cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1243587.v1
title: The Effects of Stimulus Variability on the Perceptual Learning of Speech and Non-Speech Stimuli

description: SPSS formatted data used in all analyses for the paper by the same name, published in PLoS ONE. All the pre- and post-test data are given for all tasks in all groups. Explanations for each variable and values (where appropriate) are in the variable view.
DOI: 10.3535/973-ppj-wyk
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9yw-y6j-qqf
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24188226.v1
title: CESM-WACCM-SC仿真结果.

description: 强迫QBO西风相和东风相大气环流场和降水，其中u、v、w、Z和pre分别代表纬向风、经向风、垂直速度、地势高度和降水。
DOI: 10.17632/5cn954gbdh
title: Spatiotemporal Feedforward between PKM2 Tetramers and mTORC1 Prompts mTORC1 Activation

description: Most mammalian cells couple glucose availability to anabolic processes via the mTORC1 pathway. However, the mechanism by which fluctuations in glucose availability are rapidly translated into mTORC1 signals remains elusive. Here, we show that cells rapidly respond to changes in glucose availability through the spatial coupling of mTORC1 and tetramers of the key glycolytic enzyme pyruvate kinase M2 (PKM2) on lysosomal surfaces in the late G1/S phases. The lysosomal localization of PKM2 tetramers enables rapid increases in local ATP concentrations around lysosomes to activate mTORC1, while bypassing the need to elevate global ATP levels in the entire cell. In essence, this spatial coupling establishes a feedforward loop to enable mTORC1 to rapidly sense and respond to changes in glucose availability. We further demonstrate that this mechanism ensures robust cell proliferation upon fluctuating glucose availability. Thus, we present mechanistic insights into the rapid response of the mTORC1 pathway to changes in glucose availability. The underlying mechanism may be applicable to the control of other cellular processes.
DOI: 10.3535/93r-lyp-vpa
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s91-xqt-scn
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.21954/ou.rd.12805307.v1
title: ResearchFlow Dataset - EKAW 2020

description: This is the dataset associated with the paper:<br>Salatino et al. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. EKAW 2020.<br><br>The dataset contains two folders.<br>1- 'ResearchFlow_Dataset' contains the data generated from AIDA which describes the diachronic behaviour of 5K topics across 29 years (1990-2018). It includes multiple json files. Each file represents a topic and contains a json dictionary with four main keys: ‘papers-education’, ‘papers-company’, ‘patents-education’, ‘patents-company’. Each key is then associated to a list of 29 values corresponding to number of documents from 1990 to 2018.<br>2- 'ResearchFlow_Evaluation' contains the data produced for the evaluation of the paper. <br>
DOI: 10.3535/1rc-mf7-62f
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yq0-m5j-hff
title: †Fistulipora przhidolensis Kopajevich, 1990

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a32-gkq-9qc
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s6v-deg-aap
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/174-p0f-bes
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pet-n77-vjc
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14442749.v1
title: Profile hidden Markov models for succinyl-CoA: acetate CoA-transferase and other enzymes

description: Profile hidden Markov models (pHMMs) for succinyl-CoA: acetate CoA-transferase (SCACT), succinyl-CoA synthetase α subunit (SCS_alpha), succinyl-CoA synthetase β subunit (SCS beta), butyryl-CoA:acetate CoA-transferase (BCACT), acetyl-CoA synthetase (ADP-forming) α subunit(ACS_alpha), and acetyl-CoA synthetase (ADP-forming) β subunit (ACS_beta).
DOI: 10.6084/m9.figshare.28623659.v2
title: Curso Genética de Conservacion

description: Sequence data and presentation used for the course Curso Genética de Conservacion, for the class on DNA barcoding and RADseq.
DOI: 10.3535/qed-87p-v7w
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/82s4gs23tf
title: Data for: Do car restriction policies effectively promote the development of public transport?

description: Public Transportation Data of 20 Cities in China from 1985 to 2015
DOI: 10.3535/181-jae-dx3
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/32b-57x-nf1
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22640029.v1
title: phenotype_wheat.csv

description: The phenotype dataset for wheat which was analyzed in the study -- Training set optimization for identifying the best genotypes from a candidate population in genomic selection.
DOI: 10.6084/m9.figshare.3101269.v1
title: Computer Program Clustering

description: GRank K-Means ranking-based clustering using AHP, TOPSIS and WSM ranking algorithm<br>
DOI: 10.3535/sr3-zdh-mgg
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wmn-rpx-qcr
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/ythtsscf99
title: Data for: Application of Urinary Volatile Organic Compounds (VOCs) for the diagnosis of Prostate Cancer

