cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6535316
title: Dataset for Human visual gamma for color stimuli

description: This repository contains per-trial data and R analysis code reported in Stauch, B., Peter, A., Ehrlich, I., Nolte, Z., and Fries, P. (2022), <em>Human visual gamma for color stimuli.</em> eLife 11:e75897. doi: 10.7554/eLife.75897. If you want to have a look at the full analysis outcomes, start with analysis_notebook.html. The underlying code is in analysis_notebook.rmd.<br> Additionally, Matlab code that was used to extract per-trial data from the raw data is provided as preprocessingCode.zip.
DOI: 10.5281/zenodo.5578940
title: Dataset for Human visual gamma for color stimuli

description: This repository contains per-trial data and R analysis code reported in Stauch, B., Peter, A., Ehrlich, I., Nolte, Z., and Fries, P. (2022), <em>Human visual gamma for color stimuli.</em> eLife 11:e75897. doi: 10.7554/eLife.75897. If you want to have a look at the full analysis outcomes, start with analysis_notebook.html. The underlying code is in analysis_notebook.rmd.<br> Additionally, Matlab code that was used to extract per-trial data from the raw data is provided as preprocessingCode.zip.
DOI: 10.48370/ofd/0olrzm/kr0i91
title: MRIPAS_coll_163683_BisonBonasus_1994_M_juv_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/0olrzm/lfrdrw
title: MRIPAS_coll_163683_BisonBonasus_1994_M_juv_skull_without_horns_scan3D.stl

description: skull without horns
DOI: 10.48370/ofd/0olrzm/zfewsi
title: MRIPAS_coll_163683_BisonBonasus_1994_M_juv_skull_with_horns_scan3D_small.stl

description: skull with horns
DOI: 10.48370/ofd/0olrzm
title: Bison bonasus - 163683, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1994-12-20 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.5281/zenodo.4080925
title: From silk to sand: Multiple dimensions of perceived softness

description: Data related to the publication Manuscript: From silk to sand: Multiple dimensions of perceived softness Perceiving object softness is a crucial ability in many aspects of life, from choosing an avocado to picking your clothes. Traditionally, haptic softness has been equated with the compliance of elastic materials or springs, however, people use the attribute ‘soft’ to describe a wide variety of materials that differ substantially in their physical properties. For example, both, silk and sand are soft, but in very different ways. In this study 32 participants explored soft and non-soft materials haptically and rated them on several attributes. Using the semantic differential technique and video analysis, we show here that haptic softness has, in fact, four dimensions and that each softness dimension is associated with a distinct set of hand and finger movements during active exploration. Taken together our findings suggest that judging the softness of materials is a more heterogeneous process than originally thought, also affecting how a material is explored. Below script for classification from Mathworks Inc. uses built-in Matlab functions, we only changed variable names: clear all, close all, clc<br> load(data)<br> for i = 1:length(obslist) <br> index(i) = find([mater_names{:,1}] == obslist(i,1)); <br> end for c = 1:length(obslist)<br> idx = c;%obslist(c,1);<br> mater_categ(c,1) = mater_names(index(idx),3);<br> mater_categ(c,2) = mater_names(index(idx),2);<br> end<br> unique(mater_categ) X = epm; % EP frequencies are measurements<br> Y = mater_categ(:,1); % softness dimensions t = templateSVM('Standardize',1,'KernelFunction','gaussian'); Mdl = fitcecoc(X,Y,'Learners',t,'FitPosterior',1,...<br> 'ClassNames',{'deformable';'fluid';'granular';'rough';'surface'},...<br> 'Verbose',2);<br> [label,~,~,Posterior] = resubPredict(Mdl,'Verbose',2);<br> Mdl.BinaryLoss<br> idx = randsample(size(X,1),10,1);<br> % Mdl.ClassNames<br> table(Y(idx),label(idx),Posterior(idx,:),...<br> 'VariableNames',{'TrueLabel','PredLabel','Posterior'}) t = templateSVM('Standardize',1)<br> Mdl = fitcecoc(X,Y,'Learners',t,...<br> 'ClassNames',{'deformable';'fluid';'granular';'rough';'surface'});<br> CVMdl = crossval(Mdl,'Leaveout','on');<br> oosLoss = kfoldLoss(CVMdl)
DOI: 10.6084/m9.figshare.19732414
title: Supplementary materials for "The dialect chain of the Timor-Alor-Pantar language family: A new analysis using systematic Bayesian phylogenetics" by Gereon A. Kaiping and Marian Klamer, published in LDC (2022)

