cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11862861.v9
title: Simulated zero-crossing wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment r1i1p1f1

description: Simulated zero-crossing wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment (CO2 abruptly quadrupled and then held constant) r1i1p1f1, which is branch from Jan 1, 301 of piControl experiment. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.18419/darus-513/390
title: 161IrregSurvH0d18_T2d3_v4d0.mat

description: :unav
DOI: 10.18419/darus-513/371
title: 138IrregH0d06_T0d9_v1d48_45deg_10MW.mat

description: :unav
DOI: 10.21227/1xq5-6x30
title: Transcranial Doppler Ultrasound Database (Philips CX50 device)

description: Summary:The transcranial Doppler echo data was recorded from both healthy and neurocritical care patients. The insonated cerebral vessels were the middle cerebral artery (MCA) and the internal carotid artery (ICA). The ultrasound device used in this study was the Philips CX50.
DOI: 10.5255/ukda-sn-854061
title: Interviews with women in early sobriety 2019
DOI: 10.18419/darus-513/375
title: 142SteadyWind_v0d9_10MW.mat

description: :unav
DOI: 10.18419/darus-513/382
title: 149RegH0d13T1d29v2d63_10MW.mat

description: :unav
DOI: 10.18419/darus-513/378
title: 145SteadyWind_v2d63_10MW.mat

description: :unav
DOI: 10.5281/zenodo.3675333
title: CNES ALCD Open water masks

description: "CNES ALCD Open water masks" is a reference dataset for water masks based on Sentinel-2 (L1C) images. This dataset generation has been funded by CNES under the SWOT-Downstream programme. <strong>Generation Method</strong> This dataset has been generated with the Active Learning for Cloud Detection (ALCD) software developed by CNES/Cesbio, that enables to generate any kind of reference mask using satellite images. This procedure involves between 1 or 2 hours of work to generate each reference image : create reference points on the image (water, land, cloud, snow...) manually, do the training (based on Random Forest of OTB) and prediction with ALCD, add new reference points for the most problematic areas, repeat new training/predictions as many times as necessary (usually 3-5 iterations), and finally, do a manual correction of persistent errors. <strong>Dataset format (raw masks)</strong> The dataset contains 16 files (scenes) at 10m resolution for 110km x 110km size. The content of pixels of the scene files (geotiff) follows the following naming rule<br> 0 = Non Water observation (as land, snow)<br> 1 = Open Water observation<br> 255 = no data (as clouds) Format of file names: T{tile}_{YYYMMDD}_{site}_{season}.tif where : tile = reference Sentinel 2 tile (Cesbio post), YYYYMMDD = date of Sentinel 2 acquisition, site = name of the site, season = summer, winter Example : T30TXQ_20180201_Bordeaux_winter.tif T30UXU_20180708_Bretagne_summer.tif <br> <strong>Dataset format (inland masks)</strong><br> <br> This dataset has a version without coastal/ocean waters called "inland masks" aimed to characterize just inland waters. The dataset has been processed with the coastal lines of GSSHG layers : https://www.soest.hawaii.edu/pwessel/gshhg/ in H level, and using an erosion of 400m towards the continent.<br> Thus, any pixel closer to the GSSHG coast line than 400m and beyond will be considered as "no data"(value=255). The format of the pixels content and file naming follow the same rules as in the "raw masks" version.
DOI: 10.18419/darus-513/388
title: 159whitenoise_H0d08_v1d48.mat

description: :unav
DOI: 10.18419/darus-513/394
title: 165IrregH0d09_T1d1_v2d30_10MW.mat

description: :unav
DOI: 10.18419/darus-513/391
title: 162IrregSurvH0d23_T2d0_v4d0.mat

description: :unav
DOI: 10.34619/dpv4-4w25
title: Metabolic flux analysis for a ppc mutant Escherichia coli based on 13C-labelling experiments together with enzyme activity assays and intracellular metabolite measurements [Datasets]

description: Data from the manuscript: Peng L, Arauzo-Bravo MJ, Shimizu K. Metabolic flux analysis for a ppc mutant Escherichia coli based on 13C-labelling experiments together with enzyme activity assays and intracellular metabolite measurements. FEMS Microbiol Lett. 2004;235(1):17-23. doi:10.1016/j.femsle.2004.04.003
DOI: 10.18419/darus-513/397
title: TestRunsSelection.csv

