.isprsjprs.2024.08.001This article provides both GEE access and offline download links for CATCD.

Important note: The dataset may contain a small number of unusually high AGB values in certain regions (e.g., >1500 Mg/ha), which may reflect outliers or model artifacts rather than actual forest conditions. While these values occur only in a very limited portion of the dataset, users are advised to apply appropriate filters or quality control procedures when conducting sensitive analyses. These issues will be addressed in future dataset updates.

Citation:Cai, Y., Zhu, P., Li, X., Liu, X., Chen, Y., Shen, Q., Xu, X., Zhang, H., Nie, S., Wang, C., Wang, J., Li, B., Wu, C., and Zhuang, H.: Dynamics of China’s Forest Carbon Storage: The First 30 m Annual Aboveground Biomass Mapping from 1985 to 2023, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-96, in review, 2025.

For data-related inquiries, please contact:Dr. Yaotong Cai (caiyt33@mail2.sysu.edu.cn)
DOI: 10.15468/dl.rmwfpm
title: Occurrence Download

description: A dataset containing 35706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplotaxis erucoides (L.) DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35706 records from 380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080162-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxzzrs
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exbucklandia tonkinensis (Lecomte) H.T.Chang"
 ]
}

 The dataset includes 388 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003325-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7trtnr
title: Occurrence Download

description: A dataset containing 4845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symplocos lancifolia Siebold & Zucc."
 ]
}

 The dataset includes 4845 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003379-250227182430271/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.27187584
title: Paper Supplementary material and Raw data

description: Supplementary material and Raw data from an optimised bead beating method used to extract high quality RNA from tough-to-lyse gram-positive bacteria
DOI: 10.15468/dl.3dzemn
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea subcoriacea Yen C.Yang & P.H.Huang"
 ]
}

 The dataset includes 213 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003327-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7sh8n
title: Occurrence Download

description: A dataset containing 2539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Daphniphyllum oldhamii (Hemsl.) K.Rosenthal"
 ]
}

 The dataset includes 2539 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003380-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzw74k
title: Occurrence Download

description: A dataset containing 3665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Sphaeropteris cooperi (Hook. ex F.Muell.) R.M.Tryon"
 ]
}

 The dataset includes 3665 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015054-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fydusu
title: Occurrence Download

description: A dataset containing 1346 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmanthus marginatus (Champ. ex Benth.) Hemsl."
 ]
}

 The dataset includes 1346 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003328-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.10537
title: Griot Songs (NCAC_RDD_TAPE_0136A)

description: Kelefaa Saane
 Ala maa a diyaa la jatoo la


<sup><em>Alternative names: Kelefa,</em></sup> <sup><em>Bai, Baye, Conteh, Konteh</em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.10536
title: Griot Songs (NCAC_RDD_TAPE_0136A)

description: Kelefaa Saane
 Ala maa a diyaa la jatoo la


<sup><em>Alternative names: Kelefa,</em></sup> <sup><em>Bai, Baye, Conteh, Konteh</em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.pbmvfu
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium austrosinense (Merr. & L.M.Perry) Chang & R.H.Miao"
 ]
}

 The dataset includes 127 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003381-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aks74z
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Machilus chinensis (Benth.) Hemsl."
 ]
}

 The dataset includes 454 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003382-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t95tmd
title: Occurrence Download

description: A dataset containing 3430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea elongata (Nees) Benth. & Hook.fil."
 ]
}

 The dataset includes 3430 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003383-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chqz9b
title: Occurrence Download

description: A dataset containing 1817 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Engelhardia roxburghiana Wall."
 ]
}

 The dataset includes 1817 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003329-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eabf55
title: Occurrence Download

description: A dataset containing 3879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castanea mollissima Blume"
 ]
}

