cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r2gfzjcfsd
title: Over-dispersed Count data for number of journal articles published by university lecturers

description: The data set contain counts of the number of articles published by Covenant University Lecturers, in Ota, Ogun State, Nigeria. Being a sample of 126 lecturers; 99 from the College of Business and Social Sciences, and 27 from the College of Leadership of the number of articles published by the lecturers from 2013-2015. The response variable was the number of articles produced by the lecturer (NOP) which was obtained by counting. Predictors are Gender of lecturers (SEX), the male was coded 1, and female as 0, marital status (MS), married was coded as 1 and single as 0, the number of child(ren) of lecturer, (CHD), years of teaching/lecturing (EXP), cadre indicating whether senior or junior lecturer, Assistant lecturer, and lecturer II were categorized as Lower cadre, and coded as 0, while lecturer I up to professor were categorized as higher cadre, and coded as 1. Another predictor is the number of undergraduate course(s) taught within the period of observation (UGC), and number of postgraduate course(s) taught within the period of observation (UPC)..
DOI: 10.17632/xpccyg5w2x
title: Assessment of Haplotype-resolved genome assembly in TGY genome

description: The dataset includes three files, 10x.WH.phase.txt.gz, PB.WH.phase.txt.gz and ALLHiC.hapVar.snps.gz. The 10x.WH.phase.txt.gz is a file recorded the phased SNPs generated by whatshap using 10x Genomics Linked reads. Similarly, the PB.WH.phase.txt.gz contains phased SNPs by whatshap using PacBio long reads. And ALLHiC.hapVar.snps.gz contain the allelic variants identified by a comparison between two haplotypes using NUCMER program.
DOI: 10.6084/m9.figshare.25219736.v1
title: README.md

description: Analyzing market states of the S&P 500 components on a time horizon January 3, 2006 to August 10, 2023, we found the appearance of a new market state not previously seen and we shall discuss its possible implications as an isolated state or as a beginning of a new general market condition. We study this in terms of the Pearson correlation matrix and relative correlation with respect to the S&P 500 index. In both cases the anomaly shows strongly.
DOI: 10.6084/m9.figshare.5128795.v1
title: Supplementary Material for: DAPHNE: A New Tool for the Assessment of the Behavioral Variant of Frontotemporal Dementia

description: <b><i>Background:</i></b> The diagnosis of behavioral variant of frontotemporal dementia (bvFTD) relies primarily on clinical features and remains challenging. The specificity of the recently revised criteria can be disappointing, justifying development of new clinical tools. <b><i>Objective:</i></b> We produced a behavioral inventory named DAPHNE. This scale (adapted from Rascovsky's criteria) explores six domains: disinhibition, apathy, perseverations, hyperorality, personal neglect and loss of empathy. It is composed of ten items (five answer categories). The aim was (1) to assess the validity and reliability of DAPHNE and (2) to evaluate its contribution in differentiating patients. <b><i>Methods:</i></b> Two scores were computed: DAPHNE-6 (screening) from the six domains and DAPHNE-40 (diagnosis) from the ten items. Reliability and reproducibility were assessed. External validity was studied with the Frontal Behavioral Inventory (FBI) and the Frontotemporal Behavioral Scale (FBS). Finally, the diagnostic performance of DAPHNE was compared to revised criteria, FBI and FBS. <b><i>Results:</i></b> DAPHNE was administered to the caregivers of 89 patients, 36 with bvFTD, 22 with Alzheimer's disease, 15 with progressive supranuclear palsy and 16 with bipolar disorder. Reliability and reproducibility were excellent, as was external validity. DAPHNE-6 allowed bvFTD diagnosis (score ≥4) with a sensitivity of 92%, while DAPHNE-40 (score ≥15) had a specificity of 92%. <b><i>Conclusion:</i></b> We demonstrate excellent psychometric features for DAPHNE. This quick tool could help for both diagnosing and screening bvFTD.
DOI: 10.17632/gxf7fb2r6j
title: PL039 Triarchic Traits in SDMs

