cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28307321.v1
title: Prediction of Olympic medals based on GA-BP and logistic regression model

description: Predicting the number and distribution of medals in the future Olympic Games has become a noticeable topic. However, it is not easy to predict the number of Olympic medals. We need to comprehensively consider historical data, athletes' performance, host country effect and other factors from multiple dimensions. This paper adopts GA-BP algorithm model, which is an optimization algorithm combining genetic algorithm (GA) and back propagation neural network (BPNN). It uses the global search ability of genetic algorithm to optimize the weight and bias parameters of BP neural network, so as to improve the training efficiency and prediction performance of neural network. By estimating the number of gold medals and total medals of each country in the Olympic Games, and verifying the accuracy of the model, the medal list of the 2028 Los Angeles Olympic Games is finally predicted. Based on the synthetic control model, this paper selects two countries, Estonia and China, as the research object. By constructing a virtual control group and two experimental groups, the change of the number of medals in different periods and the change of the number of medals with or without coaches in the same period were analyzed, and the difference between the actual medal growth and the synthetic control group (no coach effect team) was compared. The results show that the number of medals won by Estonia and China with a head coach is higher than that without a head coach. Under the guidance of excellent coaches, Estonia won 1 gold medal and 2 bronze medals in 1992, indicating that the great head coach effect has a significant role in promoting the performance of athletes. This paper explores the valuable opinions of the Olympic committee decision-making, reveals the key factors behind the distribution of medals, optimizes the allocation of national strategic resources, and predicts the performance of countries in the future Olympic Games. This research will help to improve the accuracy of the model more comprehensively, better understand the medal trend of the Olympic Games, and provide a scientific basis for the NOC to achieve better results in the future Olympic Games.
DOI: 10.3535/f0z-0sc-bs4
title: †Gymnocidaris L. Agassiz, 1838

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pwk-z4s-exh
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10293674.v4
title: Suppl. Table 1

description: Summary of histological features in livers collected from 83 d-old Iberian pigs fed 1 of the 4 liquid diets: 1) control (CON-N; n = 8), 2) high-fructose high-fat (HFF-N; n = 6), 3) CON + 6.2 × 10<sup>4</sup> cfu ∙ mL<sup>-1</sup> probiotics (CON-P; n = 8), and 4) HFF-N + 6.2 × 10<sup>4</sup> cfu ∙ mL<sup>-1</sup> probiotics (HFF-P; n = 6). The probiotic mixture contained <i>Pediococcus acidilactici</i>, <i>Pediococcus</i> <i>pentosaceus</i>, <i>Lactobacillus plantarum</i> and <i>Bacillus subtilis</i> (MultiBio 3PS; BiOWiSH Technologies, Cincinnati, OH). Animals were fed 45 mL · kg BW<sup>-1</sup> at 6-h intervals during 10 consecutive weeks.
DOI: 10.6084/m9.figshare.24172968.v1
title: 1 mm resolution voxel-resampled connectome

description: Voxel-resampled intermediary matlab-readable file that facilitates ROI seeding of the connectome in 1.0 mm resolution. Must be unzipped prior to use.
DOI: 10.15468/dl.4b7238
title: Occurrence Download

description: A dataset containing 985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Living Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cotoneaster salicifolius Franch."
 ]
}

 The dataset includes 985 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009715-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0nb-cbq-cxl
title: †Rhabdocidaris Desor, 1855

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yz8-t1q-fn0
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.b8yker
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceracris nigricornis Walker, 1870"
 ]
}

 The dataset includes 586 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009712-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2bs-8wn-6ng
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ep7-b0w-spk
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15131/shef.data.11395641.v1
title: Data for paper "Is a wearable sensor based characterisation of gait robust enough to overcome differences between measurement protocols? A multi-centric pragmatic study in patients with Multiple Sclerosis"

