cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.htw37a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079554-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dp47z
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079553-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emur5v
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 199 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079555-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15770941
title: Global Caustic Soda Flakes Market 2025 To 2034

description: Caustic Soda Flakes Market Size, Trends and Insights By Application (Alumina Refining, Pulp and Paper Processing, Textile Processing, Water and Wastewater Treatment, Chemical Manufacturing, Soap and Detergent Production, Petroleum and Gas Processing, Food & Beverage Processing, Pharmaceutical Applications), By Type (Industrial-Grade Caustic Soda Flakes, Food-Grade Caustic Soda Flakes, Pharmaceutical-Grade Caustic Soda Flakes, Technical-Grade Caustic Soda Flakes, Low-Iron/High-Purity Caustic Soda Flakes, Membrane Cell-Based Caustic Soda), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Caustic Soda Flakes Market analysis conducted by the CMI Team, the global Caustic Soda Flakes market is expected to record a CAGR of 3.20% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 12.69 Billion. By 2034, the valuation is anticipated to reach USD 16.81 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=70777
DOI: 10.5281/zenodo.15770942
title: Global Caustic Soda Flakes Market 2025 To 2034

description: Caustic Soda Flakes Market Size, Trends and Insights By Application (Alumina Refining, Pulp and Paper Processing, Textile Processing, Water and Wastewater Treatment, Chemical Manufacturing, Soap and Detergent Production, Petroleum and Gas Processing, Food & Beverage Processing, Pharmaceutical Applications), By Type (Industrial-Grade Caustic Soda Flakes, Food-Grade Caustic Soda Flakes, Pharmaceutical-Grade Caustic Soda Flakes, Technical-Grade Caustic Soda Flakes, Low-Iron/High-Purity Caustic Soda Flakes, Membrane Cell-Based Caustic Soda), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Caustic Soda Flakes Market analysis conducted by the CMI Team, the global Caustic Soda Flakes market is expected to record a CAGR of 3.20% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 12.69 Billion. By 2034, the valuation is anticipated to reach USD 16.81 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=70777
DOI: 10.15468/dl.pb6vcf
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Lao People’s Democratic Republic",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 394 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079557-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fktyvj
title: Occurrence Download

description: A dataset containing 488748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 488748 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079541-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ooayto
title: Replication Data for: Doing things right versus doing the right things? Ownership’s effect on the Sustainable Development Goals

description: The Sustainable Development Goals (SDGs) are the focal point for coordinating global efforts toward promoting sustainable development. However, progress toward the SDGs has stalled. This article shifts attention to the behaviors of development partners as a key determinant of SDG attainment. It argues that lukewarm donor commitment to recipient-country ownership has prevented greater SDG attainment. While ownership is a procedural goal in its own right (SDG-17), it is also perceived as critical for achieving substantive development outcomes. The analysis synthesize data from two monitoring frameworks—the Paris Declaration Monitoring System (PDMS) and the Global Partnership on Effective Development Cooperation (GPEDC)—to examine the relationship between changes in ownership and changes in SDG attainment over the 2015-19 period. Using linear regression analysis of up to 257 donor−recipient dyads covering 23 donors and 66 recipients, the analysis shows that increases in ownership are significantly related to increases in SDG attainment. Instrumental-variable analysis supports a causal interpretation of these results. These results corroborate findings from qualitative studies about the role of ownership for sustainable development.
DOI: 10.26179/03h4-vg02
title: 2024-25 Casey ASPA 135 ANTOS data collection using SAEF AIoT Prototype 1.5 platforms
DOI: 10.15468/dl.wvxf7w
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia calvescens DC.",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 252 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079558-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mh56n
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079560-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsfebm
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079561-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9yedm
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079562-250525065834625/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.29434736
title: UCE probe set for Decapoda (Crustacea: Malacostraca)

description: This UCEs probe set was designed based on 12 high-quality genome assemblies of Decapoda (from 11 families comprising two suborders and five infraorders) and was used to resolve the internal phylogenetic relationships of this order, and particularly, those of the infraorder Axiidea de Saint Laurent, 1979. For more details, please refer to Kou et al. (2025).
DOI: 10.6084/m9.figshare.29434736.v1
title: UCE probe set for Decapoda (Crustacea: Malacostraca)

