cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xx64gw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glossamia beauforti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042251-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16941336
title: Assessing the Impact of Rising US Tariffs on Global Wood Product Markets (Supplementary Material)

description: This dataset contains input and output data for the study "Assessing the Impact of Rising US Tariffs on Global Wood Product Markets", where the impact of different US tariff regimes on the forest sector is investigated in two steps. First, estimating country-specific Armington elasticities for US imports of wood products. Second, incorporating these elasticities into the partial equilibrium model TiMBA to analyze the distributional effects of US protectionist measures on global timber markets.

Input data for the econometric analysis is given in parquet format, input data for the TiMBA model are given in xlsx format and the data container with output from the TiMBA model in pkl format. To access the latter it is recommended to use the tool TiMBA_Charts (https://pypi.org/project/TiMBA-Charts/). 

Author information and affiliations will be made publicly available, if the paper is accepted for publication.
DOI: 10.5281/zenodo.16941335
title: Assessing the Impact of Rising US Tariffs on Global Wood Product Markets (Supplementary Material)

description: This dataset contains input and output data for the study "Assessing the Impact of Rising US Tariffs on Global Wood Product Markets", where the impact of different US tariff regimes on the forest sector is investigated in two steps. First, estimating country-specific Armington elasticities for US imports of wood products. Second, incorporating these elasticities into the partial equilibrium model TiMBA to analyze the distributional effects of US protectionist measures on global timber markets.

Input data for the econometric analysis is given in parquet format, input data for the TiMBA model are given in xlsx format and the data container with output from the TiMBA model in pkl format. To access the latter it is recommended to use the tool TiMBA_Charts (https://pypi.org/project/TiMBA-Charts/). 

Author information and affiliations will be made publicly available, if the paper is accepted for publication.
DOI: 10.5281/zenodo.16941457
title: Social media dataset

description: This dataset comprises 1150 Facebook posts from a political party's official page. This dataset has three fields: the first is the number of comments, the second is the Facebook post URL, and the third is the Facebook post.
DOI: 10.5281/zenodo.16941458
title: Social media dataset

description: This dataset comprises 1150 Facebook posts from a political party's official page. This dataset has three fields: the first is the number of comments, the second is the Facebook post URL, and the third is the Facebook post.
DOI: 10.6084/m9.figshare.29979514
title: table 3: Kappa coefficient analysis of questionnaire versus medical assessment

description: This table summarizes the kappa coefficient values for each item of the pediatric preanesthesia questionnaire, classified into categories of agreement (perfect, excellent, substantial, moderate, and fair). It highlights items with the highest and lowest levels of agreement
DOI: 10.6084/m9.figshare.29979514.v1
title: table 3: Kappa coefficient analysis of questionnaire versus medical assessment

description: This table summarizes the kappa coefficient values for each item of the pediatric preanesthesia questionnaire, classified into categories of agreement (perfect, excellent, substantial, moderate, and fair). It highlights items with the highest and lowest levels of agreement
DOI: 10.15468/dl.ktje43
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "CatalogNumber is one of (QUE0124243, que0124243)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042254-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ev3pgx
title: Resultados analíticos método sangue post mortem LC-MSMS ToxCrim

description: Arquivos contendo os resultados analíticos tratados e oriundos da validação e da aplicação de método analítico de sangue post mortem do Estado da Paraíba por Microquechers LC-MSMS no Laboratório de Toxicologia Analítica (LTA) do CIATOX-Campinas cujo escopo foi baseado nos resultados do Sistema ToxCrim.
DOI: 10.25574/45613
title: Chandra X-ray Observatory ObsId 45613
DOI: 10.25574/45618
title: Chandra X-ray Observatory ObsId 45618
DOI: 10.25574/45619
title: Chandra X-ray Observatory ObsId 45619
DOI: 10.25574/45623
title: Chandra X-ray Observatory ObsId 45623
DOI: 10.25574/45624
title: Chandra X-ray Observatory ObsId 45624
DOI: 10.25574/45626
title: Chandra X-ray Observatory ObsId 45626
DOI: 10.5281/zenodo.13380277
title: Reproduction package for "Recombination of localized quasiparticles in disordered superconductors"

description: This is a reproduction package to the paper "Recombination of localized quasiparticles in disordered superconductors". It contains all data and code to reproduce the figures in this paper.
DOI: 10.5281/zenodo.16781105
title: Reproduction package for "Recombination of localized quasiparticles in disordered superconductors"

