cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pwptv5
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck",
 "Country is Benin",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1048 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020476-250717081556266/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/12530201
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.aucj8y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020477-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.29607425
title: Forecast uploaded on July 21 regarding the performance of Google stock ("Will Alphabet (Google) stock be higher on September 17, 2025, than on July 21, 2025?")

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.6084/m9.figshare.29607425.v1
title: Forecast uploaded on July 21 regarding the performance of Google stock ("Will Alphabet (Google) stock be higher on September 17, 2025, than on July 21, 2025?")

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.5281/zenodo.16254614
title: Information Technology Project Risk Management Dataset
DOI: 10.5281/zenodo.16254615
title: Information Technology Project Risk Management Dataset
DOI: 10.15468/dl.hbw3z8
title: Occurrence Download

description: A dataset containing 1768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1768 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020478-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjhed8
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1059 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020479-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jww2n
title: Occurrence Download

description: A dataset containing 4961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-125.00277 24.59034,-59.03842 24.59034,-59.03842 48.75396,-125.00277 48.75396,-125.00277 24.59034))",
 "TaxonKey is Myocastor coypus"
 ]
}

 The dataset includes 4961 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020480-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urjhmu
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 484 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020481-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16255037
title: SARS-CoV-2 Infektionen in Deutschland

description: Der vorliegende Datansatz enthält umfassende Informationen zu SARS-CoV-2-Infektionen in Deutschland, die gemäß dem Infektionsschutzgesetze (IfSG) von den Gesundheitsämtern an das Robert Koch-Institut (RKI) gemeldet wurden. Die Daten umfassen Informationen zur Anzahl der bestätigten Fälle, Todesfälle und Genesungen, aus denen sich weitere Kennzahlen im Zusammenhang mit der COVID-19-Pandemie ableiten lassen. Der Datensatz wird täglich aktualisiert und enthält detaillierte Informationen auf Landkreisebene, die nach verschiedenen Altersgruppen aufgeschlüsselt sind. Die Bereitstellung des Datensatzes soll dazu beitragen, das Verständnis der COVID-19-Pandemie in Deutschland zu verbessern und die Berichterstattung, Forschung und Analyse in diesem Bereich zu unterstützen.
DOI: 10.15468/dl.k6b9sq
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 447 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020482-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpgwc9
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020483-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acc5fz
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 199 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020484-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bve5y
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionospio malmgreni",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020485-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15709615
title: Dip-Guided Multi-Stage Transformer-Based Seismic Image Super-Resolution Network for Seismic Fault Detection under the Condition of Low Signal-to-Noise Ratios

description: The source file for review paper "Dip-Guided Multi-Stage Transformer-Based Seismic Image Super-Resolution Network for Seismic Fault Detection under the Condition of Low Signal-to-Noise Ratios"

 

Abstract:Faults are key geological structures that reveal subsurface fractures and deformation characteristics. Seismic coherence attribute analysis, as an effective fault detection method, often faces limitations in low signal-to-noise ratio (SNR) regions. To address this challenge, we propose the use of super-resolution reconstruction techniques to enhance the resolution of seismic images, thereby improving fault detection accuracy in low SNR regions. Building on this, we propose a dip-guided multi-stage Transformer-based seismic image super-resolution reconstruction network (MST-SR). This method progressively enhances seismic resolution while preserving seismic wavefield characteristics and accurately recovering key geological structures such as faults and folds. MST-SR consists of three stages. The first two stages focus on feature extraction, where a U-shaped Transformer (U-Transformer) architecture is designed to replace the conventional U-shaped convolutional network (U-Net), enabling more effective capture of global features in seismic images. The third stage is responsible for feature fusion and reconstruction, designing a progressive enhancement module to optimize cross-stage feature aggregation and mitigate feature loss. Additionally, to further improve seismic resolution enhancement performance, we design a multi-scale attention module between stages, which enhances the weighting of important geological features, effectively suppresses noise interference. Furthermore, we design a fault dip-constrained loss function to ensure accurate recovery of fault geometry. Experimental results on both synthetic and field seismic data demonstrate the superior performance of MST-SR in seismic resolution enhancement. Moreover, seismic coherence attribute analysis demonstrates that the high-resolution field data obtained by MST-SR can accurately characterize fault structures even in low SNR regions.
DOI: 10.5281/zenodo.15709616
title: Dip-Guided Multi-Stage Transformer-Based Seismic Image Super-Resolution Network for Seismic Fault Detection under the Condition of Low Signal-to-Noise Ratios

description: The source file for review paper "Dip-Guided Multi-Stage Transformer-Based Seismic Image Super-Resolution Network for Seismic Fault Detection under the Condition of Low Signal-to-Noise Ratios"

 

