cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26060g
title: CCDC 2025974: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.5517/ccdc.csd.cc26061h
title: CCDC 2025975: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.5517/ccdc.csd.cc26062j
title: CCDC 2025976: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.5517/ccdc.csd.cc26063k
title: CCDC 2025977: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.5517/ccdc.csd.cc26064l
title: CCDC 2025978: Experimental Crystal Structure Determination

description: Related Article: A.J. Cigler, J.A. Kaduk|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1566|doi:10.1107/S2056989020011846
DOI: 10.21227/7g6w-g506
title: Supplementary Material To: A Safety Benchmark for Capacitive Proximity Sensing in Robotics – Safe Transient Contact Compliant to ISO TS 15066: Power and Force Limiting

description: Supplementary Data for Publication "A Safety Benchmark for Capacitive Proximity Sensing in Robotics - Safe Transient Contact in Compliance to ISO TS 15066: Power and Force Limiting The Supplementary Data includesSTL files of the test objects (already available)Measurement Data of each institute for the shown test objects (are partially uploaded, list of files will be completed soon) Disclaimer: This publication was submitted and is currently under review to be published for IEEE RA-L with ICRA 2021 option. Fundings: The research leading to this results has received fundingfrom the ”K ̈arntner Wirtschaftsf ̈orderung Fonds” (KWF) andthe ”European Regional Development Fund” (EFRE) withinthe CapSize project 26616/30969/44253 and from the Fed-eral Ministry of Education and Research (Bundesministeriumf ̈ur Bildung und Forschung in Germany, BMWF) within theproject SINA (Verbundprojekt-Nr.: V5ARA114) Preliminary version of the abstract: During the co-presence of human workers and robots in the same workspace, Power and Force Limiting (PFL) according to ISO TS 15066 is required to avoid injuries during undesired contacts. Capacitive Proximity Sensors (CPSs) offer a cost-effective solution to cover the entire robot manipulator with a fast close-range perception for Human-Robot Collaboration (HRC) tasks. Compared to pure tactile or force sensing, the sensors allow to increase the operating speed of cobots while still maintaining PFL. The robot reacts before impacts occur and does not suffer from occlusion, as the sensors can be placed directly on the robot’s surface to cover the full area and close the perception gap between tactile detection and mid-range distance sensors. However, since capacitive coupling to obstacles varies with distance, shape, and material properties,the projection from capacitance to actual distances is a general problem. A reference benchmark is required for the evaluation to ensure safe PFL. We derive the requirements described in ISO TS 15066 for PFL of critical body regions and propose a method for determining the pre-detection operation speed to comply with PFL. We propose an universal benchmark test procedure for fellow researchers to evaluate their capacitive sensors for safe PFL. With researchers from four different institutes presenting three different concepts of capacitive sensors and their applicability on different robots, the benchmark test procedure is evaluated, and the general applicability is demonstrated.
DOI: 10.17632/mghwfnwfrv.2
title: Data for: Oral uptake and persistence of the FnAb-8 protein characterized by in situ radio-labeling and PET/CT imaging

description: PET tracer labeling and imaging of protein uptake and distribution
DOI: 10.6084/m9.figshare.12217958.v2
title: Data from Roth et al - Parasites, precipitation, and quail hybridization

description: Raw data from counting infected cells in blood smears from two species of quail and their hybrids from a population in Royal Carrizo, CA.<br>
DOI: 10.6084/m9.figshare.12217958.v1
title: Data from Roth et al - Parasites, precipitation, and quail hybridization

description: Raw data from counting infected cells in blood smears from two species of quail and their hybrids. Winter precipitation is included for the years in which the samples were collected.<br>
DOI: 10.5281/zenodo.4114005
title: Data set for paper Predicting time to graduation at a large enrollmentAmerican university

description: A longitudinal data set of student grades, demographics, course participation, etc. for attending a large American university.
DOI: 10.5281/zenodo.4114004
title: Data set for paper Predicting time to graduation at a large enrollmentAmerican university

description: A longitudinal data set of student grades, demographics, course participation, etc. for attending a large American university.
DOI: 10.5281/zenodo.4110016
title: Crossreactive probes on Illumina DNA methylation arrays: a large study on ALS shows that a cautionary approach is warranted in interpreting epigenome-wide association studies

