cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21545781.v1
title: Lazega-Law-Firm_Multiplex_Social.zip

description: This README file accompanies the dataset representing the multiplex social network of a corporate law partnership. If you use this dataset in your work either for analysis or for visualization, you should acknowledge/cite the following papers: "The Collegial Phenomenon: The Social Mechanisms of Cooperation Among Peers in a Corporate Law Partnership" Emmanuel Lazega Oxford University Press (2001) <br> "New specifications for exponential random graph models" Tom A.B. Snijders, Philippa E. Pattison, Garry L. Robins, and Mark S. Handcock Sociological Methodology (2006), 99-153. <br> ### Description of the dataset <br> The multiplex social network consists of 3 kinds of (Co-work, Friendship and Advice) between partners and associates of a corporate law partnership. <br> There are 71 nodes in total, labelled with integer ID between 1 and 71, with 2223 connections. The multiplex is directed and unweighted, stored as edges list in the file Lazega-Law-Firm_multiplex.edges <br> with format <br> layerID nodeID nodeID weight <br> (Note: all weights are set to 1) <br> The IDs of all layers are stored in <br> Lazega-Law-Firm_layers.txt <br> The IDs of nodes can be found in the file <br> Lazega-Law-Firm_nodes.txt <br> The values for the 8 columns (attributes) are: <br> 1. node id 2. status (1=partner; 2=associate) 3. gender (1=man; 2=woman) 4. office (1=Boston; 2=Hartford; 3=Providence) 5. years with the firm 6. age 7. practice (1=litigation; 2=corporate) 8. law school (1: harvard, yale; 2: ucon; 3: other) <br> <br> ### License <br> The LAZEGA-LAW-FIRM MULTIPLEX DATASET is provided "as is" and without warranties as to performance or quality or any other warranties whether expressed or implied. <br> <br>
DOI: 10.6084/m9.figshare.28082066.v1
title: EPI-Clone dataset X.2: EPI-Clone + Mitochondrial mutation profiling from PBMCs of a healthy donor

description: This is a dataset supporting the EPI-Clone manuscript: Targeted single cell methylation profiling of PBMCs was performed with the scTAMseq method.Dataset is an R Data File (RDA) with two Seurat objects, created by the EPI-Clone algorithm. all_cells : EPI-Clone run on all cells, T_Cells: EPI-Clone run on T cells only.<b>ASSAYS:</b>AB: Antibody expression dataDNAm: DNA methylation data, containing binary observations (0: amplicon not observed, i.e. dropout or absence of DNA methylation, 1: amplicon observed, i.e. DNA methylation). See the paper on scTAMseq<b>DIMENSIONALITY REDUCTION</b>methPCA, methUMAP, protPCA, protUMAP: PCA and UMAP performed on methylation and surface protein data, respectivelyclonePCA, cloneUMAP: PCA and UMAP computed by EPI-Clone on static CpGs.<b>METADATA</b>CHOIR_clusters_0.05 : EPI-Clone IDphenotype: Cell type annotationchrM...: Genotyping of mitochondrial variants. ref refers to reads supporting the reference allele, alt to reads supporting the alternative allele, and ratio to the comuted heteroplasmy. Coordinates are hg19. Coordinates in the manuscriopt are hg38, for compatibiltiy with https://www.biorxiv.org/content/10.1101/2023.04.23.537997v1
DOI: 10.6084/m9.figshare.28892858.v1
title: <b>Masturbation and Sexual Relationship in the Heterosexual Couple Context: Examining Sexual Functioning</b>

description: <b>Masturbation and Sexual Relationship in the Heterosexual Couple Context: Examining Sexual Functioning</b><br>Oscar Cervilla, Carmen Gómez-Berrocal, and Juan Carlos Sierra<br>Mind, Brain and Behavior Research Center, University of Granada, Spain
DOI: 10.6084/m9.figshare.5121049.v1
title: Supplementary Material for: Metakognitive und andere kognitiv-verhaltenstherapeutische Verfahren bei posttraumatischer Belastungsstörung