description: This UCEs probe set was designed based on 12 high-quality genome assemblies of Decapoda (from 11 families comprising two suborders and five infraorders) and was used to resolve the internal phylogenetic relationships of this order, and particularly, those of the infraorder Axiidea de Saint Laurent, 1979. For more details, please refer to Kou et al. (2025).
DOI: 10.6084/m9.figshare.28616207.v3
title: IDWE_CHM (NRT)

description: A near-real-time (NRT) extension of the IDWE_CHM dataset with ongoing daily updates beyond 2023. This NRT product continues to apply the IDWE framework on incoming data, thereby extending the record in near real-time. Users can obtain timely precipitation estimates with the same ~0.1° resolution and methodology consistency as the historical dataset.For a comprehensive description of the project, please refer to:<br><b>An Incremental Dynamic Weighting Ensemble Framework for Long-Term and NRT Precipitation Prediction</b><br>https://figshare.com/projects/An_Incremental_Dynamic_Weighting_Ensemble_Framework_for_Long-Term_and_NRT_Precipitation_Prediction/241619<br>The IDWE_CHM dataset provides <b>four precipitation variables</b>, all derived from the ensemble framework but with slightly different modeling approaches:<b>ENS_Reg</b> – A purely regression-based merged precipitation estimate. This product is generated by optimally weighting and combining the input datasets (ERA5-Land, IMERG, GSMaP, etc.) using regression, without additional classification. It serves as a baseline for the IDWE approach.<b>ENS_RegCla1</b>, <b>ENS_RegCla2</b>, <b>ENS_RegCla3</b> – Three variants of a hybrid <i>regression-plus-classification</i> approach (collectively called <b>ENS_RegCla</b>). These are produced by first applying the regression merging (as in ENS_Reg) and then using a classification step to adjust the estimates. The classification is enhanced with incremental learning, meaning the algorithm learns from errors over time. These three variants may correspond to different configurations or epochs of incremental learning, and they generally show improved skill in capturing precipitation occurrence and extremes compared to a regression-only merge.The updates of IDWE_CHM (NRT) are temporally coordinated with those of the five datasets integrated in the fusion process, with explicit synchronization maintained for the GPM_3IMERGDF dataset (available at: https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGDF_07/summary?keywords="IMERG final"), which exhibits relative latency compared to other fused datasets.
DOI: 10.15468/dl.8jcaer
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 126 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079565-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myvumz
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 331 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079566-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hnvwq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia nervosa (Sm.) Triana",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079564-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktnpdk
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus albus L.",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 264 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079567-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqkhmj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Lao People’s Democratic Republic",
 "TaxonKey is Apiaceae"
 ]
}

 The dataset includes 46 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079569-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15770967
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.
Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.34740/kaggle/dsv/12326012
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.vg9ud9
title: Occurrence Download

description: A dataset containing 8231692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 8231692 records from 3750 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079526-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15206696
title: Data for paper "Modifications in the Norman (1979) canopy radiative transfer model to consider multiple scattering in clumped layers and radiation absorption by stems"
DOI: 10.5281/zenodo.15206697
title: Data for paper "Modifications in the Norman (1979) canopy radiative transfer model to consider multiple scattering in clumped layers and radiation absorption by stems"
DOI: 10.5281/zenodo.15206721
title: Data for paper "Modifications in the Norman (1979) canopy radiative transfer model to consider multiple scattering in clumped layers and radiation absorption by stems"
DOI: 10.15156/bio/sh1081752.10fu
title: SH1081752.10FU

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/sh1081757.10fu
title: SH1081757.10FU

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/sh1081764.10fu
title: SH1081764.10FU

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/sh1081767.10fu
title: SH1081767.10FU

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/sh1081768.10fu
title: SH1081768.10FU

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/sh1081769.10fu
title: SH1081769.10FU

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.