Abstract:Faults are key geological structures that reveal subsurface fractures and deformation characteristics. Seismic coherence attribute analysis, as an effective fault detection method, often faces limitations in low signal-to-noise ratio (SNR) regions. To address this challenge, we propose the use of super-resolution reconstruction techniques to enhance the resolution of seismic images, thereby improving fault detection accuracy in low SNR regions. Building on this, we propose a dip-guided multi-stage Transformer-based seismic image super-resolution reconstruction network (MST-SR). This method progressively enhances seismic resolution while preserving seismic wavefield characteristics and accurately recovering key geological structures such as faults and folds. MST-SR consists of three stages. The first two stages focus on feature extraction, where a U-shaped Transformer (U-Transformer) architecture is designed to replace the conventional U-shaped convolutional network (U-Net), enabling more effective capture of global features in seismic images. The third stage is responsible for feature fusion and reconstruction, designing a progressive enhancement module to optimize cross-stage feature aggregation and mitigate feature loss. Additionally, to further improve seismic resolution enhancement performance, we design a multi-scale attention module between stages, which enhances the weighting of important geological features, effectively suppresses noise interference. Furthermore, we design a fault dip-constrained loss function to ensure accurate recovery of fault geometry. Experimental results on both synthetic and field seismic data demonstrate the superior performance of MST-SR in seismic resolution enhancement. Moreover, seismic coherence attribute analysis demonstrates that the high-resolution field data obtained by MST-SR can accurately characterize fault structures even in low SNR regions.
DOI: 10.15468/dl.4956f7
title: Occurrence Download

description: A dataset containing 915 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacquinia arborea"
 ]
}

 The dataset includes 915 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020486-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k982j7
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020487-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqx9ej
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020488-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zbdtz
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is Thailand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020489-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7eqjhu
title: Occurrence Download

description: A dataset containing 3376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3376 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020490-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzajfp
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020491-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyhmfv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020492-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10694905
title: 2023 NGN - Management strategies for wheat powdery mildew in southern NSW Data

description: The 2023 NGN project “Management strategies for wheat powdery mildew in southern NSW” focused on validating cost-effective fungicide resistance management strategies for wheat powdery mildew (WPM), a disease capable of causing up to 25% yield loss in Australia. WPM is particularly problematic in western, lower-rainfall areas of NSW during wetter-than-average seasons and under irrigation, especially as many commonly grown wheat varieties are poorly resistant. The dataset includes trial results from two NSW research sites—Balldale and irrigated Hillston—and is organised by site and trial name. Excel spreadsheets contain original data and derived calculations, such as plant density, with keys to explain units and codes. A PDF report outlines the experimental design, treatment summaries, and environmental conditions affecting trial interpretation. Assessments were conducted using GDM ARM software, and each data sheet includes contextual information such as crop growth stage, assessment details, and explanatory notes. This project was supported by GRDC and made possible through the contributions of growers and partners, including FAR Australia and AgGrow Agronomy and Research.
DOI: 10.5281/zenodo.16255070
title: 2023 NGN - Management strategies for wheat powdery mildew in southern NSW Data

description: The 2023 NGN project “Management strategies for wheat powdery mildew in southern NSW” focused on validating cost-effective fungicide resistance management strategies for wheat powdery mildew (WPM), a disease capable of causing up to 25% yield loss in Australia. WPM is particularly problematic in western, lower-rainfall areas of NSW during wetter-than-average seasons and under irrigation, especially as many commonly grown wheat varieties are poorly resistant. The dataset includes trial results from two NSW research sites—Balldale and irrigated Hillston—and is organised by site and trial name. Excel spreadsheets contain original data and derived calculations, such as plant density, with keys to explain units and codes. A PDF report outlines the experimental design, treatment summaries, and environmental conditions affecting trial interpretation. Assessments were conducted using GDM ARM software, and each data sheet includes contextual information such as crop growth stage, assessment details, and explanatory notes. This project was supported by GRDC and made possible through the contributions of growers and partners, including FAR Australia and AgGrow Agronomy and Research.
DOI: 10.15468/dl.yypwn5
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020493-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzqrb2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck",
 "Country is Central African Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020494-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3j4ah
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Corydalis stricta"
 ]
}

 The dataset includes 108 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020495-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mj68m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia lebbeck",
 "Country is Chad",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020496-250717081556266/datasets/export for details.
DOI: 10.15468/dl.63xkja
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jaegeria gracilis"
 ]
}

 The dataset includes 174 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020497-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbdpcz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratina adenophora",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020498-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mj2v7n
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Corydalis adiantifolia"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020500-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmkkkp
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudopolydora kempi",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020499-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhj9gm
title: Occurrence Download

description: A dataset containing 2921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((72.88482 19.99796,72.73104 18.48427,73.52177 15.97456,74.47719 14.12937,74.79566 12.22463,75.93307 11.11074,75.84208 9.45447,77.16148 8.01552,77.98041 8.33075,78.84484 9.54422,79.29981 10.21654,79.98225 10.66397,79.93676 11.86868,80.25523 13.77614,80.52821 15.79953,81.39264 16.06203,82.75753 17.58619,86.21526 19.74123,85.53281 20.21158,85.07785 19.6984,82.62104 19.05461,80.52821 18.71023,79.75477 17.62956,78.84484 16.0183,76.97949 15.66816,75.34162 17.54281,72.88482 19.99796))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calotes versicolor"
 ]
}

 The dataset includes 2921 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020501-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16255146
title: Precipitacion 2022 IMERG
DOI: 10.5281/zenodo.16255147
title: Precipitacion 2022 IMERG
DOI: 10.15468/dl.tzh3ep
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020502-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxnw4c
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 348 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020503-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.