description: Data corresponding to the paper "Crossreactive probes on Illumina DNA methylation arrays: a large study on ALS shows that a cautionary approach is warranted in interpreting epigenome-wide association studies."<br> <br> Corresponding scripts can be found at: https://github.com/pjhop/dnamarray_crossreactivity<br> All downstream analyses in c9_analysis.Rmd and in supplementary_note.Rmd can be reproduced using the deposited data as follows: Clone the dnamarray_crossreactivity repository: &lt; git clone https://github.com/pjhop/dnamarray_crossreactivity.git &gt; Download the data ('data.zip') and place it in the 'dnamarray_crossreactivity' folder. Unzip the data.zip folder Scripts used to generate the data in each subdirectory can be found at: data/processed/c9_matches/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/c9_matches data/output/ewas/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/ewas data/output/figs/: empty folder, running 'c9_analysis.Rmd' will save figures here. data/misc/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/other data/extdata: Zhou <em>et al.</em> annotations (EPIC.hg19.manifest.tsv.gz, HM450.hg19.manifest.pop.tsv.gz, HM450.hg19.manifest.tsv.gz) were downloaded from: https://zwdzwd.github.io/InfiniumAnnotation (downloaded at 17/09/2020) Naeem <em>et al.</em><em> </em>data (12864_2013_7006_MOESM2_ESM.csv) was downloaded from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943510/ Chen <em>et al.</em> data (48639-non-specific-probes-Illumina450k.xlsx) was downloaded from https://github.com/Jfortin1/funnorm_repro/blob/master/bad_probes/48639-non-specific-probes-Illumina450k.xlsx The anno_450k.txt.gz and anno_EPIC.txt.gz are subsets of the annotation files included in the following package respectively: https://bioconductor.org/packages/release/data/annotation/html/IlluminaHumanMethylation450kanno.ilmn12.hg19.html and https://bioconductor.org/packages/release/data/annotation/html/IlluminaHumanMethylationEPICanno.ilm10b2.hg19.html data/genome_bs: Scripts used to generate these data can be found at https://github.com/pjhop/DNAmCrosshyb/blob/master/data-raw/bisulfite_convert_hg19.R and https://github.com/pjhop/DNAmCrosshyb/blob/master/data-raw/bisulfite_convert_hg38.R . data/raw: Individual-level data is available upon access at: https://ega-archive.org/studies/EGAS00001004587
DOI: 10.5281/zenodo.4110015
title: Crossreactive probes on Illumina DNA methylation arrays: a large study on ALS shows that a cautionary approach is warranted in interpreting epigenome-wide association studies

description: Data corresponding to the paper "Crossreactive probes on Illumina DNA methylation arrays: a large study on ALS shows that a cautionary approach is warranted in interpreting epigenome-wide association studies."<br> <br> Corresponding scripts can be found at: https://github.com/pjhop/dnamarray_crossreactivity<br> All downstream analyses in c9_analysis.Rmd and in supplementary_note.Rmd can be reproduced using the deposited data as follows: Clone the dnamarray_crossreactivity repository: &lt; git clone https://github.com/pjhop/dnamarray_crossreactivity.git &gt; Download the data ('data.zip') and place it in the 'dnamarray_crossreactivity' folder. Unzip the data.zip folder Scripts used to generate the data in each subdirectory can be found at: data/processed/c9_matches/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/c9_matches data/output/ewas/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/ewas data/output/figs/: empty folder, running 'c9_analysis.Rmd' will save figures here. data/misc/: https://github.com/pjhop/dnamarray_crossreactivity/tree/master/analysis/other data/extdata: Zhou <em>et al.</em> annotations (EPIC.hg19.manifest.tsv.gz, HM450.hg19.manifest.pop.tsv.gz, HM450.hg19.manifest.tsv.gz) were downloaded from: https://zwdzwd.github.io/InfiniumAnnotation (downloaded at 17/09/2020) Naeem <em>et al.</em><em> </em>data (12864_2013_7006_MOESM2_ESM.csv) was downloaded from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943510/ Chen <em>et al.</em> data (48639-non-specific-probes-Illumina450k.xlsx) was downloaded from https://github.com/Jfortin1/funnorm_repro/blob/master/bad_probes/48639-non-specific-probes-Illumina450k.xlsx The anno_450k.txt.gz and anno_EPIC.txt.gz are subsets of the annotation files included in the following package respectively: https://bioconductor.org/packages/release/data/annotation/html/IlluminaHumanMethylation450kanno.ilmn12.hg19.html and https://bioconductor.org/packages/release/data/annotation/html/IlluminaHumanMethylationEPICanno.ilm10b2.hg19.html data/genome_bs: Scripts used to generate these data can be found at https://github.com/pjhop/DNAmCrosshyb/blob/master/data-raw/bisulfite_convert_hg19.R and https://github.com/pjhop/DNAmCrosshyb/blob/master/data-raw/bisulfite_convert_hg38.R . data/raw: Individual-level data is available upon access at: https://ega-archive.org/studies/EGAS00001004587
DOI: 10.25345/c5qr3r
title: MassIVE MSV000086342 - MANF interactomes by AP-MS method in two mammalian cell lines, the HEK293 and INS1
title: AP-MS approach to identify MANF-interacting proteins from HEK293 and INS1 cell lines. Proteins were identified and MS1 quantified using Andromeda search engine and MaxQuant proteomics software 92. Thermo .raw files were searched against the human or rat component of the UniProt-database complemented with trypsin, BSA, GFP and tag sequences
DOI: 10.17632/rhgk26ngs8.2
title: Data for the multi-depot vehicle routing problem with profit fairness