description: In dieser Arbeit sollen Grundannahmen und Interventionen der Metakognitiven Therapie (MKT) zur Behandlung von posttraumatischen BelastungsstÖrungen (PTBS) mit denen der Kognitiven Verhaltenstherapie (KVT) verglichen werden. In der KVT gelten Vermeidung und dysfunktionale GedÄchtnisprozesse («TraumagedÄchtnis») sowie problematische Kognitionen als ursÄchlich fÜr die Ausbildung einer PTBS. Als wichtigste Intervention gelten daher Expositionsbehandlung und kognitive Umstrukturierung. In der MKT gelten dysfunktionale kognitive und Aufmerksamkeitsprozesse (GrÜbeln, Sorgen, Vermeidung, GedankenunterdrÜckung, selektive Aufmerksamkeit fÜr Gefahrenquellen) als Ursachen der PTBS. Exposition oder Diskussionen von Gedankeninhalten werden nicht als notwendig erachtet, vielmehr werden die Patienten angeleitet, Traumaerinnerungen aus innerer Distanz achtsam wahrzunehmen («losgelÖste Achtsamkeit») und scheinbar unkontrollierbare perseverierende Denkprozesse (GrÜbeln und Sorgen) zu kontrollieren. Erste empirische Wirksamkeitsnachweise fÜr Erwachsene und eigene Erfahrungen in der Arbeit mit Kindern und Jugendlichen sind vielversprechend.
DOI: 10.17632/76kzr3psmw
title: The role of serum albumin and nutritional index in predicting post-stroke cognitive impairment: a systematic review and meta-analysis

description: This study is a meta-analysis of the predictive value of albumin and its related nutritional indicators for cognitive impairment after stroke. Our study found that patients with post-stroke cognitive impairment had poor nutritional status, specifically lower serum albumin levels, lower geriatric nutritional risk index, and lower HALP scores.
DOI: 10.6084/m9.figshare.12775967.v3
title: Eom_datasets

description: <b>Increase in household energy consumption due to ambient air pollution</b>
DOI: 10.6084/m9.figshare.3167071.v2
title: Quantifying the Bechdel test of gender representation in major and independent film

description: To facilitate discussion of gender issues in media such<br>as film, it is useful to develop quantitative measures<br>which can be applied to a film corpus. In order to<br>scale to large film corpora, ideally we seek measures<br>which are not labour-intensive to apply. A simple test<br>popularised by Alison Bechdel is a lightweight way to<br>probe women’s representation in a film, and we use<br>this as the basis of a quantitative measure. However,<br>the original test is gender-asymmetric, which compli-<br>cates hypothesis testing. We describe a symmetrised<br>version of the test, and use it to analyse a corpus of<br>films from the year 2006, studying the output of the<br>US “Big 6” major companies as well as a sample of<br>popular “indie” companies. We find strong evidence<br>for gender imbalance as measured by the test, and<br>no difference in this respect between major and indie<br>companies. We discuss the usefulness and statisti-<br>cal power of the symmetrised Bechdel test and the<br>derived Bechdel coefficient.<br>
DOI: 10.17632/7s2cv9kjfs
title: py-fmas: A python package for ultrashort optical pulse propagation in terms of forward models for the analytic signal

description: We present a flexible, open-source Python package for the accurate simulation of the z-propagation dynamics of ultrashort optical pulses in nonlinear waveguides, especially valid for few-cycle pulses and their interaction. The simulation approach is based on unidirectional propagation equations for the analytic signal. The provided software allows to account for dispersion, attenuation, four-wave mixing processes including, e.g., third-harmonic generation, and features various models for the Raman response. The propagation equations are solved on a periodic temporal domain. For z-propagation, a selection of pseudospectral methods is available. Propagation scenarios for a custom propagation constant and initial field pulses can either be specified in terms of a HDF5 based input file format or by direct implementation using a python script. We demonstrate the functionality for a test-case for which an exact solution is available, by reproducing exemplary results documented in the scientific literature, and a complex propagation scenario involving multiple pulses.
DOI: 10.17632/t2bjs7k6h5
title: Raw numerical data of the figures

description: This file contains the numerical data of the figures presented in the manuscript.
DOI: 10.17632/w3w3rrdcrv
title: New member of Plasmodium (Vinckeia) and P. cyclopsi discovered in bats in Sierra Leone – nuclear sequence and complete mitochondrial genome analyses

description: Data: Nucleotide sequence alignments that were used for phylogenetic analyses and genetic distance tables of the study: New member of Plasmodium (Vinckeia) and P. cyclopsi discovered in bats in Sierra Leone – nuclear sequence and complete mitochondrial genome analyses.
DOI: 10.6084/m9.figshare.12055830.v1
title: Australian arbovirus database

description: A FASTA file containing sequences for arboviruses that have been found in Australia. Whole genome sequences were used in the database if publicly available, and segmented genomes were merged so that each arbovirus was represented by a single sequence.
DOI: 10.6084/m9.figshare.26000254.v2
title: <b>Supply Chain Finance and Soft Budget Constraints: A Nonlinear Threshold Effect Perspective from China</b><b>’</b><b>s Listed Companies</b>

