cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/4z4hn8
title: Revision of the Afrotropical species of Pristomerus (Ichneumonidae: Cremastinae), with descriptions of 31 new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rousse, Pascal, Noort, Simon van (2015): Revision of the Afrotropical species of Pristomerus (Ichneumonidae: Cremastinae), with descriptions of 31 new species. European Journal of Taxonomy 124: 1-129, DOI: http://dx.doi.org/10.5852/ejt.2015.124
DOI: 10.21227/3tw0-qv35
title: Deep learning based simultaneous measurement of flow-wall dynamics (DL-SFW)_experimental data

description: Several pathological phenomena are closely associated with vascular stiffness and interactions of blood flow and wall dynamics. However, conventional elastography and imaging techniques cannot easily measure local stiffness and analyze complicated interactions between multiple parameters. In this study, a new deep learning based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by integrating and enhancing our two DL techniques for high-resolution velocimetry and strain measurement. The performance of DL-SFW is verified by comparing with conventional techniques for tissue-mimicking phantoms. The DL-SFW approach is found to improve relative errors in the measurements of velocity, wall shear stress (WSS), and strain with up to 4.6-fold, 15.1-fold, and 22.2-fold, respectively. After performance verification, in vivo feasibility is demonstrated by applying the DL-SFW to murine carotid artery under pathological conditions including aging and diabetes mellitus (DM). Mean flow velocities and mean WSS values of the aging and DM groups are lower than those of the control group. However, the strain values of the aging and DM groups are much smaller than that of the control group (p &lt; 0.005). The mutual comparison of flow–wall dynamics and histological analysis results shows that the increase in vascular thickness and immunoreactive region is closely correlated with the regions with abnormal interactions between blood flow and wall dynamics.This study elucidates the excellent performance of DL-SFW in the simultaneous measurements of vascular stiffness and complicated flow–wall dynamics. Furthermore, these results provide useful information with high-resolution and accurate diagnosis of cardiovascular diseases.
DOI: 10.21227/4m0s-8k28
title: Deep learning based simultaneous measurement of flow-wall dynamics (DL-SFW)_experimental data

description: Several pathological phenomena are closely associated with vascular stiffness and interactions of blood flow and wall dynamics. However, conventional elastography and imaging techniques cannot easily measure local stiffness and analyze complicated interactions between multiple parameters. In this study, a new deep learning based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by integrating and enhancing our two DL techniques for high-resolution velocimetry and strain measurement. The performance of DL-SFW is verified by comparing with conventional techniques for tissue-mimicking phantoms. The DL-SFW approach is found to improve relative errors in the measurements of velocity, wall shear stress (WSS), and strain with up to 4.6-fold, 15.1-fold, and 22.2-fold, respectively. After performance verification, in vivo feasibility is demonstrated by applying the DL-SFW to murine carotid artery under pathological conditions including aging and diabetes mellitus (DM). Mean flow velocities and mean WSS values of the aging and DM groups are lower than those of the control group. However, the strain values of the aging and DM groups are much smaller than that of the control group (p &lt; 0.005). The mutual comparison of flow–wall dynamics and histological analysis results shows that the increase in vascular thickness and immunoreactive region is closely correlated with the regions with abnormal interactions between blood flow and wall dynamics.This study elucidates the excellent performance of DL-SFW in the simultaneous measurements of vascular stiffness and complicated flow–wall dynamics. Furthermore, these results provide useful information with high-resolution and accurate diagnosis of cardiovascular diseases.
DOI: 10.7303/syn22005337.2
title: CMC_Human_WGS_metadata.csv
DOI: 10.17632/hrstvdvgjd.1
title: Data for: Faith is Shaken? The Marketization of China's Urban Construction Investment Bond
DOI: 10.17632/zd7gknwmdr.1
title: Retrospective Analysis of Laboratory Abnormalities in Patients Prescribed Terbinafine for Onychomycosis

