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

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056081-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/29362889
title: PCA_2.R

description: Script to run PCA
DOI: 10.26180/29362889.v1
title: PCA_2.R

description: Script to run PCA
DOI: 10.15468/dl.s3mmrh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056082-250525065834625/datasets/export for details.
DOI: 10.15468/dl.njza4k
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce
title: Data underlying the publication: Tracing the splash: assessing virtual water flows from small-scale agriculture

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to the crop production involved in international trade virtual water flows. This dataset contains country-level crop production involved in trade and virtual water flow divided by green or blue water, type of final use, and year from small-scale and large-scale agriculture.<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v5
title: Data underlying the publication: Tracing the splash: assessing virtual water flows from small-scale agriculture

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to the crop production involved in international trade virtual water flows. This dataset contains country-level crop production involved in trade and virtual water flow divided by green or blue water, type of final use, and year from small-scale and large-scale agriculture.<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.26180/29362874.v1
title: cet_groupdata_2.csv

description: Group data to run analyses
DOI: 10.15468/dl.jct6h9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056083-250525065834625/datasets/export for details.
DOI: 10.26180/29362874
title: cet_groupdata_2.csv

description: Group data to run analyses
DOI: 10.15468/dl.rcjj7e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056085-250525065834625/datasets/export for details.
DOI: 10.15468/dl.rxmcym
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.36051 18.02219,-94.36435 18.02765,-94.36519 18.0323,-94.36214 18.03428,-94.36354 18.03544,-94.37097 18.03451,-94.37376 18.03567,-94.37493 18.03788,-94.37295 18.03881,-94.37214 18.04032,-94.37702 18.04207,-94.37609 18.04532,-94.37865 18.04823,-94.38248 18.04695,-94.38411 18.04869,-94.38295 18.05229,-94.38608 18.05415,-94.39131 18.05346,-94.39306 18.05717,-94.38928 18.06111,-94.39068 18.06638,-94.39559 18.0698,-94.39362 18.07651,-94.40112 18.07927,-94.40363 18.07275,-94.40689 18.07275,-94.41257 18.08756,-94.41526 18.09274,-94.41363 18.0946,-94.41549 18.09972,-94.4248 18.09822,-94.42283 18.09269,-94.41665 18.08368,-94.41533 18.07493,-94.41572 18.06447,-94.4173 18.05796,-94.41987 18.05282,-94.42421 18.05006,-94.43211 18.05085,-94.4327 18.0467,-94.42658 18.0394,-94.41869 18.03368,-94.41526 18.03405,-94.41572 18.02754,-94.41328 18.02719,-94.41235 18.0316,-94.40387 18.03137,-94.3991 18.033,-94.39515 18.03149,-94.39364 18.02916,-94.38759 18.02719,-94.38074 18.02951,-94.37481 18.02765,-94.36667 18.01952,-94.36051 18.02219))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 301 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056086-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/29362877
title: cet_slidedlms.R

description: Landmarks to run PCA and downstream analyses
DOI: 10.26180/29362877.v1
title: cet_slidedlms.R

description: Landmarks to run PCA and downstream analyses
DOI: 10.5281/zenodo.15695182
title: AKTIN - Daten zur Aufenthaltsdauer in Notaufnahmen

description: Die Belastung von Notaufnahmen hängt von verschiedenen Faktoren ab, wie z.B. der Anzahl der Patient:innen, der Schwere ihrer Fälle, der Personalsituation und der Kapazität der Intensivbetten. Die durchschnittliche Aufenthaltsdauer in der Notaufnahme kann als Indikator für die Belastungssituation herangezogen werden.
Der Datensatz "AKTIN - Daten zur Aufenthaltsdauer in Notaufnahmen" enthält aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister. Zur Erfassung der speziellen Belastungssituation während der COVID-19-Pandemie werden im vorliegenden Datensatz Daten zur durchschnittliche Aufenthaltsdauer von Patienti:innen in den Notaufnahmen bereitgestellt und mit den Werten vor der Pandemie verglichen.
DOI: 10.6084/m9.figshare.29364110
title: data

description: The data was used to explore the relationship between tree diversity and stability
DOI: 10.6084/m9.figshare.29364110.v1
title: data

description: The data was used to explore the relationship between tree diversity and stability
DOI: 10.5281/zenodo.15691104
title: The Dataset of Balancing Profit and Purpose: The Societal Implications of AI in Business - 303 Records - 2025

