cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25380/iastate.10779986.v2
title: Longitudinal Shoe Study: 3D Shoe Scans

description: 3D scans of the soles of 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each), with associated measurements and data about shoe wear, surfaces, and wearers.<br><br>Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.<br><br> The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.<br><br> These files can be used to examine wear pattern development in 3D, to compare 3D data capture to 2D capture methods, and to explore which artifacts may be present in 3D scans. <br>
DOI: 10.25380/iastate.10779986
title: Longitudinal Shoe Study: 3D Shoe Scans

description: 3D scans of the soles of 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each), with associated measurements and data about shoe wear, surfaces, and wearers.<br><br>Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.<br><br> The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.<br><br> These files can be used to examine wear pattern development in 3D, to compare 3D data capture to 2D capture methods, and to explore which artifacts may be present in 3D scans. <br>
DOI: 10.25380/iastate.10779986.v1
title: Longitudinal Shoe Study: 3D Shoe Scans

description: 3D scans of the soles of 160 pairs of shoes (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each), with associated measurements and data about shoe wear, surfaces, and wearers.<br><br>Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.<br><br> The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.<br><br> These files can be used to examine wear pattern development in 3D, to compare 3D data capture to 2D capture methods, and to explore which artifacts may be present in 3D scans. <br>
DOI: 10.6084/m9.figshare.13089536.v1
title: R0184_20170830a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/c634-qh33
title: Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

description: In February 2016, LIGO announced the first observation of gravitational waves from a binary black hole merger, known as GW150914. To establish the confidence of this detection, large-scale scientific workflows were used to measure the event's statistical significance. These workflows used code written by the LIGO Scientific Collaboration and were executed on the LIGO Data Grid. The codes used to perform these analyses are publicly available, but there has not yet been an attempt to directly reproduce the results, although several subsequent analyses have replicated the analysis, confirming the detection. In this paper, we attempt to reproduce the result from the compact binary coalescence search presented in the GW150914 discovery paper using publicly available code executed primarily on the Open Science Grid. We show that we reproduce the original result, discuss the challenges we encountered, and make recommendations for scientists who wish to make their work reproducible.
DOI: 10.21227/61ry-8e10
title: Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

description: In February 2016, LIGO announced the first observation of gravitational waves from a binary black hole merger, known as GW150914. To establish the confidence of this detection, large-scale scientific workflows were used to measure the event's statistical significance. These workflows used code written by the LIGO Scientific Collaboration and were executed on the LIGO Data Grid. The codes used to perform these analyses are publicly available, but there has not yet been an attempt to directly reproduce the results, although several subsequent analyses have replicated the analysis, confirming the detection. In this paper, we attempt to reproduce the result from the compact binary coalescence search presented in the GW150914 discovery paper using publicly available code executed primarily on the Open Science Grid. We show that we reproduce the original result, discuss the challenges we encountered, and make recommendations for scientists who wish to make their work reproducible.
DOI: 10.21227/vm27-sg15
title: Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

description: In February 2016, LIGO announced the first observation of gravitational waves from a binary black hole merger, known as GW150914. To establish the confidence of this detection, large-scale scientific workflows were used to measure the event's statistical significance. These workflows used code written by the LIGO Scientific Collaboration and were executed on the LIGO Data Grid. The codes used to perform these analyses are publicly available, but there has not yet been an attempt to directly reproduce the results, although several subsequent analyses have replicated the analysis, confirming the detection. In this paper, we attempt to reproduce the result from the compact binary coalescence search presented in the GW150914 discovery paper using publicly available code executed primarily on the Open Science Grid. We show that we reproduce the original result, discuss the challenges we encountered, and make recommendations for scientists who wish to make their work reproducible.
DOI: 10.5281/zenodo.4088569
title: Song_et_al_2020_ERSS_DATASET

description: This dataset contains the underlying data for the following publication: <strong>Song, L., Lieu, J., Nikas, A., Arsenopoulos, A., Vasileiou, G., & Doukas, H. (2020). Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment. Energy Research & Social Science, 59, 101306., https://doi.org/10.1016/j.erss.2019.101306.</strong> Full details of methods used to create the dataset and provided within this publication.
DOI: 10.5281/zenodo.4088568
title: Song_et_al_2020_ERSS_DATASET

description: This dataset contains the underlying data for the following publication: <strong>Song, L., Lieu, J., Nikas, A., Arsenopoulos, A., Vasileiou, G., & Doukas, H. (2020). Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment. Energy Research & Social Science, 59, 101306., https://doi.org/10.1016/j.erss.2019.101306.</strong> Full details of methods used to create the dataset and provided within this publication.
DOI: 10.6084/m9.figshare.13089806
title: R0190_20170830a_videos

description: Rat 0190, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13089806.v1
title: R0190_20170830a_videos

description: Rat 0190, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12801140.v1
title: Rickettsia PhyloFlash and Kraken analysis of arthropod whole genome projects from Sequence Read Archive

