cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24038105.v1
title: Table S3: Matrix of detected species by site for river sites. from Deforestation strengthens environmental filtering and competitive exclusion in Neotropical streams and rivers

description: Understanding how anthropization impacts the assembly of species onto communities is pivotal to go beyond the observation of biodiversity changes and reveal how disturbances affect the environmental and biotic processes shaping biodiversity. Here, we propose a simple framework to measure the assembly processes underpinning functional convergence/divergence patterns. We apply this framework to Northern Amazonian fish communities inventoried using environmental DNA in 35 stream sites and 64 river sites. We found that the harsh and unstable environmental conditions characterizing streams convey communities towards functional convergence, by filter traits related to food acquisition and, to a lower extent, dispersal. Such environmental filtering also strengthens competition by excluding species having less competitive food acquisition traits. Instead, random species assembly was more marked in river communities, which may be explained by the downstream position of rivers facilitating the dispersion of species. Although fish assembly rules differed between streams and river fish communities, anthropogenic disturbances reduced functional divergence in both ecosystems, with a reinforcement of both environmental filtering and weaker competitor exclusion. This may explain the substantial biodiversity alterations observed under slight deforestation levels and underlines the vulnerability of Neotropical freshwater ecosystems to anthropic disturbances that not only affect species persistence but also modify community assembly rules.
DOI: 10.5281/zenodo.8286028
title: Water content data for calibration of online measurements

description: Data for water content of test samples of wood chips. The data have been used for calibration at a CHP plant to allow of online measurements. The data are used for "Calibration techniques for Water Content Measurements in Solid Biofuels" (in prep.) www.biofmet.eu
description: This project 19ENG09 BIOFMET has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.8286027
title: Water content data for calibration of online measurements

description: Data for water content of test samples of wood chips. The data have been used for calibration at a CHP plant to allow of online measurements. The data are used for "Calibration techniques for Water Content Measurements in Solid Biofuels" (in prep.) www.biofmet.eu
description: This project 19ENG09 BIOFMET has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.24038120
title: Tracer metadata from Thermotolerant coral–algal mutualisms maintain high rates of nutrient transfer while exposed to heat stress

description: All raw data used for Kemp et al. 2023
DOI: 10.6084/m9.figshare.24038120.v1
title: Tracer metadata from Thermotolerant coral–algal mutualisms maintain high rates of nutrient transfer while exposed to heat stress

description: All raw data used for Kemp et al. 2023
DOI: 10.5281/zenodo.8061809
title: VNMPF-LIS: Validation Network Multiplatform Precipitation Feature (VNMPF) Dataset with International Space Station Lightning Imaging Sensor (ISS LIS) Data

description: The Multiplatform Precipitation Feature (MPF) database combines ground- and space-based precipitation observations and retrievals from the Global Precipitation Measurement (GPM) mission Validation Network (VN) with space-based lightning measurements from the Lightning Imaging Sensor on board the International Space Station (ISS LIS). The data are synthesized in a thunderstorm-like, feature-based framework that encapsulates the microphysical, kinematic, and electrical properties of the observed storm.<br> <br> A VNMPF includes: - Radar information, GPM orbit, and ISS orbit <br> - Time/date information<br> - Geographical information<br> - Radar reflectivity characteristics<br> - Lightning energetic and identification information (where there is lightning)<br> - 3-dimensional wind information (where radars in dual-Doppler configuration are available)<br> <br> Version 1: 2017-2020 Version 2: 2017-2022, updated VN winds
description: Funded by the National Aeronautics and Space Administration (NASA) Earth from International Space Station (ISS) program funding and Global Precipitation Measurement (GPM) Ground Validation. Funding was provided under contract to UAH author from the NASA Marshall Space Flight Center (80MSFC22M0001 and 80MSFC22M0004, respectively).
DOI: 10.5281/zenodo.8061810
title: VNMPF-LIS: Validation Network Multiplatform Precipitation Feature (VNMPF) Dataset with International Space Station Lightning Imaging Sensor (ISS LIS) Data

description: The Multiplatform Precipitation Feature (MPF) database combines ground- and space-based precipitation observations and retrievals from the Global Precipitation Measurement (GPM) mission Validation Network (VN) with space-based lightning measurements from the Lightning Imaging Sensor on board the International Space Station (ISS LIS). The data are synthesized in a thunderstorm-like, feature-based framework that encapsulates the microphysical, kinematic, and electrical properties of the observed storm.<br> <br> A VNMPF includes: - Radar information, GPM orbit, and ISS orbit <br> - Time/date information<br> - Geographical information<br> - Radar reflectivity characteristics<br> - Lightning energetic and identification information (where there is lightning)<br> - 3-dimensional wind information (where radars in dual-Doppler configuration are available)
description: Funded by the National Aeronautics and Space Administration (NASA) Earth from International Space Station (ISS) program funding and Global Precipitation Measurement (GPM) Ground Validation. Funding was provided under contract to UAH author from the NASA Marshall Space Flight Center (80MSFC22M0001 and 80MSFC22M0004, respectively).
DOI: 10.21227/nfbt-j428
title: Arabic Narrative Question Answering