description: This data is generated in order to investigate the multi-depot vehicle routing problem with profit fairness (MDVRP-PF), a bi-objective optimization problem that adds a fairness objective function to the classical cost minimization function. By studying the MDVRP-PF , we explore the effects of integrating fairness in the optimization process.In order to perform the desired experiments, artifcial MDVRP-PF instances are generated. These instances represent different configurations that could be suitable for carrier coalitions, especially with respect to customer locations and stand-alone revenue share of each carrier. In this sense, we differentiate between two types of customer locations (clustered vs. uniform) and two types of initial revenue share distribution (balanced vs. unbalanced). In clustered instances customers are placed closer to the depots of the carriers, while being randomly located in the uniform type. Both types represent possible realistic situations, where partners are located in different distant industrial/commercial regions or within the same urban area. Regarding revenue share, in balanced instances, all carriers contribute a similar amount of revenue. Contrarily, in unbalanced instances, notable differences exist in the initial revenues contributed by each carrier. For each pair of location-revenue share configurations (from now on coded as C B, C U, U B and U U), we generate a set of instances. Each set contains three instances of different sizes: 2 depots and 100 customers (2D 100C), three depots and 150 customers (3D 150C), and four depots and 200 customers (4D 200C). To keep simplicity of the experiments, all customers have the same demand (10) and the same revenue (100).
DOI: 10.5255/ukda-sn-854514
title: Catalogue of Mental Health Measures 2020

description: The catalogue can be browsed in a number of different ways depending on your interests and needs. You can search the catalogue for: (1) Mental health or wellbeing topics. For example, if you are looking for a study that has measures of depression, you could search ‘depression’. (2) Particular mental health measures. For example, if you know you are interested in the General Health Questionnaire, you could search for ‘GHQ’ or '"general health questionnaire"'. (3) Other areas of interest. This is particularly useful if you wish to examine the association between mental health and another topic you are interested in. In this case, you can use the filters on the left of the search page to filter for studies that have collected information about themes such as ‘ethnicity’, ‘diet’, ‘physical health’ or ‘education’. (4) Study design. In this case you could search for ‘birth cohort’, ‘twin’ or ‘repeat cross-sectional’ studies. (5) Study name. If you already know which study you are interested in, you can also search for the study name. Search terms can be combined to narrow the list of studies down to those which meet your needs.
DOI: 10.5281/zenodo.4114077
title: Differences in GPS variables according to playing formations and playing positions in U19 male soccer players

description: The aims of this study were 1) to investigate Global Positioning System (GPS)-based match physical performance according to players’ playing position in three different playing formations (4-4-2, 3-5-2, 4-3-3) and 2) to analyse the differences in match performance between 1st and 2nd half. Twenty-three U19 elite male soccer players (age: 18 ± 1 year, height: 1.80 ± 0.04 m, body mass: 70.65 ± 6.02 kg), categorized as Central Back (CB, n = 5), Full Back (FB, n = 4), Central Midfielders (CM, n = 4), Wingers (W, n = 3), Strikers (S, n = 7), were monitored using 10 Hz GPS during 31 competitive matches. The results showed that FB and W always had the highest very high-speed running distance and number of sprints in all playing formations. Significant decrease in all GPS variables was observed in the 2nd half of the match for all playing positions. Strength coaches should adopt specific training regimes in accordance with players’ playing position.
DOI: 10.5281/zenodo.4114076
title: Differences in GPS variables according to playing formations and playing positions in U19 male soccer players