description: This is a reproduction package to the paper "Recombination of localized quasiparticles in disordered superconductors". It contains all data and code to reproduce the figures in this paper.
DOI: 10.25574/45628
title: Chandra X-ray Observatory ObsId 45628
DOI: 10.25574/45633
title: Chandra X-ray Observatory ObsId 45633
DOI: 10.25574/45634
title: Chandra X-ray Observatory ObsId 45634
DOI: 10.15468/dl.9pzcfj
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus pedunculatus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042256-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/45641
title: Chandra X-ray Observatory ObsId 45641
DOI: 10.25574/45644
title: Chandra X-ray Observatory ObsId 45644
DOI: 10.25574/45656
title: Chandra X-ray Observatory ObsId 45656
DOI: 10.15468/dl.cvmk8m
title: Occurrence Download

description: A dataset containing 2174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus pedunculatus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2174 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042257-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xehfrf
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus pedunculatus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 302 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042258-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/45659
title: Chandra X-ray Observatory ObsId 45659
DOI: 10.15468/dl.ued69b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus tete)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042259-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/45666
title: Chandra X-ray Observatory ObsId 45666
DOI: 10.25574/45667
title: Chandra X-ray Observatory ObsId 45667
DOI: 10.25574/45670
title: Chandra X-ray Observatory ObsId 45670
DOI: 10.25574/45671
title: Chandra X-ray Observatory ObsId 45671
DOI: 10.25574/45676
title: Chandra X-ray Observatory ObsId 45676
DOI: 10.25574/45677
title: Chandra X-ray Observatory ObsId 45677
DOI: 10.6084/m9.figshare.29233699
title: Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism

description: The recommendation of Sustainable Development Pathways (SDPs) is crucial for achieving the United Nations Sustainable Development Goals (SDGs) at regional level. However, traditional recommendation algorithms struggle with two key challenges: spatial heterogeneity and sparse historical interaction records between regions and SDPs. To address these issues, we introduce the Regional Graph-Based Explainable Recommendation (RGB-ER) method. RGB-ER leverages a pruned Regional Graph (RG) to capture regional spatial heterogeneity, incorporating environmental, economic, and social factors into the recommendations. In addition, an Intent Graph models regional preferences across various attributes, bridging historical interactions with the RG and mitigating data sparsity. This dual approach significantly improves recommendation accuracy and interpretability. Extensive experiments show that RGB-ER outperforms state-of-the-art graph-based models, with a maximum improvement of 9.61% in Top-3 recommendation accuracy. A case study in Fujian Province – a region characterized by its mountainous terrain, complex socio-economic landscape, and significant sustainability challenges – illustrates RGB-ER’s practical applicability, aligning well with local government strategies for sustainable development. Furthermore, we assess SDPs at the county level across China, highlighting the method’s potential for guiding region-specific sustainable development planning. In conclusion, RGB-ER provides a robust, explainable framework for data-driven decision-making in sustainable development.
DOI: 10.6084/m9.figshare.29233699.v1
title: Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism

description: The recommendation of Sustainable Development Pathways (SDPs) is crucial for achieving the United Nations Sustainable Development Goals (SDGs) at regional level. However, traditional recommendation algorithms struggle with two key challenges: spatial heterogeneity and sparse historical interaction records between regions and SDPs. To address these issues, we introduce the Regional Graph-Based Explainable Recommendation (RGB-ER) method. RGB-ER leverages a pruned Regional Graph (RG) to capture regional spatial heterogeneity, incorporating environmental, economic, and social factors into the recommendations. In addition, an Intent Graph models regional preferences across various attributes, bridging historical interactions with the RG and mitigating data sparsity. This dual approach significantly improves recommendation accuracy and interpretability. Extensive experiments show that RGB-ER outperforms state-of-the-art graph-based models, with a maximum improvement of 9.61% in Top-3 recommendation accuracy. A case study in Fujian Province – a region characterized by its mountainous terrain, complex socio-economic landscape, and significant sustainability challenges – illustrates RGB-ER’s practical applicability, aligning well with local government strategies for sustainable development. Furthermore, we assess SDPs at the county level across China, highlighting the method’s potential for guiding region-specific sustainable development planning. In conclusion, RGB-ER provides a robust, explainable framework for data-driven decision-making in sustainable development.
DOI: 10.6084/m9.figshare.29190740
title: Fragmentation patterns of Antarctic icebergs in sea ice: observations and statistical data