description: This repository has been created to support the paper "Is a wearable sensor based characterisation of gait robust enough to overcome differences between measurement protocols? A multi-centric pragmatic study in patients with Multiple Sclerosis". The excel file includes both demographic and clinical information of each participant (1st worksheet) and the gait outcomes extracted from the wearable sensors for each participant (mean and SD values, 2nd worksheet). For details email l.angelini@sheffield.ac.uk <br>
DOI: 10.3535/gdx-06b-pw3
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jbg-leb-yvp
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14322179.v1
title: Assessment of glutathione S-transferaseM1 (GSTM1) and its polymorphisms GSTM1 null in the response to treatment with chemotherapy in advanced ovarian carcinoma

description: ABSTRACT Objective: To assess if the genotype of the glutathione S-transferase M1 (GSTM1) enzyme and its GSTM1 null polymorphism can influence the response to chemotherapeutic treatment of advanced ovarian cancer. Methods: Case-control study of 112 patients with advanced ovarian cancer submitted to chemotherapy during the period from January 1995 to December 2005. The tissue to study the GSTM1 genotype and its deletion came from surgical staging to treat ovarian cancer. The PCR product generates two distinct genotypes, characterized as positive and null. The response to chemotherapy was evaluated using the World Health Organization (WHO) criteria. Patients were classified as having: a) no response, b) a response. Results: The presence of GSTM1 or its GSTM1 null polymorphism did not influence the preoperative chemotherapy response. Among the patients who did respond, 88.9% presented with positive GSTM1 and 11.1% with null GSTM1. Among the patients that did not respond, 85.71% presented with positive GSTM1 and 14.29% with null GSTM1 (p = 0.825). GSTM1 and its GSTM1 null polymorphism had no influence on the postoperative response to chemotherapy. Among the patients who did respond, 80.65% presented with positive GSTM1 and 19.35% with null GSTM1. Among the patients who did not respond, 87.50% presented with positive GSTM1 and 12.5% with the null polymorphism (p = 0.553). Conclusion: No difference was observed in the response to treatment with chemotherapy in patients with advanced ovarian cancer, as to the GSTM1 genotype compared to its GSTM1 null polymorphism.
DOI: 10.6084/m9.figshare.14754273.v1
title: Guardians of Separatism (GoS) Dataset

description: This biographical dataset profiles the guardians of separatism in Abkhazia (N = 292) and South Ossetia (N = 316) from 1992 through 2020. It covers officials entrusted positions with responsibilities crucial to the survival of the de facto states. In Abkhazia this includes the President (HoS), Prime Minister (HoG), Speaker of Parliament (SoP), Foreign Minister (MFA), Interior Minister (MoI), General Prosecutor (GP), Defence Minister (MoD), Chief of the General Staff (CHOD), Head of the State Security Service (SGB), Director of the Defence College (SVOKU), and Secretary of the Security Council (SOVBEZ). In South Ossetia this includes the President (HoS), Head of Presidential Administration (PA), Prime Minister (HoG), Speaker of Parliament (SoP), Foreign Minister (MFA), Interior Minister (MoI), General Prosecutor (GP), Emergencies Minister (MoE), Defence Minister (MoD), Chief of the General Staff (CHOD), Head of State Security Committee (KGB), Director of Foreign Intelligence Service (SVR), and Secretary of the Security Council (SOVBEZ). Our coding rules take into account the fact that officials can commit to the separatist project for different reasons, either one of which is sufficient for passing as a “son of the soil.” We first search for cultural ties in the form of surnames characteristic of the state-bearing nation. If evidence thereof is found we code the official as a "titular son." Otherwise we look for territorial ties in the form of a birth place located in the domain of the de facto state. If evidence thereof is found we code the official as a "territorial son." Otherwise we search for ideological ties in the form of a preceding commitment to the separatist cause. If evidence thereof if found we code the official as an "adopted son." If neither of these ties can be validated, then we scour their biographies for signs of a past service record in - or a prior career reliant on - the Russian state. When evidence thereof is found we label the official as a “servant of the empire.” We gathered information from open sources in English, Georgian, and Russian. We retrieved data from the websites of separatist institutions, local information agencies, and newspapers covering the region. We also consulted several autobiographies, as well as sources of investigative character. The Commission for Ethics in Research at Charles University's Faculty of Social Sciences approved this project on 2021-05-15.
DOI: 10.3535/k07-4l5-fhz
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kys-vzz-2ty
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tjh-q1f-1jz
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25597698.v1
title: Artifact for ISSTA 2024 "An Empirical Study of Static Analysis-Based Variability Bug Detection"

