cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/29848037
title: Data from: "Genome report - chromosome-scale genome assembly of the Olive fly Bactrocera oleae (Diptera-Tephritidae)"

description: The olive fruit fly, <i>Bactrocera oleae </i>(Rossi) (Diptera: Tephritidae), is a specialist of fruits of the genus <i>Olea</i> and is a major pest of commercial olives due to their adverse impacts to olive production. In support of genomic and physiological research of the olive fly, we sequenced, assembled, and annotated two independent genomes, one from a wild-collected male and one from a wild-collected female. The resulting genomes are highly contiguous, collinear, and complete, attesting to the accuracy and quality of both assemblies. In addition to the autosomes captured as single contigs, the X and Y chromosomes were also captured as evidenced by the X chromosome showing diploid coverage in the female assembly compared to haploid coverage in the male assembly and the Y chromosome being entirely absent from the female assembly. In addition, a complete genome assembly of a known obligate symbiont to the olive fly, <i>Candidatus Erwinia dacicola (</i><i>Ca. E. dacicola)</i>, was fully captured.Dataset includes scripts used in the assembly of the <i>Bactrocera oleae </i>genomes and the obligate symbiont <i>Candidatus Erwinia dacicola</i> genome. It can be used to replicate the steps necessary to assemble the male and female genomes described in National Center for Biotechnology Information (NCBI) BioProject: PRJNA1089778 and PRJNA1275571, male and female, respectively. It can also be used to replicate the steps to assemble the symbiont genome described in National Center for Biotechnology Information (NCBI) BioProject: PRJNA1090968. The olive fruit fly genome assembly workflow was performed on the United States Department of Agriculture (USDA) - SCINet/Mississippi State University High Performance Computing Cluster (HPC) Atlas and installed via Conda. The <i>Ca. E. dacicola</i> genome assembly workflow was performed on the United States Department of Agriculture (USDA) – SCINet (HPC) Ceres and installed via Conda.
DOI: 10.15482/usda.adc/29848037.v1
title: Data from: "Genome report - chromosome-scale genome assembly of the Olive fly Bactrocera oleae (Diptera-Tephritidae)"

description: The olive fruit fly, <i>Bactrocera oleae </i>(Rossi) (Diptera: Tephritidae), is a specialist of fruits of the genus <i>Olea</i> and is a major pest of commercial olives due to their adverse impacts to olive production. In support of genomic and physiological research of the olive fly, we sequenced, assembled, and annotated two independent genomes, one from a wild-collected male and one from a wild-collected female. The resulting genomes are highly contiguous, collinear, and complete, attesting to the accuracy and quality of both assemblies. In addition to the autosomes captured as single contigs, the X and Y chromosomes were also captured as evidenced by the X chromosome showing diploid coverage in the female assembly compared to haploid coverage in the male assembly and the Y chromosome being entirely absent from the female assembly. In addition, a complete genome assembly of a known obligate symbiont to the olive fly, <i>Candidatus Erwinia dacicola (</i><i>Ca. E. dacicola)</i>, was fully captured.Dataset includes scripts used in the assembly of the <i>Bactrocera oleae </i>genomes and the obligate symbiont <i>Candidatus Erwinia dacicola</i> genome. It can be used to replicate the steps necessary to assemble the male and female genomes described in National Center for Biotechnology Information (NCBI) BioProject: PRJNA1089778 and PRJNA1275571, male and female, respectively. It can also be used to replicate the steps to assemble the symbiont genome described in National Center for Biotechnology Information (NCBI) BioProject: PRJNA1090968. The olive fruit fly genome assembly workflow was performed on the United States Department of Agriculture (USDA) - SCINet/Mississippi State University High Performance Computing Cluster (HPC) Atlas and installed via Conda. The <i>Ca. E. dacicola</i> genome assembly workflow was performed on the United States Department of Agriculture (USDA) – SCINet (HPC) Ceres and installed via Conda.
DOI: 10.15468/dl.jum4nc
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Jubaea chilensis"
 ]
}

 The dataset includes 1716 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001474-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etypsm
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panulirus ornatus"
 ]
}

