cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cc5rh42mf9
title: Forensic Genetic Genealogy Project version December 2023

description: This research seeks to collect all publicly available information concerning cases that were successfully cleared through forensic investigative genetic genealogy (FIGG), going back as far as possible in time and ending on December 31, 2023. 

Cases were selected for inclusion in the dataset through internet searches, discussion boards related to genetic genealogy, missing persons, and cold cases, as well as press releases and blog posts from private companies and non-profit organizations known to perform FIGG, publications devoted to advances in forensic science, and published court records. 

Cases were chosen for inclusion in the sample only if a public authority had confirmed that FIGG was used to clear the investigation, and the investigation met the following definition of FIGG:

1. Investigative Body: The investigation was led by a public, and not a private, authority, such as a law enforcement agency or a coroner/medical examiner’s office. 

2. Investigative Techniques: The investigation must use the techniques of genomics, computer database technologies, and traditional genealogy. Cases were included when family lineages were drawn out to at least three or more generations. The sample includes investigations that use Y-chromosome STR profiles and/or mitochondrial DNA profiles to trace the paternal and maternal lineages of persons of interest. Cases solved through familial searching of law enforcement databases were excluded from the sample, as this technique raises separate legal and ethical issues. 

3. Investigative Purpose: The investigation must be for a forensic purpose, meaning that the evidence thus produced is relevant to an ongoing legal dispute. Most cases considered here are for the identification of perpetrators of criminal offences or the identification of decedents but can also include the identification of living does. Not included in this data are cases that are of purely historical interest, or the identification of unknown soldiers by military authorities. The term ‘forensic genetic genealogy’ has been chosen for this project in preference to the broader, and more generic term ‘investigative genetic genealogy’, which has also been used, to highlight the fact that these investigations are directed towards an ongoing legal dispute before the public legal system. 

4. Causation: This database only includes cases that have been successfully cleared using FIGG. The resolution of any investigation – particularly very large and lengthy investigations as were many of the cases described in this data – has many causes. To be included here, the FIGG investigation must have played a significant causal role in the resolution of the case. 

More complete information about how the data was coded, as well as an annotated bibliography and a short digest of each case, can be found in the Code Book below. You may read a short digest of each case cleared, including references for all data collected, in the Case Digests.
DOI: 10.17632/fgrsd7sb8x
title: Artificial Intelligence Database

description: This data took Listed Companies in China's Shanghai and Shenzhen A-share Markets as the research objects, and the sample period was from 2007 to 2022. the data were screened to some extent: ①ST and * ST enterprises were excluded; ②Excluding financial insurance and real estate enterprises; ③Information transmission, software and information technology service enterprises were excluded; ④Excluding enterprises in the scientific research and technical service industries; ⑤Weeded out companies with significant missing key data. Then all continuous variables were then subjected to 1% and 99% quantile tail-reduction. The enterprise-level financial data used in this paper were all from the CSMAR database, and the annual reports of listed companies were from the Sina financial website.
Based on the data of Shanghai and Shenzhen A-share listed companies in China from 2007 to 2022, this paper found that artificial intelligence significantly promoted the improvement of enterprise resilience, and the conclusion remained valid after considering the endogeneity problem and various robustness tests; At the same time, artificial intelligence has also promoted the high-quality development of enterprises. From the perspective of internal mechanism, artificial intelligence improves the degree of enterprise specialization, expands the boundaries of enterprise innovation, and thus improves organizational resilience; Heterogeneity analysis found that for enterprises with a high degree of digital transformation and large enterprises, the role of artificial intelligence in improving enterprise resilience is relatively obvious. This study has important implications for using AI to enable enterprises to enhance resilience and achieve high-quality development.
DOI: 10.17632/hpj9j2dnzw
title: Clonality Assessment by TRBC1 Immunohistochemistry