description: Fragmentation is a key process in Antarctic iceberg decay, influencing the Antarctic climate and ecosystems. However, iceberg fragmentation has not been quantified at the pan-Antarctic scale. Using Sentinel-1 data from August to October 2019, we identified 407 fragmentation events in the circum-Antarctic near-coastal zone, with original iceberg sizes ranging from 0.01 km² to 5591.34 km². The Indian Ocean sector had the greatest number of fragmented events, 97% of which involved icebergs less than 1 km², whereas the Bellingshausen–Amundsen Sea sector has experienced the highest number of fragmentation events involving medium to large icebergs. Smaller icebergs (less than 1 km²) were more susceptible to disintegration through highly fractured capsizing, whereas larger icebergs underwent disarticulation. Fragmentation events were less frequent in landfast ice or mélange (∼0.5% monthly), whereas icebergs exceeding 10 km² exhibited a notable increase in the ratio of fragmentation events to the total number of icebergs (more than 15% monthly) when they were in motion and rotating in pack ice. Our findings indicate that during winter and under extensive sea ice cover, internal ocean waves, ocean currents and collisions are key factors influencing iceberg fragmentation.
DOI: 10.6084/m9.figshare.29190740.v1
title: Fragmentation patterns of Antarctic icebergs in sea ice: observations and statistical data

description: Fragmentation is a key process in Antarctic iceberg decay, influencing the Antarctic climate and ecosystems. However, iceberg fragmentation has not been quantified at the pan-Antarctic scale. Using Sentinel-1 data from August to October 2019, we identified 407 fragmentation events in the circum-Antarctic near-coastal zone, with original iceberg sizes ranging from 0.01 km² to 5591.34 km². The Indian Ocean sector had the greatest number of fragmented events, 97% of which involved icebergs less than 1 km², whereas the Bellingshausen–Amundsen Sea sector has experienced the highest number of fragmentation events involving medium to large icebergs. Smaller icebergs (less than 1 km²) were more susceptible to disintegration through highly fractured capsizing, whereas larger icebergs underwent disarticulation. Fragmentation events were less frequent in landfast ice or mélange (∼0.5% monthly), whereas icebergs exceeding 10 km² exhibited a notable increase in the ratio of fragmentation events to the total number of icebergs (more than 15% monthly) when they were in motion and rotating in pack ice. Our findings indicate that during winter and under extensive sea ice cover, internal ocean waves, ocean currents and collisions are key factors influencing iceberg fragmentation.
DOI: 10.6084/m9.figshare.29877930
title: Remote sensing assessment of carbon balance vis-a-vis energy-related emissions and vegetation sequestration in a typical arid region of China from 2001 to 2020

description: Since 2000, the Western Development Strategy and warming-humidification of Northwest China have led to notable changes in Xinjiang’s carbon emissions and sequestration. Understanding the regional carbon budget is key to sustainable development. This study employed fused nighttime light data and statistical records to perform piecewise function fitting, effectively reflecting long-term trends in energy-related carbon emissions. Meanwhile, NDVI, land use, and meteorological data were integrated into the CASA model to accurately estimate the variations in vegetation carbon sequestration. Accordingly, we employed multi-source remote sensing data to model carbon emissions and sequestration, focusing on carbon balance changes in Xinjiang and its main cities with varying levels of economic development. Results show: (1) Emissions rose significantly, surpassing sequestration in 2012; (2) Emissions showed spatial shifts southward, while sequestration remained stable but expanded in area; (3) Regional rankings revealed significant spatial differentiation in carbon emissions and sequestration, with consistently rising emissions and limited sequestration gains at the city level, leading to a dominant carbon expenditure profile; (4) Precipitation-driven climate factors positively influenced sequestration, while GDP-driven human activities significantly increased both emissions and sequestration. This study offers a reliable spatial carbon balance estimation method to support regional carbon peak and neutrality goals.
DOI: 10.6084/m9.figshare.29877930.v1
title: Remote sensing assessment of carbon balance vis-a-vis energy-related emissions and vegetation sequestration in a typical arid region of China from 2001 to 2020

description: Since 2000, the Western Development Strategy and warming-humidification of Northwest China have led to notable changes in Xinjiang’s carbon emissions and sequestration. Understanding the regional carbon budget is key to sustainable development. This study employed fused nighttime light data and statistical records to perform piecewise function fitting, effectively reflecting long-term trends in energy-related carbon emissions. Meanwhile, NDVI, land use, and meteorological data were integrated into the CASA model to accurately estimate the variations in vegetation carbon sequestration. Accordingly, we employed multi-source remote sensing data to model carbon emissions and sequestration, focusing on carbon balance changes in Xinjiang and its main cities with varying levels of economic development. Results show: (1) Emissions rose significantly, surpassing sequestration in 2012; (2) Emissions showed spatial shifts southward, while sequestration remained stable but expanded in area; (3) Regional rankings revealed significant spatial differentiation in carbon emissions and sequestration, with consistently rising emissions and limited sequestration gains at the city level, leading to a dominant carbon expenditure profile; (4) Precipitation-driven climate factors positively influenced sequestration, while GDP-driven human activities significantly increased both emissions and sequestration. This study offers a reliable spatial carbon balance estimation method to support regional carbon peak and neutrality goals.
DOI: 10.5281/zenodo.16941501
title: TABLE 1 in Nymphanthus adenophorus, a new species of Phyllanthaceae from Vietnam