 The dataset includes 1235 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001475-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/29251787
title: Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring

description: Managing beetles that infest stored products is crucial for reducing losses in harvest supply chains and improving food security and safety. Successful pest management programs require effective and timely monitoring programs, but traditional methods for detecting pests are time- and labor-intensive and require taxonomic expertise. New, automated methods using computer vision have the potential to improve accuracy and speed of detection, but often struggle to differentiate between beetle species, which tend to be small and morphologically similar. Our research centers on five economically significant beetle species, referred to as the 'Beetle Byte Quintet,' and proposes a novel methodology leveraging Vision Transformers (ViT) to enhance the precision and robustness of their classification. The method involves using an image profiling technique to capture morphological characteristics like body shape, color and exoskeleton structures that are key for distinguishing between species. By utilizing this species profiling, the ViT model achieved an accuracy rate of over 99.34% during training and 96.57% during testing. These findings highlight the model’s ability to generalize and maintain precision with new unseen data surpassing traditional computer vision algorithms significantly. The integration of ViT can help enable real time monitoring and is adaptable to a range of pest monitoring solutions for large scale storage settings which addresses the complexities of environments. This AI driven approach not only simplifies species identification but also promotes accurate and targeted pest control practices leading to reduced economic losses and improved food security.A subsample of images used in the model are included here for <i>Rhyzopertha dominica</i> (lesser grain borer), <i>Sitophilus zeamais</i> (maize weevil), <i>Tribolium castaneum</i> (red flour beetle), <i>Cryptolestes ferrugineus</i> (rusty grain beetle), and <i>Oryzaephilus surinamensis</i> (sawtoothed grain beetle). Custom MatLab code and a data descriptor README are also included.
DOI: 10.15482/usda.adc/29251787.v1
title: Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring

description: Managing beetles that infest stored products is crucial for reducing losses in harvest supply chains and improving food security and safety. Successful pest management programs require effective and timely monitoring programs, but traditional methods for detecting pests are time- and labor-intensive and require taxonomic expertise. New, automated methods using computer vision have the potential to improve accuracy and speed of detection, but often struggle to differentiate between beetle species, which tend to be small and morphologically similar. Our research centers on five economically significant beetle species, referred to as the 'Beetle Byte Quintet,' and proposes a novel methodology leveraging Vision Transformers (ViT) to enhance the precision and robustness of their classification. The method involves using an image profiling technique to capture morphological characteristics like body shape, color and exoskeleton structures that are key for distinguishing between species. By utilizing this species profiling, the ViT model achieved an accuracy rate of over 99.34% during training and 96.57% during testing. These findings highlight the model’s ability to generalize and maintain precision with new unseen data surpassing traditional computer vision algorithms significantly. The integration of ViT can help enable real time monitoring and is adaptable to a range of pest monitoring solutions for large scale storage settings which addresses the complexities of environments. This AI driven approach not only simplifies species identification but also promotes accurate and targeted pest control practices leading to reduced economic losses and improved food security.A subsample of images used in the model are included here for <i>Rhyzopertha dominica</i> (lesser grain borer), <i>Sitophilus zeamais</i> (maize weevil), <i>Tribolium castaneum</i> (red flour beetle), <i>Cryptolestes ferrugineus</i> (rusty grain beetle), and <i>Oryzaephilus surinamensis</i> (sawtoothed grain beetle). Custom MatLab code and a data descriptor README are also included.
DOI: 10.15468/dl.vxhjwj
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Epictia goudotii"
 ]
}

 The dataset includes 190 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001477-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6erdxf
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Jubaea chilensis"
 ]
}

 The dataset includes 1716 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001478-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hcupn
title: Occurrence Download

description: A dataset containing 1256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Tapirus terrestris",
 "Year 2015-2025"
 ]
}

 The dataset includes 1256 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001479-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hmyaq
title: Occurrence Download

description: A dataset containing 8895058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 8895058 records from 715 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001472-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzku4m
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Epictia magnamaculata"
 ]
}