description: <pre>This repository contains our raw data, as well as the scripts we used to process them for our ISSTA 2024 submission, "An Empirical Study of Static Analysis-Based Variability Bug Detection."<br><br>The structure of this repository is as follows:<br>- <i>*raw_data*</i>: Our raw results from the three analyses we performed.<br>- <i>*data*</i>: Intermediate data we used to generate figures and tables in the paper.<br>- <i>*scripts*</i>: Scripts that are used to process data and generate other intermediate data, or figures and tables from the paper.<br><br>Both <i>*data*</i> and <i>*scripts*</i> have their own READMEs explaining each item.</pre><br>
DOI: 10.3535/64z-rry-3s5
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25656432.v1
title: Toy dataset for genotyping consensus STRS with EnsemblTR

description: This archive consists of binary files obtained by extracting reads that overlap 6 genes from WGS BAM files of 100 samples chosen randomly from the 1000GP populations. It also has reference files required for genotyping STRs from the sequence files.
DOI: 10.3535/2e1-74e-kmr
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yf3-klh-k8p
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25573/serc.16847029.v1
title: Species richness and identity both determine the biomass of global reef fish communities

description: Source data (as .xlxs with two tabs for fish and environmental data, respectively) and R script to reproduce all analyses. price2.R is mirrored from https://gist.github.com/jslefche/76c076c1c7c5d200e5cb87113cdb9fb4<br>
DOI: 10.3535/pcx-770-q2f
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sjj-fyc-p2z
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25466344.v1
title: Figure 4C - 4D Source Data - EMB

description: Figure 4C - 4D Source Data - EMB
DOI: 10.6084/m9.figshare.3531950.v1
title: Appendix E. Sugar and starch concentrations in leaves of the three dominant species sampled after sunset in the first day and before sunrise on the second day under the control and three heating regimes.

description: Sugar and starch concentrations in leaves of the three dominant species sampled after sunset in the first day and before sunrise on the second day under the control and three heating regimes.
DOI: 10.3535/3fj-vrv-s1g
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pk1-khh-gx6
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20141057.v1
title: excell spreadshet SPSS Coding.xlsx

description: This is an excell spreadshet for SPSS file explanation.
DOI: 10.6084/m9.figshare.26526478.v1
title: Data collection tool

description: This research project aimed at revealing applied linguistics published research instrument reporting practices (2019 - 2023). More precisely it sought to find out how often these article report their instruments origin, piloting, reliability, interrater reliability, and availability. Three-hundre-fifty-five published quantitative articles were collected and analysed through the attached tool to address the study objective.
DOI: 10.3535/bep-akn-v2q
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.15026346.v1
title: tax_2021

description: <b>TAX DISTORTIONS IN BRAZIL: A CLASSIFICATION OF STATES</b><b></b>
DOI: 10.3535/7k3-z6a-2pp
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hlc-jk6-r09
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14472750.v1
title: Original Western Blots

description: <b>Original Western Blots</b>
DOI: 10.17632/xhd6m43dyd
title: Bursa Malaysia - Healthcare Industry

description: The dataset consists of market capitalization data for public listed companies on Bursa Malaysia in the healthcare industry.
DOI: 10.3535/4c0-gtp-ana
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7a7-ky1-h90
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11672334.v1
title: Dzelal Dupljak Basics of C# programming Certificate

description: Dzelal Dupljak Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.3535/85z-f1p-82g
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f0f-v6x-qdw
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1an-b8l-m2l
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2r2-4k4-08v
title: Pycnolepis splendens