description: These are the supplementary materials for an article published in Language Dynamics and Change, entitled 'The dialect chain of the Timor-Alor-Pantar language family: A new analysis using systematic Bayesian phylogenetics', by Gereon A. Kaiping and Marian Klamer, with DOI: 10.1163/22105832-bja10019. This paper refines the subgroupings of the Timor-Alor-Pantar (TAP) family of Papuan languages, using a systematic Bayesian phylogenetics study. While recent work indicates that the TAP family comprises a Timor (T) branch and an Alor-Pantar (AP) branch (Holton et al., 2012; Schapper et al., 2017), the internal structure of the AP branch has proven to be a challenging issue, and earlier studies leave large gaps in our understanding. Our Bayesian inference study is based on an extensive set of TAP lexical data from the online LexiRumah database (Kaiping et al., 2019b; Kaiping and Klamer, 2018). Systematically comparing different analytical models and tying them back to the evidence in terms of historical linguistics, we arrive at a subgrouping structure of the TAP family that is based on features of the phylogenies shared across the different analyses. Our TAP tree differs from all earlier proposals by inferring the East Alor subgroup as an early split-off from all other AP languages, instead of the most deeply embedded subgroup inside that branch. The evidences suggests that dialect cluster effects played a major role in the formation of today’s Timor-Alor-Pantar languages. These datasets consist of the raw data used in this study.
DOI: 10.6084/m9.figshare.19732414.v1
title: Supplementary materials for "The dialect chain of the Timor-Alor-Pantar language family: A new analysis using systematic Bayesian phylogenetics" by Gereon A. Kaiping and Marian Klamer, published in LDC (2022)

description: These are the supplementary materials for an article published in Language Dynamics and Change, entitled 'The dialect chain of the Timor-Alor-Pantar language family: A new analysis using systematic Bayesian phylogenetics', by Gereon A. Kaiping and Marian Klamer, with DOI: 10.1163/22105832-bja10019. This paper refines the subgroupings of the Timor-Alor-Pantar (TAP) family of Papuan languages, using a systematic Bayesian phylogenetics study. While recent work indicates that the TAP family comprises a Timor (T) branch and an Alor-Pantar (AP) branch (Holton et al., 2012; Schapper et al., 2017), the internal structure of the AP branch has proven to be a challenging issue, and earlier studies leave large gaps in our understanding. Our Bayesian inference study is based on an extensive set of TAP lexical data from the online LexiRumah database (Kaiping et al., 2019b; Kaiping and Klamer, 2018). Systematically comparing different analytical models and tying them back to the evidence in terms of historical linguistics, we arrive at a subgrouping structure of the TAP family that is based on features of the phylogenies shared across the different analyses. Our TAP tree differs from all earlier proposals by inferring the East Alor subgroup as an early split-off from all other AP languages, instead of the most deeply embedded subgroup inside that branch. The evidences suggests that dialect cluster effects played a major role in the formation of today’s Timor-Alor-Pantar languages. These datasets consist of the raw data used in this study.
DOI: 10.22008/fk2/omsra5/uwpztf
title: G250_Nathorst_Land_72Ø3_400dpi.tif
DOI: 10.22008/fk2/omsra5/ogb4zd
title: G250_Nathorst_Land_72Ø3_400dpi.pdf
DOI: 10.5281/zenodo.5896641
title: Radar measurements on drones, birds and humans with a 77GHz FMCW sensor.