 The dataset includes 61 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001480-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muc4jg
title: Occurrence Download

description: A dataset containing 9140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 9140 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001481-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x52pk
title: Occurrence Download

description: A dataset containing 166389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athene brama (Temminck, 1821)"
 ]
}

 The dataset includes 166389 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006957-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5727p
title: Occurrence Download

description: A dataset containing 4275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Leptodactylus fragilis (Brocchi, 1877))"
 ]
}

 The dataset includes 4275 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003662-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q9n5y
title: Occurrence Download

description: A dataset containing 228936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Year is 1996"
 ]
}

 The dataset includes 228936 records from 749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003661-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtqgsm
title: Occurrence Download

description: A dataset containing 8123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taeniothrips inconsequens (Uzel, 1895)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8123 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009038-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5p7e3
title: Occurrence Download

description: A dataset containing 4881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetropium fuscum (Fabricius, 1787)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4881 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009039-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.368xe3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "ScientificName" : [
 "is Picumnus lafresnayi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009040-250515123054153/datasets/export for details.
DOI: 10.21242/22421.2023.00.00.1.1.0
title: Statistik über die Empfänger von Pflegeleistungen 2023, On-Site, Version 0

description: Die Pflegestatistik ist eine seit dem Berichtsjahr 1999 in zweijährigem Abstand durchgeführte Totalerhebung und gliedert sich in die Statistiken über ambulante Pflegeeinrichtungen und teil- und vollstationäre Pflegeeinrichtungen sowie die Statistik über die Empfänger von Pflegeleistungen. Befragt werden Pflegeeinrichtungen bzw. die Spitzenverbände der gesetzlichen Pflegekassen und der Verband der privaten Kranken- bzw. Pflegeversicherung.
Diese Daten erlauben es, Nachfrage und Entwicklungen in der pflegerischen Versorgung zu erkennen und dienen somit als Planungsgrundlage der pflegerischen Versorgungsstruktur aber auch der Fortentwicklung des Pflegeversicherungsgesetzes. Wissenschaftliche Fragestellungen beispielsweise über die relevanten Einflüsse auf das Preisniveau von Pflegeheimen oder die Entwicklung der Pflegebedürftigkeit können regional differenziert untersucht werden.
Zu den Pflegebedürftigen werden Angaben über Geschlecht, Geburtsjahr und Grad der Pflegebedürftigkeit (Pflegegrad) erhoben.
Die ambulanten Pflegeeinrichtungen bieten zusätzlich Informationen über die Art des Pflegedienstes, deren Trägerschaft sowie die im Pflegedienst tätigen Personen nach Geschlecht, Beschäftigungsverhältnis, Tätigkeitsbereich und Berufabschluss, die ausschließlich Leistungen nach SGB XI erbringen.
Die stationären Pflegeeinrichtungen liefern außerdem Informationen über die Art des Pflegeheimes, Zahl der verfügbaren Pflegeplätze, die Art der in Anspruch genommenen Pflegeleistungen und das an die Pflegeeinrichtung zu zahlende Entgelt für die Pflegeleistung und für die Unterkunft und Verpflegung nach Pflegegraden.
Ein hoher Anteil von Pflegebedürftigen wird weder ambulant noch stationär betreut. Daher werden in der Statistik über die Empfänger von Pflegegeldleistungen Angaben über die häusliche Pflege erhoben.
DOI: 10.5063/f1vh5m9r
title: Impact of forest to savanna land management strategies on soil organic carbon concentration and functional fungal groups in southeast Oklahoma (2012-2021)

description: This data set contains the PLFA, water-stable macroaggregate, soil carbon, soil texture, and some soil element data. These data were used in combination with previously published data to examine the effects of land conversion from forest to savanna on soil organic carbon concentration and functional fungal communities.
DOI: 10.3886/e231487
title: Replication data for: Can War Foster Cooperation?