description: This project (a) links self-reported triarchic psychopathy traits to researcher-coded narrative features of self-defining memories and (b) links researcher-coded triarchic psychopathy traits as detected from transcripts of self-defining memories to a range of self-reported traits.
DOI: 10.6084/m9.figshare.25466866.v3
title: <b>Integrating hydrological knowledge into deep learning for DEM super-resolution</b>

description: Deep learning-based super-resolution methods have been successfully applied to DEM downscaling studies by designing structures and loss functions of the model. However, the design of super-resolution models with enhanced performance remains a challenge, particularly in the context of hydrological studies, which require high-resolution DEMs with correct hydrological characteristics. In this study, we introduce a super-resolution model that integrates hydrologic knowledge (HKSRCGAN), aiming for the model to effectively maintain topographic features as well as the hydrologic availability of the DEMs. FABDEM with 30 m spatial resolution，which removes buildings and vegetation, was used in the experiment to demonstrate the usability of the proposed method. The hydrological knowledge derived from surface flow direction and hydrological features are integrated into a deep learning algorithm to guide model training. The results show that the HKSRCGAN outperforms the bicubic interpolation, SRCNN, SRGAN, SRResNet methods in reducing topographic errors and maintaining hydrologic characteristics. In the test area, the entropy difference analysis shows that the DEM generated by HKSRCGAN is more similar to the information contained in the reference DEM. Furthermore, super-resolution models integrating hydrological knowledge are valuable for modeling terrain shaped mainly by gravity and surface water flows. In addition, deep learning-based models integrating hydrologic knowledge are expected to be applied in DEM upscaling to maintain consistent hydrological characteristics.
DOI: 10.6084/m9.figshare.26054176.v2
title: The Prisma checklist used for the systematic literature review

description: For the systematic literature review, the Prisma systematic review checklist was used and the manuscript followed this checklist as closely as possible.<br><br><br><br><br><br>
DOI: 10.6084/m9.figshare.5114116.v3
title: Sambucus nigra chorology

description: Distribution map of black elderberry (<i>Sambucus nigra</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.17632/ft3rjr9shf
title: Determinants of Development: Evaluation of Education

description: This study draws on a panel dataset from the World Development Indicators (WDI) covering
1995 to 2022 across diverse developing regions: Sub-Saharan Africa, South Asia, Latin
America & the Caribbean, East Asia & Pacific, Middle East & North Africa, and Europe &
Central Asia. High-income countries (those with a GNI per capita above $14,005) are filtered
out, sharpening the analysis on the development gap.
The Human Development Index (HDI) serves as the dependent variable given its
comprehensive portrayal of multidimensional development (education, health, income),
superior to purely economic indicators like GNI despite omitting political dimensions (UNDP,
2022). Core explanatory variables include educational attainment (school life expectancy),
institutional quality (derived and adjusted from Worldwide Governance Indicators), GDP per
capita, unemployment rate, investment (gross fixed capital formation), and life expectancy.
Statistically insignificant or highly collinear variables were omitted to ensure methodological
parsimony
DOI: 10.4121/16566954.v1
title: Data underlying the MSc thesis: An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline

description: The dataset is a result of the master thesis 'An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline'. It also includes an R script with details of the analysis. <br>An experimental research was conducted for the topic with measures of participants' motivation levels towards seeking professional psychological help, feeling of being heard, satisfaction with the service and perceived usefulness. The data was collected from participants recruited from Prolific.The type of data is discrete quantitative data.
DOI: 10.6084/m9.figshare.12998693.v1
title: Quantifying the trade-off between cost-efficiency and public acceptance for onshore wind