description: The Narrative question answering (QA) problem involves generating accurate, relevant, and human-like answers to questions based on the comprehension of a story consisting of logically connected paragraphs. However, this problem remains unexplored for the Arabic language because of the lack of Arabic narrative datasets. To address this gap, we present the Arabic-NarrativeQA dataset, which is the first dataset specifically designed for machine-reading comprehension of Arabic stories. This dataset consists of two parts: translation of an English NarrativeQA dataset and a collection of new question-answer pairs based on Arabic stories. Furthermore, we implement the Arabic-NarrativeQA system using the Ranker-Reader pipeline, exploring and evaluating various approaches at each stage to identify the most effective ones. Finally, we utilize cross-lingual transfer learning techniques to leverage knowledge transfer from the English Narrative QA dataset to the Arabic-NarrativeQA system. Experiments show that incorporating cross-lingual transfer learning significantly improved the performance of the reader models. Furthermore, the question’s evidence information provided in the Arabic-NarrativeQA dataset enables the learnable rankers to effectively identify and select the pertinent paragraphs. To promote further research on this task, we make both the  Arabic-NarrativeQA dataset and the pre-trained models publicly available.
DOI: 10.6084/m9.figshare.24038238
title: Bristled wing data file from Fluid–structure interactions of bristled wings: the trade-off between weight and drag

description: Morphological measurements of bristled wings
DOI: 10.6084/m9.figshare.24038238.v1
title: Bristled wing data file from Fluid–structure interactions of bristled wings: the trade-off between weight and drag

description: Morphological measurements of bristled wings
DOI: 10.6084/m9.figshare.24038241
title: Data file for paper figures from Fluid–structure interactions of bristled wings: the trade-off between weight and drag

description: Raw data to reproduce all figures in the manuscript
DOI: 10.6084/m9.figshare.24038241.v1
title: Data file for paper figures from Fluid–structure interactions of bristled wings: the trade-off between weight and drag

description: Raw data to reproduce all figures in the manuscript
DOI: 10.6084/m9.figshare.24038253
title: Untitled Item

description: The data about System1 (24-bus electricity network and 20-node gas network), System2 ( 2-bus electricity network, 3-node gas network) and IEEE 33 distribution network.
DOI: 10.6084/m9.figshare.24038253.v1
title: Untitled Item

description: The data about System1 (24-bus electricity network and 20-node gas network), System2 ( 2-bus electricity network, 3-node gas network) and IEEE 33 distribution network.
DOI: 10.5519/qd.xz40w2np
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (152 records)
DOI: 10.5281/zenodo.8117485
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs
DOI: 10.5281/zenodo.8117744
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs
DOI: 10.5281/zenodo.8121204
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs
DOI: 10.5281/zenodo.8232818
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs
DOI: 10.5281/zenodo.8117484
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs.
DOI: 10.5281/zenodo.8233085
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs
DOI: 10.5281/zenodo.8286179
title: Acc_tcga_2018_processed

description: This dataset is the final result gotten from preprocessing the Acc_tcga_2018 gotten from the cBio portal and integrating it with the nodes gotten from pathway commons. It contains the edge index, the patients' information and survival time. It is to be used with Pytorch geometric for building GNNs.
DOI: 10.6084/m9.figshare.24038313
title: System1(G20P24)_System2(G3P2)_IEEE33.xls

description: The data is about System1 (24-bus electricity network and 20-node gas network), System2 ( 2-bus electricity network, 3-node gas network) and IEEE 33 distribution network.
DOI: 10.6084/m9.figshare.22140245
title: Raw_Data.zip

description: CD1C was identified as a potential biomarker by the comprehensive exploration of tumor mutational burden and immune infiltration in diffuse large B cell lymphoma
DOI: 10.6084/m9.figshare.22140245.v1
title: Raw_Data.zip

description: CD1C was identified as a potential biomarker by the comprehensive exploration of tumor mutational burden and immune infiltration in diffuse large B cell lymphoma
DOI: 10.6084/m9.figshare.22140245.v2
title: Raw_Data.zip

