cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3764448
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764449
DOI: 10.5281/zenodo.3764449
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764449
DOI: 10.5281/zenodo.3764450
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764451
DOI: 10.5281/zenodo.3764451
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764451
DOI: 10.5281/zenodo.3764687
title: Data for the hydrodynamic, salinity and temperature 2D numerical simulation at Cádiz Bay (Spain)

description: The dataset included in this repository was used to perform numerical simulations of hydrodynamics, salinity and temperature in the Bay of Cádiz, including the calibration and testing of the model. The simulation were performed with a 2D implementation of the Delft3D model. <br> Brief description of the files included in the dataset: REDEXT_T_HIS_GolfoDeCadiz is a text file with the data from buoy 2342 used to define the offshore boundary conditions for waves (Hm0, Tp, Dmd), salinity (Sa2) and temperature (Ts2), and the wind forcing (Vv_md, Dv_md). See heading for variable units. Field_data.mat: this file contains the field data used to calibrate and validate the model. There is one structure for each of the five instruments deployed (I1, I2, I3, I3a and I3b) with measurements from acoustic Doppler current profilers (ADCPs) and conductivity-temperature (CTs) devices. For each instruments, data are split by calibration and testing periods. The variables therein are: X and Y: X and Y UTM 30S coordinates of the deployment location time: date of the data in julian days pressure: pressure data (m) vE and vN: East and North depth average velocities (m/s) sal: depth-average salinity (psu) temp: depth-average water temperature (ºC) Heat_model.mat: a file containing the variables needed for the heat model. The values correspond to the closest station to the Cádiz bay and were considered as representative of the condition therein. The variables are: Time: date in Julian days Cloudiness: daily-average cloudiness (%) Humidity: daily-average atmospheric relative humidity (%) Radiation: daily-average (short wave) solar radiation (W/m2) Temperature: daily-average air surface temperature (ºC) Flow_wave.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with online coupling of the Flow and Wave modules, including the harmonics of the astronomical tide in the .bca file Flow.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with only the Flow module activated. Some of the files are binary (.mat format) but can be easily read using open source tools (e.g., Python or Octave). The research leading to this dataset was founded by the Bay of Cadiz Port Authority and the Department of Innovation, Science and Business of the Andalusian Regional Government (Project P09-TEP-4630), the Spanish Ministry of Economy and Competitiveness through the Projects CTM2017-89531-R (PIRATES), CTM2017-82274-R (MICROBAHIA2) and by the <em>“Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo”</em>, CYTED (project PROTOCOL 917PTE0538). The authors would also thank to the staff of the Environmental Fluid Dynamics research group (GDFA, University of Granada) for their support during the field survey. The first author was partially funded by the Andalusian Regional Government, Research Grant RNM-6352.
DOI: 10.5281/zenodo.3764688
title: Data for the hydrodynamic, salinity and temperature 2D numerical simulation at Cádiz Bay (Spain)