description: <i>Abstract: Cost-efficiency and public acceptance are competing objectives for onshore wind locations. We quantify the link between economic wind resources and beautiful landscapes with over 1.5 million ‘scenicness’ ratings of around 200,000 geotagged photographs from across Great Britain. We find evidence that planning applications for onshore wind are more likely to be rejected when proposed in more scenic areas. Compared to the technical potential of onshore wind of 1700 TWh at total costs of £280 billion, removing the 10% most scenic areas implies about 18% lower generation potential and 8-26% higher costs. We consider connection distances to the nearest electricity network transformer for the first time, showing that the connection costs constitute up to half of the total costs. The results provide a quantitative framework for researchers and policymakers to consider the trade-offs between cost-efficiency and public acceptance for onshore wind.</i><i><br></i><i>This dataset contains four Excel files with results for the four scenarios in our paper: <br></i>· Individual wind polygons[1] without network connections, <i>Turbine_no_conn</i> · Individual wind polygons with individual network connections to the nearest transformer, <i>Turbine_conn</i> · Wind polygons clustered into wind parks with network connections to the nearest transformer, based on the maximisation of the energy yield, <i>Wind_parks_EYield</i> – employed here as the “reference” scenario as considered most realistic · Wind polygons clustered into wind parks with network connections to the nearest transformer, based on the minimisation of the LCOEs, <i>Wind_parks_LCOE</i> <br>Another dataset contains the Regression data for wind project planning outcomes.<br> [1] A wind polygon is a suitable area for onshore wind plants, with space for one or more turbines, derived as outlined in the methods section. <i></i>
DOI: 10.6084/m9.figshare.28429727.v2
title: Historical Dataset of the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) in China (1951–2020)

description: The data were sourced from 700 benchmark ground observation stations or automatic stations covering most of the country. Precipitation data from 1951 to 2020 were obtained from the China Meteorological Data Sharing Service System (<b>http://data.cma.cn/en</b>) at a monthly timescale and were corrected for missing values using the Global Precipitation Climatology Centre (GPCC) dataset (<b>http://gpcc.dwd.de/</b>). Evapotranspiration data for the same period (1951–2020) were obtained from the global gridded dataset of monthly climate data developed by the Climatic Research Unit (CRU TS v4.06). Finally, the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) were computed at multiple timescales (e.g., SPEI-3, -6, -9, and -12 months) using the aforementioned datasets.
DOI: 10.6084/m9.figshare.4910702.v1
title: II.7 - Agrogenom final reconciliation within orthologous subfamilies and ancestral genome gene content reconstruction

description: Final step of reconciliation procedure, including the Wagner parsimony reconstruction of ancestral presence/absence states of orthologous subfamilies in ancestral genomes, hereby inferring events of gene gain (by horizontal transfer or origination of the lineage) and loss. These inferences are only based on the phylogenetic profile (i.e. gene presence/absence state in extant genomes) of the subfamily. Note transfers can be inferred, not relying on gene tree topology conflict information but only interpreting the heterogeneous patterns of presence.<br>The output of ancestral_content.py program here includes:<br><i>modified_trees/</i> folder: reconciled gene tree in phyloXML and serialized Python object (pickle) formats (analogous to content in refined_trees/ folder in item #II.6, updated to final reconciliation step<br><i>family_history_pickles/</i> folder: 41,664 gene family scenarios projected on the species tree, serialized Python object (pickle) format<br><i>ortho_subtrees/</i> folder: 41,664 gene family scenarios and reconciliation (i.e. projected on the species tree and the gene tree, respectiely), broken down by orthologous subfamily<br>NB: the 41,664 gene families include small gene families (&lt;3 sequences) for which no gene tree was computed and reconciled in the previous pipeline ; for those, only the Wagner parsimony reconstruction is used
DOI: 10.6084/m9.figshare.7096460.v2
title: Questionnaire to students about ICT in the classroom

description: This is an instrument that is applied to students to determine if their teachers use ICT in the classroom.<br>Este es un instrumento que se aplica a los estudiantes para determinar si sus profesores usan las TIC en el aula.<br><br>
DOI: 10.17632/8nb4cdwc9h
title: SDN-DDOS-TCP-SYN DATASET

