cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18382399
title: Imidacloprid alters activity and responses to a visual predator stimulus in Aussie bronze jumping spiders (Helpis minitabunda, Araneae, Salticidae).

description: Neonicotinoid insecticides can have lethal and sublethal effects on non-target organisms. Sublethal effects may include disrupted motor function, which can be particularly detrimental to active visual hunters like jumping spiders (Salticidae) when searching for prey or mates, or when evading predators. In this study, we tested whether acute exposure to field-recommended concentrations of imidacloprid affects exploration activity, climbing performance or response to visual predator cues in the jumping spider Helpis minitabunda. Insecticide exposure reduced the exploration area, distance travelled, and time spent moving by spiders in an open arena, and also slowed their climbing speed. Responses to a visual predator stimulus were assessed in two phases: initial detection and subsequent response. Insecticide exposure did not affect initial detection, but did reduce subsequent responses of spiders to the stimulus on a video display. Further, the effects of insecticide exposure varied with body condition, with decreased climbing performance in individuals with low body condition compared to individuals with high body condition after exposure. Insecticide exposure also eliminated the positive correlation between body condition and response to the visual predator stimulus shown by control spiders. Spiders showed signs of recovery in their open arena activity and climbing performance when tested again seven days after insecticide exposure. Overall, acute exposure to field-recommended concentrations of imidacloprid compromised the locomotory performance and antipredator response in H. minitabunda. Our study demonstrates that imidacloprid can have large, sublethal effects on the behaviours critical to ecological function of an important arthropod predator.
DOI: 10.5281/zenodo.18382398
title: Imidacloprid alters activity and responses to a visual predator stimulus in Aussie bronze jumping spiders (Helpis minitabunda, Araneae, Salticidae).

description: Neonicotinoid insecticides can have lethal and sublethal effects on non-target organisms. Sublethal effects may include disrupted motor function, which can be particularly detrimental to active visual hunters like jumping spiders (Salticidae) when searching for prey or mates, or when evading predators. In this study, we tested whether acute exposure to field-recommended concentrations of imidacloprid affects exploration activity, climbing performance or response to visual predator cues in the jumping spider Helpis minitabunda. Insecticide exposure reduced the exploration area, distance travelled, and time spent moving by spiders in an open arena, and also slowed their climbing speed. Responses to a visual predator stimulus were assessed in two phases: initial detection and subsequent response. Insecticide exposure did not affect initial detection, but did reduce subsequent responses of spiders to the stimulus on a video display. Further, the effects of insecticide exposure varied with body condition, with decreased climbing performance in individuals with low body condition compared to individuals with high body condition after exposure. Insecticide exposure also eliminated the positive correlation between body condition and response to the visual predator stimulus shown by control spiders. Spiders showed signs of recovery in their open arena activity and climbing performance when tested again seven days after insecticide exposure. Overall, acute exposure to field-recommended concentrations of imidacloprid compromised the locomotory performance and antipredator response in H. minitabunda. Our study demonstrates that imidacloprid can have large, sublethal effects on the behaviours critical to ecological function of an important arthropod predator.
DOI: 10.15468/dl.2753xb
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia chebula",
 "Year 2000-2026"
 ]
}

 The dataset includes 321 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002582-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6xn6q
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia chebula",
 "Year 2000-2026"
 ]
}

 The dataset includes 321 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002583-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjymc9
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Bothriospermum chinense"
 ]
}

 The dataset includes 303 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002584-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18779214
title: An Intelligent Scheduling Framework for AI-driven Geographic Simulation in Distributed Heterogeneous Environments Experiment Data and Results

description: These files are the model input data and experimental results of the manuscript entitled "An Intelligent Scheduling Framework for AI-driven Geographic Simulation in Distributed Heterogeneous Environment" submitted to GIScience&remote sensing.

The "UrbanM2M_model_input_data.zip"  is the input data of urbanM2M model, which includes the input data of three research areas around Taihu Lake, Suzhou and Kunshan; The "UrbanVCA_model_input_data.zip" is the input data of urbanVCA model, which includes the input data of two research areas around Shunde and Shanghua; The "Vision-LSTM_model_input_data.zip" is the input data of Vision-LSTM model, which includes 289, 578 and 1186 test data of different quantities.

The "Comparative analysis of task allocation and execution performance for eight geo-simulation tasks between current and AI scheduling strategies.xlsx" is the result data of Experiment 1 "Decision Process Analysis for Individual Task"; The "Comparative performance analysis of task throughput, success rates, and total runtimes under current static and AI dynamic scheduling strategies for three different geo-simulation models.xlsx" is the result data of Experiment 2 "Performance Comparison under Equal Task Volumes"; The "Comparison of task execution outcomes and scheduling stability under current static scheduling strategy and AI dynamic scheduling strategy over 4 hours.xlsx" is the result data of Experiment 3 "Throughput Evaluation within Equal Time Frames".

The data shall not be transmitted or used without the consent of the author.
DOI: 10.5281/zenodo.18779213
title: An Intelligent Scheduling Framework for AI-driven Geographic Simulation in Distributed Heterogeneous Environments Experiment Data and Results

description: These files are the model input data and experimental results of the manuscript entitled "An Intelligent Scheduling Framework for AI-driven Geographic Simulation in Distributed Heterogeneous Environment" submitted to GIScience&remote sensing.