 The dataset includes 3879 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003384-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/a5v9hh
title: Arthropod diversity in the tea ecosystem of North-Eastern Bangladesh

description: The investigation on assessing arthropod community structure in tea stands was conducted at the Lakkatura Tea Estates of Sylhet, Bangladesh, from November 2017 to 2018. The actual project was carried out to determine variations in insect biodiversity among four microhabitat types in tea estates and to determine relationships of various functional groups of insects with understory vegetation and microclimate changes in tea estates. A total of 20 Malaise traps were set to capture arthropod samples from a large gap tea stand, a small gap tea stand, a gapless tea stand and a shade tree tea stand. Arthropod samples were collected at every 15-day interval, identified to taxonomic classes and categorized into various functional groups like pest, beneficial and neutral insects. A total of 3219 individuals were captured under 71 arthropod species, belonging to 56 families and 14 orders; which are listed in this occurance dataset. The study was carried out under the project titled "Status of insect biodiversity and ecosystem functions in tea estates of the Sylhet region", funded by the Bangladesh Agricultural Research Council. The dataset of the arthropod community in the tea ecosystem will help to facilitate research on distribution, abundance and migration of these arthropods around the world.
DOI: 10.15468/dl.mxd23y
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaeocarpus nitentifolius Merr. & Chun"
 ]
}

 The dataset includes 174 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003385-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a8ukv
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Huodendron biaristatum var. parviflorum (Merr.) Rehder"
 ]
}

 The dataset includes 173 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003332-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j27gq4
title: Occurrence Download

description: A dataset containing 1670 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros morrisiana Hance ex Walp."
 ]
}

 The dataset includes 1670 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003333-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.10517
title: An Account on The History of Kaabu (NCAC_RDD_TAPE_0112A)

description: The Saane clan
 Alfa Moolo
 Migration to Gambia
 Kelefaa Saane


<sup><em>Alternative names: Alpha, Molloh, Sanneh, Kelefa, Suso, Susso, Manekebba, Darbo, Darboe, Dabo, Daboe, Alieu, Aliou, Aliu </em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.10516
title: An Account on The History of Kaabu (NCAC_RDD_TAPE_0112A)

description: The Saane clan
 Alfa Moolo
 Migration to Gambia
 Kelefaa Saane


<sup><em>Alternative names: Alpha, Molloh, Sanneh, Kelefa, Suso, Susso, Manekebba, Darbo, Darboe, Dabo, Daboe, Alieu, Aliou, Aliu </em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.rz5c3a
title: Occurrence Download

description: A dataset containing 2047 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex ficoidea Hemsl."
 ]
}

 The dataset includes 2047 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003387-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9eay32
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((442.86964 24.12156,443.50457 24.12156,443.50457 24.71819,442.86964 24.71819,442.86964 24.12156))"
 ]
}

 The dataset includes 378 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003389-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/ipxh3o
title: The effects of acrylonitrile butadiene styrene (ABS) microplastic ageing on the sorption and toxicity of ionic liquids with 2,4-D and glyphosate herbicides

description: Microplastics represent a new category of environmental contaminants, and understanding their interaction with typical xenobiotics is crucial. In this study, we investigated the effects of ionic liquids (ILs) containing herbicide anions such as glyphosate [Glyph] and 2,4-dichlorophenoxyacetate [2,4-D] and the surfactant cation dodecyltrimethylammonium [C12TMA] on acrylonitrile-butadiene-styrene (ABS) microplastics. The aim of the study was to evaluate the sorption capacity of microplastics, which were present in both untreated and aged forms, using standard and modified Fenton methods. In addition, the effects on toxicity and stress adaptation of the model soil bacterium Pseudomonas putida KT2440 were measured.
DOI: 10.15468/dl.5v63n9
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Bombina microdeladigitora Liu, Hu & Yang, 1960"
 ]
}

 The dataset includes 129 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003390-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dad3q3
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Egypt",
 "Month is February",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 236 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003335-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r85nz6
title: Occurrence Download

description: A dataset containing 1093913865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1093913865 records from 35329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003315-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1082399.10fu
title: SH1082399.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1082400.10fu
title: SH1082400.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1082402.10fu
title: SH1082402.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1082406.10fu
title: SH1082406.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1082410.10fu
title: SH1082410.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.