cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ddcsmwkfxw
title: Daily GBP Gold Price 1919-68

description: Daily London Gold Fixings price from 1919-68 constructed from an Annual Report of the Deputy Master and Comptroller of the Royal Mint, the Quins Metals Handbooks and Statistics and the Metal Bulletin magazine.
DOI: 10.25392/leicester.data.9632213.v1
title: Datasets to accompany Resilience, where to begin? A lay theories approach. (Currently under submission)

description: Samples relating to 12 analyses of lay-theories of resilience among participants from USA, New Zealand, India, Iran, Russia (Moscow; Kazan). Central variables relate to participant endorsements of resilience descriptors. Demographic data includes (though not for all samples), Sex/Gender, Age, Ethnicity, Work, and Educational Status.<br> <br>Analysis 1. USA Exploratory Factor Analysis data<br>Analysis 2. New Zealand Exploratory Factor Analysis data<br>Analysis 3. India Exploratory Factor Analysis data<br>Analysis 4. Iran Exploratory Factor Analysis data<br>Analysis 5. Russian (Moscow) Exploratory Factor Analysis data<br>Analysis 6. Russian (Kazan) Exploratory Factor Analysis data<br>Analysis 7. USA Confirmatory Factor Analysis data<br>Analysis 8. New Zealand Confirmatory Factor Analysis data<br>Analysis 9. India Confirmatory Factor Analysis data<br>Analysis 10. Iran Confirmatory Factor Analysis data<br>Analysis 11. Russian (Moscow) Confirmatory Factor Analysis data<br>Analysis 12. Russian (Kazan) Confirmatory Factor Analysis data
DOI: 10.6084/m9.figshare.12929075.v1
title: Pneumonia_bbl_cmb.xls

description: covid cases
DOI: 10.6084/m9.figshare.21518916.v1
title: Data from: "Single cell transcriptomics identifies prothymosin α restriction of HIV-1 in vivo<em>"</em>

description: Data needed to recreate main figures/analysis in "Single cell transcriptomics identifies prothymosin α restriction of HIV-1 in vivo"
DOI: 10.6084/m9.figshare.26089365.v1
title: HiGTS_2021s4

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2021s4 contains the data from October 1, 2021 to December 31, 2021.
DOI: 10.15468/dl.7phxa8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.2542 -7.2836,40.3029 -7.1504,35.9648 -7.1504,35.9648 -16.1504,40.6365 -16.1504,41.3042 -15.0287,41.3321 -14.414,41.0824 -13.7539,41.0579 -13.1811,41.2109 -10.9003,40.7985 -9.9904,40.2764 -9.7003,39.994 -8.7002,40.4062 -7.7189,40.2542 -7.2836))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013299-250525065834625/datasets/export for details.
DOI: 10.17632/ckrbcfmmbw
title: National Strategic Reference Framework (N.S.R.F.) 2007-2013, Greece Data for R&D projects: Indicators of absorption, evaluation and effectiveness

description: National Strategic Reference Framework (N.S.R.F.) 2007-2013, Greece Data for R&D projects: Indicators of absorption, evaluation and effectiveness Primary Research Data for all R&D projects Public expenditure by R.T.D.I. sector and beneficiary, by Sector and subsector R.T.D.I, by Region and Beneficiary, by Operational Program, by Regional Operational Program, public expenditure by beneficiary Descriptive data of result indicators for the implemented research projects of the programming period 2007-2013
DOI: 10.17632/d2x8rw83jb
title: MD2D: A python module for accurate determination of diffusion coefficient from molecular dynamics

description: Self-diffusion coefficient can be derived from molecular dynamics (MD) simulations by fitting the mean squared displacement (MSD) into the Einstein relation. However, the finite system size, nonfulfillment of the Brownian motion, and finite simulation time may bring in significant uncertainties that need to be estimated. We present a python module to facilitate the accurate determination of self-diffusion coefficient from the Einstein relation. We show that the ballistic stage can be clearly recognized and excluded to improve the accuracy and efficiency of self-diffusion coefficient calculation. The correct self-diffusion coefficient and its uncertainty can be conveniently obtained by taking the ensemble average of diffusion coefficients calculated at different time intervals. At the meantime, the module calculates viscosity that can correct the MD-derived self-diffusion coefficient to the thermodynamic limit.
DOI: 10.17632/ybr3pr7bz8
title: Machine Learning-Based Prediction of Acoustic Indicators for Enhanced Educational Building Comfort