description: Insights into the balance of <i>Rickettsia</i> groups within arthropod symbioses were obtained through searching for <i>Rickettsia</i> presence in Illumina datasets associated with arthropod whole genome sequence (WGS) projects in the SRA (60,409 records as of the 20th May 2019). To reduce the bias from over-represented laboratory model species (e.g. <i>Drosophila</i> spp., <i>Anopheles</i> spp.) a single dataset per species was examined, and where multiple data sets existed for a species, that with the largest read count was retained.<br>This data set was screened with phyloFlash which finds, extracts and identifies <i>16S rRNA</i> sequences. Reconstructed full <i>16S rRNA</i> sequences affiliated to <i>Rickettsia</i> were extracted and compared to sequences derived from the targeted screen phylogenetically (see sections above) to assess group representation within the genus. The microbial composition of all SRA datasets that did not result in a reconstructed <i>Rickettsia 16S rRNA</i> with phyloFlash were re-evaluated using Kraken2, a k-mer based taxonomic classifier for short DNA sequences. A cut-off of at least 40k reads assigned to <i>Rickettsia</i> taxa was applied for reporting potential infections (theoretical genome coverage of ~ 1 – 4X assuming an average genome size of ~1.5Mb).<br>
DOI: 10.5517/ccdc.csd.cc1q3cz5
title: CCDC 1582177: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d07
title: CCDC 1582178: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d18
title: CCDC 1582179: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d29
title: CCDC 1582180: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d3b
title: CCDC 1582181: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d4c
title: CCDC 1582182: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d5d
title: CCDC 1582183: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d6f
title: CCDC 1582184: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d7g
title: CCDC 1582185: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1q3d9j
title: CCDC 1582187: Experimental Crystal Structure Determination

description: Related Article: Kuppuswamy Arumugam, Malathy Selvachandran, Antony O Obanda, Mohamed C. Shaw, Perumalreddy Chandrasekaran, Sonya L. Caston Good, Joel T. Mague, Stephen Sproules, James Patrick Donahue|2018|Inorg.Chem.|57|4023|doi:10.1021/acs.inorgchem.8b00201
DOI: 10.5517/ccdc.csd.cc1pr79z
title: CCDC 1571461: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7b0
title: CCDC 1571462: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7c1
title: CCDC 1571463: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7d2
title: CCDC 1571464: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7f3
title: CCDC 1571465: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7g4
title: CCDC 1571466: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7h5
title: CCDC 1571467: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1pr7j6
title: CCDC 1571468: Experimental Crystal Structure Determination

description: Related Article: James A. Findlay, C. John McAdam, Joshua J. Sutton, Dan Preston, Keith C. Gordon, James D. Crowley|2018|Inorg.Chem.|57|3602|doi:10.1021/acs.inorgchem.7b02503
DOI: 10.5517/ccdc.csd.cc1q84w0
title: CCDC 1586762: Experimental Crystal Structure Determination

description: Related Article: Lv-Bing Yuan, Yan-Ping He, Lei Zhang, Jian Zhang|2018|Inorg.Chem.|57|4226|doi:10.1021/acs.inorgchem.7b03265
DOI: 10.5517/ccdc.csd.cc1q84x1
title: CCDC 1586763: Experimental Crystal Structure Determination

description: Related Article: Lv-Bing Yuan, Yan-Ping He, Lei Zhang, Jian Zhang|2018|Inorg.Chem.|57|4226|doi:10.1021/acs.inorgchem.7b03265
DOI: 10.5517/ccdc.csd.cc1q84y2
title: CCDC 1586764: Experimental Crystal Structure Determination

description: Related Article: Lv-Bing Yuan, Yan-Ping He, Lei Zhang, Jian Zhang|2018|Inorg.Chem.|57|4226|doi:10.1021/acs.inorgchem.7b03265
DOI: 10.5517/ccdc.csd.cc1q8c1d
title: CSD 1586953: Experimental Crystal Structure Determination

description: Related Article: Vadim M. Kovrugin, Rénald David, Jean-Noël Chotard, Nadir Recham, Christian Masquelier|2018|Inorg.Chem.|57|8760|doi:10.1021/acs.inorgchem.8b00401
DOI: 10.6084/m9.figshare.11096447
title: Flow_cytometry_dataset_EDTA_vs_citrate.7z

description: Flow cytometry dataset corresponding to manuscript "EDTA stabilizes the concentration of platelet-derived extracellular vesicles during and after blood collection".
DOI: 10.6084/m9.figshare.11096447.v1
title: Flow_cytometry_dataset_EDTA_vs_citrate.7z

description: Flow cytometry dataset corresponding to manuscript "EDTA stabilizes the concentration of platelet-derived extracellular vesicles during and after blood collection".
DOI: 10.25345/c5q48f
title: MassIVE MSV000086285 - GNPS_Synthetic cannabinoids in OF_1
title: untargeted assessment of synthetic cannabinoids in oral fluid
DOI: 10.6084/m9.figshare.10260722.v1
title: Data from: A review and statistical analysis of the key factors explaining critical swimming speed in Iberian freshwater fishes