description: TestRunsSelection spreadsheet of 000_DataIndex_INNWIND_ECN1409_shortened.xlsx as csv
DOI: 10.18419/darus-513/380
title: 147RegH0d06T0d9v1d48_10MW.mat

description: :unav
DOI: 10.18419/darus-513/383
title: 154RegH0d04T0d7v0d9_10MW_Lmoor5.mat

description: :unav
DOI: 10.18419/darus-513/384
title: 155RegH0d06T0d9v1d48_10MW_Lmoor5.mat

description: :unav
DOI: 10.5255/ukda-sn-854215
title: Irish dairy farmers' survey on production practices and pasture based, high input and indoor systems 2018-2019
DOI: 10.18419/darus-513/385
title: 156RegH0d09T1d1v2d30_10MW_Lmoor5.mat

description: :unav
DOI: 10.18419/darus-513/395
title: 166IrregH0d13_T1d29_v2d63_10MW.mat

description: :unav
DOI: 10.18419/darus-513/389
title: 160whitenoise_H0d15_v1d48.mat

description: :unav
DOI: 10.5281/zenodo.3968554
title: RCTs and non-RCT studies on preventive measures and treatments for Covid-19

description: In the course of our PubMed searches and prepreints from MedRxiv, we identified a number of RCTs and non-randomized studies on preventive measures and treatments for Covid-19 that we have included in our systematic review. This file is updated regularly.
DOI: 10.18419/darus-513/392
title: 163IrregH0d04_T0d7_v0d9_10MW.mat

description: :unav
DOI: 10.5281/zenodo.3675327
title: Data for: Wind drives temporal variation in pollinator visitation in a fragmented tropical forest

description: Data for "Wind drives temporal variation in pollinator visitation in a fragmented tropical forest." Files include: 1. Data on orchid bee abundance and species identification. 2. Data for collection sessions, including forest cover at each site, as well as wind data for the specific time period of the collection, and overall abundance counts, etc. 3. R scripts to recreate statistical presented in the paper, using the two datasets described above.
DOI: 10.18419/darus-513/393
title: 164IrregH0d06_T0d9_v1d48_10MW.mat

description: :unav
DOI: 10.18419/darus-513/396
title: SimulationModelParametersSLOW.csv

description: SimulationModelParametersSLOW spreadsheet of 000_DataIndex_INNWIND_ECN1409_shortened.xlsx as csv
DOI: 10.5281/zenodo.3675267
title: Gullspång Pull-out Test Data Set

description: This data set contains the outcome of a series of pull-out tests (and 3D scan analysis) in the investigation of the bond behavior of naturally-corroded, plain reinforcement sourced from a decommissioned structure. The contents of this data set includes 1) photos and test measurements for all tested rebars; 2) an SQL database containing all pullout (unprocessed) data; and 3) an SQL database containing processed data. Data is provided in SQL format to permit querying of entries across the otherwise large, and parametrically diverse, data set. A "Read Me" file is also provided for additional descriptions of the content within.
description: Funding Sources: 1) Trafikverket (TRV 2017/39084) -- Professor Karin Lundgren' 2) Svenska Forskningsrådet Formas (2016-00568) -- Professor Karin Lundgren
DOI: 10.5281/zenodo.3675330
title: List Anime Scrapped from riie.net per February 18, 2020

description: The data we take is anime movie data taken by an online movie streaming site called www.riie.net. The dataset contains six columns and 199 lines of anime series and movies with various genres. The anime_nama column contains the anime title, followed by anime_url column for the anime information site address. The anime types are loaded in anime_tipe column, meanwhile the anime_total_episode column contains information regarding the series total episode. The anime_status column is stating the latest update of the anime. Next column named anime_tgl_rilis provides the release date of the anime series or movies. Anime producers or production team can be seen in the anime_produser column. Information about score/ratings of the anime can be obtained from the anime_skor column. Meanwhile you can find out the genres from the column named anime_selection1 to anime_selection4. The anime_durasi column provides information on the duration of the anime series per episode, or movie.
DOI: 10.5281/zenodo.3675329
title: List Anime Scrapped from riie.net per February 18, 2020

description: The data we take is anime movie data taken by an online movie streaming site called www.riie.net. The dataset contains six columns and 199 lines of anime series and movies with various genres. The anime_nama column contains the anime title, followed by anime_url column for the anime information site address. The anime types are loaded in anime_tipe column, meanwhile the anime_total_episode column contains information regarding the series total episode. The anime_status column is stating the latest update of the anime. Next column named anime_tgl_rilis provides the release date of the anime series or movies. Anime producers or production team can be seen in the anime_produser column. Information about score/ratings of the anime can be obtained from the anime_skor column. Meanwhile you can find out the genres from the column named anime_genre1 to anime_genre4. The anime_durasi column provides information on the duration of the anime series per episode, or movie.
DOI: 10.5281/zenodo.3968556
title: Base noticias en twitter caso Temistocles Machado