description: The dataset comprises two types: numerical data and heat maps. The numerical dataset includes extensive parametric simulations of acoustic indicators in different geometric configurations using the Grasshopper and Pachyderm plugins. These datasets were utilized to predict both numerical and visual acoustic indicators using the CatBoost algorithm and the pix2pix algorithm. The results demonstrate remarkable accuracy, ranging from 89% to 99% in the numerical portion using CatBoost, with PSNR indices ranging from 0.817 to 0.970, and SSIM indices ranging from 15.56 to 31.57 in the visual section.
DOI: 10.6084/m9.figshare.12073278.v6
title: A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017

description: The GIS database contains the data of stand-replacing windthrow areas in the forest zone of the European Russia (ER) for the 1986–2017 period, and the ArcGIS 10.1/10.2 and Qgis 3* projects to view and analyze the data. The database contains three shapefiles (.shp), corresponding to three hierarchical levels of the data: • “Elementary damaged area”, that is a single-part polygon of wind-damaged forest; • “Windthrow”, that represent a group of closely spaced forest disturbances, i.e., a multipart polygon, associated with one storm event; • “Storm event track”, that is a cluster of windthrow areas with identical direction and having the same date (or date range) of occurrence, which was most likely induced by one convective or non-convective storm. The key fields ID and storm_ID associates each damaged area with the features in the datasets of windthrows and storm event tracks respectively using one-to-many relation. A single value “‒9999” was used for storing NoData in all fields of the attribute table. All data and projects have WGS 1984 coordinate system (without projection). Delineation of windthrow areas was based on the full archive of Landsat images and two Landsat-derived products on forest cover change, namely the Global Forest Change and the Eastern’ Europe Forest Cover Change. Subsequent verification and analysis of each windthrow was carried out to determine a type of storm events with a degree of event certainty, dates (date ranges) and time (time ranges) of an event, windthrow geometrical characteristics. The database contains 102,747 elementary areas of damaged forest that were combined into 700 windthrow areas caused by 486 convective or non-convective storm events. The database includes stand-replacing windthrow only, which an area &gt; 5 ha or &gt; 25 ha for events caused by tornadoes or other storms, respectively. Additional information contained weather station reports and event description from media sources is also provided.. The compiled database provides a valuable source of spatial and temporal information on windthrows in the ER and can be successfully used both in forestry and severe storm studies.
DOI: 10.6084/m9.figshare.12117891.v1
title: Crowdfunding_Data.csv

description: This dataset accompanies a submission entitled "Does a good video matter to secure crowdfunding? The use of bio-metric data to understand viewer engagement into crowdfunding" to the journal Electronic Commerce Research.The file is in CSV format, each of the 35 variables are named and there are 222 cases.<br><br>
DOI: 10.6084/m9.figshare.3531317.v1
title: Data Paper. Data Paper