description: The dataset included in this repository was used to perform numerical simulations of hydrodynamics, salinity and temperature in the Bay of Cádiz, including the calibration and testing of the model. The simulation were performed with a 2D implementation of the Delft3D model. <br> Brief description of the files included in the dataset: REDEXT_T_HIS_GolfoDeCadiz is a text file with the data from buoy 2342 used to define the offshore boundary conditions for waves (Hm0, Tp, Dmd), salinity (Sa2) and temperature (Ts2), and the wind forcing (Vv_md, Dv_md). See heading for variable units. Field_data.mat: this file contains the field data used to calibrate and validate the model. There is one structure for each of the five instruments deployed (I1, I2, I3, I3a and I3b) with measurements from acoustic Doppler current profilers (ADCPs) and conductivity-temperature (CTs) devices. For each instruments, data are split by calibration and testing periods. The variables therein are: X and Y: X and Y UTM 30S coordinates of the deployment location time: date of the data in julian days pressure: pressure data (m) vE and vN: East and North depth average velocities (m/s) sal: depth-average salinity (psu) temp: depth-average water temperature (ºC) Heat_model.mat: a file containing the variables needed for the heat model. The values correspond to the closest station to the Cádiz bay and were considered as representative of the condition therein. The variables are: Time: date in Julian days Cloudiness: daily-average cloudiness (%) Humidity: daily-average atmospheric relative humidity (%) Radiation: daily-average (short wave) solar radiation (W/m2) Temperature: daily-average air surface temperature (ºC) Flow_wave.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with online coupling of the Flow and Wave modules, including the harmonics of the astronomical tide in the .bca file Flow.zip: a zip file containing the necessary files to run the 13-month Delft3D simulation (October 2012 to November 2013) with only the Flow module activated. Some of the files are binary (.mat format) but can be easily read using open source tools (e.g., Python or Octave). The research leading to this dataset was founded by the Bay of Cadiz Port Authority and the Department of Innovation, Science and Business of the Andalusian Regional Government (Project P09-TEP-4630), the Spanish Ministry of Economy and Competitiveness through the Projects CTM2017-89531-R (PIRATES), CTM2017-82274-R (MICROBAHIA2) and by the <em>“Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo”</em>, CYTED (project PROTOCOL 917PTE0538). The authors would also thank to the staff of the Environmental Fluid Dynamics research group (GDFA, University of Granada) for their support during the field survey. The first author was partially funded by the Andalusian Regional Government, Research Grant RNM-6352.
DOI: 10.15468/hdk6a9
title: Middle Permian (Roadian) gastropods from the Khao Khad Formation, Central Thailand: Implications for palaeogeography of the Indochina Terrane