description: Base de datos con todas las noticias publicadas por El Tiempo y El Espectador vía red social Twitter sobre el asesinato del líder social Temistocles Machado, con todas las respuestas generadas en la red social. Realizado en el marco de la investigación "Representaciones sociales del asesinato de líderes sociales en colombia 2018 en el discurso de la prensa colombiana"
DOI: 10.5281/zenodo.3968555
title: Base noticias en twitter caso Temistocles Machado

description: Base de datos con todas las noticias publicadas por El Tiempo y El Espectador vía red social Twitter sobre el asesinato del líder social Temistocles Machado, con todas las respuestas generadas en la red social. Realizado en el marco de la investigación "Representaciones sociales del asesinato de líderes sociales en colombia 2018 en el discurso de la prensa colombiana"
DOI: 10.6084/m9.figshare.11862861.v10
title: Simulated zero-crossing wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment r1i1p1f1

description: Simulated zero-crossing wave period (3-hourly, 150a) from FIO-ESM v2.0 abrupt-4xCO2 experiment (CO2 abruptly quadrupled and then held constant) r1i1p1f1, which is branch from Jan 1, 301 of piControl experiment. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.34619/4dqp-g589
title: Metabolic flux analysis for a ppc mutant Escherichia coli based on 13C-labelling experiments together with enzyme activity assays and intracellular metabolite measurements [Datasets]

description: Data from the manuscript: Peng L, Arauzo-Bravo MJ, Shimizu K. Metabolic flux analysis for a ppc mutant Escherichia coli based on 13C-labelling experiments together with enzyme activity assays and intracellular metabolite measurements. FEMS Microbiol Lett. 2004;235(1):17-23. doi:10.1016/j.femsle.2004.04.003
DOI: 10.5281/zenodo.3675375
title: Data Tugas Akhir SI ITS Data Crawling

description: Data is taken from Thesis Information Systems (SIM TA) Website of the ITS Information Systems Department (Link: http://is.its.ac.id/apps/simta/simta_mhslist.php). SIM TA's data is used for data collection of ITS Information Systems's students who have proposed the thesis title. In this dataset there are six attribute columns. The first one contains the Student NRP attribute which is the student ID number that applies at ITS. Student NRP contains 14 digit numbers where the first 2 digit numbers indicate the faculty code, the second 2 digit numbers indicate the department code, and the third 2 digit numbers indicate the year class. The second attribute contains the Name of the Student. The third attribute is the Name of the Supervisor of the student's thesis. Fourth attribute is the Thesis Title. The fifth attribute is Lab chosen by students. The last attribute is the Date the Proposal was presented. This dataset is only part of the original data, this data contains 120 rows.
DOI: 10.5281/zenodo.3675374
title: Data Tugas Akhir SI ITS Data Crawling

description: Data is taken from Thesis Information Systems (SIM TA) Website of the ITS Information Systems Department (Link: http://is.its.ac.id/apps/simta/simta_mhslist.php). SIM TA's data is used for data collection of ITS Information Systems's students who have proposed the thesis title. In this dataset there are six attribute columns. The first one contains the Student NRP attribute which is the student ID number that applies at ITS. Student NRP contains 14 digit numbers where the first 2 digit numbers indicate the faculty code, the second 2 digit numbers indicate the department code, and the third 2 digit numbers indicate the year class. The second attribute contains the Name of the Student. The third attribute is the Name of the Supervisor of the student's thesis. Fourth attribute is the Thesis Title. The fifth attribute is Lab chosen by students. The last attribute is the Date the Proposal was presented. This dataset is only part of the original data, this data contains 120 rows.
DOI: 10.18112/openneuro.ds002578.v1.0.0
title: P3 study
DOI: 10.5284/1059288
title: Darlington Fire Station, Darlington: Building Recording (OASIS ID: archaeol3-382813)