description: Supplemental Table – Overall Patient Demographics and Demographics of Patients with Abnormal Laboratory Tests
DOI: 10.7303/syn3354385.5
title: CMC_Human_clinical_metadata.csv
DOI: 10.17030/uclan.data.00000233
title: Expended City Network
DOI: 10.17030/uclan.data.00000234
title: Lie of the Land Symposium
DOI: 10.17030/uclan.data.00000235
title: Conductor by Keith Harrison
DOI: 10.5255/ukda-sn-854297
title: Predictors of likelihood of sharing disinformation on social media 2019-2020
DOI: 10.5281/zenodo.3780048
title: Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)

description: The Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) contains 1271 arguments spanning 20 topics with scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are inferred from a total of 42k pairwise judgments. Arguments are sourced from the args.me corpus.
DOI: 10.5281/zenodo.3780049
title: Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)

description: The Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) contains 1271 arguments spanning 20 topics with scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are inferred from a total of 42k pairwise judgments. Arguments are sourced from the args.me corpus.
DOI: 10.7303/syn18358379.4
title: CMC_Human_rnaSeq_metadata.csv
DOI: 10.7303/syn22005423.1
title: Samples_passingQC.csv
DOI: 10.7910/dvn/8rhlg1/puntkf
title: 2019 Canadian Election Study - Phone Survey Campaign Period Survey FR.pdf

description: :unav
DOI: 10.5066/p9va0hir
title: Please Recycle

description: This data release publishes datasets within and surrounding the Piney Branch watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia. This dataset was utilized in studies that investigated the accuracy and application of geospatial modeling techniques, structure-from-motion (SfM) photogrammetric methods, and digital elevation model (DEM) differencing to assess and quantify geomorphic and anthropogenic landform change. The United States Geological Survey's (USGS) three-dimensional digital elevation program (3DEP) light detection and ranging (LiDAR) digital terrain models (DTMs) were used together with and as a means for comparison to DTMs created from historical aerial imagery. The creation and usage of both historical and current elevation datasets allows for the mapping of landscape change over time. Such mapping and assessment of geomorphic and anthropogenic change provides critical information for land management, hazard identification, and the management of challenges related to urbanization
DOI: 10.5066/p9w3mutu
title: USGS Great Lakes lake trout egg thiamine monitoring data release

description: Monitoring of vitamin B1 (thiamine) in the eggs of lake trout (Salvelinus namaycush) collected from lakes Huron and Michigan has been conducted by the U.S. Geological Survey since the mid-1990?s. The results of this monitoring effort have been used by natural resource management agencies and native American tribes within the Great Lakes basin to evaluate the reproductive health of lake trout. The data in this release are the thiamine concentrations measured in lake trout collected from 1996-2018. Results are reported as total thiamine (nmol/g-egg), collection site, lake, year collected, and reference to the analysis methods.
DOI: 10.7910/dvn/8rhlg1/luqqnj
title: 2019 Canadian Election Study - Phone Survey Campaign Period Survey EN.pdf

description: :unav
DOI: 10.7910/dvn/dus88v/hrz21g
title: 2019 Canadian Election Study - Online Survey Technical Report and Codebook.pdf

description: :unav
DOI: 10.17632/fsg3r9j6py.1
title: Removal of Peroxides from Functionalized Polyethylene Glycol (PEG) and Effects on the Stability and Sensitivity of Resulting PEGylated Conjugates

description: The removal of peroxides from commercial samples of PEG through freeze-drying can have positive effects on the stability and sensitivity of ROS-sensing conjugates made using the PEG. These data demonstrate the positive effects of a freeze-drying protocol on the ROS-sensing ability and stability in solution of these conjugates.
DOI: 10.17909/t9-z53g-zn60
title: See Change Supernova Survey Observations

description: These are the data used in the See Change supernova survey of high redshift galaxy clusters with HST.
DOI: 10.6073/pasta/77c3a82475033285ce574d8f585e2fa5
title: Soil carbon, soil nitrogen, and geometry of 30 playas and their catchment areas at the Jornada Basin LTER site in 2012