description: Clonality assessment by TRBC1 immunohistochemistry in skin biopsies of cutaneous T-cell lymphoma compared to inflammatory dermatoses, with molecular data for comparison
DOI: 10.6084/m9.figshare.14381375.v1
title: Flight-induced compass representation in the monarch butterfly heading network

description: Raw data and MATLAB scripts that have been used for the manuscript by Beetz et.al (2021). https://doi.org/10.1016/j.cub.2021.11.009
DOI: 10.6084/m9.figshare.28589546.v1
title: Matbench-discovery result

description: MatRIS relaxed file
DOI: 10.17632/kcgmxck5cz
title: Operational Delay Factors in Port Supply Chains Data

description: Amid global supply chain disruptions, seaports are vital for maintaining smooth goods flow. However, there is still a significant gap in understanding and addressing factors causing operational delays and inefficiencies in port supply chains. This study aims to systematically identify and rank the factors contributing to these delays and inefficiencies. Employing a hybrid methodology that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL), Ordinal priority approach (OPA), and Dynamic Grey Relational Analysis (DGRA), this research addresses inefficiencies in port supply chains. The approach involves identifying key factors through expert consultation and literature review, mapping interdependencies, prioritizing factors, and analyzing dynamic relations to validate their influence. Operational delays in ports are classified into five main criteria: port management, shipping and navigation, port terminal operator, customs, and cargo owners, with each criterion broken down into specific sub-criteria. The study yielded significant results, identifying 'Poor management of goods flow' and 'Customs-related issues' within port management as the most critical factors contributing to operational delays. The analysis also highlighted 'Ship structure' and 'Late arrival of ships to port' under shipping and navigation as significant influencers of inefficiency. Notably, 'Operational cost optimization' and 'Expertise of operational staff' were pivotal in the port terminal operator category, reflecting their substantial impact on port operational efficiency. This study identified interdependencies among delay factors and essential intervention points, enhancing port functionality. The findings suggest strategies to improve global trade efficiency and economic stability in coastal regions through better supply chain management. Optimizing operational delay factors in port supply chains enhances port resilience by enabling more robust and reliable operations during disruptions.
DOI: 10.6084/m9.figshare.20425518.v5
title: Diabetes Datasets, ShanghaiT1DM and ShanghaiT2DM

description: There are two datasets from Chinese diabetes patients, ShanghaiT1DM and ShanghaiT2DM
DOI: 10.6084/m9.figshare.24298663.v1
title: <i>E. coli </i>datasets

description: The <i>E. coli </i>datasets including WGA and WGS reads were re-basecalled by modification aware model and reference genome.
DOI: 10.6084/m9.figshare.27205440.v2
title: News Articles and Speech Codings for Messianic references from three US presidents

description: Coding of press coverage of three presidents recording messianic references and reactions.
DOI: 10.17632/9sys2yrwnp
title: Modelling The Regional Public Brands of Agricultural Products: Case of Chinese Yingde Black Tea

description: The geographical protection range for Yingde black tea spans from longitude 112°45′ to 113°55′ E and latitude 23°50′ to 24°33′ N. The protective scope encompasses four primary tea production regions in Yingde City, China: Yingdong, Yingzhong, Yingnorthwest, and Yingsouthwest. Hence, the investigation area comprises the four major production areas of Yingde black tea. The survey aims to engage government officials, black tea associations, black tea-related enterprises, research institutes specializing in black tea, and black tea growers within the four major production areas. To ensure a representative sample based on the relevant personnel within the four major tea-producing regions and following the requirement for random distribution, 150, 100, 150, and 200 individuals were randomly selected from each of the four regions to complete the survey questionnaire. Before conducting the survey, we screened 20 college students majoring in business and provided them with skill training through questionnaire surveys. We directed these 20 college students majoring in business to distribute a collective total of 600 survey questionnaires and successfully gathered 565 completed questionnaires. After sorting, we obtained 416 valid questionnaires, with a valid questionnaire response rate of 69.3%.
DOI: 10.6084/m9.figshare.11295539.v2
title: MECP2 LOVD genetic variant data in RDF