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27143064.v1
title: Test Modulo OME-ZARR File

description: These data contain some synthetic test random data formatted to match an OME-ZARR Modulo dataset (https://docs.openmicroscopy.org/ome-model/6.1.2/ome-tiff/data.html#modulo-datasets)
DOI: 10.3535/6js-wal-5wd
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2dg-37m-er1
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8r9-27f-5n3
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gnp-s8w-6gk
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25380/iastate.22814438.v1
title: ShoeCase: A data set of mock crime scene footwear impressions

description: This project's main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The team at the Center for Statistics and Applications in Forensic Evidence (CSAFE) worked to collect images that could be representative of those found at crime scenes and made publicly available to the broader forensic and research communities. With mixed impression types (full blood impression, partial blood impression, and dust), flooring (vinyl and tile), lift techniques (gel lifts), and digital file types (TIF, XMP, CR3, and JPG). Our data was collected with the intention of reproducibility, using simple but specific protocols and easily accessible materials. The complete dataset includes 936 unique shoeprint images contained in 3,275 digital files. Data collection consisted of trained volunteers making shoe impressions on flooring with the 2 mediums: Spatter blood and graphite powder. They would wear the shoe, step in the material, and then walk on the flooring. For the blood prints a separate “lighter” step was made for a partial print. The blood prints were brought to the photography station where researchers labelled it and took a photograph. Graphite prints were covered with a gel lifter before being brought to the photography room. There the researchers removed the lift, then labeled and photographed it. We hope that our data will be of significant use for researchers, examiners, and anyone that could benefit from the use of a large dataset like this. Footwear datasets are often difficult to find, especially ones that resemble crime scenes, so our data can help fill that gap.
DOI: 10.3535/cmp-301-kk0
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r2v-h1l-691
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28369373.v1
title: Datasets for the analysis

description: Databases we used for the analyses. "Analisi intendo OSF" is the original dataset, whereas "INTENDO-MATRIX COMPLETA con voids" is the database created for the further analyses required by the reviewers.
DOI: 10.3535/ggl-kaq-s7f
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x86-3fn-m20
title: Glyptolepis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a5e-c8k-z05
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bmj-9hh-cb2
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12841454.v1
title: Data and code to "Spiders follow an ideal free distribution based on traits of the plant community"

description: Here we provide the data and code to the manuscript "Spiders follow an ideal free distribution based on traits of the plant community", authored by João Custódio Fernandes Cardoso and Marcelo Oliveira Gonzaga.
DOI: 10.3535/nel-cr3-e67
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qez-031-gne
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8m1-5j3-8b3
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25000925.v1
title: Dataset for "Pervasive fire danger continued under a negative emission scenario"

description: This dataset includes post-processed data files and scripts used in the study "Pervasive fire danger continued under a negative emission scenario" by Kim et al. Publicly-available data used in this study (ERA5, GFED, GFAS, and CMIP6) are accessible from their respective providers. Direct daily outputs from the CESM 28-ensemble simulation are not included here and are available upon request due to the large size.
DOI: 10.6084/m9.figshare.5719189.v1
title: WORK PRECARIOUSNESS: ERGONOMIC RISKS TO OPERATORS OF MACHINES ADAPTED FOR FOREST HARVESTING

description: ABSTRACT This study aimed to assess different types of machines adapted for mechanized forest harvesting activities in order to quantify the degree of compliance with ergonomic principles applicable to forest machines, as well as the ergonomic risks to which workers are exposed. The following machines were evaluated: a feller buncher adapted into a wheel loader; a mini skidder coupled to an agricultural tractor; and a forest loader adapted to an agricultural tractor; operating in the states of Paraná and Minas Gerais. Biomechanical working conditions were assessed by applying a checklist for simplified assessment of the workplace biomechanical conditions. The forced postures assessment was performed using the REBA - "Rapid Entire Body Assessment" method. In turn, ergonomic classification was through guidelines contained in the ergonomic classification manual "Ergonomic Guidelines for Forest Machines". Moreover, the environmental factors noise, temperature and vibration to which the operators of these machines were exposed were assessed. The results showed all assessed machines had ergonomic standards below those indicated in all assessed aspects, mainly related to access and dimensions of the workplace, need to adopt forced postures during working hours, and exposure to environmental factors assessed above tolerance limits. It is concluded that machines adapted for use in forest harvesting processes have shown significant gaps in relation to ergonomic aspects, presenting high and imminent risk of development of occupational diseases in their operators.
DOI: 10.3535/b4r-2p2-06l
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b51-rvc-hyc
title: Schmidtiellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.