description: This data package contains soil carbon and nitrogen data at a range of soil depths from 30 ephemerally-flooded desert wetlands, or playas, in the Jornada Basin of southern New Mexico, USA. We conducted this study to assess how catchment biophysical variables control soil organic carbon and nitrogen in playas and how playas function differently than upland ecosystems. We chose 30 playas from across this Chihuahuan Desert Basin and collected 36 soil samples from four depths and nine locations. Soil cores samples were taken along two perpendicular transect lines to account for a topographic gradient from the edge of the playa to the center of the playa. At each of the nine locations, one sample was collected at four depths (0–10 cm, 10–30 cm, 30–60 cm, 60–100 cm). We measured soil organic carbon and total nitrogen concentrations in these soils using elemental combustion analysis. Using bulk density measurements for each depth range (m), we converted each soil measurement (g/g) to calculate concentrations of organic carbon and nitrogen per unit area (g/m^2) within the depth-ranges sampled. Data on the geometry of the playas and their associated catchments is also provided. This study is complete. For further information, refer to: McKenna, Owen P., and Osvaldo E. Sala. "Biophysical controls over concentration and depth distribution of soil organic carbon and nitrogen in desert playas." Journal of Geophysical Research: Biogeosciences 121, no. 12 (2016): 3019-3029. https://doi.org/10.1002/2016JG003545
DOI: 10.17632/2fzrv5sw58.1
title: Morphometry Matrix

description: Morphometry Matrix used at the paper: Bouteloua arizonica, a New Bouteloua Species Distinct from B. aristidoides (Poaceae, Chloridoideae): Morphological and Phylogenetic Evidence Cuellar-Garrido, L.F. & Siqueiros-Delgado, M.E., 2020.
DOI: 10.17632/6nrbvh2v63.1
title: Survey responses for The Impact of the COVID-19 Pandemic on Final Year Medical Students in the United Kingdom: A National Survey

description: The database of results of a self-administered survey created on Google Forms and disseminated to final year medical students online, looking at the impact of the COVID-19 outbreak on final year medical students’ examinations, electives and assistantship placements; how this impact has differed across UK medical schools; and the impact these changes would have on preparedness and confidence of medical students going into the Foundation Year 1.
DOI: 10.17632/xrs553hsx7.2
title: The rise of populists and decline of others: Explanation of changes in party support in the Czech Republic

description: These files provide replication material for paper "The rise of populists and decline of others: Explanation of changes in party support in the Czech Republic". As the basic source of dataset, monthly survey data from the CVVM from May 2009 to November 2018 are used. They are used in aggregate form. The unit of analysis is party by month. Each survey provides an estimate of party support (in percentages) and an estimate of measures of the salience of the issues of corruption and migration and satisfaction with the economy and the political situation. I Information provided by surveys and the statistical databases of public institutions are used as independent variables. Data on evaluations of the political situation and issue saliency are aggregated in a similar manner as party support. To measure satisfaction with politics, we use the sum of negative answers to the question “Thinking about contemporary political situation in the Czech Republic in general, would you say that you are a) completely satisfied b) somehow satisfied c) neither d) somehow dissatisfied e) completely dissatisfied?” The sum of people who answer D or E is divided by the number of the survey’s respondents. For the purpose of analysis, the change between months is computed to capture whether dissatisfaction with the political situation is rising or declining and how much in terms of percentage points. Unemployment is measured as the proportion of people without a job . Information about unemployment for each monthly period is provided by the Ministry of Labour and Social Affairs. In the analysis, this variable is used as a change; thus, it indicates how much unemployment is rising or decreasing compared to the previous month in percentage points. Inflation is covered on a monthly basis by the Czech Statistical Office. In the analysis the general index is used. The index captures the growth in price levels between months and is based on net changes in prices of selected items including representative products and services (about 710 items). Variable "migration" is based on data about the number of foreigners with temporary or permanent residency provided by the Ministry of the Interior (2019) on a monthly basis. The variable about the saliency of inflation, unemployment, migration and corruption is constructed from statements by respondents about what they believe are the two most important issues in the Czech Republic. Two variables capturing temporal aspects of the electoral terms are constructed. The first one – the pre-election period – is the number of months of the year prior to elections. A time period of 12 months before elections has a value of 1, and the last month before elections has a value of 12. This allows us to estimate how support rises or falls with the temporal proximity of elections. The second variable – the post-election period – has a value of 12 for the first month after elections and a value of 1 for the month one year away from elections.
DOI: 10.17632/p5zh7cb4df.1
title: Supplemental Material S6