description: This data set contains radar measurements on birds, humans and six different drones with a total of 75868 samples. The sensor was a frequency modulated continuous wave (FMCW) radar operating at 77 GHz with a mechanically scanning antenna. The 'ReadMe.txt' file contains a detailed description of the data. The data set is used in [1] where only FM-sweeps corresponding to azimuth index 54 to 203 are used (out of the provided 256), or 150 sweeps. When using this data set please refer to: [1] A. Karlsson, M. Jansson and M. Hämäläinen, "Model-Aided Drone Classification Using Convolutional Neural Networks," <em>2022 IEEE Radar Conference (RadarConf22)</em>, 2022, pp. 1-6, doi: 10.1109/RadarConf2248738.2022.9764194. The data in version 1.0 and 2.0 is identical apart from the format, ".mat" in 1.0 and ".npy" in 2.0
DOI: 10.5281/zenodo.5511911
title: Radar measurements on drones, birds and humans with a 77GHz FMCW sensor.

description: This data set contains radar measurements on birds, humans and six different drones with a total of 75868 samples. The sensor was a frequency modulated continuous wave (FMCW) radar operating at 77 GHz with a mechanically scanning antenna. The 'ReadMe.txt' file contains a detailed description of the data. The data set is used in [1] where only FM-sweeps corresponding to azimuth index 54 to 203 are used (out of the provided 256), or 150 sweeps. When using this data set please refer to: [1] A. Karlsson, M. Jansson and M. Hämäläinen, "Model-Aided Drone Classification Using Convolutional Neural Networks," <em>2022 IEEE Radar Conference (RadarConf22)</em>, 2022, pp. 1-6, doi: 10.1109/RadarConf2248738.2022.9764194. The data in version 1.0 and 2.0 is identical apart from the format, ".mat" in 1.0 and ".npy" in 2.0
DOI: 10.5258/soton/d2195
title: Data for Thesis "B → π ℓ ν and B s → K ℓ ν decays in the Continuum Limit of Lattice QCD"

description: Dataset to support Southampton Doctoral Thesis "B → π ℓ ν and B s → K ℓ ν decays in the Continuum Limit of Lattice QCD" The data files are all in the HDF5 format. These can be viewed using the standard HDF5 command-line tools such as h5dump, or opened with reader libraries such as the h5py Python library. There are three important datasets in each HDF5 file under the root group: - central: The timeslice-by-timeslice mean of the raw data. - bs_mean: The timeslice-by-timeslice mean of the Bootstrap samples. - samples: The Bootstrap samples in a (Configurations X Timeslices)-shaped matrix. This dataset contains, for the two processes BtoPi and BstoK: - data/ The full set of 2pt and 3pt correlators used to extract form factors across square lattice momenta n^2=0,1,2,3,4 and across the six ensembles C1, C2, M1, M2, M3, and F1S. - B/Bs naming convention: [B/Bs]-[ensemble]-[momentum]-[num_smeared].h5 (where num_smeared=0 -&gt; PointPoint, =1 -&gt; PointSmear, =2 -&gt; SmearSmear) - K/Pi naming convention: [Pi/K]-[ensemble]-[momentum].h5 - 3pt naming convention: [B/Bs]to[Pi/K]_3pt_[t/i]-[ensemble]-[momentum] - box/ The additional correlators required for the RHQ parameter "box" systematic analysis on the C1 and M2 ensembles. Final-state correlators are duplicates of the ones in the 'data/' directory. - B/Bs naming convention: [B/Bs]-[ensemble]-[m_b]-[csw]-[zeta]-[momentum]-[num_smeared].h5 (where num_smeared=0 -&gt; PointPoint, =1 -&gt; PointSmear, =2 -&gt; SmearSmear) - K/Pi naming convention: [Pi/K]-[ensemble]-[momentum].h5 - 3pt naming convention: [B/Bs]to[Pi/K]_3pt_[t/i]-[ensemble]-[m_b]-[csw]-[zeta]-[momentum] - strange/ (BstoK only) The additional correlators required for the strange-quark mistuning systematic analysis on the C1 ensemble. - B/Bs naming convention: [B/Bs]-[ensemble]-[m_s]-[m_b]-[csw]-[zeta]-[momentum]-[num_smeared].h5 (where num_smeared=0 -&gt; PointPoint, =1 -&gt; PointSmear, =2 -&gt; SmearSmear) - K/Pi naming convention: [Pi/K]-[ensemble]-[m_s]-[momentum].h5 - 3pt naming convention: [B/Bs]to[Pi/K]_3pt_[t/i]-[ensemble]-[m_s]-[m_b]-[csw]-[zeta]-[momentum]
DOI: 10.6084/m9.figshare.19738888
title: models of HD-BET brain extraction tool.