description: The aims of this study were 1) to investigate Global Positioning System (GPS)-based match physical performance according to players’ playing position in three different playing formations (4-4-2, 3-5-2, 4-3-3) and 2) to analyse the differences in match performance between 1st and 2nd half. Twenty-three U19 elite male soccer players (age: 18 ± 1 year, height: 1.80 ± 0.04 m, body mass: 70.65 ± 6.02 kg), categorized as Central Back (CB, n = 5), Full Back (FB, n = 4), Central Midfielders (CM, n = 4), Wingers (W, n = 3), Strikers (S, n = 7), were monitored using 10 Hz GPS during 31 competitive matches. The results showed that FB and W always had the highest very high-speed running distance and number of sprints in all playing formations. Significant decrease in all GPS variables was observed in the 2nd half of the match for all playing positions. Strength coaches should adopt specific training regimes in accordance with players’ playing position.
DOI: 10.6084/m9.figshare.13117604.v1
title: Memory_word.sav

description: Data
DOI: 10.21227/j49v-wd18
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a directed network that represents a direct message exchange among Twitter users during eighteen crisis events. The dataset comprises 645,339 unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.21227/zzyv-4f35
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a directed network that represents a direct message exchange among Twitter users during eighteen crisis events. The dataset comprises 645,339 unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.21227/y1mv-bn18
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.21227/9v53-q540
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.5281/zenodo.4114074
title: Dataset of examples of Drosophila epithelia at different developmental stages

description: <strong>File list</strong> A) notum1_GFP.TIF and notum1_mCherry.TIF B) notum2_GFP.tif and notum2_mCherry.tif C) wing_disc1.tif D) wing_disc2.tif <strong>Samples</strong> A-B) Posterior region of live drosophila pupal notum. All the cells express E-Cadherin::GFP, and a clonal subpopulation of them express active Yorkie and nuclear mCherry protein. C-D) Drosophila wing imaginal discs from L3 larval stage stained for (C) E-cadherin (green) and GFP (clone, magenta), (D) E-cadherin (green) and phospho-histone H3 (magenta) <strong>Imaging conditions</strong> (A) was done on a confocal spinning disk microscope with a 40X oil objective. (B,C,D) images were acquired using a Zeiss LSM 880 confocal microscope, equipped with an oil immersion objective (Plan-Apochromat 40x/1.3 Oil DIC UV-IR M27). (A-B) Stacks were generated with a Z interval of 1.5 um, 0.5 for (C) and 1 um for (D). (A) pixel size is 0.28um. (B-D) pixel size is 0.35um.
DOI: 10.5281/zenodo.4114073
title: Dataset of examples of Drosophila epithelia at different developmental stages

description: <strong>File list</strong> A) notum1_GFP.TIF and notum1_mCherry.TIF B) notum2_GFP.tif and notum2_mCherry.tif C) wing_disc1.tif D) wing_disc2.tif <strong>Samples</strong> A-B) Posterior region of live drosophila pupal notum. All the cells express E-Cadherin::GFP, and a clonal subpopulation of them express active Yorkie and nuclear mCherry protein. C-D) Drosophila wing imaginal discs from L3 larval stage stained for (C) E-cadherin (green) and GFP (clone, magenta), (D) E-cadherin (green) and phospho-histone H3 (magenta) <strong>Imaging conditions</strong> (A) was done on a confocal spinning disk microscope with a 40X oil objective. (B,C,D) images were acquired using a Zeiss LSM 880 confocal microscope, equipped with an oil immersion objective (Plan-Apochromat 40x/1.3 Oil DIC UV-IR M27). (A-B) Stacks were generated with a Z interval of 1.5 um, 0.5 for (C) and 1 um for (D). (A) pixel size is 0.28um. (B-D) pixel size is 0.35um.
DOI: 10.5281/zenodo.4114100
title: Data for Are Changes in Alcohol Use and Personality Traits associated? A Cohort Study among Young Swiss Men

description: These are the data and metadata for the article <strong>Are Changes in Alcohol Use and Personality Traits associated? A Cohort Study among Young Swiss Men</strong> by <strong>Gerhard Gmel, Simon Marmet, Joseph Studer, and Matthias Wicki</strong> <strong>to be published in Frontiers of Psychiatry</strong>
description: This study was funded by the Swiss National Science Foundation (FN 33CSC0-122679 and FN33CS30-148493).
DOI: 10.5281/zenodo.4114099
title: Data for Are Changes in Alcohol Use and Personality Traits associated? A Cohort Study among Young Swiss Men

