cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-856663
title: Correspondence Study Field Experiment, United Kingdom, 2020

description: A correspondence study field experiment (CSFE) was conducted in Denmark, Germany, the Netherlands and the United Kingdom from November to December 2020. The pre-analysis plan has been published and is available via Related Resources. This data set contains the anonymised original data from the audit experiment that was conducted in the United Kingdom from 2nd of November 2020 to 18th of December 2020. Manipulated variables include social class, ethnic background and partisanship, which are all manipulated in the treatment emails. Social class is signalled by the sender's occupation, ethnic background is signalled by their name and partisanship is signalled by the sender saying they support the MP's party. Measured variables include district size, district structure, party, and legislators’ personal characteristics, i.e. their ethnic and class backgrounds. The latter are only used for exploratory analyses. This experiment was pre-registered and full details of the experimental design can be found in the pre-registration documentation. Please see Related Resources.
DOI: 10.21227/teqf-kj40
title: conformal fabrication of heat flux sensor

description: Real-time monitoring of heat flux changes in hot-end components in harsh environments is of great significance for safe operation and thermal protection design. Although many high-performance heat flux sensors have been developed on planar by technologies such as MEMS, their inherent planar properties make it difficult to satisfy the characteristics of curved surfaces on real objects. By combining a conformal direct ink writing system and the excellent high temperature performance of polymer-derived ceramics (PDCs), we have successfully fabricated a Wheatstone bridge-type conformal thin film heat flux sensor (CTFHFS) on a curved alumina for the first time. Additionally, the particle size distribution and rheological properties were characterized to guarantee the stability and processability of the ceramic slurry. The CTFHFS was calibrated with a sensitivity of 2875 μV/(kW/m2) by a laser calibration platform at heat fluxes up to 87.05 kW/m2. Both subsequent rounds of heat flux testing showed good repeatability and stability. Steady state error in long-term stability testing was less than 3%/min with a response time of 1.023 s. In addition, combustion experiments on the CTFHFS were conducted by using a flame gun to simulate gas environments such as the surface of aero-engine turbine blades. The results showed excellent response performance in dynamic tests up to 715 °C and steady state tests at 712 °C. Therefore, the CTFHFS in this study provided a potential methodology for enabling conformal manufacturing of thin film sensors on actual objects, as well as contributing to the advancement of PDCs films into practical applications.
DOI: 10.5281/zenodo.8367849
title: Functional traits of the ichthyofauna from Terminos Lagoon, Campeche, Mexico

description: The dataset provides access to an Excel file (.xlsx) with a list of 128 fish species (rows), and a list of 23 bio-ecological traits grouped into 5 categories (columns). The characterization of the bio-ecological traits by species was done with information from primary literature, free access internet data repositories, and databases of previous institutional projects. In this way, a matrix of bio-ecological attributes of the fish community was assembled. Aspects related with the study area, the sampling design, the collection methodology, the species inventory, and the taxonomic composition of the ichthyofauna are described in Paz-Ríos et al. (2021). Link to this article: https://doi.org/10.3897/BDJ.9.e65317
description: The present resource forms part of the first author's postdoctoral project titled "Influencia de la variabilidad hidrográfica temporal de Laguna de Términos en los atributos funcionales de la comunidad de peces ", carried out in the "Laboratorio de Oceanografía Biológica y Pesquerías" of the EPOMEX research institute of the "Universidad Autónoma de Campeche (UAC)". The project is financed by a CONAHCYT postdoctoral scholarship to CEPR.
DOI: 10.5281/zenodo.8367848
title: Functional traits of the ichthyofauna from Terminos Lagoon, Campeche, Mexico

description: The dataset provides access to an Excel file (.xlsx) with a list of 128 fish species (rows), and a list of 23 bio-ecological traits grouped into 5 categories (columns). The characterization of the bio-ecological traits by species was done with information from primary literature, free access internet data repositories, and databases of previous institutional projects. In this way, a matrix of bio-ecological attributes of the fish community was assembled. Aspects related with the study area, the sampling design, the collection methodology, the species inventory, and the taxonomic composition of the ichthyofauna are described in Paz-Ríos et al. (2021). Link to this article: https://doi.org/10.3897/BDJ.9.e65317
description: The present resource forms part of the first author's postdoctoral project titled "Influencia de la variabilidad hidrográfica temporal de Laguna de Términos en los atributos funcionales de la comunidad de peces ", carried out in the "Laboratorio de Oceanografía Biológica y Pesquerías" of the EPOMEX research institute of the "Universidad Autónoma de Campeche (UAC)". The project is financed by a CONAHCYT postdoctoral scholarship to CEPR.
DOI: 10.6084/m9.figshare.24175445
title: Dose-accumulation analysis of target and organs at risk with clinical outcome after re-irradiation of diffuse midline glioma