description: The data set show the compounds that are detected in urine samples of prostate cancer positive and negative patients.
DOI: 10.25377/sussex.23807520.v1
title: Data and code for 'Cost-effort analysis of Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) in marine ecological community assessment recovery'

description: This is the data and code used in the paper: <i>Cost-effort analysis of Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) in monitoring marine ecological communities</i>. (PeerJ, 2024 12:e17091)dbMEM.R - R code for spatial autocorrelation analysisrank_abundance.R - R code for rank abundance curvesSAC.R - R code for species accumulation curvesCCA_BRUV_eDNA.R - R code for community structure analysisvert_rep_analysis.R - R code for species accumulation curves and CCA for replicate analysisAll other datasets are those used in these R scripts.<br><br><b>Abstract</b><br><br>Monitoring the diversity and distribution of species in an ecosystem is essential to assess the success of restoration strategies. Implementing biomonitoring methods, which provide a comprehensive assessment of species diversity and mitigate biases in data collection, holds significant importance in biodiversity research. Additionally, ensuring that these methods are cost-efficient and require minimal effort is crucial for effective environmental monitoring. In this study we compare the efficiency of species detection, the cost and the effort of two non-destructive sampling techniques: Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) metabarcoding to survey marine vertebrate species. Comparisons were conducted along the Sussex coast upon the introduction of the Nearshore Trawling Byelaw. This Byelaw aims to boost the recovery of the dense kelp beds and the associated biodiversity that existed in the 1980s. We show that overall BRUV surveys are more affordable than eDNA, however, eDNA detects almost three times as many species as BRUV. eDNA and BRUV surveys are comparable in terms of effort required for each method, unless eDNA analysis is carried out externally, in which case eDNA requires less effort for the lead researchers. Furthermore, we show that increased eDNA replication yields more informative results on community structure. We found that using both methods in conjunction provides a more complete view of biodiversity, with BRUV data supplementing eDNA monitoring by recording species missed by eDNA and by providing additional environmental and life history metrics. The results from this study will serve as a baseline of the marine vertebrate community in Sussex Bay allowing future biodiversity monitoring research projects to understand community structure as the ecosystem recovers following the removal of trawling fishing pressure. Although this study was regional, the findings presented herein have relevance to marine biodiversity and conservation monitoring programs around the globe.
DOI: 10.3535/a8q-bjj-n2d
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tqq-73t-2j8
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22208359.v1
title: Dataset

description: <strong>Date Document</strong> was used for analyses. The format of the file provided was “.sav”. All questions have been scored in reverse and the total score is calculated.
DOI: 10.17632/vjdmnmhh4m
title: Acromegaly and the Risk of Cancer: A Nationwide Population-based Longitudinal Cohort Study in Korea

description: Supplement
Acromegaly and the Risk of Cancer: A Nationwide Population-based Longitudinal Cohort Study in Korea
DOI: 10.3535/mbg-s1r-x21
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ykm-j49-rj7
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20693365.v1
title: MIROC-ES2L

description: This archive contains downscaled daily data from the MIROC-ES2L model for the historical (1980–2014) and future (2015–2099) periods. The compressed tar file can be expanded using the following command: tar zxvf MIROC-ES2L.tar.gz Data availability: - Variables: pr, tas, tasmax, tasmin - Historical period: 1980–2014 - Future period: 2015–2099 - Scenarios: SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
DOI: 10.17632/js7bwkx9ry
title: Hydrogen escape at Earth

description: This data set consists 320 rows and 5 columns (F10.7 index, exospheric temperature (Texo), exobase hydrogen density ([H]exo), total vertical flux (phi), thermal Jeans' flux (phiJ)). Each row is an independent estimate based on an inverse-theoretic derivation of parameters using TIMED/GUVI Lyman-alpha limb scans spanning 2002-2007.
DOI: 10.25403/upresearchdata.27240684.v1
title: Integration of social workers in public health

description: The goal of this study was to explore and describe how social workers’ roles are perceived in public health within Gauteng health facilities. A qualitative approach was used in this study to explore the in-depth knowledge of the perceived roles of social workers. To gain an understanding of those perceptions, the researcher employed one-on-one semi-structured interviews where five social workers at primary and secondary public health facilities were interviewed. A focus group was conducted with four multidisciplinary members at a secondary health facility. Collective case study was applied to draw knowledge of the case being studied and non-purposive sampling was used to select participants based on the inclusion criteria.Ethical approval has been obtained from Tshwane Health District to conduct this study within the health facilities within the district.
DOI: 10.3535/ekk-kev-gg1
title: Chalcedony