description: This archive presents the results of an archaeological recording project conducted in advance of proposed demolition work at Darlington Fire Station, St Cuthbert's Way, Darlington which was erected in 1972. A photographic survey of the buildings has been carried out. The works were commissioned by County Durham and Darlington Fire and Rescue Service and conducted by Archaeological Services Durham University.
DOI: 10.5519/qd.xv8eg4sc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (787094 records)
DOI: 10.5284/1059289
title: Former Co-Operative Store/Beechville Foods Factory, Beechville, Edmondsley: Building Recording (OASIS ID: aagarcha1-276465)

description: AAG Archaeology were commissioned to undertake a Level 2 standing building recording (SBR) on the former Co-Operative Store/Beechville Foods factory on Beechville, Edmondsley, County Durham. The building was largely unremarkable, the facade was original but there was some question over whether the rest had been rebuilt. The ephemera, fixtures and fittings were all from the Beechville Foods phase (1972-1996).
DOI: 10.5281/zenodo.3675392
title: Hasil Crawling Produk Kursi IKEA

description: Data ini merupakan hasil crawling produk kursi pada website IKEA dengan detail pada masing-masing produk seperti merek, jenis, harga, dan sebagainya.
DOI: 10.5281/zenodo.3675391
title: Hasil Crawling Produk Kursi IKEA

description: Data ini merupakan hasil crawling produk kursi pada website IKEA dengan detail pada masing-masing produk seperti merek, jenis, harga, dan sebagainya.
DOI: 10.5281/zenodo.3675407
title: Nepal landslide dataset for semantic segmentation

description: This database contains images used for the semantic segmentation of landslide scars from a fully convolutional neural network U-Net. 1. <strong>Training dataset: </strong>it contains 230 GeoTIFF 8 bits images and associated PNG masks (scars indicated in white and background in black color). 2. <strong>Validation dataset</strong>: it contains 35 GeoTIFF 8 bits images and associated PNG masks used for U-Net validation step. 3. <strong>Test dataset: </strong>it contains 10 GeoTIFF 8 bits images and associated PNG masks for testing.
DOI: 10.5281/zenodo.3675406
title: Nepal landslide dataset for semantic segmentation

description: This database contains images used for the semantic segmentation of landslide scars from a fully convolutional neural network U-Net. 1. <strong>Training dataset: </strong>it contains 230 GeoTIFF 8 bits images and associated PNG masks (scars indicated in white and background in black color). 2. <strong>Validation dataset</strong>: it contains 35 GeoTIFF 8 bits images and associated PNG masks used for U-Net validation step. 3. <strong>Test dataset: </strong>it contains 10 GeoTIFF 8 bits images and associated PNG masks for testing. Also, the "SHAPEFILES_LANDSLIDES.rar" file contains the vector layers of the masked images in .shp format.
DOI: 10.5281/zenodo.3674988
title: LatinISE subcorpora for SemEval 2020 task 1

description: This data collection contains the Latin test data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection]: a Latin text corpus pair (`corpus1/`, `corpus2/`) 40 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`) The corpus data have been automatically lemmatized and part-of-speech tagged, and have been partially corrected by hand. For homonyms, the lemmas are followed by the '\#' symbol and the number of the homonym according to the Lewis-Short dictionary of Latin when this number is greater than 1. For example, the lemma 'dico' corresponds to the first homonym in the Lewis-Short dictionary and 'dico\#2' corresponds to the second homonym, cf. Lewis-Short dictionary. __Corpus 1__ based on: LatinISE (McGillivray and Kilgarriff 2013), version on Sketch Engine language: Latin time covered: from the beginning of the second century before Christ (BC) to the end of the first century BC size: ~1.7 million tokens format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled encoding: UTF-8 __Corpus 2__ based on: LatinISE (McGillivray and Kilgarriff 2013) , version on Sketch Engine language: Latin time covered: from the beginning of the first century after Christ (AD) to the end of the twenty-first century AD size: ~9.4 million tokens format: lemmatized, sentence length &gt;= 2, no punctuation, sentences randomly shuffled encoding: UTF-8 Find more information on the data in the papers referenced below. <strong>References</strong> Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. To appear in SemEval@COLING2020. McGillivray, B. and Kilgarriff, A. (2013). Tools for historical corpus research, and a corpus of Latin. In Paul Bennett, Martin Durrell, Silke Scheible, Richard J. Whitt (eds.), New Methods in Historical Corpus Linguistics, Tübingen: Narr.<br>
DOI: 10.25405/data.ncl.11861277.v2
title: Teacher Workshop on Social Media use in Language Teaching Data