description: Dose-accumulation analysis of target and organs at risk with clinical outcome after re-irradiation of diffuse midline glioma
DOI: 10.6084/m9.figshare.24175445.v1
title: Dose-accumulation analysis of target and organs at risk with clinical outcome after re-irradiation of diffuse midline glioma

description: Dose-accumulation analysis of target and organs at risk with clinical outcome after re-irradiation of diffuse midline glioma
DOI: 10.25345/c52f7k23n
title: MassIVE MSV000092925 - Motrpac - Endurance Exercise Training Study In 6 Months Old Rats (Protein Phosphorylation In Gastrocnemius, White Adipose Tissue, Cortex, Lung, And Kidney)
title: This proteomics dataset focuses on the study of changes in protein phosphorylation in the following tissues: gastrocnemius, white adipose, cortex, lung, and kidney. The dataset is a subset of an endurance exercise training study that targets young adult (6-month-old) rats. Specifically, male and female Fischer 344 rats (n = 12) were subjected to progressive treadmill endurance exercise training for 1, 2, 4, or 8 weeks, with tissues collected 48 hours after the last exercise bout. Sex-matched sedentary, untrained rats were used as controls. This study contributes to MoTrPAC's broader mission, which is to identify molecular changes occurring due to exercise. The ultimate goal is to understand how physical activity can improve and sustain health across various ages and fitness levels. The program is supported by the NIH Common Fund. For additional information, visit the MoTrPAC Data Hub at https://motrpac-data.org/.
DOI: 10.5281/zenodo.7555404
title: COVID-19 vaccination single cell datasets

description: The datasets presented here comprise the sequencing data featured in the research paper titled: "Multimodal single-cell datasets characterize antigen-specific CD8<sup>+</sup> T cells across SARS-CoV-2 vaccination and infection": https://www.nature.com/articles/s41590-023-01608-9 Peripheral Blood Mononuclear Cell (PBMC) samples utilized for both CITE-seq and ASAP-seq were systematically collected at four distinct time intervals: Pre-vaccination (Day 0) Post-primary vaccination (Day 2 and Day 10. Seven days post-boost vaccination (Day 28). The count matrix folder contains count matrices for each experimental type, specifically CITE-seq, ASAP-seq, and ECCITE-seq. In addition, we have included the fully integrated, processed Seurat objects for downstream analysis. Details of the content within the count matrix folder are as follows: The RNA, ATAC, and TCR modality outputs were generated using the 10x Cellranger pipeline. HTO and ADT modalities were mapped with Alevin. Outlined below are the three processed single-cell datasets: PBMC_vaccine_CITE.rds: 3' RNA and surface proteins (173 TotalSeq-A antibodies) PBMC_vaccine_ASAP.rds: Chromatin accessibility and surface proteins (173 TotalSeq-A antibodies) PBMC_vaccine_ECCITE_TCR.rds: 5' RNA, surface proteins (137 TotalSeq-C antibodies), TCR and dextramer loaded with peptides of SARS-CoV-2 spike protein. antigen_module_genes.rds: This file contains the vaccine-induced gene sets. antigen_module_peaks.rds: This file contains the DE peaks specific for vaccine-induced cells. To map the scRNA-seq query dataset onto our CITE-seq reference: <pre><code>library(Seurat) PBMC_CITE &lt;- readRDS("/zenedo/PBMC_vaccine_CITE.rds") query_scRNA &lt;- readRDS("/home/xx/your_own_data.rds") anchors &lt;- FindTransferAnchors( reference = PBMC_CITE, query = query_scRNA, normalization.method = "SCT", k.anchor = 5, reference.reduction = "spca", dims = 1:50) query_scRNA &lt;- MapQuery( anchorset = anchors, query = query_scRNA, reference = PBMC_CITE, refdata = list( l1 = "celltypel1", l2 = "celltypel2", l3 = "celltypel3"), reference.reduction = "spca", reduction.model = "wnn.umap") </code></pre> To use the scATAC-seq data, please run the commands below to update the path of the fragment file for the object. <pre><code>Vaccine_ASAP &lt;- readRDS("PBMC_vaccine_ASAP.rds") # remove fragment file information Fragments(Vaccine_ASAP) &lt;- NULL # Update the path of the fragment file Fragments(Vaccine_ASAP) &lt;- CreateFragmentObject(path = "download/PBMC_vaccine_ASAP_fragments.tsv.gz", cells = Cells(Vaccine_ASAP))</code></pre>
DOI: 10.5281/zenodo.7555405
title: COVID-19 vaccination single cell datasets

