cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24559087.v1
title: Cell populations and clinical information for 177 melanoma samples.

description: A training set of 110 patients and a validation set of 41 samples with advanced melanoma. Note that some samples were measured in duplicates. Whole blood was collected from healthy thrombocyte donors. Blood samples were obtained from patients with Stage III/IV melanoma. Samples were measured with flow cytometry, recompensated, arcsinh-transformed and rescaled before applying a uniform gating strategy. This data then shows clinical information, the cell counts per gated population in 10,000 cells (pheno_pops_10k) and their frequencies relative to the CD4+ or CD8+ cells (cd4_cd8_relative). As convenience, unique_validation_cd4_cd8_relative are the relative frequencies for validation samples measured only on the Navios cytometer and not on the Navios EX cytometer. See the accompanying publication sections "Collection of clinical information", "Diagnosis and grading of clinical outcomes" and "Flow cytometry" <br>
DOI: 10.6084/m9.figshare.24681285.v1
title: sciPlex dataset

description: <i>Transcriptomes of 650000 A549, K562, and mCF7 cells exposed to 188 compounds.</i><br><br><i> sci-Plex was used to screen three well-characterized human cancer cell lines, A549</i><br><i> (lung adenocarcinoma), K562 (chronic myelogenous leukemia), and MCF7 (mammary</i><br><i> adenocarcinoma)exposed to 188 compounds, profiling ~650,000 single-cell</i><br><i> transcriptomes across ~5000 independent samples in one experiment.</i><br><br><i> References:</i><br><i> Publication: https://doi.org/10.1126/science.aax6234 \</i><br><i> Obtained from scperturb: http://projects.sanderlab.org/scperturb/</i>
DOI: 10.6084/m9.figshare.28794878.v1
title: <b>The history of </b><b><i>'kerupuk'</i></b><b> and the development of its protein-source and fat-free variants as part of Indonesian culinary heritage</b>

description: <b>The history of </b><b><i>'kerupuk'</i></b><b> and the development of its protein-source and fat-free variants as part of Indonesian culinary heritage</b>
DOI: 10.6084/m9.figshare.7925222.v1
title: gVCF_HG02067

description: 1000 Genomes gVCF mapped to hs37d5 for HG02067. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.60893/figshare.apb.27936255.v1
title: Supporting Information for Stem cell mechanoadaptation - Part A - Effect of microtubule stabilization and volume changing stresses on cytoskeletal remodeling

description: This file contains supplemental text and figures to accompany the manuscript.
DOI: 10.17632/fhdzx88w4s
title: Data for "The Short- and Long- Run Effects of Remote Work on U.S. Housing Markets"

description: Replication packet for Howard, Liebersohn & Ozimek (2023).
DOI: 10.17632/wjr6jx9bjm
title: Data sets of article titled "Correlation between the brain activity with gait imagery and gait performance in adults with Parkinson's disease: A data set"

description: Data sets of gait performance with 10-meter walk test (10MWT) and brain activation data of functional magnetic resonance imaging.
DOI: 10.25377/sussex.7263020.v1
title: Jiryes Farhat to Suleiman Farhat and Katrina Sa'ade, 12 February 1933

description: The images are a digital reproduction of a handwritten letter and accompanying translation donated by Kathy Sa'ade Kenny. <br>In this letter Jiryes Farhat writes warmly to his son Suleiman and his wife Katrina responding to their decision to move Katrina Sa'ade and their children to the Farhat family home in Ramallah, Palestine. Jiryes acknowledges Katrina's reservations and paints Ramallah in a positive and metropolitan light as 'the bride of Palestine.' He describes how he and Miriam, his wife, look forward to meeting Suleiman's family and making them welcome in Ramallah. Issa Farhat scribes. <br>These images exist as part of the Katrina Sa'ade Letters collection within the Katrina Sa'ade project of the Planet Bethlehem Archive.
DOI: 10.6084/m9.figshare.28029815.v1
title: Dataset for the "WM box: the movable arena experiment"

description: Dataset for the "WM box: the movable arena experiment" of the study of Bonin, Duc, & Bshary investigating working memory abilities in cleaner wrasse
DOI: 10.6084/m9.figshare.28184240.v1
title: Rapid review citations "Exploring the User Experience of Generative AI in Digital Health: A Rapid Review" (CSHI 2025)