description: These are the data and metadata for the article <strong>Are Changes in Alcohol Use and Personality Traits associated? A Cohort Study among Young Swiss Men</strong> by <strong>Gerhard Gmel, Simon Marmet, Joseph Studer, and Matthias Wicki</strong> <strong>to be published in Frontiers of Psychiatry</strong>
description: This study was funded by the Swiss National Science Foundation (FN 33CSC0-122679 and FN33CS30-148493).
DOI: 10.5517/cc8qjs8
title: CCDC 259990: Experimental Crystal Structure Determination

description: Related Article: V.V.Roznyatovsky, N.E.Borisova, M.D.Reshetova, Yu.A.Ustynyuk, G.G.Aleksandrov, I.L.Eremenko, I.I.Moiseev|2004|Izv.Akad.Nauk SSSR,Ser.Khim.||1161|
DOI: 10.5517/ccdc.csd.cc1kxbph
title: CCDC 1457207: Experimental Crystal Structure Determination

description: Related Article: Jubaraj B. Baruah, Prithiviraj Khakhlary, Munendra Pal Singh, Arnav Bhuyan|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1z977r
title: CCDC 1826124: Experimental Crystal Structure Determination

description: Related Article: Xue Bai|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zlvp3
title: CCDC 1835376: Experimental Crystal Structure Determination

description: Related Article: Xue-Jie Tan, Kun Li|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1zvvg4
title: CCDC 1843057: Experimental Crystal Structure Determination

description: Related Article: Xiang Zhang,  Xia Dong,  Weigang Lu,  Dong Luo,  Xiao-Wei Zhu,  Xue Li,  Xiao-Ping Zhou,  Dan Li|2019|J.Am.Chem.Soc.|141|11621|doi:10.1021/jacs.9b04520
DOI: 10.5517/ccdc.csd.cc21hxzg
title: CCDC 1892146: Experimental Crystal Structure Determination

description: Related Article: Debdeep Mandal, Vivek Gupta, Biswajit Santra, Nicolas Chrysochos, Vivek W Bhoyare, Avijit Maiti, Abhisek Kar, Suman, Anku Guha, Pallavi Thakur, Ramakirushnan Suriya Narayanan, Nitin T Patil, Carola Schulzke, Vadapalli Chandrasekhar, Anukul Jana|2019|J.Chem.Sci.(Bangalore,India)|131|121|doi:10.1007/s12039-019-1712-8
DOI: 10.5517/ccdc.csd.cc21hy1k
title: CCDC 1892148: Experimental Crystal Structure Determination

description: Related Article: Debdeep Mandal, Vivek Gupta, Biswajit Santra, Nicolas Chrysochos, Vivek W Bhoyare, Avijit Maiti, Abhisek Kar, Suman, Anku Guha, Pallavi Thakur, Ramakirushnan Suriya Narayanan, Nitin T Patil, Carola Schulzke, Vadapalli Chandrasekhar, Anukul Jana|2019|J.Chem.Sci.(Bangalore,India)|131|121|doi:10.1007/s12039-019-1712-8
DOI: 10.5517/ccdc.csd.cc231j4v
title: CCDC 1937876: Experimental Crystal Structure Determination

description: Related Article: Justin M. Hoffman,  Xiaoyang Che,  Siraj Sidhik,  Xiaotong Li,  Ido Hadar,  Jean-Christophe Blancon,  Hisato Yamaguchi,  Mikaël Kepenekian,  Claudine Katan,  Jacky Even,  Constantinos C. Stoumpos,  Aditya D. Mohite,  Mercouri G. Kanatzidis|2019|J.Am.Chem.Soc.|141|10661|doi:10.1021/jacs.9b02846
DOI: 10.5517/ccdc.csd.cc231j7y
title: CCDC 1937879: Experimental Crystal Structure Determination

description: Related Article: Justin M. Hoffman,  Xiaoyang Che,  Siraj Sidhik,  Xiaotong Li,  Ido Hadar,  Jean-Christophe Blancon,  Hisato Yamaguchi,  Mikaël Kepenekian,  Claudine Katan,  Jacky Even,  Constantinos C. Stoumpos,  Aditya D. Mohite,  Mercouri G. Kanatzidis|2019|J.Am.Chem.Soc.|141|10661|doi:10.1021/jacs.9b02846