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wte-n7j-wff
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25017992.v3
title: Repository COMVIVIR .xlsx

description: This research evaluated the effect of Maraviroc and/or Favipiravir plus systemic steroids versus systemic steroids only on the viral load of adults with severe COVID-19: clinical trials .COVID-19 has created the need to evaluate drugs such as favipiravir and inhibitor of RNA-dependent RNA-polymerase and Maraviroc, and antiretroviral that antagonizes the chemokine receptor CCR5, which could affect the modulation of inflammation and viral replication in the treatment of COVID-19. We included sixteen patients with severe COVID-19 were evaluated in three treatment arms: 1) SS only, 2) Steroid systemic plus one test drug Maraviroc or Favipiravir and 3) Steroid systemic plus both test drugs (maraviroc and favipiravir). The viral load was determined for N,E, and RdRp viral genes.A significant decrease in viral load was observed in the three treatment groups, with a larger effect size in the group that combined Steroid sistemic with both test drugs. The E, N, and RdRp genes with Cohen's d, were 120,123, aand 50% respectively.<br>
DOI: 10.3535/h84-jvh-qvf
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rba-tp8-v36
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5286019.v6
title: SQLite database with MGI mouse gene annotations from Mouse Genome Informatics (MGI) at The Jackson Laboratory

description: A SQLite database with two tables: "description" and "genes". The description table includes the URL for the source file. The "genes" table contains the data, with 14 fields including chr (1-19, X, Y, MT), start and stop (in basepairs, GRCm38/mm10 build), source, strand, Name, and type.<br>This is like mouse_genes.sqlite, but just with the records with source=="MGI" and taking just one of each of the duplicate records for a gene.
DOI: 10.3535/n34-zhl-68f
title: Trypanites sozialis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w3k-v00-r8b
title: †Fistulipora przhidolensis Kopajevich, 1990

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19419707.v1
title: Raw counts IL-11 exposed primary human fibroblasts.csv

description: RNA Sequencing dataset containing all raw read counts per sample. Samples were primary human lung fibroblasts obtained from 5 control donors. Each sample was treated with vehicle (PBS) or 100 ng/ml recombinant human IL-11 for 24 hours, after which RNA was isolated and subjected to RNA sequencing. See source publication for more details.
DOI: 10.6084/m9.figshare.28550489.v1
title: Part 1: Includes the code (PT1-Analysis-022825) and data files needed to run code

description: <b>PT1-Analysis-022825: </b>This file takes a dataframe containing climatic, economic, and species richness data for the 149 countries included in this study and uses structural equation modeling to explore the relationships between these variables. The script includes data cleaning, log transformations, detecting spatial autocorrelation, AIC model selection, SEM analysis, and ultimately visualization (making the figures in this manuscript).<b><i>To run this script, the following pieces of data are needed: </i></b><b>a.</b><b> </b><b>final.comps.country.table.csv:</b><b> </b>This includes the following column names: Country (the name), Population, area (in km^2), island (whether the country is island or mainland. Countries that have islands were categorized as mainland-- the US, for example), plantNum (which is the total number of native plants, which was collected from literature on country level floral surveys or convention on biological diversity reports), region (North Africa, Eastern Europe, etc), climate (tropics vs temperate), nias (number of invasive species according to GRIIS*), and naliens (number of alien species according to GRIIS*)<b>b.</b><b> </b><b>KOFGI_2021.csv:</b> This is a file that has the KOF indices for each country from 2021. This was sourced from https://kof.ethz.ch/en/forecasts-and indicators/indicators/kof-globalisation-index.html<b>c.</b><b> </b><b>per capita gdp 2021- correct.csv: </b>This is a file that has the per capita GDP values for each country from 2021. This was sourced from https://data.worldbank.org/indicator/NY.GDP.PCAP.CD<b>d.</b><b> </b><b>*GRIIS csv files for 149 countries, sourced from griis.org: </b>NOTE: You do NOT need this to run the code. We used the GRIIS files to find the number of alien and invasive species in each country. This data has been added to the final.comps.country.table.csv (see above). However, the GRIIS files are still uploaded to figshare, and the code that counts the number of alien and invasive plants in each country IS available in this R script. To bypass the species counts (so you do not have to upload all 149 csv files), simply go to the section that says “START” and make sure you have your working directory set correctly, and the country table downloaded and read in.
DOI: 10.6084/m9.figshare.5913511.v1
title: Understanding of Pain