description: The application of artificial intelligence (AI) in business operations marks an important transformation in how companies create value, compete, and interact with society. This study examines two aspects of AI in the context of business and corporations: its ability to improve efficiency and drive innovation, and its risks of exacerbating social inequality and ethical issues. Based on recent studies, we investigate how businesses manage the conflict between profitability and social responsibility, particularly regarding workforce displacement, ethical data use, and the exclusive dangers of biased AI systems. We emphasize the variation in AI adoption across sectors, arguing that there is no universal approach to its implementation. Instead, we propose a framework highlighting the need for ethical insight, inclusive design, and strategic alignment between AI implementation and human-centered values. Ultimately, this study supports a business model where AI fulfills economic objectives and contributes meaningfully to equitable and sustainable social progress. Using a comprehensive online survey conducted with a dataset consisting of 303 participants in Indonesia (April 22-June 14) via SmartPLS4 software to test our proposed model.
DOI: 10.5281/zenodo.15691105
title: The Dataset of Balancing Profit and Purpose: The Societal Implications of AI in Business - 303 Records - 2025

description: The application of artificial intelligence (AI) in business operations marks an important transformation in how companies create value, compete, and interact with society. This study examines two aspects of AI in the context of business and corporations: its ability to improve efficiency and drive innovation, and its risks of exacerbating social inequality and ethical issues. Based on recent studies, we investigate how businesses manage the conflict between profitability and social responsibility, particularly regarding workforce displacement, ethical data use, and the exclusive dangers of biased AI systems. We emphasize the variation in AI adoption across sectors, arguing that there is no universal approach to its implementation. Instead, we propose a framework highlighting the need for ethical insight, inclusive design, and strategic alignment between AI implementation and human-centered values. Ultimately, this study supports a business model where AI fulfills economic objectives and contributes meaningfully to equitable and sustainable social progress. Using a comprehensive online survey conducted with a dataset consisting of 303 participants in Indonesia (April 22-June 14) via SmartPLS4 software to test our proposed model.
DOI: 10.26180/29362880
title: cet_theo-morph_proxydata_3.csv

description: Proxy data for analysis taken from the theoretical morphologies
DOI: 10.26180/29362880.v1
title: cet_theo-morph_proxydata_3.csv

description: Proxy data for analysis taken from the theoretical morphologies
DOI: 10.15468/dl.9qsdyp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056087-250525065834625/datasets/export for details.
DOI: 10.57892/100-258
title: E3C Hyper-reduction for hyperelasticity - Results

description: Simulation results related to paper Stephan Wulfinghoff Homogenization in hyperelasticity using Empirically Corrected Cluster Cubature (E3C) hyper-reduction Computer Methods in Applied Mechanics and Engineering 2025
DOI: 10.26180/29362883
title: PCA-grid_theo-morph_script_2.R

description: Script to create the theoretical morphologies from the cetacean morphospace
DOI: 10.26180/29362883.v1
title: PCA-grid_theo-morph_script_2.R

description: Script to create the theoretical morphologies from the cetacean morphospace
DOI: 10.15468/dl.ujefns
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira G.H.K.Thwaites, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056088-250525065834625/datasets/export for details.
DOI: 10.26180/29362886
title: Feeding adaptive landscape analysis.R

description: Script to create the adaptive landscapes and optimality landscapes
DOI: 10.26180/29362886.v1
title: Feeding adaptive landscape analysis.R

description: Script to create the adaptive landscapes and optimality landscapes
DOI: 10.15468/dl.zsra6r
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira granulata (Ehrenberg) Simonsen, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056090-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.s9r6uja6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (49 records)
DOI: 10.15468/dl.3t7e34
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira granulata (Ehrenberg) Simonsen, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056091-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12213887
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15695148
title: Calving front positions for 298 Greenland outlet glaciers (2002–2021): the most spatially extensive seasonal record and benchmark dataset for algorithm validation

description: The variations in Greenland glacier calving front positions reflect the magnitude and trends of glacier advance and retreat, and are critical for understanding ice sheet dynamics. This dataset provides the most spatially extensive and seasonally resolved record of glacier calving front positions across Greenland to date. It includes approximately 12,000 manually delineated calving front positions for 298 marine-terminating outlet glaciers, spanning the period from 2002 to 2021. The delineations were extracted from multi-source satellite imagery, including Landsat 5/7/8, Sentinel-1/2, MODIS, ENVISAT ASAR, and ERS SAR.