description: The dataset has been created by performing TCP-SYN Flood attack. The Dataset contains 28 columns and 10,47,500 rows.
DOI: 10.6084/m9.figshare.17182985.v8
title: A bankfull geometry dataset for major exorheic rivers on the Qinghai-Tibet Plateau

description: Based on the Sentinel-2 and Landsat 5/7/8 multispectral instrument imageries combined with in-situ measured hydrological data, bankfull river geometry of six major exorheic river basins of the Qinghai-Tibet Plateau (the upper Yellow River, upper Jinsha River, Yalong River, Lantsang River, Nu River and Yalung Zangbo River) are presented. River surface of six mainstreams and major tributaries are included. For each river basin, two types of rivers are included: connected and disconnected rivers. Format of the dataset is .shp exported from the ArcGIS 10.5. Three products are included in the dataset: one original product (bankfull river surface dataset) and two derived products (bankfull river width dataset and bankfull river surface area dataset with a 1 km river length interval). These three products are in three folders. The first folder, “1-Bankfull River Surface”, contains river surface vectors for six river basins in the .shp file. The second folder, “2-Bankfull River Width”, contains bankfull river widths and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. The river width vectors in the .shp files are also provided in the second folder. The third folder, “3-Bankfull River Surface Area”, contains bankfull river surface areas and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. Three Supplementary Files are included: Supplementary File 1, tables and figures related to the dataset; Supplementary File 2, used for river surface extraction based on GEE platform; Supplementary File 3, used for river width extraction based on Matlab.
DOI: 10.6084/m9.figshare.20443215.v1
title: telomere data080622.xlsx

description: This file contains the data of telomere length of lung, colon, stomach, pancreas, liver, breast and kidney.
DOI: 10.6084/m9.figshare.7409843.v1
title: MRI Scan of Sweet Cherry (Prunus avium L.)

description: <b>The Scan</b>At bloom (late April) in 2016, the top of an 8-year-old sweet cherry tree, cultivar 'NY 119', planted at Michigan State University's Clarksville Research Center and trained to a standard central leader canopy architecture, was removed with a chain saw 1.5 m from the ground. All lateral branches below that point were removed to promote the sprouting of epicormic buds along the remaining trunk length. Prior to and following this topping, the tree was managed with standard fertility, irrigation, and pest management procedures with the rest of the ~ 0.25 ha experimental orchard. In August, a 1.14 m-long section of trunk was fully removed just above the graft union and dried at room temperature in the laboratory. In December, this trunk section was scanned at slice thickness set of 0.625 mm, at Michigan State University’s Department of Radiology (East Lansing, MI) using a whole body magnetic resonance scanner (GE Signa HDX 3.0T, Chicago, IL). The scan took slightly over a minute and produced 1871 images, each of which is 250x250 pixels. Contrast in the scanned image is created by differences in moisture content; contrast is greater in air-dried than fresh wood.<br><b>Files Included</b>This dataset includes the original dicom (dcm) files generated by the MRI machine (cherry_trunk_dcm.zip) and numpy files created using the pydicom module (cherry_trunk_npy.zip).<br><br>
DOI: 10.17632/z8k5cdsvc2
title: Wells Fargo 8-K reports database 2015 - 2019

description: We create a dataset which focuses on 8-K reports for the years 2015 - 2019 for Wells Fargo. An 8-K is a report of unscheduled material events or corporate changes at a company that could be of importance to the shareholders or the Securities and Exchange Commission (SEC). Also known as a Form 8K, the report notifies the public of events, including acquisitions, bankruptcy, the resignation of directors, or changes in the fiscal year. We have compiled this dataset, thanks to SEC's EDGAR tool.

The texts were pre-processed by applying a classical pipeline :

        - removal of non-alphanumeric characters;
        - lemmatisation;
        - removal of rare words and stopwords: we obtain a dictionary of 4377 distinct roots for the whole corpus.