description: An overview of articles that have been included in the rapid review: "Exploring the User Experience of Generative AI in Digital Health: A Rapid Review", submitted to the Context Sensitive Health Informatics 2025 Conference.
DOI: 10.6084/m9.figshare.4246325.v1
title: Empirical weight parameters VATSPUD data

description: This is the adjacency matrix containing the empirical weight parameters that were used as a starting point for the simulation study. These parameters were retrieved from a network analysis with IsingFit in R, the data come from the VATSPUD study (courtesy of Ken Kendler, see the paper for a brief description of the data) and consist of the 14 disaggregated symptoms of major depression according to DSM-III-R.
DOI: 10.17632/6tx7dv7wgj
title: Data for: On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry

description: DATA REPOSITORY FOR Title: On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry By: Robert Schulte Holthausen & Peter McDonald Submitted to: Cement and Concrete Research Each material-folder names the material investigated and the sample mass in milligrams. Each material-folder contains 9 folders with quadrature-echo pulse sequence files with pulse spacing of 15, 20, 25, 30, 35, 40, 45, 50, 60 microseconds. - The 'acqu.par'-files contain all important measurement information. - The 'data.csv'-files contain three columns with time in microseconds, real-channel-data and imaginary-channel-data. Each material-folder contains 1 folder with T1 saturation recovery - quadrature-echo pulse sequence files with pulse spacing of 25 microseconds. - The 'acqu.par'-files contain all important measurement information. - The 'time1.txt'-file contains the tau1 recovery-times in milliseconds. - The 'time2.txt'-file contains the position of measured data points with t=0 at the middle of the first quadrature pulse in microseconds. - The 'real.csv'-file contains a data-field with the real-channel-data - The 'imaginary.csv'-file contains a data-field with the imaginary-channel-data - The 'complex.csv'-file contains a data-field with the real-channel and imaginary-channel-data combined. Schulte Holthausen 27/11/2019 Enquiries to: robert.schulte.holthausen@rwth-aachen.de p.mcdonald@surrey.ac.uk
DOI: 10.17632/k2mmk7j6np
title: Ashkenazi et al., 2022

description: Supplementary data to Ashkenazi et al., 2022.
DOI: 10.17632/krxvfr62gx
title: Publication Dataset of The COVID-19 Pandemic in Indonesia 2020

description: The research and publication dataset of the COVID-19 pandemic in Indonesia, which was indexed by Scopus in 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/cvkdzr8tv3
title: Global Innovation Index: panel data (2011-2022)

description: The aim of this work is to provide a panel data file with all pillars of the Global Innovation Index from 2011 until 2022, covering all available economies (149 in total) by income level.
DOI: 10.5522/04/25818103.v1
title: The UK & NI Dance Archive Collections Database

description: Dance archives play a crucial role in preserving the historical record of dance, housing materials used to reflect, revive, study, and analyse this art form. However, with declining physical visitor numbers, it is essential to explore how users access and utilise this knowledge digitally. Therefore, the doctoral research project investigated the future development of online dance archive resources by examining the information-seeking behaviour's of dance researchers and the working practices of dance archivists. This dataset was compiled between 2018-2020 as survey the landscape of dance archives and to contextualise one of the study's participant sample: dance archivists. As a result a comprehensive UK dance archive collection database was compiled using publicly available online sources. The UK Theatre Collections Database (Association of Performing Arts Collections, 2009) served as the initial foundation in compiling this dataset. The dataset compiled details of archives across the UK which hold dance, or dance-related, collections, material or items. It provides details inclusive of the archive name and geographical location. Additionally, it surveys dance archives' catalogue, detailing whether catalogues can be found online or offline and which software the dance archive has used to produce the catalogue. This information was gathered both from publicly information and further investigated through correspondences with the dance archives via email. Moreover, the dataset provides a URL link to the search tool provided by the dance archive online which users can use to search the archive for information, it also lists metadata and interface affordances and outlines particular collections, material or items related to dance which can be found using the search tool[1]. The subsequent development and extension of this list revealed that over sixty archives within the UK and Northern Ireland contain dance or dance-related collections or materials. This newly compiled database provided a statistical understanding of dance archives that had previously been unavailable. Furthermore, it facilitated an informed decision regarding the recruitment pool of dance archivists for the study. This dataset supports future research by providing a statistical understanding of dance archives within the UK and NI.<br>[1] A basic search for words such as ‘dance’ or ‘performance’ were used to locate material relating to dance within the archive searching facilities. This forms the listed dance, or dance-related collections value within the dataset.<br>
DOI: 10.6084/m9.figshare.28946027.v1
title: 2-Dodecyl-6-methoxycyclohexa-2, 5-dien-1,4-dione alleviates liver fibrosis and improves intestinal flora and bile acid metabolism

