cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4252635
title: spanish_used_car_market: Coches de segunda mano a la venta en España

description: En el siguiente <em>dataset</em> se presentan los datos sobre <strong>coches en venta en el territorio español </strong>obtenidos fruto del desarrollo de la Práctica 1 de la asignatura 'Tipología y Ciclo de Vida de los Datos' del Máster en Ciencia de Datos de la Universitat Oberta de Catalunya, con fin meramente académico. Los datos han sido recolectados utilizando técnicas de <em>web scraping </em>sobre el sitio web www.milanuncios.com. Los atributos del fichero .CSV se definen a continuación: <strong>ad_id</strong>: Identificador del anuncio del coche. <strong>ad_type</strong>: Tipo de anuncio. En nuestro caso, siempre va a ser Oferta. <strong>ad_time</strong>: Tiempo que llevaba publicado el anuncio cuando se recogió la información, en formato X horas o X días. En el caso en que fuese un anuncio destacado, no tenemos esa información. <strong>ad_title</strong>: Título del anuncio de venta, con formato {Marca} – {Modelo}. <strong>car_desc</strong>: Preview de la descripción del anuncio de venta del vehículo. <strong>car_km</strong>: Kilómetros que tiene recorridos el coche. <strong>car_year</strong>: Año de matriculación del vehículo. <strong>car_engine_type</strong>: Tipo de transmisión. Posibles valores: Manual | Automático. <strong>car_door_num</strong>: Número de puertas de las que dispone el coche. <strong>car_power</strong>: Potencia del vehículo, en formato XXX CV. <strong>car_price</strong>: Precio en euros por el que se vende el coche. <strong>advertizer_type</strong>: Indica cuál es el tipo de vendedor del vehículo. Valores posibles: Profesional | Particular. <strong>image_url</strong>: Foto principal del anuncio de venta del coche. <strong>ts</strong>: Hora en la que se recogió la información, con formato YYYY-MM-DD hh:mm:ss.ms. <strong>region</strong>: Provincia en la que se está vendiendo el vehículo.
DOI: 10.21227/sr2b-pj50
title: Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

description: Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Mature package release v2.0 available for download. Check './dcln.sh' for usage info.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.
DOI: 10.5281/zenodo.4140161
title: Single-cell immune repertoire sequencing of two convalescent COVID-19 patients

description: Single-cell immune repertoire sequencing of two convalescent COVID-19 patients using 10x genomics 5' immune profiling. Resulting output files are from the count and vdj functions from 10x genomic's cellranger v3.1.0.
DOI: 10.5281/zenodo.4140160
title: Single-cell immune repertoire sequencing of two convalescent COVID-19 patients

description: Single-cell immune repertoire sequencing of two convalescent COVID-19 patients using 10x genomics 5' immune profiling. Resulting output files are from the count and vdj functions from 10x genomic's cellranger v3.1.0.
DOI: 10.21227/qbxp-ze66
title: TEST DATASET FOR CCSPA ON K.

description: 'Test Dataset' folder:-Real_sk: random generated secret keys datasets-Trace_data: traces generated from chosen ciphertexts
DOI: 10.21227/nc9r-4y12
title: TEST DATASET FOR CCSPA ON K.

description: 'Test Dataset' folder:-Real_sk: random generated secret keys datasets-Trace_data: traces generated from chosen ciphertexts
DOI: 10.5519/qd.g28xl9zg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (31 records)
DOI: 10.25345/c57b7s
title: MassIVE MSV000086430 - Identification of Angiogenin as antimicrobial against Mt
title: LC-MS/MS sequencing of antibacterial chromatographic fractions 17 and 18
DOI: 10.5517/ccdc.csd.cc23x1y1
title: CCDC 1963383: Experimental Crystal Structure Determination

description: Related Article: Dehua Wu, Xinyi Fang, Jintong Song, Lang Qu, Xiangge Zhou, Haifeng Xiang, Jun Wang, Jin Liu|2021|Dyes Pigm.|184|108851|doi:10.1016/j.dyepig.2020.108851
DOI: 10.21227/6wk0-4d39
title: Baseline 5