description: model parameters
DOI: 10.48370/ofd/vklujj
title: Xylodon paradoxus (Schrad.) Chevall., 3086

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19738858
title: Supplementary Material

description: Data on total organic carbon (wt.%), nitrogen (wt.%), and nitrogen isotopes (d<sup>15</sup>N, in permill) from lower to middle Triassic outcrops (Sverdrup Basin), Arctic Canada. Included in the article: <br> Continental weathering and recovery from ocean nutrient stress during the Early Triassic Biotic Crisis <br> by Jochen Knies and co-authors <br> to be published in <em>communications earth & environment</em> in 2022 <br>
DOI: 10.6084/m9.figshare.19738858.v1
title: TableS3_new.pdf

description: Data on total organic carbon (wt.%), nitrogen (wt.%), and nitrogen isotopes (d<sup>15</sup>N, in permill) from lower to middle Triassic outcrops (Sverdrup Basin), Arctic Canada. Included in the article: <br> Continental weathering and recovery from ocean nutrient stress during the Early Triassic Biotic Crisis <br> by Jochen Knies and co-authors <br> to be published in <em>communications earth & environment</em> in 2022 <br>
DOI: 10.6084/m9.figshare.19350196.v1
title: Antenatal insulin therapy in gestational diabetes mellitus: validation of the new Brugmann scores

description: Following the adoption of the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria for gestational diabetes mellitus (GDM) diagnosis by the World Health Organization (WHO) in 2014, many investigators have tried to identify independent risk factors for antenatal insulin therapy (AIT). The purpose of the current study is to build and validate a score that stratifies patients according to their need for AIT. All pregnant women diagnosed with GDM according to the IADPSG definition were included. Group 1 comprised patients of 2018, and group 2 comprised patients of 2019. Each group was divided into two subgroups: subgroup A comprised patients diagnosed according to the 75-g oral glucose tolerance test (OGTT), and subgroup B comprised patients diagnosed according to fasting plasma glucose (FPG). A total of 1298 patients were included; 19.3% of those diagnosed by OGTT and 40.9% by FPG required AIT. The risk for AIT was stratified as low, moderate, and high. Brugmann FPG score comprised six risk factors and Brugmann OGTT score 12. Higher scores were associated with higher risk for AIT. The use of these scores in the two subgroups of group 2 showed no statistical differences compared to group 1. Both Brugmann FPG and OGTT scores may be useful to stratify patients with GDM according to their need for AIT. Future studies should be conducted to prospectively validate these scores, and to examine whether or not using oral anti-hyperglycemic agents in a high-risk group may decrease the need for AIT.
DOI: 10.6084/m9.figshare.19350196
title: Antenatal insulin therapy in gestational diabetes mellitus: validation of the new Brugmann scores