description: 2-Dodecyl-6-methoxycyclohexa-2,5-diene-1,4-dione (DMDD), a bioactive compound of star fruit horn root, has shown therapeutic potential by regulating the TGF-β1 pathway and regulating bile acids.In this study, a liver fibrosis model was established in Kunming mice (KM) induced by carbon tetrachloride (CCL4), and DMDD (50 mg/kg) was administered intragastrically. Biochemical indices and immunohistochemical staining were used to evaluate the effect of DMDD on liver fibrosis. The Illumina sequencing platform was used to detect intestinal flora and liver transcriptome information in mouse feces, and high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) technology was used to detect bile acid content changes in mouse feces.“2-Dodecyl-6-methoxycyclohexa-2, 5-Dien-1, 4-Dione alleviates liver fibrosis and improves intestinal flora and bile acid metabolism "Supplementary material to the manuscript.
DOI: 10.17632/chd8hx65r4
title: Synthetic Continuous Glucose Monitoring (CGM) Signals

description: Based on a trained Conditional Generative Adversarial Network (CGAN), the dataset contains 40,000 CGM days with a sampling frequency 288/day, equivalent to 940,000 hours of synthetic CGM. The dataset contains both signal resembling people with type 1 diabetes and healthy individuals. Profiles are categorized into four groups resembling different HbA1c levels: (1) below 6.5% (healthy without diabetes), (2) between 6.5% to &lt;7%, (3) between 7% to &lt;8% and (4) above 8%. Reference: Cichosz SL, Xylander AAP. A Conditional Generative Adversarial Network for Synthesis of Continuous Glucose Monitoring Signals. J Diabetes Sci Technol. 2021 May 30:19322968211014255. doi: 10.1177/19322968211014255. Epub ahead of print. PMID: 34056935
DOI: 10.17632/mdt8n2xgf4
title: Prostate needle biopsies pre- and post-ADT: Count matrices, histological-, and Androgen receptor immunohistochemistry images

description: Unfiltered ST count matrices, spot selection files and transformation matrices, HE-, and Androgen receptor IHC-images, from the article: Marklund M. et al. Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones. Each count matris includes the ST count data from a pre-ADT- and a post-ADT biopsy, and the individual spots per biopsy are selected and saved as spot selection files, each with a corresponding transformation matris.
DOI: 10.17632/xd6ycjkyfm
title: The identification of wildlife-vehicle collision hotspots: Citizen science reveals spatial and temporal patterns

description: Records of wildlife-vehicle collisions in Campania Region, Italy.
DOI: 10.6084/m9.figshare.14885214.v3
title: A Siamese neural network for learning the similarity metrics of linear features

description: The data and codes that support the findings of the paper entitled "A Siamese neural network for learning the similarity metrics of linear features", https://doi.org/10.1080/13658816.2022.2143505
DOI: 10.6084/m9.figshare.22129481.v1
title: Study domain and broad biophysical group spatial files

description: Study spatial domain and broad-scale biophysical groupings used to for study which simulated spatially and temporally spatially explicit cultural ignitions on a 264,399-ha landscape of Karuk Aboriginal Territory in northern California using a Monte Carlo procedure.
DOI: 10.6084/m9.figshare.22730459.v5
title: Supplementary Information for "AI-assisted structural consensus-proteome prediction of human monkeypox viruses isolated within a year after the 2022 multi-country outbreak" containing Data S1-S5 as well as 3D structural models of ORF ID_5754 and the MPX consensus proteome (April2022 to April2023)

