cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16916939
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz 'COVID-19-Hospitalisierungen' werden die aktuellen Zahlen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - erfassten hospitalisierten COVID-19-Fälle bereitgestellt.
Um den Trend der Anzahl von Hospitalisierungen und der 7-Tage-Hospitalisierungsinzidenz besser bewerten zu können, wird die berichtete Hospitalisierungsinzidenz um eine Schätzung der zu erwartenden Anzahl an verzögert berichteten Hospitalisierungen ergänzt. Neben den Daten der gemeldeten COVID-19-Hospitalisierungen auf Bundes- und Länderebene wird daher ein Nowcasting der Anzahl hospitalisierter Fälle und der 7-Tage-Hospitalisierungsinzidenz auf Bundesebene durchgeführt. Ziel ist die Schätzung der Anzahl von hospitalisierten COVID-19-Fällen mit Meldedatum innerhalb der sieben vorhergehenden Tage - inklusive der noch nicht an das RKI berichteten Hospitalisierungen. Aufbauend auf dem Nowcasting wird eine Schätzung der adjustierten 7-Tage-Hospitalisierungsinzidenz durchgeführt.
DOI: 10.17611/dp/18052009
title: Global ShakeMovie synthetic for February 22, 2020 MW 5.5 WEST CHILE RISE
DOI: 10.17611/dp/18052013
title: Global ShakeMovie synthetic for February 23, 2020 MW 5.8 TURKEY-IRAN BORDER REGION
DOI: 10.17611/dp/18052017
title: Global ShakeMovie synthetic for February 23, 2020 MW 6.0 TURKEY-IRAN BORDER REGION
DOI: 10.17611/dp/18068130
title: Global ShakeMovie synthetic for February 26, 2020 MW 6.0 TANIMBAR ISLANDS REG., INDONESIA
DOI: 10.17611/dp/18068159
title: Global ShakeMovie synthetic for February 27, 2020 MW 5.6 TALAUD ISLANDS, INDONESIA
DOI: 10.17611/dp/18068163
title: Global ShakeMovie synthetic for February 28, 2020 MW 5.8 TONGA ISLANDS REGION
DOI: 10.17611/dp/18068177
title: Global ShakeMovie synthetic for March 02, 2020 MW 5.7 ANDREANOF ISLANDS, ALEUTIAN IS.
DOI: 10.17611/dp/18075041
title: Global ShakeMovie synthetic for March 05, 2020 MW 5.5 LA RIOJA PROVINCE, ARGENTINA
DOI: 10.17611/dp/18075045
title: Global ShakeMovie synthetic for March 05, 2020 MW 5.3 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18076431
title: Global ShakeMovie synthetic for March 06, 2020 MW 6.0 SOUTHWEST INDIAN RIDGE
DOI: 10.17611/dp/18076435
title: Global ShakeMovie synthetic for March 07, 2020 MW 5.6 GULF OF CALIFORNIA
DOI: 10.17611/dp/18076439
title: Global ShakeMovie synthetic for March 07, 2020 MW 5.6 VANUATU ISLANDS
DOI: 10.17611/dp/18076443
title: Global ShakeMovie synthetic for March 09, 2020 MW 5.9 OFF COAST OF NORTHERN CALIFORNIA
DOI: 10.17611/dp/18076447
title: Global ShakeMovie synthetic for March 10, 2020 MW 5.5 GALAPAGOS ISLANDS REGION
DOI: 10.17611/dp/18076451
title: Global ShakeMovie synthetic for March 10, 2020 MW 5.7 SOUTHWEST OF SUMATRA, INDONESIA
DOI: 10.17611/dp/18091604
title: Global ShakeMovie synthetic for March 12, 2020 MW 5.5 TONGA ISLANDS REGION
DOI: 10.17611/dp/18091608
title: Global ShakeMovie synthetic for March 12, 2020 MW 5.5 XIZANG
DOI: 10.17611/dp/18092362
title: Global ShakeMovie synthetic for March 14, 2020 MW 6.4 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18094768
title: Global ShakeMovie synthetic for March 16, 2020 MW 5.2 REYKJANES RIDGE
DOI: 10.17611/dp/18095789
title: Global ShakeMovie synthetic for March 17, 2020 MW 5.6 NEAR COAST OF CENTRAL CHILE
DOI: 10.17611/dp/18096553
title: Global ShakeMovie synthetic for March 18, 2020 MW 6.1 VANUATU ISLANDS
DOI: 10.17611/dp/18096557
title: Global ShakeMovie synthetic for March 18, 2020 MW 5.5 SANTA CRUZ ISLANDS REGION
DOI: 10.17611/dp/18096561
title: Global ShakeMovie synthetic for March 18, 2020 MW 5.6 UTAH
DOI: 10.17632/jbvwtyfj25
title: Stakeholder prioritization in higher education accreditation: A multi-criteria analysis using AHP