description: MECP2 genetic variant data from ClinVar described using the Resource Description Framework (RDF) format following the HGVS standard.<br>This resource is FAIR and has been analyzed in combination with other MECP2 genetic variant data enabled by their interoperability.<br>The data was described in RDF following a genetic variant semantic data model (https://github.com/LUMC-BioSemantics/rett-variant) using a general-purpose FAIRifier tool (https://doi.org/10.1162/dint_a_00031) based on the OpenRefine data cleaning and wrangling tool (http://openrefine.org/).<br>The FAIR machine-readable metadata is available at:http://purl.org/biosemantics-lumc/rettbase/fdp<br>
DOI: 10.6084/m9.figshare.20366838.v1
title: Supplementary Data 1-8 of "Spiny chondrichthyan from the lower Silurian of South China"

description: <strong>Supplementary Data 1</strong>. A set of tomographic slices from a synchrotron X-ray radiation analysis of the holotype specimen of <em>Fanjingshania </em>(V27433.1). Tomographic slices generated in Mimics 19.0. <strong>Supplementary Data 2</strong>. A set of tomographic slices from a synchrotron X-ray radiation analysis of <em>Fanjingshania </em>specimen V27434.1. Tomographic slices generated in Mimics 19.0. <strong>Supplementary Data 3</strong>. A set of tomographic slices from a synchrotron X-ray radiation analysis of <em>Fanjingshania </em>specimen V27435.1. Tomographic slices generated in Mimics 19.0. <strong>Supplementary Data 4</strong>. Volume rendering of <em>Fanjingshania</em> V27433.1 with colour coded features (see Fig. 2 for interpretation). 3D reconstruction and segmentation of synchrotron tomography data performed in Mimics 19.0. <strong>Supplementary Data 5</strong>. Volume rendering of a <em>Fanjingshania</em> specimen V27434.1 with colour coded features (see Fig. 2 for interpretation). 3D reconstruction and segmentation of synchrotron tomography data performed in Mimics 19.0. <strong>Supplementary Data 6</strong>. Volume rendering of the holotype of a <em>Fanjingshania</em> specimen V27435.1 with colour coded features (see Fig. 2 for interpretation). 3D reconstruction and segmentation of synchrotron tomography data performed in Mimics 19.0. Supplementary Data 7. Parsimony analyses files. Character-taxon matrix (.tnt and .nex). Phylogenetic tree files (.tre). TNT logs (.rtf) of parsimony and the bootstrap analyses. PAUP reconstructed character states (.log) at internal nodes of the majority-rule consensus tree. R script (.rtf) used to calculate the time-scaled majority-rule consensus tree. Supplementary Data 8. Bayesian analyses files. Character-taxon matrix (.nex), consensus tree (.tre) and other output files (.ckp, .mcmc, .parts, .t, tprobs, .tstat and .vstat) generated in MrBayes version 3.2.7a.
DOI: 10.6084/m9.figshare.23606697.v1
title: <strong>CMU-synth: A synthesized Punjabi Speech dataset </strong>

description: The CMU-synth dataset is a synthetic Punjabi dataset generated using CMU's Clustergen text-to-speech model. It consists of approximately 80,000 synthesized utterances featuring a single synthetic female speaker, resulting in around 170 hours of audio data. The dataset has been partitioned into three sets for training, validation, and testing, with proportions of 80%, 10%, and 10% respectively. The dataset is well-organized, with all speech files stored in the "clips" directory. The corresponding transcript files for training, validation (dev), and testing are located in the parent directory, following the TSV (Tab-Separated Values) format. Each line in the transcript files represents a label assigned to a specific speech sample from the clips directory. The first column of each line contains the name of the corresponding WAV file, while the second column, separated by a tab, contains the transcript in textual format.
DOI: 10.6084/m9.figshare.25451692.v1
title: Systematic map database for “What is the evidence that counter-wildlife crime interventions are effective for conserving African, Asian, and Latin American wildlife directly threatened by exploitation? A Systematic Map”