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ketwetsuriya, Chatchalerm, Karapunar, Baran, Charoentitirat, Thasinee, Nützel, Al- Exander (2020): Middle Permian (Roadian) gastropods from the Khao Khad Formation, Central Thailand: Implications for palaeogeography of the Indochina Terrane. Zootaxa 4766 (1): 1-47, DOI: 10.11646/zootaxa.4766.1.1
DOI: 10.15468/82x4w3
title: Revision, phylogeny and historical biogeography of the genus Apodrosus Marshall, 1922 (Coleoptera: Curculionidae: Entiminae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Girón, Jennifer C., Franz, Nico M. (2010): Revision, phylogeny and historical biogeography of the genus Apodrosus Marshall, 1922 (Coleoptera: Curculionidae: Entiminae). Insect Systematics & Evolution 41: 339-414, DOI: 10.1163/187631210X538799
DOI: 10.18112/openneuro.ds002724.v1.0.1
title: phBCMItraining
DOI: 10.18716/nmrshiftdb2/77301
title: NMR data for 6-chloro-1-methyl-N-[[1-(2-methylpropyl)piperidin-4-yl]methyl]benzimidazole-4-carboxamide
DOI: 10.21227/k2w9-n057
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.This is a placeholder so we can obtain a DOI to include in the paper.
DOI: 10.15468/7nu7rk
title: Extraordinary majoid crabs: the genus Esopus A. Milne-Edwards, 1875 in the new subfamily Esopinae subfam. nov., and erection of Paulitinae subfam. nov. (Crustacea, Decapoda, Brachyura, Majoidea, Inachoididae Dana, 1851)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Guinot, Danièle, Bakel, Barry Van (2020): Extraordinary majoid crabs: the genus Esopus A. Milne-Edwards, 1875 in the new subfamily Esopinae subfam. nov., and erection of Paulitinae subfam. nov. (Crustacea, Decapoda, Brachyura, Majoidea, Inachoididae Dana, 1851). Zootaxa 4766 (1): 101-127, DOI: 10.11646/zootaxa.4766.1.5
DOI: 10.15468/jvqp7e
title: First known occurrence of the alpheid shrimps Leptalpheus forceps Williams, 1965 and L. marginalis Anker, 2011 (Decapoda: Caridea) in the state of Pará, Amazon region, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rosário, Tayse N., Pires, Marcus A. B., Souza, Adelson S., Fernandes, Marcus E. B., Abrunhosa, Fernando A., Simith, Darlan J. B. (2020): First known occurrence of the alpheid shrimps Leptalpheus forceps Williams, 1965 and L. marginalis Anker, 2011 (Decapoda: Caridea) in the state of Pará, Amazon region, Brazil. Zootaxa 4766 (1): 61-85, DOI: 10.11646/zootaxa.4766.1.3
DOI: 10.21227/8wsq-d577
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.This is a placeholder so we can obtain a DOI to include in the paper.
DOI: 10.21227/9t12-pf70
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"The paper has been accepted and is in production.We will upload the dataset when the paper is published.This is a placeholder so we can obtain a DOI to include in the paper.
DOI: 10.15468/6d5xb6
title: Three new species of Acanthobothrium Blanchard, 1848 (Cestoda: Onchoproteocephalidea) in Stingrays (Dasyatidae) from the Pacific coast in Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zaragoza-Tapia, Francisco, Pulido-Flores, Griselda, Monks, Scott (2020): Three new species of Acanthobothrium Blanchard, 1848 (Cestoda: Onchoproteocephalidea) in Stingrays (Dasyatidae) from the Pacific coast in Mexico. Zootaxa 4766 (1): 139-172, DOI: 10.11646/zootaxa.4766.1.8
DOI: 10.21227/t4g5-wk13
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey.
DOI: 10.21227/y92s-py83
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey. Currently dataset contain 3,7 million (exactly 3,715,540) tweets with 12 different attribute of each tweets that were sent from 9th March 2020 until 23rd April 2020. The data file contains comma separated values (CSV). It contains the following information (12 Column) for each tweet in the data file: Created-At: Exact creation time of the tweet From-User: Sender Username From-User-Id: Sender User Id To-User: if it is sent to a user, its username To-User-Id: if it is sent to a user, its user ID Language: All Turkish Source: Source system (such as Android, iPhone, Web App) Text: Text of tweet Geo-Location-Latitude: Latitude of sender (it is setup as public) Geo-Location-Longitude: Longitude of sender (it is setup as public) Retweet-Count: number of retweets, the date of creation Id: ID of tweet that is unique for all tweets Search Twitter Operator of RapidMiner Software was used to collect tweets via the Twitter API. Due to the differentiation of keywords used in the time period and because of some technical constraints, the number of tweets collected daily for some days was less than normal until 30 March. After March 30, all Turkish tweets about covid-19 were collected continuously. The details of this subject are explained at the below. The data collection study started on March 17. In the Twitter API used, there is a 10,000-tweet upper limit and a last week time limit in each search to collect past tweets. Therefore, the oldest tweets that can be collected belong to March 11. Detecting the first cases in Turkey were also held on 11 March. So, tweets been collected since the first cases detected in Turkey. In order to collect data, RapidMiner Data mining software was used, and a maximum of 10,000 tweets were collected for each day, from 11 March until 17 March. In this way, after the past data of the last week were collected, the last sent 10,000 tweets were taken at intervals of twenty minutes (Twitter API can be used with 15 minutes interval, added 5 minutes more for precautionary). Thus, if more than 10,000 tweets were not posted within 20 minutes, it was possible to gather all the tweets. Of course, in less than 10,000 tweets were sent within 20 minutes, the same tweets were repeatedly drawn in different iterations. For this reason, duplicate records were deleted using the Tweet ID number. RapidMiner Turbo Prep application was used for this process. While Turkish tweets containing the word "Corona" were collected as of March 11, the ones containing the word "Covid" started to be collected after March 16. With the widespread use of the words "Kovid" and "Korona", since March 30, all Turkish Tweets containing at least one of 4 keywords were collected using the search phrase "Covid OR Kovid OR Korona OR Corona".
DOI: 10.3886/e119101
title: Updated reproduction package for - Quality and Accountability in Health Care Delivery - Huang