This company published 672 reports for the years 2015 and 2019. 

The file is a list of two items. The first item is composed of all information about the 8K and extracted texts. The second item is the document-term matrix with the pre-processed texts with 672 texts and 4377 words. 

An example of 8-K can be found here https://www.sec.gov/files/form8-k.pdf.
DOI: 10.6084/m9.figshare.24836337.v1
title: Shapefiles for the paper 'The glacial geomorphology of west Cumbria'

description: This dataset includes shapefiles of glacial landforms and areas of surface deposits produced from Lake District glaciers and the Irish Sea Ice Stream (ISIS) during the Late Devensian in west Cumbria. Landforms were mapped from 1 m LiDAR digital terrain model (DTM) on ArcPro and subsequently verified via detailed field mapping and borehole records. Landforms include moraines, meltwater channels, palaeolakes, kame and kettle topography and outwash plains.
DOI: 10.6084/m9.figshare.28943708.v2
title: Terahertz Time-Domain Spectroscopy of Substituted Gadolinium Gallium Garnet

description: Raw data for journal article "Terahertz Time-Domain Spectroscopy of Substituted Gadolinium Gallium Garnet".Figure 1-6 are included.
DOI: 10.4121/14892258.v1
title: Data set at nominal torque used for torque estimation of Wind Turbine Gearboxes Using Fiber Optical Strain Sensors

description: Stationary torque data set at nominal level.<br>The data set was used for the calibration phase of the method presented in the paper "Input Torque Measurements for Wind Turbine Gearboxes Using Fiber Optical Strain Sensors": <br><br><br>The data set includes the following variables: -str_fos: strain from the 54 fiber optical strain sensors-t_fos: time associated to strain data-LSS_taco: data from inductive sensor at low-speed shaft (once per revolution pulse)-HSS_M1_torque: torque data from test bench torque transducer at position 1.-HSS_M2_torque: torque data from test bench torque transducer at position 2.<br>-t_dq: time associated to analogue signals LSS_taco, HSS_M1 and HSS_M2.
DOI: 10.6084/m9.figshare.12459905.v2
title: Oncorhynchus mykiss bowtie1 index

description: These six files are a bowtie1 index created from the rainbow trout (<i>Oncorhynchus mykiss</i>) genome. The index files were used to align small RNA-Seq files for microRNA alignment and annotation using miARma-Seq.<br>Genome information:GCF_002163495.1_Omyk_1.0_genomic.fna Downloaded April 9, 2019<br>Bowtie1 information:bowtie version 1.1.1, 64-bit, Built on localhost.localdomain, Tue Sep 30 15:43:08 EDT 2014, Compiler: gcc version 4.1.2 20080704 (Red Hat 4.1.2-54), Options: -O3 -m64 -Wl,--hash-style=both -DPOPCNT_CAPABILITY, Sizeof {int, long, long long, void*, size_t, off_t}: {4, 8, 8, 8, 8, 8}
DOI: 10.6084/m9.figshare.24427156.v3
title: OpenCitations Meta CSV dataset of OMID identifiers for all bibliographic resources and responsabile agents

description: This dataset contains a mapping between all the bibliographic resources and responsabile agents included in OpenCitation Meta (https://opencitations.net/meta) identified by an OMID and their corresponding PID(s) (e.g., DOI, PMID, ORCID, etc).The dataset was released on March 24, 2025. The repository contains two datasets, one for the bibliographic resources (meta_br) and one for the responsabile agents (meta_ra). Each line of the CSV file maps an OMID to its corresponding PID(s), e.g. "<i>06230199640,pmid:25088780 doi:10.1016/j.ymeth.2014.07.008</i>". This version of the dataset contains 103,808,586 bibliographic resources and 8,987,807 responsabile agents, identified by an OMID value, and their corresponding PID(s). <b>Note:</b> The data provided in this dump is based on the state of OpenCitations Meta at the time this collection was generated.