description: dataset for Marion Lake charcoal
DOI: 10.17632/3tvsp34pv7.3
title: The Effect of Grain Boundaries and Twin Boundaries on Dislocation Nucleation and Motion in Al Thin Films

description: The shared data is the raw data that used in results and discussion part of this paper. The file includes 3 TEM images, 3 load-depth curves data and part of the simulation data.
DOI: 10.17632/gr38s7xhn8.1
title: Bark beetle database (Schafstall et al., 2020)

description: This database of conifer bark beetles was published in 2020 by Schafstall et al (DOI: 10.1177/0959683620902214). It will be expanded with sites beyond the time constraint used for the article.
DOI: 10.17632/hswn9y67rn.3
title: The Importance of Conference Proceedings in Research Evaluation: a Methodology for Assessing Conference Impact

description: Conferences are an essential tool for scientific communication. In disciplines such as Computer Science, over 50% of original research results are published in conference proceedings. In this dataset, there is is a list of conference proceedings, categorized Q1 - Q4 by analogy with SJR journal quartiles. We have analyzed the role of conference proceedings in various disciplines and proposed an alternative approach to research evaluation based on conference proceedings and Scimago Journal Rank (SJR). Comparison of the resulting list in Computer Science with the CORE ranking showed a 62% match, as well as an average rank correlation of the distribution by category.
DOI: 10.17632/kdzk46x3fv.1
title: Supplemental Material S5

description: dataset for Marion Lake pollen
DOI: 10.5281/zenodo.3779036
title: Processed data and analysis results for 104 RBPs

description: This repository makes available the processed data and the results of our SURF paper. The paper presents the <strong>S</strong>tatistical <strong>U</strong>tility for <strong>R</strong>BP <strong>F</strong>unctions (SURF) for integrative analysis of RNA-seq and CLIP-seq data. The goal of SURF is to identify alternative splicing (AS), alternative transcription initiation (ATI), and alternative polyadenylation (APA) events regulated by individual RBPs and elucidate protein-RNA interactions governing these events. We applied the SURF pipeline to analyze 104 RBP data sets (from ENCODE) and performed downstream analysis. Check out the browsable results from this shiny app! The current repository includes: meme.326.input.zip -- input of 326 MEME runs on SURF-inferred location features meme.326.output.zip -- output of 326 MEME runs on SURF-inferred location features surf_inferred_feature.gtf -- SURF-inferred location features for 52 RBPs gencode.v24.annotation.filtered.gtf -- filtered genome annotation used for ENCODE data analysis Homo_sapiens.GRCh37.71.primary_assembly.protein_coding.gtf -- genome annotation used for simulation study simulation_truth.txt -- truth parameters used for RNA-seq simulation [RBP].results.rds -- SURF output (each an R object) for 104 RNA-binding proteins ([RBP] the protein name). For reproducing the results, the source code is available at DOI: 10.5281/zenodo.3779853.
DOI: 10.15468/62pvxg
title: Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jongkind, Carel Christiaan Hugo (2015): Description of Gaertnera luteocarpa (Gentianales: Rubiaceae), with two subspecies, a new forest shrub species from Liberia, Ivory Coast and Ghana. European Journal of Taxonomy 126: 1-8, DOI: http://dx.doi.org/10.5852/ejt.2015.126
DOI: 10.5519/qd.5kc1b4nr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (751898 records)
DOI: 10.5519/qd.ywtxx1zj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (751898 records)
DOI: 10.17632/vhb4j5nfj8.1
title: Decision Tree of Coronavirus Disease 2019 (COVID-19) Surveillance