description: TABLE 1. Morphological comparisons of Nymphanthus adenophorus with N. pireyi and N. nanellus. The characteristics of N. pireyi are based on Beille (1927) and Hô (2003), while those of N. nanellus are from Li (1987) and Li & Gilbert (2008). The length of floriferous branchlets, the number of leaves per floriferous branchlet, and the visibility of lateral veins on the leaf blades are also derived from digitized herbarium specimens listed in Appendix 1.
CharactersN. adenophorusN. pireyiN. nanellusShape of floriferous branchletstereteangular2-wingedLength of floriferous branchlets (cm)1.1–2.34–63.8–8Number of leaves per floriferous branchlet5–98–3422–38Size of leaf blades (mm)6–10 × 6–95–7 × 3–44–5 × ca. 2Visibility of lateral veins on leaf bladesfaintly visible on both surfacesslightly conspicuous adaxially, inconspicuous abaxiallyslightly conspicuous adaxially, inconspicuous abaxiallyLength of pedicels of staminate flowers (mm)7–131–22Shape of discs of pistillate flowersconnate, accordion-foldedconnate, cup-shapedconnate, discoid
description: Published as part of Yamamoto, Takenori, Dang, Van-Son, Souladeth, Phetlasy & Tagane, Shuichiro, 2025, Nymphanthus adenophorus, a new species of Phyllanthaceae from Vietnam, pp. 19 in Phytotaxa 683 (1) on page 19, DOI: 10.11646/phytotaxa.683.1.3, http://zenodo.org/record/16712795
DOI: 10.5281/zenodo.16941502
title: TABLE 1 in Nymphanthus adenophorus, a new species of Phyllanthaceae from Vietnam

description: TABLE 1. Morphological comparisons of Nymphanthus adenophorus with N. pireyi and N. nanellus. The characteristics of N. pireyi are based on Beille (1927) and Hô (2003), while those of N. nanellus are from Li (1987) and Li & Gilbert (2008). The length of floriferous branchlets, the number of leaves per floriferous branchlet, and the visibility of lateral veins on the leaf blades are also derived from digitized herbarium specimens listed in Appendix 1.
CharactersN. adenophorusN. pireyiN. nanellusShape of floriferous branchletstereteangular2-wingedLength of floriferous branchlets (cm)1.1–2.34–63.8–8Number of leaves per floriferous branchlet5–98–3422–38Size of leaf blades (mm)6–10 × 6–95–7 × 3–44–5 × ca. 2Visibility of lateral veins on leaf bladesfaintly visible on both surfacesslightly conspicuous adaxially, inconspicuous abaxiallyslightly conspicuous adaxially, inconspicuous abaxiallyLength of pedicels of staminate flowers (mm)7–131–22Shape of discs of pistillate flowersconnate, accordion-foldedconnate, cup-shapedconnate, discoid
description: Published as part of Yamamoto, Takenori, Dang, Van-Son, Souladeth, Phetlasy & Tagane, Shuichiro, 2025, Nymphanthus adenophorus, a new species of Phyllanthaceae from Vietnam, pp. 19 in Phytotaxa 683 (1) on page 19, DOI: 10.11646/phytotaxa.683.1.3, http://zenodo.org/record/16712795
DOI: 10.6084/m9.figshare.29396378
title: A construction method of a multidimensional and multilingual association network for earth surface system science data

description: The use of association networks to calculate metadata similarity for data association and recommendation is a well-established approach. However, challenges persist in the field of open scientific data association within the Earth surface system. Existing methodologies are primarily designed for single data sources, limited dimensions, and specific linguistic domains, limiting their applicability and effectiveness. Enhancing the efficiency and adaptability of association algorithms is crucial for further advancements in this field. In this paper, we propose a multidimensional and multilingual association method for Earth surface system scientific data to support precise data retrieval and intelligent recommendation. The method quantitatively computes one-dimensional and multidimensional similarities using five primary indicators of multilingual data, enabling semantic interconnection and facilitating knowledge discovery within open scientific data related to the Earth surface system. We obtained metadata from several authoritative sources, including NESSDC, NASA, and Data.gov, and performed association calculations, constructed multidimensional association networks, and evaluated them for optimization. The key strengths of this study include its ability to construct one-, two-, and multidimensional association networks effectively, support cross-lingual and cross-standard data interconnections, and assess network node importance. Finally, we conducted a comparative analysis with classical methods, demonstrating that our approach achieves higher accuracy and better scalability.