The "UrbanM2M_model_input_data.zip"  is the input data of urbanM2M model, which includes the input data of three research areas around Taihu Lake, Suzhou and Kunshan; The "UrbanVCA_model_input_data.zip" is the input data of urbanVCA model, which includes the input data of two research areas around Shunde and Shanghua; The "Vision-LSTM_model_input_data.zip" is the input data of Vision-LSTM model, which includes 289, 578 and 1186 test data of different quantities.

The "Comparative analysis of task allocation and execution performance for eight geo-simulation tasks between current and AI scheduling strategies.xlsx" is the result data of Experiment 1 "Decision Process Analysis for Individual Task"; The "Comparative performance analysis of task throughput, success rates, and total runtimes under current static and AI dynamic scheduling strategies for three different geo-simulation models.xlsx" is the result data of Experiment 2 "Performance Comparison under Equal Task Volumes"; The "Comparison of task execution outcomes and scheduling stability under current static scheduling strategy and AI dynamic scheduling strategy over 4 hours.xlsx" is the result data of Experiment 3 "Throughput Evaluation within Equal Time Frames".

The data shall not be transmitted or used without the consent of the author.
DOI: 10.5281/zenodo.18780596
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.15468/dl.2dy56c
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Diretmus argenteus"
 ]
}

 The dataset includes 37 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002585-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7bseg
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia chebula",
 "Year 2000-2026"
 ]
}

 The dataset includes 321 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002588-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wabc7
title: Occurrence Download

description: A dataset containing 17622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alternanthera sessilis"
 ]
}

 The dataset includes 17622 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002587-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg6tpg
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Grossulariaceae"
 ]
}

 The dataset includes 55 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq38d8
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Selenidera reinwardtii",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 856 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002594-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44uv6c
title: Occurrence Download

description: A dataset containing 1713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia arjuna",
 "Year 2000-2026"
 ]
}

 The dataset includes 1713 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002589-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqkzp4
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Saxifragaceae"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002595-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sc87e
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Crassulaceae"
 ]
}

 The dataset includes 150 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002596-260225131425191/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/14965872
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18780390
title: EGRET data

description: Contains performance metrics and data generated from EGRET models in 49 GTEx tissues.
description: EGRET results sumstats contains model performance including cis R2, trans R2, and genome-wide R2 for all genes assessed.

EGRET-TWAS associations contains summary statistics for all genes with significant performance (R2 p < 0.01) for all tissues across 78 complex traits and diseases.

EGRET trans-regulators contains the likely up-stream genes regulating downstream trans-heritable genes.

EGRET grn modules contains modules created by the afformentioned trans-regulators identified.

EGRET module associations are summary statistics showing the average EGRET and FUSION TWAS z scores for gene modules for the 78 complex traits and diseases assessed.

EGRET models contains model weights for 49 GTEx tissues stored in RData format.
DOI: 10.5281/zenodo.18718580
title: EGRET data

description: Contains performance metrics and data generated from EGRET models in 49 GTEx tissues.
description: EGRET results sumstats contains model performance including cis R2, trans R2, and genome-wide R2 for all genes assessed.

EGRET-TWAS associations contains summary statistics for all genes with significant performance (R2 p < 0.01) for all tissues across 78 complex traits and diseases.

EGRET trans-regulators contains the likely up-stream genes regulating downstream trans-heritable genes.

EGRET grn modules contains modules created by the afformentioned trans-regulators identified.

EGRET module associations are summary statistics showing the average EGRET and FUSION TWAS z scores for gene modules for the 78 complex traits and diseases assessed.

EGRET models contains model weights for 49 GTEx tissues stored in RData format.
DOI: 10.15468/dl.f6s9hg
title: Occurrence Download

description: A dataset containing 132806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Syzygium"
 ]
}

 The dataset includes 132806 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002505-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a0utzs
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004582-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjberb
title: Occurrence Download

description: A dataset containing 496397285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 496397285 records from 11789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004582-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/mwrv-2712
title: " Malayalam Sign Language  Character  Dataset(MSLCD)"

description: "This dataset contains 15 characters from the uniform Indian Sign Language (ISL) Alphabet in Malayalam, developed by the National Institute of Speech and Hearing (NISH) in Thiruvananthapuram, in collaboration with the All Kerala Association of the Deaf, and released on September 29, 2021. The dataset comprises both static and dynamic signs, representing a subset of Malayalam vowels and consonants, which were captured to support sign language recognition and accessibility for the deaf community in Kerala. It aims to facilitate research, development of real-time recognition systems, and educational tools, aligning with NISH\u2019s efforts to incorporate standardised fingerspelling into the curriculum for hearing-impaired students, with support from the State Council of Educational Research and Training "
DOI: 10.15156/bio/sh1411935.10fu
title: SH1411935.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411937.10fu
title: SH1411937.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411939.10fu
title: SH1411939.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411941.10fu
title: SH1411941.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.