description: PBMC samples for CITE-seq and ASAP-seq were collected at four time points: immediately before (Day 0) vaccination, after primary vaccination (Day 2, Day 10), and seven days after boost vaccination (Day 28). The datasets uploaded here are three processed single-cell datasets: 1. PBMC_vaccine_CITE.rds: 3' RNA and surface proteins (173 TotalSeq-A antibodies) 2. PBMC_vaccine_ASAP.rds: Chromatin accessibility and surface proteins (173 TotalSeq-A antibodies) 3. PBMC_vaccine_ECCITE_TCR.rds: 5' RNA, surface proteins (137 TotalSeq-C antibodies), TCR and dextramer loaded with peptides of SARS-CoV-2 spike protein. antigen_module_genes.rds: This file contains the vaccine-induced gene sets. antigen_module_peaks.rds: This file contains the DE peaks specific for vaccine-induced cells. To map the scRNA-seq query dataset onto our CITE-seq reference: <pre><code>library(Seurat) PBMC_CITE &lt;- readRDS("/zenedo/PBMC_vaccine_CITE.rds") query_scRNA &lt;- readRDS("/home/xx/your_own_data.rds") anchors &lt;- FindTransferAnchors( reference = PBMC_CITE, query = query_scRNA, normalization.method = "SCT", k.anchor = 5, reference.reduction = "spca", dims = 1:50) query_scRNA &lt;- MapQuery( anchorset = anchors, query = query_scRNA, reference = PBMC_CITE, refdata = list( l1 = "celltypel1", l2 = "celltypel2", l3 = "celltypel3"), reference.reduction = "spca", reduction.model = "wnn.umap") </code></pre> To use the scATAC-seq data, please run the commands below to update the path of the fragment file for the object. <pre><code>Vaccine_ASAP &lt;- readRDS("PBMC_vaccine_ASAP.rds") # remove fragment file information Fragments(Vaccine_ASAP) &lt;- NULL # Update the path of the fragment file Fragments(Vaccine_ASAP) &lt;- CreateFragmentObject(path = "download/PBMC_vaccine_ASAP_fragments.tsv.gz", cells = Cells(Vaccine_ASAP))</code></pre>
DOI: 10.5281/zenodo.8240488
title: COVID-19 vaccination single cell datasets

description: The datasets presented here comprise the sequencing data featured in the research paper titled: "Multimodal single-cell datasets characterize antigen-specific CD8<sup>+</sup> T cells across SARS-CoV-2 vaccination and infection": https://www.nature.com/articles/s41590-023-01608-9 Peripheral Blood Mononuclear Cell (PBMC) samples utilized for both CITE-seq and ASAP-seq were systematically collected at four distinct time intervals: Pre-vaccination (Day 0) Post-primary vaccination (Day 2 and Day 10. Seven days post-boost vaccination (Day 28). The count matrix folder contains count matrices for each experimental type, specifically CITE-seq, ASAP-seq, and ECCITE-seq. In addition, we have included the fully integrated, processed Seurat objects for downstream analysis. Details of the content within the count matrix folder are as follows: The RNA, ATAC, and TCR modality outputs were generated using the 10x Cellranger pipeline. HTO and ADT modalities were mapped with Alevin. Outlined below are the three processed single-cell datasets: PBMC_vaccine_CITE.rds: 3' RNA and surface proteins (173 TotalSeq-A antibodies) PBMC_vaccine_ASAP.rds: Chromatin accessibility and surface proteins (173 TotalSeq-A antibodies) PBMC_vaccine_ECCITE_TCR.rds: 5' RNA, surface proteins (137 TotalSeq-C antibodies), TCR and dextramer loaded with peptides of SARS-CoV-2 spike protein. antigen_module_genes.rds: This file contains the vaccine-induced gene sets. antigen_module_peaks.rds: This file contains the DE peaks specific for vaccine-induced cells. To map the scRNA-seq query dataset onto our CITE-seq reference: <pre><code>library(Seurat) PBMC_CITE &lt;- readRDS("/zenedo/PBMC_vaccine_CITE.rds") query_scRNA &lt;- readRDS("/home/xx/your_own_data.rds") anchors &lt;- FindTransferAnchors( reference = PBMC_CITE, query = query_scRNA, normalization.method = "SCT", k.anchor = 5, reference.reduction = "spca", dims = 1:50) query_scRNA &lt;- MapQuery( anchorset = anchors, query = query_scRNA, reference = PBMC_CITE, refdata = list( l1 = "celltypel1", l2 = "celltypel2", l3 = "celltypel3"), reference.reduction = "spca", reduction.model = "wnn.umap") </code></pre> To use the scATAC-seq data, please run the commands below to update the path of the fragment file for the object. <pre><code>Vaccine_ASAP &lt;- readRDS("PBMC_vaccine_ASAP.rds") # remove fragment file information Fragments(Vaccine_ASAP) &lt;- NULL # Update the path of the fragment file Fragments(Vaccine_ASAP) &lt;- CreateFragmentObject(path = "download/PBMC_vaccine_ASAP_fragments.tsv.gz", cells = Cells(Vaccine_ASAP))</code></pre>
DOI: 10.5255/ukda-sn-856662
title: Young People at a Crossroads: Negotiations of Environmental Knowledges, Practices and Subjectivities in Immigrant Homes at a Time of Climate Crisis, 2021-2022