description: <b>Supply Chain Finance and Soft Budget Constraints: A Nonlinear Threshold Effect Perspective from China</b><b>’</b><b>s Listed Companies</b><br>
DOI: 10.17632/y6936wrfty
title: Rawa data accreta

description: Raw data of sFlt-1 and PLGF
DOI: 10.6084/m9.figshare.20960476.v1
title: Effect of temperature on sporulation and spore development of giant kelp (Macrocystis pyrifera)

description: This dataset was collected to determine the effect of elevated temperature on the early life stage of Macrocystis pyrifera. Five parameters including spore production, spore settlement, spore germination, survivorship and germ-tube length were observed.
DOI: 10.17632/jmvjfhj59p
title: Main Street's Pain, Wall Street's Gain
DOI: 10.6084/m9.figshare.11450055.v1
title: PBT138-high-medium-low from Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data

description: Chimeric antigen receptor (CAR) T-cell therapy has shown promise in the treatment of haematological cancers and is currently being investigated for solid tumours, including high-grade glioma brain tumours. There is a desperate need to quantitatively study the factors that contribute to the efficacy of CAR T-cell therapy in solid tumours. In this work, we use a mathematical model of predator–prey dynamics to explore the kinetics of CAR T-cell killing in glioma: the chimeric antigen receptor T-cell treatment response in GliOma (CARRGO) model. The model includes rates of cancer cell proliferation, CAR T-cell killing, CAR T-cell proliferation and exhaustion, and CAR T-cell persistence. We use patient-derived and engineered cancer cell lines with an <i>in vitro</i> real-time cell analyser to parameterize the CARRGO model. We observe that CAR T-cell dose correlates inversely with the killing rate and correlates directly with the net rate of proliferation and exhaustion. This suggests that at a lower dose of CAR T-cells, individual T-cells kill more cancer cells but become more exhausted when compared with higher doses. Furthermore, the exhaustion rate was observed to increase significantly with tumour growth rate and was dependent on level of antigen expression. The CARRGO model highlights nonlinear dynamics involved in CAR T-cell therapy and provides novel insights into the kinetics of CAR T-cell killing. The model suggests that CAR T-cell treatment may be tailored to individual tumour characteristics including tumour growth rate and antigen level to maximize therapeutic benefit.
DOI: 10.6084/m9.figshare.13095380.v9
title: Data for "Genetic erosion reduces biomass temporal stability in wild fish populations."

description: "Prunier et al._Biomass_Genetic_Environmental data.txt": Data used in path analyses. For each STATION, the dataset provides : - sample WEIGHTs used in causal models, - total fish biomass BIOM, - biomass stability BSTA, - per capita mean biomass pcBIOM, - per capita mean biomass stability pcBSTA, - bottleneck probability BOT, - intraspecific genetic diversity IGD, - upstream-downstream gradient UGD - eutrophic gradient EG. Interactions are obtained as the cross-products of corresponding variables. <br> "Prunier et al._R-code.R" R-code used to perform path analyses and produce figures 2 to 4. <br> "SEM_interplot.R" Custom R-code to predict endogeneous variables with 95% confidence intervals (to be used with outputs from lavaan::parameterEstimates) <br> "Prunier_et_al._GeneticData.rda" Raw genetic data used to compute IGD, in .rda format. Loading this file in R opens "GeneticData", a list-object composed of three sublists (one for each species), each containing raw microsatellite individual genotypes in .genind format (R-library adegenet) and Poolseq population-based SNP allelic frequencies. <br> "Prunier et al._RawBiomassData.txt" For each station, each species and each sampling session (Year and Date provided), raw biomass (in g.m-²) and density (in number of individuals per m²) data. <br> "Prunier et al._RawEnvironmentalData.txt" For each station, environmental data (averaged over months and years for chemicals).
DOI: 10.6084/m9.figshare.19082540.v2
title: OCEAN mailing list data from open source communities

description: We present the data collected as part of the Open-source Complex Ecosystem And Networks (OCEAN) partnership between Google Open Source and the University of Vermont. This includes mailing list emails with standardized format spanning the past three decades from fourteen mailing lists across four different open source communities: Python, Angular, Node.js, and the Go language.<br>This data is presented in the following publication: Warrick, M., Rosenblatt, S. F., Young, J. G., Casari, A., Hébert-Dufresne, L., & Bagrow, J. P. (2022). The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories. In <i>2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR). </i>IEEE.<br>
DOI: 10.6084/m9.figshare.24212268.v1
title: S026.zip