description: The monkeypox virus (MPX) belongs to the orthopoxvirus genus of the <em>Poxviridae</em> family, is endemic in parts of Africa, and causes a disease in humans similar to smallpox. The most recent outbreak of MPX is already affecting 110 countries with 86,956 confirmed cases since May 2022 and has consequently become a focus of interest. In particular, a molecular understanding of the virus is essential to study infection processes and pathogen-host interactions, predict tropism changes, or guide drug-development and -discovery as well as vaccine-development or -adaptation at a very early stage. Here we provide the structural proteome of the currently circulating MPX virus: We computed a consensus genome sequence from 3,713 viral isolates sampled during one year after the outbreak and predicted the structure of 210 proteins contained in this consensus genome with AlphaFold2 and ESMFold, as well as, for 148 proteins, which matched to proteins deposited in the PDB, with homology modeling. In total, 568 distinctive structural models are contained within the folder provided here. <br> <br> Data S1 | The consensus genome sequence generated from 3,713 monkeypox genome sequences, which were sampled within one year after the 2022 MPX outbreak, in FASTA format (DataS1_consensus_genome.fasta). <br> Data S2 | A csv file containing the composition and conservation data of the consensus genome sequence (DataS2_conservation_consensus_genome.csv). <br> Data S3 | A set of proteins which serve as the reference proteome, consisting of 179 proteins contained in the NCBI Reference Sequence NC_063383.1, extended with additional 32 proteins contained in MN648051.1 (DataS3_NCBI_reference_proteome.fasta). <br> Data S4 | This dataset contains the protein sequences of 10,580 characteristic candidate ORFs, their position in the genome sequence, BLASTP results of searches in standard databases, topology predictions, modeling information, as well as mutation analyses (DataS4_consensus_proteome_analyses.csv). <br> Data S5 | An acknowledgment table including accession numbers and the origin of the processed sequences (DataS5_GISAID_acknowledgement_table.pdf).
DOI: 10.17632/7zz3tp5kt5
title: Cholera outbreak

description: This data set is daily surveillance report of cholera outbreaks occurred in Gedeo zone in from April 2 to November 18, 2023.
DOI: 10.17632/hgc34yd3m3
title: AADIS: An atomistic analyzer for dislocations character and distribution

description: In atomistic simulations of crystal plasticity, the characterization and representation of the dislocation core structure play a significant role for the understanding of mechanical behavior for crystalline materials. For this purpose, we present an accurate and convenient command-line tool: Atomistic Analyzer for DISlocations character and distribution (AADIS) for the post-analysis of the defective structures observed in various atomistic simulations. The program has implemented the displacement vector analysis (DVA), the atomic strain tensor analysis (STA), the differential displacement analysis (DDA), the slip vector analysis (SVA), the interplanar disregistry analysis (IDA) and the Nye tensor analysis (NTA). Among these functionalities, a specific implementation of the program includes the extension of the NTA method and the characterization of misfit dislocations at bicrystal interfaces by various methods. The automatic feature provides a high throughput solution to the specific atomistic analysis on a batch of atomic configurations. Furthermore, several critical remarks on the advantages and shortcomings of each analysis method are revealed and discussed comprehensively, which provides guidance for their applications in atomistic simulations.
DOI: 10.6084/m9.figshare.12563192.v5
title: CovMulNet19.zip

description: CovMulNet19 is a comprehensive network containing all available known interactions involving SARS-CoV-2 proteins, interacting-human proteins, diseases and symptoms that are related to these human proteins, and compounds that can potentially target them. Extensive network analysis methods, based on a bootstrap approach, allow us to prioritise a list of diseases that display a high similarity to \covid and a list of drugs that could potentially be beneficial to treat patients. As a key feature of CovMulNet19, the inclusion of symptoms allows a deeper characterization of the disease pathology, representing a useful proxy for CoVid19-related molecular processes. We recapitulate many of the known symptoms of the disease and we find the most similar diseases to COVID-19 reflect conditions that are risk factors in patients. <br>
DOI: 10.6084/m9.figshare.7897604.v2
title: 10 years average run O-N+

description: 10 years average of physical and biogeochemical variables in the O-N+ run of Dussin et al., Deep Sea Research part 2 (in rev)
DOI: 10.6084/m9.figshare.1293641.v1
title: #Ferguson12.18-12.20.xlsx

description: Twitter data on #Ferguson. See Project Descritpion for details.
DOI: 10.6084/m9.figshare.23677263.v1
title: <strong>“Back to the Fundamentals”: Global Trophic Levels and Functional Groups respond differently to Land Use Impacts</strong>