description: In this excel file we provide the coding (extracted data) for all articles/studies included in the map.Tab 1: Description of the coding form (i.e., layout of form with column headers and descriptions)Tab 2: Coding - provides the full coding for all articles/studies included in the mapTab 3: Codes sheet - provides a list of codes used and definitions Tab 4: Dropdown lists used to populate fields of the coding form
DOI: 10.6084/m9.figshare.26026660.v1
title: Thesis Results.xlsx

description: Competitive gaming or esports is following a similar trajectory as traditional sports with esports organizations offering lucrative signing deals to athletes and multi-million-dollar tournament prize pools. With the immense competition, athletes commonly use stimulants such as caffeine to boost their performance. However, caffeine has been found to have negative long-term health complications and may harm performance in the short term. Thus, a healthier performance-boosting alternative would be invaluable to reducing caffeine dependence among athletes. However, there is a gap in research looking at such alternatives, especially those involving physical activity. This study investigated the comparative improvement in aim performance on Aim Labs after the consumption of 100 mg of caffeine or placebo and performing acute exercise for a minimum of 2 minutes to induce a 20% increase in heart rate. Participants were asked to perform 5 Aim Labs Gridshot rounds before and after the experimental conditions to calculate their average score. Gridshot is an aim-training task which involves clicking on a series of blue spheres arranged in a grid. Only exercise had a significant effect on the participants’ performance and showed a greater impact than even caffeine. Overall, the results of this study suggest a promising new avenue for research into improving gaming performance across various genres. This novel research direction may assist in reducing athlete dependence on performance-enhancing stimulants and long-term health complications.
DOI: 10.6084/m9.figshare.27324384.v1
title: <b>Reversal of the litter N effect on decomposition at higher N addition rates</b>

description: Raw data for litter decomposition experiment conducted in a boreal forest fertilized with N
DOI: 10.17632/dv5s34g6yw
title: ROOT — A C++ framework for petabyte data storage, statistical analysis and visualization

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, designed for storing and analyzing petabytes of data in an efficient way. Any instance of a C++ class can be stored into a ROOT file in a machine-independent compressed binary format. In ROOT the TTree object container is optimized for statistical data analysis over very large data sets by using vertical data storage techniques. These containers can span a large number of files on local disks, the w... Title of program: ROOT Catalogue Id: AEFA_v1_0 Nature of problem Storage, analysis and visualization of scientific data Versions of this program held in the CPC repository in Mendeley Data AEFA_v1_0; ROOT; 10.1016/j.cpc.2009.08.005 AEFA_v2_0; ROOT; 10.1016/j.cpc.2011.02.008
DOI: 10.17632/hzr4fnvc88
title: Rapid two-step target capture ensures efficient CRISPR-Cas9-guided genome editing. Shi, Al-Sayyad, & Wasko et al.

description: Raw experimental data from experiments detailed in "Rapid two-step target capture ensures efficient CRISPR-Cas9-guided genome editing." by Shi, Al-Sayyad, & Wasko et al.
DOI: 10.17632/k45mff2ccy
title: Holocene sediment thickness map for the Baltic Sea

description: Gridded Holocene sediment thickness data for the entire Baltic Sea based on the following study: 
Miluch, J., Zhang, W., Harff, J., Arlinghaus, P., Groh, A. (submitted). Paleogeographic numerical modelling of marginal seas for the Holocene - an exemplary study of the Baltic Sea.
DOI: 10.17632/xysxzyg7rv
title: Dynamic Nexus of 'Economy-Energy-Environment' in BRICS Countries:  A Time-Frequency Analysis

description: This dataset variables include economic growth, energy consumption (EC), and carbon dioxide (CO2) emissions in BRICS (Brazil, Russia, India, China, and South Africa) countries by using a novel wavelet coherence approach. In this paper, time series data spanning the period between 1971 to 2018.
DOI: 10.6084/m9.figshare.12129564.v2
title: Methodology for Conference Proceedings Assessment: a Conference Proceedings Dataset