description: Data for S026
DOI: 10.17632/5ty2wb6gvg
title: RDD2020: An Image Dataset for Smartphone-based Road Damage Detection and Classification

description: The RDD2020 dataset contains 26336 road images collected from India, Japan, and the Czech Republic with more than 31000 instances of road damage. The dataset contains annotation for four damage categories: Longitudinal Cracks(D00), Transverse Cracks(D10), Alligator Cracks(D20), and Potholes(D40); and is intended for developing deep learning-based methods to detect and classify road damage automatically. 
The images in RDD2020 were captured using vehicle-mounted smartphones, making it useful for municipalities and road agencies to develop methods for low-cost monitoring of road pavement surface conditions.
Further, the machine learning researchers can use the datasets for benchmarking the performance of different algorithms for solving other problems of the same type (classification, object detection, etc.). For instance, the Global Road Damage Detection Challenge (GRDDC'2020), organized as an IEEE Big Data Cup in 2020, utilized the dataset RDD2020 to evaluate the road damage detection models proposed by the participants. An overview of the challenge is provided in the video https://www.youtube.com/watch?v=8sh70wjn1aI. 
The readers may access the latest updates and the articles related to the dataset at https://www.researchgate.net/project/Global-Road-Damage-Detection.
DOI: 10.17632/dyttg5y8zp
title: Contagion mechanism of liquidity risk in the interbank network

description: All relevant code and data required to replicate all empirical and quantitative results included in the paper and its appendices.
DOI: 10.6084/m9.figshare.22126274.v1
title: All raw data, Real time PCR data and WB

description: All raw data, Real time PCR data and WB
DOI: 10.6084/m9.figshare.22580566.v1
title: Free viewing example session

description: One session of free viewing data from Yates et al., 2023. 1 Marmoset freely viewed full-field natural and artificial visual stimuli while gaze position was measured with high-resolution eye tracking and neurophysiology was recorded with silicone electrode arrays in primary visual cortex. Data are provided as a matlab file.
DOI: 10.17632/mgkbmytx63
title: A low-cost uniaxial cell stretcher for six parallel wells

description: Abstract: Cells in the lungs, the heart, and numerous other organs, are constantly exposed to dynamic forces and deformations. To mimic these dynamic mechanical loading conditions and to study the resulting cellular responses such as morphological changes or the activation of biochemical signaling pathways, cells are typically seeded on flexible 2D substrates that are uniaxially or biaxially stretched. Here, we present an open-source cell stretcher built from parts of an Anet A8 3D printer. The cell stretcher is controlled by a fully programmable open-source software using GCode and Python. Up to 6 flexible optically clear substrates can be stretched simultaneously, allowing for comparative multi-batch biological studies including microscopic image analysis. The cell yield from the cell culture area of 4 cm2 per dish is sufficient for Western-blot protein analysis. As a proof-of-concept, we study the activation of the Yes-associated protein (YAP) mechanotransduction pathway in response to increased cytoskeletal tension induced by uniaxial stretching of epithelial cells. Our data support the previously observed activation of the YAP transcription pathway by stretch-induced increase of cytoskeletal tension and demonstrate the suitability of the cell stretcher to study complex mechano-biological processes. ----- Files: • Acryl3MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the electronics and controller unit housing and the cell substrate molds. • Acryl6MM.pdf: Ready-to-cut file for the acrylic glass parts needed to build the stretcher unit. • MoldFrame.stl: Ready-to-print file for the 3D printed mold frame. • Clamp.stl: Ready-to-print file for the 3D printed stretching clamps. • Stretcher.zip: Customized version of the Raspbian operating version for the Raspberry Pi. • Raspberry_Pi_Imager_v1.2.zip: Open-source software for Windows PCs to install the Raspberry Pi operating system on a memory card. • Skynet_for_Stretcher.zip: Modified version of the SkyNet3D (Marlin) open-source firmware for Anet 3D printers. • Arduino-1.8.0.zip: Modified version of the Arduino integrated development environment for Windows PCs with a pre-installed driver for uploading software to the ANET A8 mainboard.
DOI: 10.48420/14912841.v1
title: XRD data set

description: All low angle XRD raw data
DOI: 10.6084/m9.figshare.19638864.v1
title: work stress Data (1).sav

description: This data file focus on occupational health in hospital settings during the Covid-19 pandemic.
DOI: 10.17632/jnhhh4v9zm
title: Multi-omics data integration provides insights into the post-harvest biology of a long shelf-life tomato landrace