description: Stakeholder prioritization in higher education accreditation: A multi-criteria analysis using AHP
DOI: 10.17632/jbvwtyfj25.1
title: Stakeholder prioritization in higher education accreditation: A multi-criteria analysis using AHP

description: Stakeholder prioritization in higher education accreditation: A multi-criteria analysis using AHP
DOI: 10.17632/c46x2trtwd
title: ITQ_CA_Validation

description: This data was used in the Portuguese validation of the International Trauma Questionnaire Child and Adolescent version with children at risk.
DOI: 10.17632/c46x2trtwd.1
title: ITQ_CA_Validation

description: This data was used in the Portuguese validation of the International Trauma Questionnaire Child and Adolescent version with children at risk.
DOI: 10.15468/dl.sftffq
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudocrenilabrus philander (Weber, 1897)",
 "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 ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 186 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021808-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yhvhbjv9k8.1
title: MMS Calculations (Final)

description: Supplemental data excel document
DOI: 10.17632/yhvhbjv9k8
title: MMS Calculations (Final)

description: Supplemental data excel document
DOI: 10.17632/yhvhbjv9k8.2
title: MMS Calculations (Final)

description: Supplemental data excel document
DOI: 10.17632/xd8659jj9z.1
title: Lamb Survival Dataset

description: Dataset used for lamb survival and death reason analysis
DOI: 10.17632/sdpznvd38d.1
title: AI in Plant Pathology: A Chrysanthemum Leaf Disease Dataset Approach

description: 1. The Significance of Chrysanthemums leaf in Horticulture and Disease Challenges In the horticulture sector, Chrysanthemums are highly valued for their aesthetic appeal as well as their economic worth. However, a number of illnesses that can seriously impair plant health and productivity frequently make it difficult to cultivate these plants. To lessen these risks, leaf diseases must be identified promptly and accurately. The Chrysanthemums leaf disease dataset was created expressly to help horticulturists, researchers, and machine learning experts identify and categorize illnesses that impact Chrysanthemums leaves in order to meet this demand. This dataset includes high-resolution photos of Chrysanthemums leaves that show both disease-free and healthy specimens. Among the important illnesses mentioned are Bacterial leaf and Septoria Leaf Spot. Precise model training and validation are made possible by the thorough annotation of every image, which includes specifics about the nature and severity of the disease. The collection is further enhanced with metadata, which offers important background information about the locations and weather at the time of picture acquisition. Contextual information is essential for comprehending the variables influencing the occurrence of disease and improves the precision of prediction models. 
2. The Role of Deep Learning and Computer Vision the Chrysanthemums Disease Dataset has a plethora of opportunities for classification and detection tasks that can be addressed by modern deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in Chrysanthemums Disease Classification This dataset was created especially to aid in the creation of sophisticated deep learning models. To ensure accuracy and relevance, the dataset's classifications were developed in conjunction with subject matter specialists from a leading agricultural institute. 
4. Data Collection a total of 2700 images were taken at the Shamsher nagar demonstration location in Moulvibazar, Bangladesh. These photos included instances of Bacterial leaf, Septoria Leaf Spot, and Healthy leaves. From the original collection of images, 2700 augmented images were created in order to improve the dataset and expand the amount of data points that were available. These augmented samples were made by applying several techniques like flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.17632/yr69v4x52k
title: Composition Dependent Creep Resistance and Strain Rate Sensitivity in bcc Mg-Sc Alloy via Nano-indentation on Diffusion Couple

description: The data of “Composition Dependent Creep Resistance and Strain Rate Sensitivity in bcc Mg-Sc Alloy via Nano-indentation on Diffusion Couple”
DOI: 10.17632/yr69v4x52k.1
title: Composition Dependent Creep Resistance and Strain Rate Sensitivity in bcc Mg-Sc Alloy via Nano-indentation on Diffusion Couple

description: The data of “Composition Dependent Creep Resistance and Strain Rate Sensitivity in bcc Mg-Sc Alloy via Nano-indentation on Diffusion Couple”
DOI: 10.15468/dl.wn4xgb
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva parviflora",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025564-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66jt5q
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva parviflora",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 98 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025565-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk6fd9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "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 ((17.949 -34.5253,17.9648 -34.5378,17.9648 -34.1504,17.8905 -34.1504,17.949 -34.5253))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010509-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.18427315
title: fb15k_wn18
DOI: 10.5281/zenodo.18427316
title: fb15k_wn18
DOI: 10.6084/m9.figshare.31146514.v1
title: Role of Fragility of the Glass Formers in the Yielding Transition under Oscillatory Shear

