cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10822063
title: Dataset for article entitled "Genome sequencing, phylogenomics, and population analyses of Tilletia, with recognition of one common bunt species, T. caries (synonym T. laevis) distinct from dwarf bunt, T. controversa."

description: This is the dataset we refer to in our paper entitled "Genome sequencing, phylogenomics, and population analyses of Tilletia, with recognition of one common bunt species, T. caries (synonym T. laevis) distinct from dwarf bunt, T. controversa." published in Mycologia (https://doi.org/10.1080/00275514.2024.2418792)

Abstract: Some species of Tilletia are responsible for diseases in economically important crops, such as wheat and rice. In this study, we sequenced, assembled, and annotated 22 new genomes for Tilletia, with a focus on species causing dwarf bunt (DB; T. controversa), common bunt (CB; T. caries and T. laevis), and rice kernel smut (RKS; T. horrida). We present the first genomes for four other species (T. bromi, T. fusca, T. goloskokovii, and T. rugispora), resulting in the largest and most diverse sample of Tilletia genomes studied to date. Depending on the species and strain, the assembly size ranged from 24.3 to 30.5 Mb and gene prediction resulted in 7138 to 8261 gene models per genome. Phylogenomic analyses with hundreds to thousands of genes revealed significant support for the relationships among certain Tilletia taxa and validated findings of previous molecular studies that employed a small number of genes. Further population-level analyses showed two distinct populations of DB and CB: T. controversa (DB) as a single population and another intermixed population of T. caries and T. laevis (CB). No evidence of geographic isolation was observed within these populations. Our phylogenomic analyses also supported previous multigene hypotheses that multiple lineages of Tilletia may cause RKS. Collectively, our results suggest that taxonomic revisions are needed for the RKS-causing pathogens and provide convincing evidence for formally recognizing the CB-causing taxa as one species, named T. caries (synonym T. laevis). Overall, our study significantly enhances genomic resources for Tilletia, offers insights into phylogenetic relationships and population structure, and provides whole genome sequences for future studies.
DOI: 10.23668/psycharchives.5163
title: Dataset for: The relation between the Public Attitude towards COVID-19 and its Applied Policies - A Binational and Temporal Comparison

description: While countries applied different strategies in order to prevent a further spread of the COVID-19 pandemic, the measures found a varying degree of support within their countries populations. The goal of this study is to explore the relationship between people’s attitudes on the COVID-19 measures and the policies strictness. This questionnaire was distributed in Switzerland and Germany, and provides a binational comparison regarding the relation between COVID-19 policies and their respective public opinion. In detail, the following research questions are explored: 1. How do public attitudes differ between the Swiss and German population on respective, national COVID-19 policies? 2. Is there a change over time in the attitude of the two populations towards non-compliance? To answer the research questions we ran an online survey in July 2020 and May 2021 after the first and second wave of COVID-19 incidences. A total of 127 participants were asked to answer a total of 40 questions using a visual analog scale to identify the attitude towards COVID-19 policies. Further data on the participants’ information sources, health status and demographics were collected. In the analysis, the participants attitudes were compared with the COVID-19 policies that were in force at the time in the respective country. A series of independent one-tailed t-tests with a significance level of α= 0.05 were used to identify significant differences within a binational comparison. Bonferroni-correction was used to control for the bias due to multiple comparisons. Furthermore, the temporal development of the collected attitudes for both countries were explored by computing a Wilcoxon-Mann-Whitney-Test.
DOI: 10.23668/psycharchives.5166
title: Supplementary materials [Research data] to "Acquiring the cardinal knowledge of number words: A conceptual replication"

description: Supplementary materials [Research data] to: Rousselle, L., & Vossius, L. (2021). Acquiring the cardinal knowledge of number words: A conceptual replication. Journal of Numerical Cognition, 7(3), 411-434. https://doi.org/10.5964/jnc.7029
description: The dataset includes three sheets with data of Study 1 and 2. Regarding Study 1, the first sheet present participants’ age (in years or months), their school grade and their performance in the numerical tasks (verbal number sequence, how-many and GaN tasks). The second sheet contains the data relative to the strategies used in the GaN task in Study 1. These data were used to analyse of the success profile, the answers, the frequency of grabbing / counting and the success / failure for each requested number). The last sheet reports the data collected for Study 2. The database includes participants’ performance in GaN task according to age, the age at which each number word was acquired as well as the time spent by each participant to reach the next knowledge level with respect to their initial level of cardinal knowledge.
DOI: 10.15468/dl.etfcqk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platessa variegata Temminck & Schlegel, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017630-241126133413365/datasets/export for details.
DOI: 10.15468/dl.sfem2p
title: Occurrence Download

description: A dataset containing 960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squatina squatina (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 960 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yhcf6787yp.1
title: NBAtlas: A harmonized single-cell transcriptomic reference atlas of human neuroblastoma tumors. Bonine et al.