description: Dataset for paired data using the Neurophysiology of Pain Questionnaire and the HC-PAIRS
DOI: 10.3535/2ns-msn-5jm
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4m7-rhl-6xf
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e63-m86-lv8
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xk6-d70-38y
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d186
title: Ex10R55 PV25-5 from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.15131/shef.data.5155822.v1
title: Data for paper: Thin Al1-xGaxAs0.56Sb0.44 diodes with low excess noise

description: The files correspond to experimental results in paper: "<b>Thin Al</b><sub>1-<i>x</i></sub><b>Ga</b><i><sub>x</sub></i><b>As</b><sub>0.56</sub><b>Sb</b><sub>0.44</sub><b> diodes with low excess noise"</b> published in IEEE Journal of Selected Topics in Quantum Electronics (Volume: 24, Issue: 2, March-April 2018), DOI: https://doi.org/10.1109/JSTQE.2017.2725441<br>There are two types of files:- .png, which correspond to the figures- .csv, which are raw data in figures<br>This work reports the excess noise characterization in a series of Al<sub>1-<i>x</i></sub>Ga<i><sub>x</sub></i>As<sub>0.56</sub>Sb<sub>0.44</sub> (<i>x</i> = 0, 0.05, 0.1, 0.15) diodes with avalanche layer thickness of 110-116 nm.<br>The data consists of results from Al<sub>1-<i>x</i></sub>Ga<i><sub>x</sub></i>As<sub>0.56</sub>Sb<sub>0.44</sub> (<i>x</i> = 0, 0.05, 0.1, 0.15) photodiodes: dark and photocurrent, capacitance, avalanche gain, excess noise.
DOI: 10.17632/m54vrvr3p4
title: A20X Strengthening mechanism

description: A20X Strengthening mechanism
DOI: 10.3535/tg8-xen-zn2
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tga-qxx-v8h
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19394060.v1
title: Instrumento de Investigación: Agenda setting invertida

description: Instrumento de investigación: Entrevista en profundidad, Agenda Setting Invertida
DOI: 10.6084/m9.figshare.21896472.v1
title: Antibiotics under our feet: investigating the diversity of bacteria, eukaryota and archaea phyla in our urban soil samples

description: This dataset consists of a Krona chart visualisation of our bioinformatics results for our first six soil samples sent for DNA sequencing. The Krona chart was used to determine the percentages of the top five phyla (if available) in each kingdom: bacteria, eukaryota and archaea in our soil samples. A spreadsheet of the results together is included. A bar chart and pie charts were produced and are presented here in .mp4 video format that can be paused to view results for each soil sample. The data analysis for this part of the "Antibiotics under our feet" was carried out in collaboration with a Nuffield Research Placement student at the University of St Andrews during the summer of 2022. The Nuffield project protocol with instructions for analysing the Krona chart to gather data is included.
DOI: 10.6084/m9.figshare.23816205.v2
title: mRNA Analysis (Gene counts, DEGs, GOs, KEGGs)

description: small-RNA seq analysis for article "Gene signatures in human granulosa cells from integrated analyses of multiple datasets"
DOI: 10.3535/2xy-l40-kvb
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f40-rn2-sjv
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13636472.v1
title: Evaluating the Criticality of Architectural Smells.zip

description: Contents:<br><br>QQ plots: this folder contains plots of the last version of every system used to prove that the dataset doesn’t follow a normal distribution.<br>Correlations: this folder contains a compilation of every smell catalogued by system and version number, two plots comparing each system’s correlation values (already shown in the paper) and also the following files for each system<br>- TestAdiResultsAll.csv: reporting every smell of a system, catalogued by version. Raw data from which all correlations have been computed.<br>- complete.csv: reporting the correlation values calculated, also divided the smells by type.<br>- div.csv: reporting the correlation values calculated dividing the smells by granularity level (classes or package).<br>smellClasses.csv: reporting the correlation values calculated at class level, also divided by smell type.<br>- smellPackages.csv: reporting the correlation values calculated for smells at package level by smell type.<br>- summary.xlx: reporting in a easier to read format the information given by the previous csv files.<br>Evolution: this folder contains plots that show how Severity and Pagerank increase or decrease from one version to another<br>Evolution_Granularity: this folder contains plots that show how Severity and Pagerank increase or decrease from one version to another dividing the Architectural smells by granularity level (classes or package)<br>Evolution_Size: this folder contains plots and csv files that show how the means of Severity and Pagerank increase or decrease related to the size of the project<br>Scatterplot_Versions: this folder contains plots that show how the means of Severity and Pagerank increase or decrease related to each other<br>ScatterplotCD_Versions: this folder contains plots that show how the means of Severity and Pagerank in Cyclic Dependencies increase or decrease related to each other dividing the Architectural smells by granularity level (classes or package)<br><br>