description: Simulation data for "Role of Fragility of the Glass Formers in the Yielding Transition under Oscillatory Shear". A read_me_data.txt file is also provided for easy understanding of the scripts and data.
DOI: 10.5281/zenodo.18427401
title: Dataset for Manuscript In vivo Differential Effects of SARS-CoV-2 Variants on Molecular Signatures of Mitochondrial Dysfunction in the Lung

description: Dataset
DOI: 10.5281/zenodo.18427402
title: Dataset for Manuscript In vivo Differential Effects of SARS-CoV-2 Variants on Molecular Signatures of Mitochondrial Dysfunction in the Lung

description: Dataset
DOI: 10.6084/m9.figshare.31201066
title: SRH(Sexual and reproductive health study)

description: SRH study <b>Effect of Reproductive and Sexual Health Education on Knowledge Among School-Going Adolescents: A Pre-Post Interventional Study</b>
DOI: 10.6084/m9.figshare.31201066.v1
title: SRH(Sexual and reproductive health study)

description: SRH study <b>Effect of Reproductive and Sexual Health Education on Knowledge Among School-Going Adolescents: A Pre-Post Interventional Study</b>
DOI: 10.15468/dl.meh843
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euclidium syriacum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 673 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001454-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qz4g4g
title: Occurrence Download

description: A dataset containing 17309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera leo"
 ]
}

 The dataset includes 17309 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001455-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18425499
title: SuperDARN data in netCDF format (2008-Apr)

description: 2008-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6580442
title: SuperDARN data in netCDF format (2008-Apr)

description: 2008-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.3gua32
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "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 ((40.3006 -16.7147,40.6365 -16.1504,35.9648 -16.1504,35.9648 -19.5556,36.0796 -19.4498,36.663 -19.2358,37.5966 -18.1093,38.5624 -17.638,39.3949 -17.5133,39.577 -17.186,40.3006 -16.7147))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010533-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qtd7k
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caragana arborescens",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 114 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049948-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xht3xh
title: Occurrence Download

description: A dataset containing 199895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "DatasetKey is one of (Herbarium Berolinense, Berlin (B), Herbarium Willing at Herbarium Berolinense, Berlin (B))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 199895 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049927-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmhdt8
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caragana arborescens",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 380 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049947-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etq4tn
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Tamarix canariensis"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049950-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58053/mapbiomas/nkkjlw
title: MapBiomas General “Handbook” - Algorithm Theoretical Basis Document (ATBD) - Collection 10 - Agriculture Module - Appendix

description: This appendix details the methods used for the Collection 10 of products from the MapBiomas’ Agriculture module. This document is divided into the following structure: a) Irrigation Systems - description of the classification methods for the irrigated agriculture classes included in the “Irrigation Systems” map; b) Number of Cycles - description of the methods for the “Number of Cycles” maps. Currently in its beta version; c) Land Use Land Cover | Second Season - Description of the methods for the Second Season map.
DOI: 10.5281/zenodo.18423422
title: Emergency Obstetric Care Access Deprivation Modelled Dataset in Peiera, Colombia

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps the degree of access deprivation to Emergency Obstetric Care. It is a spatial representation of how women of childbearing age (16-49 years) can reach, choose and receive obstetric care during an emergency. In particular, the model aims to depict how these access might impact women during the critical interpartum and delivery phases. These phases have been prioritised considering community priorities and the high levels of maternal mortality in the study areas.
DOI: 10.5281/zenodo.18423421
title: Emergency Obstetric Care Access Deprivation Modelled Dataset in Peiera, Colombia

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps the degree of access deprivation to Emergency Obstetric Care. It is a spatial representation of how women of childbearing age (16-49 years) can reach, choose and receive obstetric care during an emergency. In particular, the model aims to depict how these access might impact women during the critical interpartum and delivery phases. These phases have been prioritised considering community priorities and the high levels of maternal mortality in the study areas.
DOI: 10.15468/dl.ex3dph
title: Occurrence Download

description: A dataset containing 1124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia seguieriana)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008010-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3t2f4
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Huberia bradeana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 63 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008011-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bkbjv
title: Occurrence Download

description: A dataset containing 95649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens capensis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 95649 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007970-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18459393
title: "Reading Between the Code Lines" Dataset and Survey Data

description: Replication package of the paper "Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis" by Díaz Ferreyra et al.
DOI: 10.5281/zenodo.18460401
title: "Reading Between the Code Lines" Dataset and Survey Data

description: Replication package of the paper "Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis" by Díaz Ferreyra et al.