description: This research aimed to explore migrant-background young people's responses to climate change education and the conversations taking place between generations about climate change in families where there was a recent history of migration. The research was conducted primarily with 14-18-year-old young people with family migration backgrounds living in Manchester or Melbourne, and secondarily with parents or grandparents of the young participants, and with teachers with an interest in climate change education in Manchester or Melbourne. Data were generated through interviews and focus groups, and include a sub-set of interviews conducted by young people with their parents or grandparents. Young people who took part in the research were first, second and third generation migrants. The collection includes transcripts of: - 18 initial interviews with young people (usually conducted in pairs) - 9 focus groups with young people - 9 young researcher-led interviews with a parent - 10 debrief interviews with young researchers and parents - 14 interviews with educators - 7 images used in focus group activities with young people Non-identifying information about all participants who agreed for their data to be archived is included in the 'YPAC participant overview' document included in the collection folder. Where participants took part but did not give consent for their data to be archived, they are acknowledged by participant code but further details are given. The 'YPAC archived data log' includes details about the interview recordings and note where interviews took place, length of interview and where participant data were subsequently removed. Further details about research activities are included in the methodology section below.
DOI: 10.25810/fx6e-r462.53
title: European Newspaper Coverage of Climate Change or Global Warming, 2004-2023 - August 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/n3xc-9577.29
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - August 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.24175197
title: Data files for: The effect of building ability and object availability on the construction of bower courts in great bowerbirds

description: data.csv: The main data frame used for the primary analysis in long format data_combined.csv: The main data frame used and formatted for the primary analysisdata_spatial.csv: The data frame used for the spatial autocorrelationREADME file: columns of data frames explained<br><br>
DOI: 10.6084/m9.figshare.24175197.v2
title: Data files for: The effect of building ability and object availability on the construction of bower courts in great bowerbirds

description: data.csv: The main data frame used for the primary analysis in long format data_combined.csv: The main data frame used and formatted for the primary analysisdata_spatial.csv: The data frame used for the spatial autocorrelationREADME file: columns of data frames explained<br><br>
DOI: 10.6084/m9.figshare.24175197.v1
title: data.csv - The effect of building ability and object availability on the construction of bower courts in great bowerbirds

description: Data for the publication:The effect of building ability and object availability on the construction of bower courts in great bowerbirds
DOI: 10.5517/ccdc.csd.cc2dhdkw
title: CCDC 2219338: Experimental Crystal Structure Determination

description: Related Article: Avijit Sahoo, Gourav Das, Nishant Kumar Choudhary, S. Harikrishna, Kiran R. Gore|2023|Chem. Sel.|8|e202301858|doi:10.1002/slct.202301858
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhdlx
title: CCDC 2219339: Experimental Crystal Structure Determination

description: Related Article: Avijit Sahoo, Gourav Das, Nishant Kumar Choudhary, S. Harikrishna, Kiran R. Gore|2023|Chem. Sel.|8|e202301858|doi:10.1002/slct.202301858
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dhds3
title: CCDC 2219345: Experimental Crystal Structure Determination

description: Related Article: Avijit Sahoo, Gourav Das, Nishant Kumar Choudhary, S. Harikrishna, Kiran R. Gore|2023|Chem. Sel.|8|e202301858|doi:10.1002/slct.202301858
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24174702.v1
title: Primers sequences for DMOS registers

description: Primers used to replicate DMOS registers. Barcode primers to tag some registers. Combination of the barcode primers per address.
DOI: 10.6084/m9.figshare.24168921
title: Raw patient text files

description: Raw text files acquired by Hyperion Imaging System
DOI: 10.6084/m9.figshare.24168921.v2
title: Raw patient text files

description: Raw text files acquired by Hyperion Imaging System
DOI: 10.6084/m9.figshare.24168921.v1
title: Raw patient .MCD files

description: Raw .MCD files acquired by Hyperion Imaging System
DOI: 10.6084/m9.figshare.24175482
title: Pharmacological effects of <i>Cyperus articulatus</i> essential oil against cough, inflammation, and nociception

description: Raw data for Pharmacological effects of <i>C. articulatus</i> essential oil against cough, inflammation, and nociception in mice
DOI: 10.6084/m9.figshare.24175482.v1
title: Pharmacological effects of <i>Cyperus articulatus</i> essential oil against cough, inflammation, and nociception

description: Raw data for Pharmacological effects of <i>C. articulatus</i> essential oil against cough, inflammation, and nociception in mice