description: Let's take an example, if we want to predict the missing months of the smart meters which signe up in May (we want to predict January, february, March and April), the following steps are applied : 1. We want to make a prediction for the smart meters that signed up in May (There are +/- 270 that sign up in May out of the 3258 smart meters) 2. Select all the smart meters that signed up in May or earlier (+/- 1350 smart meters = 270 x 5 smart meters = the 270 that sign up in January + the 270 in Feb + 270 in March + 270 in April + 270 in May) 3. Apply Kmeans clustering using DTW on the 1350 selected smart meters based on the data from May to December.4. To predict April : compute the average consumption for the month of April for each cluster, based on the smart meters which have data in April. 5. This average consumption is than repeated for the member of the cluster which have no data for April.
DOI: 10.5517/ccdc.csd.cc23x1z2
title: CCDC 1963384: Experimental Crystal Structure Determination

description: Related Article: Dehua Wu, Xinyi Fang, Jintong Song, Lang Qu, Xiangge Zhou, Haifeng Xiang, Jun Wang, Jin Liu|2021|Dyes Pigm.|184|108851|doi:10.1016/j.dyepig.2020.108851
DOI: 10.5517/ccdc.csd.cc23x204
title: CCDC 1963385: Experimental Crystal Structure Determination

description: Related Article: Dehua Wu, Xinyi Fang, Jintong Song, Lang Qu, Xiangge Zhou, Haifeng Xiang, Jun Wang, Jin Liu|2021|Dyes Pigm.|184|108851|doi:10.1016/j.dyepig.2020.108851
DOI: 10.5517/ccdc.csd.cc248pfk
title: CCDC 1974558: Experimental Crystal Structure Determination

description: Related Article: Ping Ju, Hua Yang, Long Jiang, Mengting Li, Yang Yu, Ensheng Zhang|2021|Spectrochim.Acta,Part A|246|118962|doi:10.1016/j.saa.2020.118962
DOI: 10.5517/ccdc.csd.cc2478xl
title: CCDC 1973209: Experimental Crystal Structure Determination

description: Related Article: Xitao Liu,  Zhiyun Xu,  Peiqing Long,  yunpeng yao,  Chengmin Ji,  Lina Li,  Zhihua Sun,  Maochun Hong,  and Junhua Luo|2020|Chem.Mater.|32|8965|doi:10.1021/acs.chemmater.0c02966
DOI: 10.5517/ccdc.csd.cc2478ym
title: CCDC 1973210: Experimental Crystal Structure Determination

description: Related Article: Xitao Liu,  Zhiyun Xu,  Peiqing Long,  yunpeng yao,  Chengmin Ji,  Lina Li,  Zhihua Sun,  Maochun Hong,  and Junhua Luo|2020|Chem.Mater.|32|8965|doi:10.1021/acs.chemmater.0c02966
DOI: 10.5517/ccdc.csd.cc2587wl
title: CCDC 2003929: Experimental Crystal Structure Determination

description: Related Article: David Núñez Alonso,  Marta Pérez-Torralba,  Rosa M. Claramunt,  M. Carmen Torralba,  Patricia Delgado-Martínez,  Ibon Alkorta,  José Elguero,  and Christian Roussel|2020|ACS Omega|5|25408|doi:10.1021/acsomega.0c03843
DOI: 10.5517/ccdc.csd.cc25yd3n
title: CCDC 2024241: Experimental Crystal Structure Determination

description: Related Article: Qinghong Zha, Yikang Wu|2020|J.Org.Chem.|85|14121|doi:10.1021/acs.joc.0c02180
DOI: 10.18112/openneuro.ds003361.v1.0.0
title: Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
DOI: 10.6084/m9.figshare.13204946
title: R0225-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0225."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204946.v1
title: R0225-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0225."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.21227/b10b-ry44
title: Simple Solution