description: Neuroblastoma, a rare embryonic tumor arising from neural crest development, is responsible for 15% of pediatric cancer-related deaths. Recently, several single-cell transcriptome studies were performed on neuroblastoma patient samples to investigate the cell-of-origin and tumor heterogeneity. However, these individual studies involved a small number of tumors and cells, limiting the conclusions that could be drawn. To overcome this limitation, we integrated seven single-cell or single-nucleus data sets into a harmonized cell atlas covering 362,991 cells across 68 patient samples. We use this atlas to decipher the transcriptional landscape of neuroblastoma at single-cell resolution revealing associations between transcriptomic profiles and clinical outcomes within the tumor compartment. In addition, we characterize the complex immune cell landscape and uncover considerable heterogeneity among tumor-associated macrophages. Finally, we showcase the utility of our atlas as a resource by expanding it with new data and using it as a reference for data-driven cell-type annotation.

seuratObj_NBAtlas_share_v20240130.rds: Seurat Object of the NBAtlas. Be aware, using this object requires roughly 14 GB of memory.
SeuratObj_Share_50kSubset_NBAtlas_v20240130.rds: Light-weight version of the NBAtlas (50 k subset) for portable use.
DOI: 10.17632/yhcf6787yp.2
title: NBAtlas: A harmonized single-cell transcriptomic reference atlas of human neuroblastoma tumors. Bonine et al.

description: Neuroblastoma, a rare embryonic tumor arising from neural crest development, is responsible for 15% of pediatric cancer-related deaths. Recently, several single-cell transcriptome studies were performed on neuroblastoma patient samples to investigate the cell-of-origin and tumor heterogeneity. However, these individual studies involved a small number of tumors and cells, limiting the conclusions that could be drawn. To overcome this limitation, we integrated seven single-cell or single-nucleus data sets into a harmonized cell atlas covering 362,991 cells across 68 patient samples. We use this atlas to decipher the transcriptional landscape of neuroblastoma at single-cell resolution revealing associations between transcriptomic profiles and clinical outcomes within the tumor compartment. In addition, we characterize the complex immune cell landscape and uncover considerable heterogeneity among tumor-associated macrophages. Finally, we showcase the utility of our atlas as a resource by expanding it with new data and using it as a reference for data-driven cell-type annotation. 

seuratObj_NBAtlas_share_v20240130.rds: Seurat Object of the NBAtlas. Be aware, using this object requires roughly 14 GB of memory. 
SeuratObj_Share_50kSubset_NBAtlas_v20240130.rds: Light-weight version of the NBAtlas (50 k subset) for portable use. 
# v2: 
seuratObj_NBAtlas_share_v20241203.rds: Cleaned Seurat Object of the NBAtlas (doublets from the zooms filtered out).
DOI: 10.23668/psycharchives.5174
title: COVID-19 Snapshot Monitoring (COSMO Germany) - Wave 54

description: In a crisis such as the current outbreak of the newly emerged coronavirus, it is of utmost importance to monitor public perceptions of risk, protective and preparedness behaviours, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses (WHO Europe, 2017; World Health Organization, 2017). The purpose of this serial cross-sectional study COSMO is to allow rapid and adaptive monitoring of these variables over time and to assess the relations between risk perceptions, knowledge and misinformation to preparedness and protective behaviour regarding COVID-19 in Germany.
DOI: 10.7294/26517022
title: Dangerous Harbor Project - Lancaster County - Reel 260 - General Bonds/Promissory Notes, 1653-1850 - TIFFs 151-171

description: This dataset includes 21 TIFF files showing promissory notes from Lancaster County in Virginia. They were created to issue short-term debts to individuals or companies. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26517022.v1
title: Dangerous Harbor Project - Lancaster County - Reel 260 - General Bonds/Promissory Notes, 1653-1850 - TIFFs 151-171

description: This dataset includes 21 TIFF files showing promissory notes from Lancaster County in Virginia. They were created to issue short-term debts to individuals or companies. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.15468/dl.a89h2a
title: Occurrence Download

description: A dataset containing 79918 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((114.063818394021 4.02399241781812, 115.326738722802 4.02399241781812, 115.326738722802 5.02238108969713, 114.063818394021 5.02238108969713, 114.063818394021 4.02399241781812))"
 ]
}

 The dataset includes 79918 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017628-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tx68xmhjvh.1
title: Optimization of milling parameters for natural zeolites to enhance adsorption of heavy metals

description: Natural zeolites were milled by optimizing the parameters. To produce zeolite powder, a planetary ball mill was used to mill natural zeolite. x samples of natural zeolite were milled under controlled conditions. The milling rotational speed will be varied between 1 - 2 and the milling time for dry milling. Test samples were prepared in a steel jar protected with jacket of zirconium oxide to avoid samples being contaminated. The grinding jars will be arranged eccentrically on the sun wheels of the planetary balls. The developed powder was characterized for composition, morphology, size, size distribution. So, Scanning Electron Microscopy (SEM) was used to study the surface morphology and composition of zeolite nanoparticles, X-ray Fluorescence (XRF) and X-ray powder Diffraction (XRD) will be used to determine the morphology, mineral phases and crystalline structure.
The optimized parameters were used to produce zeolite samples which were used for adsorption purposes.
DOI: 10.15468/dl.h2r5tf
title: Occurrence Download