description: File List Each data set has its own file and its own metadata documenting the data collection details and data set structure. <b>Rodents:</b> <i>Data file</i> (see log of corrections)<i>-- </i> Portal_rodents_19772002.csv <i>Metadata -- </i> Portal_rodent_metadata.htm <b>Plants:</b> <i>Data files -- </i> Portal_plant_summer_annual_19831988.csv Portal_plant_summer_perennial_19831988.csv Portal_plant_summer_annual_19892002.csv Portal_plant_summer_perennial_19892002.csv Portal_plant_winter_annual_19831988.csv Portal_plant_winter_perennial_19831988.csv Portal_plant_winter_annual_19892002.csv Portal_plant_winter_perennial_19892002.csv <i>Metadata -- </i> Portal_plant_metadata.htm <b>Ants:</b> <i>Data files -- </i> Portal_ant_colony_19771987.csv Portal_ant_colony_19882002.csv Portal_ant_bait_19882002.csv <i>Metadata -- </i> Portal_ant_metadata.htm <b>Precipitation:</b> <i>Data files -- </i> Portal_precipitation_19801989.csv Portal_precipitation_19892002.csv <i>Metadata --</i> Portal_precipitation_metadata.htm Description Desert ecosystems have long served as model systems in the study of ecological concepts (e.g., competition, resource pulses, top-down/bottom-up dynamics). However, the inherent variability of resource availability in deserts, and hence consumer dynamics, can also make them challenging ecosystems to understand. Study of a Chihuahuan desert ecosystem near Portal, Arizona, began in 1977. At this site, 24 experimental plots were established in 1977 and divided among controls and experimental manipulations. Experimental manipulations over the years include removal of all or some rodent species, all or some ants, seed additions, and various alterations of the annual plant community. While some of these manipulations were discontinued early on, others (i.e., ant and rodent manipulations) have been maintained throughout the study. Monitoring of the composition and abundances of ants, plants, and rodents has occurred continuously on all 24 plots. From 1977–2002, individual-level data on rodents (i.e., species, sex, size, reproductive condition) was collected monthly for each plot. From 1983–2002, the species-level abundances of plants were sampled on permanent quadrats. From 1977–2002, the species-level abundance of ant colonies was recorded for each plot and from 1988–2002 additional information on ant abundances were recorded. Finally, from 1980–2002 we recorded precipitation at the study site. These data have been used in a variety of publications documenting the effects of the experimental manipulations as well as the response of populations and communities to long-term changes in climate and habitat. Sampling is ongoing and this database will be periodically updated. <i>Key words: ants; Chihuahuan Desert; LTREB data; plants; rodents</i>.
DOI: 10.6084/m9.figshare.7379492.v1
title: Data Availability.xlsx

description: Temperature and strain data in concrete slabs are monitored by embedding semiconductor temperature sensors and vibration wire strain sensors. Maximum tensile stresses in concrete slabs with different slab sizes, thicknesses and length to width ratios are obtained by using the finite element method.<br><br>
DOI: 10.17632/rdwn4bs5ky
title: BANSpEmo: A Bangla Language Emotional Speech Recognition Dataset

description: For languages with low resources like the Bangla language, BANSpEmo is the third audio dataset for emotional speech recognition (SER). BANSpEmo consists of 792 utterance recordings of six basic emotional reactions of two sets of sentences. Each set has six sentences. Speakers are explained the emotional states and utterances are recorded in a more realistic way than just reading the sentences. These emotional states are Disgust (বিতৃষ্ণা),  Happy (খুশি),  Sad (দুঃখজনক), Surprised (বিস্মিত), Anger (রাগ), Fear (ভয়). The produced corpus includes voice recordings from 22 unprofessional speakers, 11 of whom are male and 11 of whom are female. The audio recording was for two sets of sentences.
DOI: 10.6084/m9.figshare.28661279.v1
title: Unfiltered Variant Call Format (VCF) files containing raw somatic and germline variant calls derived from whole genome sequencing of bone marrow and extramedullary acute myeloid leukemia (AML) samples.

description: This project investigates the genomic and immunogenetic landscape of extramedullary acute myeloid leukemia (AML), a rare and poorly understood manifestation of AML that occurs outside the bone marrow.
DOI: 10.6084/m9.figshare.29155250.v2
title: Matbench Discovery Benchmark Files for PET-MAD

description: Benchmark results for the Matbench Discovery benchmark.
DOI: 10.6084/m9.figshare.20291325.v2
title: Raw datasets and phylogenetic topology based on BUSCO and exon approaches

description: The raw datasets and phylogenetic topology based on BUSCO and exon approaches in our chondrichthyan Phylogenomics study.
DOI: 10.6084/m9.figshare.27506826.v1
title: <b>Code and data for: Click beetles (Elateridae) identify conservation units in Oriental and European beech forests</b>