description: Abstract
DOI: 10.7284/138565
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK200802 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138578
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK200802 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138579
title: Expendable Probe data collected during research cruise FK200802 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138580
title: Fluorometer data collected during research cruise FK200802 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138581
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK200802 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138582
title: Gyrocompass data collected during research cruise FK200802 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138562
title: INS (Inertial Navigation System) data collected during research cruise FK200802 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138583
title: INS (Inertial Navigation System) data collected during research cruise FK200802 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138563
title: Meteorological Station data collected during research cruise FK200802 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138564
title: Meteorological Station data collected during research cruise FK200802 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138585
title: Meteorological Station data collected during research cruise FK200802 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138560
title: pH data collected during research cruise FK200802 using a SUNBURST SAMI-pH instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138559
title: Radiometer data collected during research cruise FK200802 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138589
title: Radiometer data collected during research cruise FK200802 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138590
title: Radiometer data collected during research cruise FK200802 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138561
title: Speedlog data collected during research cruise FK200802 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138587
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK200802 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138588
title: TSG (Thermosalinograph) data collected during research cruise FK200802 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.5861622
title: Tomato water stress index as a function of irrigation depths

description: ABSTRACT Infrared thermometry allows evaluating plants under water stress, by measuring the canopy temperature, without the need of physical contact with the leaves. The aim of this study was to determine the water stress index of the tomato crop for industrial processing (Hybrid ‘BRS Sena’), as a function of irrigation depths applied by subsurface drip irrigation, in Southern Goiás, Brazil, in 2015 and 2016. The experiment was conducted in a randomized block design, with four replicates. The treatments consisted in five irrigation depths: 50, 75, 100, 125 and 150% of crop evapotranspiration. The water stress index of the tomato crop was evaluated using two methodologies, as a function of the canopy temperature, air temperature and other local meteorological parameters, as well as the relationship between water stress index and crop yield. Theoretical and empirical methods estimate CWSI similarly in tomato. In the hottest hours of the day, even under adequate soil moisture conditions, the ‘BRS Sena’ tomato showed CWSI above 0.2. CWSI is a good indicator to evaluate the water status of the tomato crop for industrial processing and to recommend the moment of irrigation. The higher the CWSI, the lower the yield of ‘BRS Sena’ tomato.
DOI: 10.6084/m9.figshare.13207181
title: Data table from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Dataset analyzed within the scope of the manuscript
DOI: 10.6084/m9.figshare.13207172
title: Table S10 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Results for the PGLS between hand-wing index (HWI) and habitat specialization (WSE and non-WSE species)
DOI: 10.6084/m9.figshare.13207169
title: Table S2 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Partition scheme for Bayesian Inference analysis
DOI: 10.6084/m9.figshare.13207166
title: Tables S11-S15 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Regression coefficients and standardized errors (between parenthesis) for the explanatory variables, AICc, ΔAICc, AICc weight, and evidence ratio (ER)
DOI: 10.6084/m9.figshare.13207163
title: Table S3 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Summary of records used to perform Ecological niche modelling (ENMs)
DOI: 10.6084/m9.figshare.13207160
title: Tables S5-S9 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Values for Blomberg's K and Pagel's lambda for the studied traits and their respective confidence values based on 1,000 permutations.
DOI: 10.6084/m9.figshare.13207157
title: Table S1 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Study species, habitat specialization as white-sand ecosystems specialist (WSE) or sister taxa (N), total number of specimens measured per species, species presence in the birdtree.org data, availability of genetic data in Genbank, species for which ecological niche models were performed (ENM) and those for which distribution shape files are available through Birdlife, and genetic markers accession numbers.
DOI: 10.6084/m9.figshare.13207154
title: Code from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: R Code used to perform PGLS analyses and AICc model selection
DOI: 10.6084/m9.figshare.13206260
title: Figure 1 (hypocotyl length)

description: Hypocotyl comparison at 20 μmol m<sup>−2</sup> s<sup>−1</sup> of white light and six-day old seedlings.
DOI: 10.6084/m9.figshare.13153620
title: Dataset Figure 5c