description: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm
DOI: 10.17632/62zvprcnhv.2
title: game assessment

description: Survey results Gamification applied to OR courses Experiment: Operations research - two groups - Fall 2019
DOI: 10.17632/tmynggddfm.1
title: Data and Code Supplement for 'A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix'

description: This file contains R code used to collect sports scores from masseyratings.com and to fit the scores according to the statistical models described in "A Diagnostic for Bias in Linear Mixed Model Estimators Induced by Dependence Between the Random Effects and the Corresponding Model Matrix" by Andrew Karl and Dale Zimmerman. The CSV files contain the results of the model fitting procedures and are the source of the graphics in the paper.
DOI: 10.25919/5eac4129b026f
title: Parkes observations for project P1069 semester 2020APRS_03

description: We propose to carry out Parkes follow-up observations of pulsar candidates identified in the Rapid ASKAP Continuum Survey (RACS). This is the first all-sky pulsar survey in the imaging domain in the southern hemisphere thanks to ASKAP. Eight sources have been selected because of (1) their very high fraction of circular polarisation; (2) their lack of optical counterparts; (3) strong variability, which might indicate either strong interstellar scintillation or eclipsing by companion stars if in binaries; (4) the non-detection of these relatively bright sources in previous pulsar surveys, which might indicate extreme nature of these candidates. High time and frequency resolution targeted search with UWL are proposed. Such observations will enable us to carry out deep searches of pulsars with very short spin periods or in compact binaries.
DOI: 10.5066/p9fiztpu
title: Thermal infrared and photogrammetric data collected by drone for hydrogeologic characterization around two US Geological Survey Next Generation Water Observing Systems stream gage locations near Claryville, NY, USA

description: The U.S. Geological Survey (USGS) collected low-altitude (typically 200-350 ft above land surface) airborne thermal infrared, and visual imagery data via a multirotor, small unoccupied aircraft system (UAS or 'drone') deployed along the river corridor encompassing two U.S. Geological Survey Next Generation Water Observing Systems (NGWOS) stream gage locations near Claryville, NY, USA. One site is the West Branch Neversink River at Claryville, NY (USGS station number 01434498) and the Neversink River at Claryville, NY (USGS station number 01435000). Beginning in summer 2019 these stations serve as groundwater/surface water instrumentation 'test beds'; for the NGWOS program. Data collected at the sites include water electrical conductivity, level, and temperature in mapped groundwater discharge zones adjacent to the gage houses, soil moisture on the streambank, and a suite of supporting atmospheric data. Unmanned aviation system-based visible-light imagery data were collected from October 8-10, 2019 in .jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic) using Agisoft Metashape (Agisoft LLC, St. Petersburg, Russia) software as described in the 'processed_data'; subfolders of this data release. Structure from Motion techniques were also applied to the visual imagery to derive time-specific, digital surface models (DSM). In addition to the visible-light data, thermal infrared still images were collected in radiometric .tif format. Thermal data were compiled into orthomosaics and DSMs in a similar manner to visible light imagery.
DOI: 10.5281/zenodo.3780576
title: The Caucasus-Economic and Social Analysis Journal of Southern Caucasus

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES SOCIAL, PEDAGOGY SCIENCES & HUMANITIES MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES TECHNICAL AND APPLIED SCIENCES REGIONAL DEVELOPMENT AND INFRASTRUCTURE ECONOMIC, MANAGEMENT & MARKETING SCIENCES LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.3780577
title: The Caucasus-Economic and Social Analysis Journal of Southern Caucasus

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES SOCIAL, PEDAGOGY SCIENCES & HUMANITIES MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES TECHNICAL AND APPLIED SCIENCES REGIONAL DEVELOPMENT AND INFRASTRUCTURE ECONOMIC, MANAGEMENT & MARKETING SCIENCES LEGAL, LEGISLATION AND POLITICAL SCIENCES