description: Following the adoption of the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria for gestational diabetes mellitus (GDM) diagnosis by the World Health Organization (WHO) in 2014, many investigators have tried to identify independent risk factors for antenatal insulin therapy (AIT). The purpose of the current study is to build and validate a score that stratifies patients according to their need for AIT. All pregnant women diagnosed with GDM according to the IADPSG definition were included. Group 1 comprised patients of 2018, and group 2 comprised patients of 2019. Each group was divided into two subgroups: subgroup A comprised patients diagnosed according to the 75-g oral glucose tolerance test (OGTT), and subgroup B comprised patients diagnosed according to fasting plasma glucose (FPG). A total of 1298 patients were included; 19.3% of those diagnosed by OGTT and 40.9% by FPG required AIT. The risk for AIT was stratified as low, moderate, and high. Brugmann FPG score comprised six risk factors and Brugmann OGTT score 12. Higher scores were associated with higher risk for AIT. The use of these scores in the two subgroups of group 2 showed no statistical differences compared to group 1. Both Brugmann FPG and OGTT scores may be useful to stratify patients with GDM according to their need for AIT. Future studies should be conducted to prospectively validate these scores, and to examine whether or not using oral anti-hyperglycemic agents in a high-risk group may decrease the need for AIT.
DOI: 10.48370/ofd/xtlvdc
title: Xylodon nespori (Bres.) Hjorstam Ryvarden, 3101

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19738952
title: Jurassic tectonics of northeastern Gondwana: Evidence from the detrital zircon record of the Nambour Basin

description: Table S1
DOI: 10.6084/m9.figshare.19738952.v1
title: Jurassic tectonics of northeastern Gondwana: Evidence from the detrital zircon record of the Nambour Basin

description: Table S1
DOI: 10.6084/m9.figshare.19738955
title: Jurassic tectonics of northeastern Gondwana: Evidence from the detrital zircon record of the Nambour Basin

description: Table S2
DOI: 10.6084/m9.figshare.19738955.v1
title: Jurassic tectonics of northeastern Gondwana: Evidence from the detrital zircon record of the Nambour Basin

description: Table S2
DOI: 10.5517/ccdc.csd.cc29l1xw
title: CCDC 2132518: Experimental Crystal Structure Determination

description: Related Article: Seokkyun Jeong, Dongwon Kim, Ok-Sang Jung|2022|Cryst.Growth Des.|22|3245|doi:10.1021/acs.cgd.2c00085
DOI: 10.5517/ccdc.csd.cc29l1zy
title: CCDC 2132520: Experimental Crystal Structure Determination

description: Related Article: Seokkyun Jeong, Dongwon Kim, Ok-Sang Jung|2022|Cryst.Growth Des.|22|3245|doi:10.1021/acs.cgd.2c00085
DOI: 10.6084/m9.figshare.19738951
title: hd-bet_params.zip

description: HD-BET is a brain extraction tool, the result of a joint project between the Department of Neuroradiology at the Heidelberg University Hospital and the Division of Medical Image Computing at the German Cancer Research Center (DKFZ). Here we provided the model parameters.
DOI: 10.6084/m9.figshare.19738951.v1
title: hd-bet_params.zip

description: HD-BET is a brain extraction tool, the result of a joint project between the Department of Neuroradiology at the Heidelberg University Hospital and the Division of Medical Image Computing at the German Cancer Research Center (DKFZ). Here we provided the model parameters.
DOI: 10.48370/ofd/ztiqc9
title: Xylodon paradoxus (Schrad.) Chevall., 3106

description: Fungarium Macromycetes
DOI: 10.17903/fk2/ok2lsv
title: Το ραδιόφωνο

description: Η συλλογή αυτή αφορά στην κοινωνική ιστορία του ραδιοφώνου. Η έρευνα πραγματοποιήθηκε σε συνεργασία με το Μουσείο Ραδιοφώνου του Λαύκου Πηλίου, περιέχει 15 ατομικές συνεντεύξεις και μια ομαδική με επαγγελματίες του ραδιοφώνου (από την ΕΡΑ Βόλου, το Δημοτικό Ραδιόφωνο Βόλου, το ιδιωτικό ραδιόφωνο και πειρατικούς σταθμούς) και συνεντεύξεις με ακροατές από την Ελλάδα και την Ανατολική Ευρώπη. Η συλλογή περιέχει επίσης πολυμεσικές παρουσιάσεις κάθε συνέντευξης σε μορφή powerpoint.
DOI: 10.22008/fk2/ohjwhs/mvkxjb
title: G100_Neria_61V1_N_400dpi.tif
DOI: 10.17903/fk2/v42tfi
title: Dictatorship (1967-1974), political prisoners