description: Ucrit data for 35 Iberian freshwater species (18 native and 17 alien), from more than 90 literature sources published from 1959 to 2019.
DOI: 10.21227/9163-0v85
title: BaselineAvg

description: avg
DOI: 10.21227/df06-kd78
title: Model 1

description: Long-term (up to 11 months ahead) forecasting using regression Ensemble Trees. For monthly (kWh) consumption forecasting, we trained twelve regression models (one per month), using (daily kWh) consumption extracted features. From weekend/weekday and full series (170 features total):Statistical: median, variance, quantiles, ...Time-series: autocorrelations, trends, seasonalities, ...Data separation:General regression learning workflow: 60% (train), 20% (validation), 20% (test).Model types:Gradient Boosted Trees (using python XGBoost)Extremes:Worst case: January forecasts (minimal samples available: only 240 smart meters).Best case: December forecasts (maximal: 3238 smart meters).Most important features:Winter & summer:Trend statistics, using the LOESS seasonal decomposition (see: https://www.statsmodels.org/stable/examples/notebooks/generated/stl_decomposition.html). Specifically 90-95% quantiles.Summer also:Weekend/weekday separated statistics.
DOI: 10.5281/zenodo.4088640
title: UKESM1 and ATom data

description: This dataset was used to produce all plots in the manuscript titled "Constraints on global aerosol number concentration, SO<sub>2</sub> and condensation sink in UKESM1 using ATom measurements"
DOI: 10.5281/zenodo.4088639
title: UKESM1 and ATom data

description: This dataset was used to produce all plots in the manuscript titled "Constraints on global aerosol number concentration, SO<sub>2</sub> and condensation sink in UKESM1 using ATom measurements"
DOI: 10.5066/p99zmfj5
title: Data Release for "Comparability and reproducibility of biomarker ratio values measured by GC-QQQ-MS"

description: This data release includes biomarker ratio values calculated from measurements made at the USGS for the reference oil NSO-1 that were reported in a journal article entitled Comparability and reproducibility of biomarker ratio values measured by GC-QQQ-MS (French et al., 2020). French, K.L., Leider, A., and Hallmann, C., 2020, Comparability and reproducibility of biomarker ratio values measured by GC-QQQ-MS: Organic Geochemistry, v. 150, article 104124, https://doi.org/10.1016/j.orggeochem.2020.104124.
DOI: 10.6084/m9.figshare.6743207.v6
title: GBIF for CREST database

description: This database contains all the presence records of plants, beetles, chironomids, foraminifera and diatoms contained in the GBIF database in April 2018.<br>The coordinates of the presence records have been homogenised on a 0.25x0.25° grid, and corresponding bioclimatic values from the Worldclim2.0 database have been added.<br>These data are formatted and ready to use by the CREST software. Additional python scripts have been added to group plant species into pollen types.<br><b>To download the latest version of the database, please follow this link: https://figshare.com/articles/GBIF_for_CREST_database/6743207</b>
DOI: 10.5281/zenodo.4085730
title: Recombinant human ACE2 protein production and purification

description: Recombinant human ACE2 protein production and purification
description: Funded by Canada Foundation for Innovation (CFI) for the infrastructure and the Toronto COVID-19 Action Fund
DOI: 10.5281/zenodo.4085729
title: Recombinant human ACE2 protein production and purification

description: Recombinant human ACE2 protein production and purification
description: Funded by Canada Foundation for Innovation (CFI) for the infrastructure and the Toronto COVID-19 Action Fund
DOI: 10.6084/m9.figshare.13090514
title: Unstable solitons

description: Here we detected unstable solitons in four different measurements.Each measurement "a1.bin", "a2.bin", "a3.bin", "a4.bin"is analyzed by the code: "Unstable_analyze.m"Just replace the filename in line 2You obtain 3 matrices and 3 graphsI = the intensity from the time-lens (0.5 ps resolution)w = spectrum obtained by the time-stretchd = slow detector (100 ps resolution)<br><br><br>
DOI: 10.6084/m9.figshare.13090514.v1
title: Unstable solitons

description: Here we detected unstable solitons in four different measurements.Each measurement "a1.bin", "a2.bin", "a3.bin", "a4.bin"is analyzed by the code: "Unstable_analyze.m"Just replace the filename in line 2You obtain 3 matrices and 3 graphsI = the intensity from the time-lens (0.5 ps resolution)w = spectrum obtained by the time-stretchd = slow detector (100 ps resolution)<br><br><br>
DOI: 10.5281/zenodo.4088670
title: Co-authoring graphs of research teams in a laboratory in computer science

description: Our aim is to study inter-organisational collaborations initiated by researchers in their research activity. We considered the co-authoring graph involving at least researchers from LORIA (https://www.loria.fr/fr/), a French laboratory in computer science. The dataset is collected from the open French archive HAL (https://data.archives-ouvertes.fr/). Each file encodes (in DOT) the co-authoring graph of a team of LORIA. A node represents a researcher, two nodes are linked only if the corresponding researchers published together in 2018. An affiliation attribute is attached to each considered node. The name of researchers and the teams as well as the HAL:id are anonymised. Only affiliations remain the same.