description: Dataset Fig 5c
DOI: 10.6084/m9.figshare.13207181.v1
title: Data table from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Dataset analyzed within the scope of the manuscript
DOI: 10.6084/m9.figshare.13207172.v1
title: Table S10 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Results for the PGLS between hand-wing index (HWI) and habitat specialization (WSE and non-WSE species)
DOI: 10.6084/m9.figshare.13207169.v1
title: Table S2 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Partition scheme for Bayesian Inference analysis
DOI: 10.6084/m9.figshare.13207166.v1
title: Tables S11-S15 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Regression coefficients and standardized errors (between parenthesis) for the explanatory variables, AICc, ΔAICc, AICc weight, and evidence ratio (ER)
DOI: 10.6084/m9.figshare.13207163.v1
title: Table S3 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Summary of records used to perform Ecological niche modelling (ENMs)
DOI: 10.6084/m9.figshare.13207160.v1
title: Tables S5-S9 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Values for Blomberg's K and Pagel's lambda for the studied traits and their respective confidence values based on 1,000 permutations.
DOI: 10.6084/m9.figshare.13207157.v1
title: Table S1 from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: Study species, habitat specialization as white-sand ecosystems specialist (WSE) or sister taxa (N), total number of specimens measured per species, species presence in the birdtree.org data, availability of genetic data in Genbank, species for which ecological niche models were performed (ENM) and those for which distribution shape files are available through Birdlife, and genetic markers accession numbers.
DOI: 10.6084/m9.figshare.13207154.v1
title: Code from Dispersal ability correlates with range size in Amazonian habitat–restricted birds

description: R Code used to perform PGLS analyses and AICc model selection
DOI: 10.6084/m9.figshare.13204934.v1
title: R0218-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0218."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204420.v1
title: Additional file 1 of Interprofessional collaboration associated with frequency of life-saving links to HIV continuum of care services in the urban environment of Newark, New Jersey

description: Additional file 1. Study Surveys.
DOI: 10.6084/m9.figshare.13201142.v1
title: R0235_20181119a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova, alternating stimulation session
DOI: 10.6084/m9.figshare.13201133.v1
title: R0235_20181116a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201118.v1
title: R0230_20181112a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201112.v1
title: R0230_20181109a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201109.v1
title: R0230_20181108a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201106.v1
title: R0230_20181107a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201103.v1
title: R0230_20181106a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201100.v1
title: R0230_20181105a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201010.v1
title: R0229_20181120a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova, alternating stimulation session
DOI: 10.6084/m9.figshare.13201007.v1
title: R0229_20181119a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13201004.v1
title: R0229_20181117a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13200998.v1
title: R0229_20181116a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13200989.v1
title: R0221_20180426a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova, alternating stimulation session
DOI: 10.6084/m9.figshare.13200977.v1
title: R0221_20180423a_videos

description: Rat 0221, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13200968.v1
title: R0218_20180302a_videos

description: Rat 0218, skilled reaching data collected in Leventhal laboratory by Alexandra Bova, alternating stimulation session
DOI: 10.6084/m9.figshare.13200461.v1
title: R0216_20180301a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova, alternating stimulation session
DOI: 10.6084/m9.figshare.13200452.v1
title: R0216_20180227a_videos

description: Rat 0216, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25405/data.ncl.13194698.v1
title: Quasar Feedback Survey - APEX Pilot Data (M.E. Jarvis et al. 2020)

description: This is the reduced APEX data covering the CO(2-1) and CO(6-5) emission lines for the 9 quasars as described in in M.E. Jarvis et al. 2020, MNRAS, 498, 1560 (DOI: 10.1903/mnras/staa2196). The pre-print article is also available on the public arXiv: arxiv.org/abs/2007.10351. As explained in the paper 9 of the quasars have CO(2-1) emission-line data and three of the quasars, additionally, have CO(6-5) data. All details of data acquisition and data reduction are explained in the journal article. <br>The tar file contains 12 .fits files, clearly named to correspond to each quasar and indicating which CO line is in the data. Comprehensive meta data is attached as headers to each fits file following the astronomy standards. <br>A python code is also provided in the tar file to plot the data for each source.
DOI: 10.6084/m9.figshare.13169621.v1
title: PPC data

description: This dataset belongs to the Collection: <br>ter Wal, Marije; Linde Domingo, Juan; Lifanov, Julia; Roux, Frederic; Kolibius, Luca; Gollwitzer, Stephanie; et al. (2020): Data for: Theta rhythmicity governs the timing of behavioural and hippocampal responses in humans specifically during memory-dependent tasks. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5192567<br><br><br>The dataset contains the following data:<br>PPC data from hippocampal microwire recordings from 10 iEEG patients while they performed a memory task.<br>The PPC data have been fully anonymized to protect the identity of the patients: information that could reveal the implantation scheme of specific patients has been removed. To this end, the original channel labels have been removed and replaced by bundle IDs. <br>For more details about the data please see the Collection.<br><br>