description: Beech trees form major parts of lowland temperate forests in the Western Palearctic. To protect biodiversity, many beech forests have been designated as World Heritage Sites or established as networks of beech forest reserves. However, the insect communities within these protected forests have not been well explored. In this study, elaterids (Elateridae, Coleoptera) in 26 beech forests, from France in the west to Iran in the east, were sample to identify conservation clusters and hotspots of biodiversity. Sampling was mostly carried out using window traps and all specimens were identified to the species level, resulting in the detection of 118 species including one previously unreported species. Community composition analyses that focused on rare species identified five clusters comprising distinct communities: (i) the Hyrcanian Forest in Iran, (ii) the Lesser Caucasus in Türkiye, Georgia and Armenia, (iii) the Greater Caucasus in Georgia, (iv) the Pyrenees and (v) a cluster made up of forests from Central Europe, the Balkan region and the Carpathians. After controlling for sampling effort (individuals), the highest richness was found in the Caucasus region. The proportion of endemics was highest in the Oriental beech forests of the Caucasus and in Hyrcanian forests. Our findings support calls for intensified conservation actions in beech forests, particularly those in the Caucasus region and in Hyrcanian forests, due to their unique fauna.
DOI: 10.17632/69vz984y9t
title: Reverse faults amplify coseismic landsliding on hanging wall hillslopes

description: Data for research article "Reverse faults amplify coseismic landsliding on hanging wall hillslopes".
DOI: 10.6084/m9.figshare.12838280.v1
title: QIIME2 workflow

description: Workflow from QIIME2 for read processing, taxonomic assignment, and alpha and beta diversity analyses.<br>
DOI: 10.6084/m9.figshare.13060247.v3
title: Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

description: Single Cell Transcripts T2<br>Data List:https://figshare.com/articles/dataset/Single_Cell/14518056<br>
DOI: 10.6084/m9.figshare.13140140.v1
title: BreastSubtypes.txt

description: Annotation of cell line models according to clinical Breast subtypes including PAM50 classification
DOI: 10.6084/m9.figshare.1342758.v2
title: Photographic coverage of defunct whaling station Old Bakery (43) site in Grytviken, South Georgia

description: The Old Bakery (43) at Grytviken, South Georgia photographed in 360 degrees. South Georgia photography taken on expedition in Austral summer 2013-2014, sponsored by the South Georgia Heritage Trust, the Association for Industrial Archaeology, the Government of South Georgia and the South Sandwich Islands, and University of Dundee. Data collected in the PhD research project of Scott Smith, located within the Centre for Remote Environments at Duncan of Jordanstone College of Art and Design at University of Dundee and is supported by the Engineering and Physical Sciences Research Council, the SGHT, the GSGSSI, and Frederik Paulsen. CC -BY -NC
DOI: 10.6084/m9.figshare.17119127.v1
title: data.xlsx

description: 我们研究中使用的数据
DOI: 10.6084/m9.figshare.27612978.v1
title: New Inflammation Markers in Patients with Obsessive-Compulsive Disorder

description: Objectives: The aim of the study was to examine the levels of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) in obsessive-compulsive disorder (OCD). Background: SII and SIRI are new, cheap and easy parameters indicating systemic inflammation. Methods: In this retrospective, naturalistic, cross-sectional study, we collected the hematological parameter data of 500 patients with OCD and 309 healthy subjects served as the healthy control group. Results: Leukocytes, neutrophil, platelet counts, and mean platelet volume, platelet distribution width, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, SII, and SIRI values were significantly higher in the obsessive-compulsive disorder group compared to healthy controls (p&lt;0.001, p&lt;0.001, p&lt;0.001, p&lt;0.001, p&lt;0.001, p&lt;0.001, p=0.003, p&lt;0.001, p=0.003 respectively). Looking at the t-test result regarding the significance of the logistic regression coefficients, SII (p=.005) is a significant predictor of OCD. Based on the Receiver Operating Characteristic analysis, SII had the highest area under curve value (AUC=0.630, p&lt;0.001, cut-off=503.72). It was found to be able to diagnose OCD with a sensitivity of 62.2% and a specificity of 62.2%. Conclusion: Inflammatory markers such as neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, SII, and SIRI are thought to play an important role in the evaluation of inflammatory activity in OCD
DOI: 10.6084/m9.figshare.28171243.v1
title: STAR CCM+ Simulation file from Buzz Pollination: Investigations of Pollen Expulsion Using the Discrete Element Method