description: In the past decade, nearly 20 studies have found a strong, persistent pattern in surveys and behavioral experiments from over 40 countries: individual exposure to war violence tends to increase social cooperation at the local level, including community participation and prosocial behavior. Thus while war has many negative legacies for individuals and societies, it appears to leave a positive legacy in terms of local cooperation and civic engagement. We discuss, synthesize, and reanalyze the emerging body of evidence and weigh alternative explanations. There is some indication that war violence enhances in-group or "parochial" norms and preferences especially, a finding that, if true, suggests that the rising social cohesion we document need not promote broader peace.
DOI: 10.3886/e231487v1
title: Replication data for: Can War Foster Cooperation?

description: In the past decade, nearly 20 studies have found a strong, persistent pattern in surveys and behavioral experiments from over 40 countries: individual exposure to war violence tends to increase social cooperation at the local level, including community participation and prosocial behavior. Thus while war has many negative legacies for individuals and societies, it appears to leave a positive legacy in terms of local cooperation and civic engagement. We discuss, synthesize, and reanalyze the emerging body of evidence and weigh alternative explanations. There is some indication that war violence enhances in-group or "parochial" norms and preferences especially, a finding that, if true, suggests that the rising social cohesion we document need not promote broader peace.
DOI: 10.5281/zenodo.15555232
title: Online Resources

description: The following material is provided as a resource to facilitate the submission and subsequent publication of a Scoping Review of Trends in Predictive Uncertainty in Hydrological Forecasting.
DOI: 10.5281/zenodo.15555233
title: Online Resources

description: The following material is provided as a resource to facilitate the submission and subsequent publication of a Scoping Review of Trends in Predictive Uncertainty in Hydrological Forecasting.
DOI: 10.15468/dl.dkp5qt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rottboellia cochinchinensis (Lour.) Clayton",
 "Country is Liberia"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009607-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15486829
title: Global Urbanization Point Dataset

description: Here, the Global Urbanization Point Dataset is presented. 

This dataset compiles 101 points of urbanization and 99 points with no land cover change, all collected from locations around the world. It was created using Google Earth Pro by recording the year when urbanization occurred (i.e., when building construction was completed) and the land cover types before and after that year. The observation period for identifying urbanization and stability of land cover spans from 2000 to 2020. Here, we define "urban" as artificial surfaces, such as buildings, roads, and other impervious structures made of concrete and asphalt.

 

 

The following table summarizes the variables included in the "sample_points_change.csv."




Varible
Description




X

Longitude


Y
Latitude


year
The year urbanization occurred 


land_cover
Land cover type before urbanization occurred:Agri(1),Grassland(2),Forest(3),Bareland(4)




 

The following table summarizes the variables included in the "sample_points_nochange.csv."




Varible
Description




X

Longitude


Y
Latitude


land_cover




Stable land cover between 2000 and 2020:Urban(0),Agri(1),Grassland(2),Forest(3),Bareland(4),Water(5)
DOI: 10.5281/zenodo.15486830
title: Global Urbanization Point Dataset

description: Here, the Global Urbanization Point Dataset is presented. 

This dataset compiles 101 points of urbanization and 99 points with no land cover change, all collected from locations around the world. It was created using Google Earth Pro by recording the year when urbanization occurred (i.e., when building construction was completed) and the land cover types before and after that year. The observation period for identifying urbanization and stability of land cover spans from 2000 to 2020. Here, we define "urban" as artificial surfaces, such as buildings, roads, and other impervious structures made of concrete and asphalt.

 

 

The following table summarizes the variables included in the "sample_points_change.csv."




Varible
Description




X

Longitude


Y
Latitude


year
The year urbanization occurred 


land_cover
Land cover type before urbanization occurred:Agri(1),Grassland(2),Forest(3),Bareland(4)




 

The following table summarizes the variables included in the "sample_points_nochange.csv."




Varible
Description




X

Longitude


Y
Latitude


land_cover




Stable land cover between 2000 and 2020:Urban(0),Agri(1),Grassland(2),Forest(3),Bareland(4),Water(5)
DOI: 10.15468/dl.kaks35
title: Occurrence Download

description: A dataset containing 1005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "TaxonKey is Orchis coriophora L."
 ]
}

 The dataset includes 1005 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013487-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.