description: A dataset containing 37163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bellidiastrum michelii Cass., Doronicum bellidifolium Salisb., Bellidastrum montanum (Dumort.) Hoppe, Aster bellidiastrum var. macroglossus Briq. & Cavill., Bellidastrum michelii Cass., Doronicum bellidiastrum L., Bellidiastrum montanum Bluff & Fingerh., 1825, Bellidiastrum bellidiastrum (L.) H.Karst., Aster bellidiastrum var. orophila Briq. & Cavill., Bellidastrum subalpinum Schrank, Bellidiastrum subalpinum Schrank, 1816, Bellidiaster montanus Dumort., Arnica bellidiastrum (L.) All., Aster bellidiastrum (L.) Scop., Margarita bellidiastrum (L.) Gaudin, Brachyaster bellidiastrum (L.) Ambrosi, Bellidastrum bellidiastrum (L.) H.Karst., Bellidastrum montanum (Dumort.) Hoppe ex DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 37163 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bymt74
title: Occurrence Download

description: A dataset containing 5079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus diandrus Roth",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 5079 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7294/26517079
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Guardian Bonds, 1653-1850 - TIFFs 1-40

description: This dataset includes 40 TIFF files showing guardian bonds from Lancaster County in Virginia. They were created to protect the finances or assets of a person – often underaged – subjected to the custody of another individual. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26517079.v1
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Guardian Bonds, 1653-1850 - TIFFs 1-40

description: This dataset includes 40 TIFF files showing guardian bonds from Lancaster County in Virginia. They were created to protect the finances or assets of a person – often underaged – subjected to the custody of another individual. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.17632/gnkgbjpc2x.1
title: CRISPR/Cas9-Mediated SHP-1-Knockout T Cells Combined with Simvastatin Exhibit Enhanced Anti-Tumor Activity in Hepatocellular Carcinoma

description: Sample at figure 6 and supplementary figure 10
DOI: 10.17632/zk35ppt8py.1
title: Rauseo et al. Lactate-carried Mitochondrial Energy Overflow

description: Numerical data Figures 1 to 5 and S1 to S22
Uncropped Western blots Figures 1 to 5
DOI: 10.17632/8tg3xypxm7.1
title: Uso simuladores LABSAG

description: Informe gerencial Simuladores: Simdef, Simpro y Tenpomatic, de acuerdo a lo experimentado por la estudiante en referencia. Es el resultado del trabajo realizado durante el semestre VIII del programa de administración de empresas
DOI: 10.7294/26517085
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Land and Property Records, 1653-1850 - TIFFs 1-50

description: This dataset includes 50 TIFF files showing land and property records from Lancaster County in Virginia. They were created in the process of documenting land and property ownership. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26517085.v1
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Land and Property Records, 1653-1850 - TIFFs 1-50

description: This dataset includes 50 TIFF files showing land and property records from Lancaster County in Virginia. They were created in the process of documenting land and property ownership. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.15468/dl.vexbgv
title: Occurrence Download

description: A dataset containing 2230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera tryoni (Froggatt, 1897)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2230 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9kerk
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Living Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cattleya trianae Linden & Rchb.f.",
 "Year 1900-2024"
 ]
}

 The dataset includes 162 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017635-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xjhcd
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypselurus hiraii Abe, 1953",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017636-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/66nkbvy242.1
title: Housing based on vernacular architecture in Guerrero, Mexico

description: In the present dataset, 3 types of sustainable materials for constructions are characterized: stone, adobe and wood. The images were collected in the State of Guerrero, Mexico, in the cities and communities of Acapulco, Amojileca, Atoyac, Ayutla de los libres, Chilapa, Chilpancingo, Coyuca de Benítez, Cruz grande, Huitzuco, Iguala de la Independencia, San Marcos, Taxco de Alarcón, Tecpán de Galeana, Teloloapan, Tixtla de Guerrero, Tlapa de Comonfort, Xocomanatlan and Zumpango. The objective of the compilation of images is the identification of sustainable materials for construction in the State of Guerrero through the vernacular architecture of the zone. The constructions represent the vernacular architecture and culture in terms of construction of the region. The photographs were taken in a particular way in field visits and through Google Earth by means of StreetView, making visits mainly in the downtown area of each city and community, which represent the oldest constructions. This collection contains 235 images separated in folders of each of the materials and geographical area of each region.
DOI: 10.7294/26517103
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Land and Property Records, 1653-1850 - TIFFs 51-100

description: This dataset includes 50 TIFF files showing land and property records from Lancaster County in Virginia. They were created in the process of documenting land and property ownership. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26517103.v1
title: Dangerous Harbor Project - Lancaster County - Reel 260 - Land and Property Records, 1653-1850 - TIFFs 51-100

description: This dataset includes 50 TIFF files showing land and property records from Lancaster County in Virginia. They were created in the process of documenting land and property ownership. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.