All calving front positions were manually digitized using standardized workflows in GEEDiT and ArcGIS, and are accompanied by detailed metadata. To assess positional accuracy, the dataset was compared to high-resolution PlanetScope imagery and selected reference products, showing offsets of approximately 40–100 meters depending on image quality and glacier front complexity.

The dataset is distributed in GeoPackage format (total size: 21.7 MB) and offers a spatially consistent, high-quality benchmark for investigating glacier dynamics, refining boundary conditions in ice sheet models, and supporting the development and validation of automated glacier front-tracking algorithms.
DOI: 10.15468/dl.khvqpt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira granulata (Ehrenberg) Simonsen, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056093-250525065834625/datasets/export for details.
DOI: 10.15468/dl.p7bh3u
title: Occurrence Download

description: A dataset containing 68971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leiothrix lutea (Scopoli, 1786)"
 ]
}

 The dataset includes 68971 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056084-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ved2df
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulacoseira granulata (Ehrenberg) Simonsen, 1979",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056094-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nsqm6r
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies ernestii Rehd., Abies faxoniana Rehd. & E.H.Wilson)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 757 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056095-250525065834625/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.29364119
title: Figures for‘Prediction of Protein--Protein Interaction based on Interaction-Specific Learning and Hierarchical Information’

description: Fig1: A schematic diagram of HI-PPI. （a） The preprocess of protein data. The heterogeneous GNN encoder is adopted to extract the latent representation in contact map of protein structure. (b) A PPI graph is constructed based on PPI network and extracted feature. The node representation of each protein is updated iteratively by hyperbolic graph convolutional layer. Subsequently, the importance of pairwise information is controlled by a gating mechanism in interaction-specific network. The resulting embedding of PPI is processed to a classifier for prediction.Fig2: Precision-recall curves of PPI prediction of SHS27K, showing the performance of HI-PPI compared to MAPE-PPI, HIGH-PPI, BaPPI, AFTGAN, LDMGNN and PIPR. (a) Under the BFS partitioning. (b) Under the DFS partitioning. The shade indicates the range between the highest and lowest results.Fig3: Robustness evaluation of HI-PPI against random perturbations with different ratios.Fig4: The performance of four advanced PPI prediction methods on PPI types of SHS27K.Fig5: The visualization of 195 proteins related in 2D hyperbolic space.
DOI: 10.6084/m9.figshare.29364119.v2
title: Figures for‘Prediction of Protein--Protein Interaction based on Interaction-Specific Learning and Hierarchical Information’

description: Fig1: A schematic diagram of HI-PPI. （a） The preprocess of protein data. The heterogeneous GNN encoder is adopted to extract the latent representation in contact map of protein structure. (b) A PPI graph is constructed based on PPI network and extracted feature. The node representation of each protein is updated iteratively by hyperbolic graph convolutional layer. Subsequently, the importance of pairwise information is controlled by a gating mechanism in interaction-specific network. The resulting embedding of PPI is processed to a classifier for prediction.Fig2: Precision-recall curves of PPI prediction of SHS27K, showing the performance of HI-PPI compared to MAPE-PPI, HIGH-PPI, BaPPI, AFTGAN, LDMGNN and PIPR. (a) Under the BFS partitioning. (b) Under the DFS partitioning. The shade indicates the range between the highest and lowest results.Fig3: Robustness evaluation of HI-PPI against random perturbations with different ratios.Fig4: The performance of four advanced PPI prediction methods on PPI types of SHS27K.Fig5: The visualization of 195 proteins related in 2D hyperbolic space.
DOI: 10.6084/m9.figshare.29364119.v1
title: Fig 1

description: A schematic diagram of HI-PPI. <b>a</b> The preprocess of protein data. The heterogeneous GNN encoder \modified{is} adopted to extract the latent representation in contact map of protein structure. <b>b</b> A PPI graph is constructed based on PPI network and extracted feature. The node representation of each protein is updated iteratively by hyperbolic graph convolutional layer. Subsequently, the importance of pairwise information is controlled by a gating mechanism in interaction-specific network. The resulting embedding of PPI is processed to a classifier for prediction.