description: Data from Teachers workshop - audio discussion transcripts and completed graphs
DOI: 10.25405/data.ncl.11861262.v2
title: Learner Workshops on Social Media Use in Language Learning Data

description: Social media feature graphs, and transcriptions of audio discussions
DOI: 10.5281/zenodo.3675410
title: Nepal landslide dataset for semantic segmentation

description: This database contains images used for the semantic segmentation of landslide scars from a fully convolutional neural network U-Net. 1. <strong>Training dataset: </strong>it contains 230 GeoTIFF 8 bits images and associated PNG masks (scars indicated in white and background in black color). 2. <strong>Validation dataset</strong>: it contains 35 GeoTIFF 8 bits images and associated PNG masks used for U-Net validation step. 3. <strong>Test dataset: </strong>it contains 10 GeoTIFF 8 bits images and associated PNG masks for testing.
DOI: 10.34619/wfa0-da34
title: Time-dependent regulation of yeast glycolysis upon nitrogen starvation depends on cell history [Datasets]

description: Data from the manuscript: van Eunen K, Dool P, Canelas AB, et al. Time-dependent regulation of yeast glycolysis upon nitrogen starvation depends on cell history. IET Syst Biol. 2010;4(2):157-168. doi:10.1049/iet-syb.2009.0025
DOI: 10.21227/9w28-q617
title: H2Arm - BSP vs PID experiments

description: Many different methods have been proposed in the control and robotics literature for the control of robotics arms. Our main aim is to provide a complete software and hardware platform which allow the statistical replication of our results and the experimentation of other more or less sophisticated control strategies and algorithms.In our work, in order to validate our reproducible research platform and provide a template methodology for its usage, we have thoroughly compared in a reproducible way the performance of simple BSP and PID controls when applied to a light-weight, low accuracy and compliant open source robot arm (H2Arm). BSP significantly outperforms PID on this platform, but not w.r.t. to all metrics.The findings are interesting by themselves. They also show how easily statistically weak results can lead to qualitatively wrong conclusions, if you cherry-pick results.The present dataset contains: i) CAD design to 3D-print the H2Arm; ii) experimental data of comparison BSP vs PID; iii) all the code used to perform the experiments (both BSP and PID).
DOI: 10.5281/zenodo.3675373
title: Spatial genetic structure to identify populations at risk

description: Microsatellite genotypes, locality information, and raster data for Miller et al
DOI: 10.5281/zenodo.3675372
title: Spatial genetic structure to identify populations at risk

description: Microsatellite genotypes, locality information, and raster data for Miller et al
DOI: 10.7910/dvn/xro2pi/18gnji
title: Children_22236.tab

description: :unav
DOI: 10.7910/dvn/xro2pi/epxys4
title: Combined_Data_22236.ods

description: :unav
DOI: 10.21227/bsx5-6a58
title: H2Arm - BSP vs PID experiments

description: Many different methods have been proposed in the control and robotics literature for the control of robotics arms. Our main aim is to provide a complete software and hardware platform which allow the statistical replication of our results and the experimentation of other more or less sophisticated control strategies and algorithms.In our work, in order to validate our reproducible research platform and provide a template methodology for its usage, we have thoroughly compared in a reproducible way the performance of simple BSP and PID controls when applied to a light-weight, low accuracy and compliant open source robot arm (H2Arm). BSP significantly outperforms PID on this platform, but not w.r.t. to all metrics.The findings are interesting by themselves. They also show how easily statistically weak results can lead to qualitatively wrong conclusions, if you cherry-pick results.The present dataset contains: i) CAD design to 3D-print the H2Arm; ii) experimental data of comparison BSP vs PID; iii) all the code used to perform the experiments (both BSP and PID).
DOI: 10.5281/zenodo.3968410
title: Data for: Wintertime coastal upwelling in Lake Geneva: An efficient transport process for deep-water renewal in a large, deep lake

description: Combining field measurements, 3D numerical modeling and Lagrangian particle tracking,<br> we investigated wind-driven, Ekman-type coastal upwelling during the weakly stratified winter period 2017/2018<br> in Lake Geneva, a large and deep lake in western Europe. The data include measurements from<br> moored Acoustic Doppler Current Profilers (ADCP) and vertical temperature profiles<br> along with the corresponding 3D modeling and particle tracking results.<br> The three-dimensional model used in this study is based on the MIT General<br> Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).<br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118).
description: This work was supported by the Swiss National Science Foundation and the Bois Chamblard Foundation (https://www.bois-chamblard.ch/en/).