description: Simulation with parameter settings at 0.4 mm and 150 Hz
DOI: 10.6084/m9.figshare.14531589.v1
title: Dishwasher_winGRU_saved_model

description: WindowGRU trained model for dishwasher
DOI: 10.6084/m9.figshare.24867018.v3
title: Bassez et al. (2021) <b>Breast Cancer processed dataset</b>

description: Processed Seurat objects in .rds format with single-cell dataset obtained from Bassez et al. (2021) Nature Medicine (https://www.nature.com/articles/s41591-021-01323-8).<b>BassezA_2021_33958794_downsampled</b>: Seurat object including all samples (42) with random downsampling to max 1000 cells per sample, without any further filtering.<b>BassezA_2021_33958794_3patients</b>: Seurat object with 3 patient samples from the original data set: "BIOKEY_11", "BIOKEY_30", and "BIOKEY_4" from "Pre" condition, without downsampling or further per sample filtering.<br>
DOI: 10.6084/m9.figshare.25952185.v1
title: results

description: Results of WUE sensitivity to soil moisture changes
DOI: 10.6084/m9.figshare.7174922.v2
title: scRNA-seq Datasets

description: "*.csv" files contain the single cell gene expression values (log2(tpm+1)) for all genes in each cell from melanoma and squamous cell carcinoma of head and neck (HNSCC) tumors. The cell type and origin of tumor for each cell is also included in "*.csv" files.The "MalignantCellSubtypes.xlsx" defines the tumor subtype."CCLE_RNAseq_rsem_genes_tpm_20180929.zip" is downloaded from CCLE database.<br>
DOI: 10.6084/m9.figshare.7951415.v1
title: Global maps of Biodiversity Intactness Index (Sanchez-Ortiz et al., 2019 - bioRxiv )

description: Global maps of biodiversity intactness for the year 2005 (abundance-based BII and richness-based BII). These high-resolution rasters were used to plot Figure 1 in "Land-use and related pressures have reduced biotic integrity more on islands than on mainlands" (Sanchez-Ortiz et al., 2019). We have updated methods previously used to estimate BII globally (Newbold et al., 2016) to allow pressure effects to differ between islands and mainlands, while also implementing some other recent improvements in modelling.
DOI: 10.17632/7tg28xns3m
title: Multi-modal and multi-view image dataset of weeds  in wheat field 

description: We proposed a Multi-modal and Multi-view Image Dataset of Weeds in Wheat Field (MMDWWF) that can be used for deep learning. The dataset contains wheat and grass images of two modes and nine views, aiming to provide an open, high-quality and larger-scale weeds dataset to promote the development of weeds detection methods in wheat field.
DOI: 10.17632/hk66jsxzrr
title: The effects of low-doses UVA irradiation on HaCaT keratinocytes

description: We examined the effects of low-doses UVA irradiation on HaCaT keratinocytes with the aim of identifying UVA-induced effects on cell motility proteins. For this purpose, a comparative proteomic analysis of HaCaT keratinocytes was performed before and after irradiation with two cumulative UVA doses of 5 J/cm2 (UVA1) and 25 J/cm2 (UVA2). A total of 514 common proteins were detected for all three groups of cells. Moreover, more than half of these proteins changed their expression in response to UVA exposure even at low doses. Proteins associated with the biological process "Cell response to stress", (GO:0033554) were most strongly upregulated. 23 proteins associated with the biological process GO:0048870 - "cell motility", which are involved in the adaptive response to stress (e.g. UV radiation), were identified. 20 cell motility proteins were significantly upregulated, of which cytoskeletal actin-binding proteins were the major group. It is hypothesized that changes in the content of cell motility proteins in HaCaT keratinocytes can apparently be used to study physiological and pathological processes, particularly processes during wounding and wound healing.