description: CD1C was identified as a potential biomarker by the comprehensive exploration of tumor mutational burden and immune infiltration in diffuse large B cell lymphoma
DOI: 10.6084/m9.figshare.24038322
title: 20230827_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24038322.v1
title: 20230827_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8280040
title: Dataset: Sea-level and monsoonal control on the Maldives carbonate platform (Indian Ocean) over the last 1.3 million years

description: Datasets used in the article "Sea-level and monsoonal control on the Maldives carbonate platform (Indian Ocean) over the last 1.3 million years" by M. Alonso-Garcia et al. (2023) In this study, we used elemental geochemical compositional records, obtained by X-ray fluorescence (XRF) core-scanning, from IODP Site U1467, in the Maldives Sea (Indian Ocean), to investigate how sea-level and coupled ocean-atmosphere dynamics affected the production and export of carbonate platform sediments to the Maldives Inner Sea over the last 1.3 Ma. The Sr/Ca ratio has been interpreted as a proxy for neritic carbonate production at the Maldives platform and its export to the periplatform sediments. The record of the Sr/Ca ratio has been combined with the Br normalized record, as a proxy for organic matter content linked to pelagic primary productivity and water column mixing, and with other proxies from Site U1467 that indicate variations in the monsoon dynamics, such as the Fe/K ratio, as a proxy for summer monsoon intensity, and the Fe input for winter monsoon intensity (Kunkelova et al., 2018). The combination of all those proxies suggests that during the last 1.3 Ma changes in the carbonate production and export in the Maldives region responded to sea-level variations but also to climate fluctuations related to monsoon dynamics. Moreover, the long-term patterns observed in the records can be related to the MPT and MBE events.
DOI: 10.34740/kaggle/dsv/6369037
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6369054
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.24038337
title: 数据.sav

description: The data was used to explore the relationship between the perceived teacher support, perceived self-efficacy, and student engagement of Chinese local college undergraduates.
DOI: 10.6084/m9.figshare.24038337.v1
title: 数据.sav

description: The data was used to explore the relationship between the perceived teacher support, perceived self-efficacy, and student engagement of Chinese local college undergraduates.
DOI: 10.5281/zenodo.8273615
title: SniffyArt

description: Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. We introduce the SniffyArt dataset, consisting of 1941 individuals represented in 441 historical artworks. Each person is annotated with a tightly fitting bounding box, 17 pose keypoints, and a gesture label. By integrating these annotations, the dataset enables the development of hybrid classification approaches for smell gesture recognition. The dataset’s high-quality human pose estimation keypoints are achieved through the merging of five separate sets of keypoint annotations per person. The SniffyArt dataset lays a solid foundation for future research and the exploration of multi-task approaches leveraging pose keypoints and person boxes to advance human gesture and olfactory dimension analysis in historical artworks.
DOI: 10.5281/zenodo.8273616
title: SniffyArt

description: Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. We introduce the SniffyArt dataset, consisting of 1941 individuals represented in 441 historical artworks. Each person is annotated with a tightly fitting bounding box, 17 pose keypoints, and a gesture label. By integrating these annotations, the dataset enables the development of hybrid classification approaches for smell gesture recognition. The dataset’s high-quality human pose estimation keypoints are achieved through the merging of five separate sets of keypoint annotations per person. The SniffyArt dataset lays a solid foundation for future research and the exploration of multi-task approaches leveraging pose keypoints and person boxes to advance human gesture and olfactory dimension analysis in historical artworks.
DOI: 10.6084/m9.figshare.24038409
title: CSV_Zip.zip

description: This is a test run for checking data availability.
DOI: 10.6084/m9.figshare.24038409.v1
title: CSV_Zip.zip

description: This is a test run for checking data availability.
DOI: 10.15468/dl.q5edha
title: Occurrence Download

description: A dataset containing 4192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepidochelys kempii Garman, 1880)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4192 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085198-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jakt3
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Diabrotica undecimpunctata Jacoby, 1879",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 196 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085199-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b77ux9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Hilara nigrohirta Collin, 1927",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085201-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e2u5r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calogyne R.Br."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085202-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adjext
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepidomeda albivallis Miller & Hubbs, 1960)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085203-240626123714530/datasets/export for details.
DOI: 10.15468/dl.2z2ut2
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Diabrotica undecimpunctata Jacoby, 1879",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 196 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085204-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxde6e
title: Occurrence Download

description: A dataset containing 77765 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liquidambar styraciflua L."
 ]
}

 The dataset includes 77765 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085200-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmhjm7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Hilara albiventris Roser, 1840",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085205-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2kdce
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepilemur ruficaudatus Grandidier, 1867)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085206-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vt3tpk
title: Occurrence Download

description: A dataset containing 1367 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calomeria Vent."
 ]
}

 The dataset includes 1367 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085207-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.