description: Updated reproduction package for Das et al. (2016) Quality and Accountability in Health Care Delivery: Audit-Study Evidence from Primary Care in India.
DOI: 10.3886/e119101v1
title: Updated reproduction package for - Quality and Accountability in Health Care Delivery - Huang

description: Updated reproduction package for Das et al. (2016) Quality and Accountability in Health Care Delivery: Audit-Study Evidence from Primary Care in India.
DOI: 10.5281/zenodo.3764586
title: Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion

description: Raw data of "Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion".
DOI: 10.18716/nmrshiftdb2/77298
title: NMR data for diethyl 1,4-dimethyl-2,3-dihydroquinoxaline-6,7-dicarboxylate
DOI: 10.15161/oar.it/23601
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.20393/3f218ddc-95e2-455f-8ece-8644c004b2ba
title: Marine Strategy Framework Directive (MSFD) Assessment of progress towards the achievement of Good Environmental Status for contaminants (Descriptor 8)

description: In 2013 Ireland competed an Initial Assessment of its maritime area. This assessment builds on that and is based on monitoring data collected under the Water Framework Directive (Dir 2000/60/EC) and OSPAR Coordinated Environmental Monitoring Programme. The objective of this updated assessment is to meet the requirements of MSFD Articles 8, 9 and 10 concerning qualitative descriptors for determining Good Environmental Status, in this case specifically Descriptor 8, that “Concentrations of contaminants are at levels not giving rise to pollution effects” (Directive 2008/56/EC). This updated assessment is based on these same programmes, for chemical contaminants the assessment period covered is 2012 to 2015, the dogwhelk imposex assessment is based on data spanning 1993 to 2018 and acute pollution events are based on data from 2014 to 2018. The assessment addressed the criteria established in Commission Decision 2017/848. Data coverage varies depending on the programme, some programmes are shorter and then others are more longer term. The start of data is from 1993 to 2018.
DOI: 10.6084/m9.figshare.12121380.v2
title: DATA_CODE_MODEL

description: This item includes data and code used and the full details of the model in the manuscript titled <i>A general phytoplankton-transport relationship in coastal aquatic systems </i>by Qubin Qin and Jian Shen.<br>Software needed: Most data were analyzed using MATLAB (version R2018b), and the volumes of the two study regions are calculated from bathymetric data using ArcGIS (version 10.7). <br><br>Data source: Monthly data of chlorophyll a concentration, salinity were collected at the main-channel long-term monitoring stations in Chesapeake Bay and its tributaries by the Chesapeake Bay Program (http://www.chesapeakebay.net/). Except for salinity, only surface data of other variables (0.5 m below the water surface) were used. The river discharge data at the fall-lines were collected by the United States Geological Survey (https://waterdata.usgs.gov/nwis/nwis). The volumes of the two study regions were determined based on USGS/NOAA bathymetric data and navigation charts.<br>Sampling information: chlorophyll a concentration and salinity were measured at fixed long-term monitoring stations during each cruise (one or two cruises for each month). For the upper-middle Chesapeake Bay, data from 1984-2015 were collected at 10 stations within the region. For the tidal freshwater James River Estuary, data of chlorophyll a concentration from 1990-2013 were collected at 6 stations. Such large data sets of multiple years also allow there are enough good and robust data for demonstration even data in a few years are not good due to uncertainties in data collection and calculation.
DOI: 10.18430/m36whp
title: X-ray diffraction data for the structure of Choline kinase from Cryptococcus neoformans var. grubii serotype A (6WHP)
DOI: 10.18716/nmrshiftdb2/77296
title: NMR data for ethyl 1,4-dimethyl-2,3-dihydroquinoxaline-6-carboxylate
DOI: 10.18716/nmrshiftdb2/88442
title: NMR data for InChI=1S/C11H10N2O3/c1-2-11(7-12)6-8-5-9(13(14)15)3-4-10(8)16-11/h3-5H,2,6H2,1H3
DOI: 10.21227/xfy4-h894
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey.
DOI: 10.18716/nmrshiftdb2/88443
title: NMR data for InChI=1S/C7H9NO2/c1-7(2)3-5(4-8)10-6(7)9/h5H,3H2,1-2H3
DOI: 10.18716/nmrshiftdb2/88448
title: NMR data for 1,1-dimethoxy-2,4,6-triphenyl-1$l^{5}-phosphacyclohexa-1,3,5-triene
DOI: 10.18716/nmrshiftdb2/88446
title: NMR data for 8-nitro-9H-pyrido[3,4-b]indole
DOI: 10.18716/nmrshiftdb2/88444
title: NMR data for 3-benzyl-5-methyltriazolo[4,5-d]pyrimidin-7-amine
DOI: 10.18716/nmrshiftdb2/77300
title: NMR data for 5-[bis(2-iodoethyl)amino]-2,4-dinitrobenzamide
DOI: 10.18716/nmrshiftdb2/88437
title: NMR data for 2,2-dimethyl-1,3-dihydro-2-benzosilole
DOI: 10.17632/bysdrcykbt.1
title: Banking LCR Reporting System Images