description: In this study we investigated the transcriptome and epigenome dynamics of the tomato fruit during post-harvest in ‘Lucariello’. ‘Lucariello’ belongs to a group of landraces collectively known as ‘Piennolo del Vesuvio’. This dataset includes:
- RPKM expression values from three post-harvest stages of Lucariello fruits, time points RD0, RD60 and RD150. Each group has three biological replicates. The listed loci are from the Lucariello reference genome
- Raw expression counts of miRNA from the same samples
- DNA gene methylation levels from the same samples, divided for CG, CHG and CHH context
- ChIP-seq peaks for H3K4me3, H3K9K14ac, H3K27me3 from the same samples, two biological replicates
- Supplementary tables described in the main manuscript providing lists of Differentially Methylated Regions (DMR) and Differentially Expressed Genes (DEGs) across the different time points
DOI: 10.17632/ytc64xwcr5
title: GraphIAST: A graphical user interface software for Ideal Adsorption Solution Theory (IAST) calculations

description: Industrial exhaust gases have a strong environmental impact, including on global warming. Carbon dioxide (CO_2) is a prominent example of such an exhaust gas. Therefore, CO2 capture and storage in industrial processes is becoming increasingly important. Preferably, these emitted gases are separated before their release into the environment. Such applications require selective gas separation to isolate the harmful gases or to allow recycling of industrially relevant gases. Porous materials are promising candidates to achieve gas separation, since their large surface area enables them to adsorb large quantities while their selectivity can be tuned by controlling their chemical composition. Modelling adsorption behavior and calculating corresponding selectivities in multicomponent gas mixtures of such porous materials, which is essential to quantify their gas separation performance, can be achieved through the Ideal Adsorption Solution Theory (IAST), which can be challenging to perform. The current available softwares for IAST calculations demand programming knowledge that not every materials scientist has or has access to, limiting the development of new porous materials for gas separation purposes. In this paper, we present a simple, user-friendly program for IAST loading and selectivity predictions for binary gas mixtures based on the Python module pyIAST. We have developed a graphical user interface resembling commonly known software and made three-dimensional selectivity predictions easily accessible within just a few clicks. The input and output data structure relies on the widely used *.csv format and isotherm data can be fitted with various established models. Therefore, our software provides a platform for IAST calculations for non-programming researchers, which is expected to enable more materials scientists to screen their porous materials for desired gas separation properties.
DOI: 10.6084/m9.figshare.25594845.v1
title: Sex Male-Female.txt

description: Apparent survival and return rates of the thraupid Saffron Finch
DOI: 10.17632/3n9g2292h2
title: Dataset on Boss Failure in Type IV Pressure Vessels Under Internal Pressure Load

description: Type IV hydrogen storage vessels have been widely adopted in hydrogen-powered transportation systems. The Boss, a critical connecting component of type IV hydrogen storage vessels, plays a pivotal role in their overall safety evaluation, particularly with regard to its failure modes. This dataset is about the raw data of Boss, including chemical composition content and raw geometric data of Boss components. The Energy Dispersive Spectrometer (EDS) report provides elemental analysis results for Zone A and Zone B of the Boss fracture surface.
DOI: 10.17632/dbdr5bv7js
title: INVESTIGATION OF TEXTURAL CHANGES IN FOUR VARIETIES OF HYBRID TOMATO CULTIVAR FRUITS USING THE WARNER BRATZLER SHEAR FORCE TECHNIQUE

description: Okolotu G.I., Emumejaye E.P,
Okareme F. Oluka S.I., Okeke C.G., Eje 
B.E., Eze P.C., and Ewhrudjakpor C. E.
DOI: 10.6084/m9.figshare.12330560.v1
title: Sequencing data

description: The metagenomes (DNA) and metatranscriptomes (RNA) of early spring (ES) and late spring (LS) snow samples
DOI: 10.6084/m9.figshare.13607540.v2
title: WI-FI RSSI Indoor Data Set

description: RSSI data is collected to test the indoor performances of proposed filtering<br>techniques, measurements are carried out in two different indoor areas. Data is collected at 4m × 5m<br>and 4.95m×9.45m sized test beds, which were set up in different locations at Kadir Has University, Istanbul. Wireless access points are located around the corners of the test beds and markers are placed at every 50 cm and 45 cm<br>in TB1 and TB2, respectively. RSSI measurements are stored via NetSurveyor program running on a Lenovo<br>Ideapad FLEX 4 laptop, which has an Intel Dual Band Wireless-AC 8260 Wi-Fi adaptor.<br>At each measurement point, RSSI data is collected for 1 min with a sampling interval of 250 ms. <br>