description: The collection contains 43 interviews with people who took part in anti-dictatorship struggle (1967-1974) in Greece and abroad. The main part of the interviews was conducted in 2007-2009 by Polymeris Voglis in the framework of the research program "Around 1968, Activism, Networks, Trajectories" of the University of Oxford. Another 4 interviews were conducted in 2007 in the same thematic in the context of the project funded by the Research Committee entitled "Oral testimony as a source of new historical knowledge". The collection was completed in 2018 with 4 more interviews by Polymeris Voglis.
DOI: 10.5522/04/17295371
title: Source data for the 2022 Nature Communications paper "Liquid-microjet photoelectron spectroscopy of the green fluorescent protein chromophore"

description: Data for a nature communications publication on the liquid-microjet photoelectron spectroscopy of the green fluorescent protein chromophore.<br>Cartesian coordinates of the most important/representative structures.<br>
DOI: 10.5522/04/17295371.v1
title: Source data for the 2022 Nature Communications paper "Liquid-microjet photoelectron spectroscopy of the green fluorescent protein chromophore"

description: Data for a nature communications publication on the liquid-microjet photoelectron spectroscopy of the green fluorescent protein chromophore.<br>Cartesian coordinates of the most important/representative structures.<br>
DOI: 10.5445/ir/1000145859
title: PRESLHY Experiment series 3.1, part B

description: In the work package WP3.1 of the PRESLHY project the blow-down behavior of cryogenic hydrogen stored at elevated pressure is investigated by the project partners Karlsruhe Institute of Technology (KIT) and Pro-Science (PS). The main purpose of WP3.1 was to provide validation or reference data for • models defining or using a discharge coefficient, • subsequent explosion tests, where the released gases will be ignited (see E5.2), and • electrostatic field excitation and associated ignition potential of high-pressure hydrogen gas jets at cryogenic temperatures.
DOI: 10.5519/qd.6gy0ap24
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6535431
title: Dartseq SNP data of Uganda sorghum germplasm

description: SNP data generated DArTseq for Ugandan S. bicolor germplasm accessions (UG set) from the Plant Genetic Resources Centre at the Uganda National Genebank.
DOI: 10.5281/zenodo.6535430
title: Dartseq SNP data of Uganda sorghum germplasm

description: SNP data generated DArTseq for Ugandan S. bicolor germplasm accessions (UG set) from the Plant Genetic Resources Centre at the Uganda National Genebank.
DOI: 10.17632/jwwkwj9wpc.1
title: Advertised bets on social media by gambling operators and affiliates

description: This dataset contains information on bets advertised on 5 gambling operator and 5 gambling affiliate Twitter accounts over a 2 week period from 16/09/2019 to 29/09/2019. Information recorded includes; the bet advertised, when it was advertised, the type of bet, decimal odds, whether the bet won or lost, how many times it was advertised, whether there was a betting inducement, whether it was advertised as a "best" bet and whether the success of the bet was commented upon to followers of the account.
DOI: 10.17632/9bcxx5h5s4.1
title: Data on Fish Farmers’ Intention to Use Black Soldier Fly Larvae Meal in Nile Tilapia Production in Kenya

description: This is a primary data colected using cross-sectional survey design t from 211 randomly selected cage operators (98) and pond farmers (113) in Kenya's Siaya, Kisumu, and Homabay Countiesz. The data was collected between December 2020 and April 2021. The data captures variables relating to the relationship between TAM constructs, namely Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude towards Use (ATT), and Behavioral Intention (BI) to use BSFL
DOI: 10.17632/fst4m6s3ms.1
title: Data for: Size- and sex-related sensitivity differences of aquatic crustaceans to imidacloprid

description: Raw data and the outputs of openGUTS for paper Size- and sex-related sensitivity differences of aquatic crustaceans to imidacloprid.