description: Liquidity Coverage Ratio (LCR) reporting system Images
DOI: 10.18112/openneuro.ds002725.v1.0.0
title: A dataset recording joint EEG-fMRI during affective music listening
DOI: 10.21227/r351-sz34
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine IntelligenceThe perils and pitfalls of block design for EEG classification experiments
DOI: 10.21227/x2gf-5324
title: Dataset: The perils and pitfalls of block design for EEG classification experiments

description: Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine IntelligenceThe perils and pitfalls of block design for EEG classification experiments
DOI: 10.14457/kku.res.1994.5
title: การส่งเสริมและพัฒนาอุตสาหกรรมหมู่บ้านในชนบทภาคตะวันออกเฉียงเหนือ
DOI: 10.14457/kku.res.1997.69
title: แผนการลดไฟฟ้าดับในภาคอีสาน
DOI: 10.17632/7zztbrphff.1
title: The Relationships Among Experiential Marketing, Customer Satisfaction and Consumer Behavioral Intention: The Study of Starbucks in China

description: Objective 1：Determine whether the experiential marketing dimensions applied at Starbucks in Shanghai have any effects on consumer satisfaction. Objective 2: Determine whether the experiential marketing dimensions applied at Starbucks in Shanghai have some direct or indirect effects on consumer behavioral intentions that indicate their post-purchase tendencies. Objective 3: Determine whether the consumer satisfaction has any effects on behavioral intentions of the consumers of Starbucks in Shanghai that indicate their post-purchase tendencies. H1: Sense experience has a positive and significant effect on customer satisfaction. H2: Feel experience has a positive and significant effect on customer satisfaction. H3: Think experience has a positive and significant effect on customer satisfaction. H4: Act experience has a positive and significant effect on customer satisfaction. H5: High level of customer satisfaction has a positive and significant effect on repurchase intention. H6: High level of customer satisfaction has a positive and significant effect on word of mouth intention. H7: High level of customer satisfaction has a positive and significant effect on willingness to pay more intention. H8: Low level of customer satisfaction has a negative and significant effect on complaint intention.
DOI: 10.18716/nmrshiftdb2/88439
title: NMR data for InChI=1S/C9H10O2/c10-6-8-5-7-3-1-2-4-9(7)11-8/h1-4,8,10H,5-6H2
DOI: 10.21227/rrhc-n551
title: BEHACOM

description: This dataset contains the behavioural data of 12 different users freely utilising their personal computers.The data collection period is composed of 55 days of user interaction, each user having their own activity periods.
DOI: 10.3886/e119102v1
title: Updated replication package for - "Familiarity Does Not Breed Contempt" - Zhu

description: Updated replication materials for "Familiarity Does Not Breed Contempt: Diversity, Discrimination and Generosity in Delhi Schools" by Gautam Rao