description: This dataset represents the alternative approach to research evaluation based on conference proceedings data. It contains data of 171 conference proceedings in 15 subject areas. More than half of the proceedings belong to Computer Science and Engineering. An SJR-based approach allowed us to allocate the conference proceedings into categories Q1, Q2, Q3, Q4 by analogy with journal quartiles. We would like to stress the importance of using subject-specific quartiles for conferences because the significance of the same conference in different communities varies. Thus, a conference can belong to several subject areas and can have different quartiles there. Most high-quality conference proceedings are observed in Computer Science and Engineering. It is important to note that the list reflects only non-journal and non-book sources. We have evaluated conference proceedings, not the conferences themselves (exclusively bibliometric data are not enough to assess conferences). Such a quantitative assessment may be a convenient auxiliary tool, but it does not eliminate the need for expert evaluation.
DOI: 10.6084/m9.figshare.28007045.v1
title: E. coli genomes

description: E. coli genomes assayed in the linked publication.
DOI: 10.17632/2bph6y35xw
title: Repair of a Combined Nasal Sidewall/Cheek/Medial Canthus Defect

description: Supplemental figure 1.
DOI: 10.17632/bzvfxj4ss9
title: Description of TriNetX database, utilized methods and administrative codes

description: Description of TriNetX database, utilized methods and administrative codes
DOI: 10.17632/fd2rhtz6f3
title: Data for: Metagenomic data on bacterial diversity profiling and its predicted metabolic functions of varillales in Allpahuayo-Mishana National Reserve

description: Metagenomic DNA isolated and analyzed from soils of three varillal forests from the Allpahuayo-Mishana National Reserve, Loreto Region, Peru
DOI: 10.17632/ghvynpsr42
title: Data for: Supercritical Carbon Dioxide Power Cycle Design and Configuration Optimization to Minimize Levelized Cost of Energy of Molten Salt Power Towers Operating at 650°C

description: Parametric analyses on total recuperator conductance for each cycle configuration design and molten salt power tower system. Data is in json format.
DOI: 10.17632/jz56k5wxz7
title: Ultimate Arabic News Dataset

description: The Ultimate Arabic News Dataset is a collection of single-label modern Arabic texts that are used in news websites and press articles.

Arabic news data was collected by web scraping techniques from many famous news sites such as Al-Arabiya, Al-Youm Al-Sabea (Youm7), the news published on the Google search engine and other various sources.

- The data we collect consists of two Primary files:

UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words, numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural language processing tasks such as text classification.

UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text classification.

- We have added two folders containing additional detailed datasets:

1- Sample: This folder contains samples of the results of web-scraping techniques for two popular Arab websites in two different news categories, Sports and Politics. this folder contain two datasets:

Sample_Youm7_Politic: An example of news in the "Politic" category collected from the Youm7 website.
Sample_alarabiya_Sport: An example of news in the "Sport" category collected from the Al-Arabiya website.

2- Dataset Versions: This volume contains four different versions of the original data set, from which the appropriate version can be selected for use in text classification techniques.
The first data set (Original) contains the raw data without pre-processing the data in any way, so the number of tokens in the first data set is very high. In the second data set (Original_without_Stop) the data was cleaned, such as removing symbols, numbers, and non-Arabic words, as well as stop words, so the number of symbols is greatly reduced. In the third dataset (Original_with_Stem) the data was cleaned, and text stemming technique was used to remove all additions and suffixes that might affect the accuracy of the results and to obtain the words roots. In the 4th edition of the dataset (Original_Without_Stop_Stem) all preprocessing techniques such as data cleaning, stop word removal and text stemming technique were applied, so we note that the number of tokens in the 4th edition is the lowest among all releases.

- The data is divided into 10 different categories:
Culture, Diverse, Economy, Sport, Politic, Art, Society, Technology, Medical and Religion.