description: A global understanding of biodiversity responses to land use impacts can improve our future prediction to aid conservation planning and management. However, two problems hinder this: 1.) Land use impact studies are taxonomically biased. 2.) Land use history is understudied; To tackle these challenges, the function of biodiversity (trophic levels and functional groups) is focused on equally exploring responses to the effect of land type and intensity (LUTI), and history (LUH). I used PREDICTS to calculate LUTI species richness and assigned trophic levels and functional groups using Newbold et al.'s (2020) dataset, cGloNAF, and FunGuild. LUH was calculated from LUH-v2h. The species richness, LUH, and LUTI were modelled with a generalised linear mixed-effect model. Land use responses showed that producers’ richness benefited from intermediate disturbances, while consumers and decomposers suffered. Producers’ and decomposers’ species richness is better modelled by LUH, suggesting a soil legacy effect. Consumers were more impacted by LUTI. Responses to LUH revealed a co-interaction effect of: R-strategy dominating early recovery, carnivores and omnivores targeting sensitive herbivores, and decomposers richness depending on plant hosts. This study revealed the hidden responses of biodiversity function to LUTI and LUH. Future studies can aim to build on my work with finer functional groups, better fungal records, or incorporate distance to the closest forest.
DOI: 10.6084/m9.figshare.23807325.v1
title: Unveiling the Role of Hydrate Shedding in Subsea Gas Transportation Accounting for Evolving Shear Strength

description: This data is used to simulate changes in pressure drop within a pipeline due to hydrate generation during the transportation of submarine natural gas pipelines. This data provides valuable insights for managing hydrate-related challenges in submarine pipeline operations, opening new avenues for the efficient utilization of hydrate reservoirs.
DOI: 10.6084/m9.figshare.5074459.v2
title: Lobbying Data

description: Stata dataset of 2,118 Lobbying Disclosure Act reports from 574 organizations active on the 2014 Farm Bill. Data originally collected and coded by the Center for Responsive Politics. Includes name of organization, dollar amount of reported expenses, number of lobbyists, lobbyists with previous government experiences (revolving door), description of issue, sector and industry of organization, and topic codes (created by author).<br>The Excel file includes lobbying scores for each organization in the data set (n=574). Scores are based on a Principal Components Analysis of resources devoted to lobbying. There are separate worksheets for the overall ranking and by topic.<br><br>The associated Stata do-file includes commands to replicate the ranking of organizations (overall and by topic).
DOI: 10.6084/m9.figshare.23936079.v1
title: Supplementary Material for: TGF-β1 inhibition of ACE2 mediated by miRNA uncovers novel mechanism of SARS-CoV-2 pathogenesis.

description: SARS-CoV-2 utilizes receptor binding domain (RBD) of spike glycoprotein to interact with angiotensin-converting enzyme 2 (ACE2). Decreased cell surface density of ACE2 contributes to mortality during COVID-19. Studies published early during the pandemic reported that people with cystic fibrosis (PwCF) treated with the high efficiency CFTR modulators ETI (elexacaftor-tezacaftor-ivacaftor) had higher ACE2 levels and milder COVID-19 symptoms, compared to people without CF. Subsequent studies did not confirm these findings. TGF-β1 gene polymorphisms associated with higher TGF-β1 levels, present in approximately 40% of CF patients, lead to more severe CF lung disease. To understand whether TGF-β1 modulates COVID-19 severity by affecting ACE2 levels in the airway, we performed small RNAseq and microRNA profiling and identified pathways uniquely affected by TGF-β1, including those associated with SARS-CoV-2 invasion. TGF-β1 inhibited ACE2 expression by miR-136-3p and miR-369-5p. ACE2 levels were higher in CF bronchial epithelial cell models. ETI did not prevent TGF-β1 inhibition of ACE2. Finally, TGF-β1 reduced the interaction between ACE2 and RBD by lowering ACE2 levels and its binding to RBD. Our data demonstrate novel mechanism whereby TGF-β1 inhibition of ACE2 in CF and non-CF bronchial epithelia may modulate SARS-CoV-2 pathogenicity and COVID-19 severity. By reducing ACE2 levels, TGF-β1 may decrease entry of SARS-CoV-2 into host cells while hindering recovery from COVID-19 due to loss of anti-inflammatory effects of ACE2.