cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/a2104adc-e994-6789-e053-6c86abc0d557
title: Abundance of microbial phytoplankton through the water column during the AMT19 (JC039) cruise in October-December 2009.

description: This dataset contains depth profiles of the mean abundance of cyanobacteria and small (&lt;20 um) phytoplankton reported in cells per millilitre. Samples were measured using flow cytometry during the Atlantic Meridional Transect (AMT) cruise AMT19 (JC039). The samples were collected between October and December 2009 from 200 m to the surface, using a Seabird CTD system with a rosette of 24 Niskin bottles of 20 L volume. Samples were collected from the predawn and noon CTDs and were stored in a refrigerator and analysed within 3 hours of collection. In total 792 discrete samples were analysed and quantified using a Becton Dickinson FACSort flow cytometer which characterised and enumerated <em>Prochlorococcus</em> sp. and <em>Synechococcus</em> sp. (cyanobacteria) and pico- and eukaryotic phytoplankton, based on their light scattering and autofluorescence properties. Data were analysed onboard the ship during the cruise.
DOI: 10.5281/zenodo.3764193
title: A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria

description: This is the dataset, that can be used to reproduce the results from the following paper: "A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria". The Landsat Images are a series of pngs obtained from https://landbrowser.airc.aist.go.jp/hotarea/ representing agricultural fires.
description: {"references": ["Agriculture and Agri-Food Canada: Land Use 2010, [online] Available from: https://open.canada.ca/data/en/dataset/9e1efe92-e5a3-4f70-b313-68fb1283eadf (Accessed 9 March 2020), 2018.", "Didan, K., Munoz, A. B., Solano, R. and Huete, A.: MODIS Vegetation Index User's Guide (MOD13 Series) Version 3.00, Vegetation Index and Phenology Lab, The University of Arizona. [online] Available from: https://vip.arizona.edu/documents/MODIS/MODIS_VI_UsersGuide_June_2015_C6.pdf, 2015", "Forestry Canada: Development and structure of the Canadian Forest Fire Behavior Prediction System. [online] Available from: https://cfs.nrcan.gc.ca/publications?id=10068 (Accessed 28 October 2019), 1992.", "Giglio, L.: MODIS Collection 6 Active Fire Product User's Guide Revision A, Department of Geographical Sciences, University of Maryland. [online] Available from: https://lpdaac.usgs.gov/documents/88/MOD14_User_Guide_v6.pdf, 2015.", "Kato, S., Kouyama, T., Nakamura, R., Matsunaga, T. and Fukuhara, T.: Simultaneous retrieval of temperature and area according to sub-pixel hotspots from nighttime Landsat 8 OLI data, Remote Sens. Environ., 204, 276\u2013286, doi:10.1016/j.rse.2017.10.025, 2018.", "Hanes, C. C., Wang, X., Jain, P., Parisien, M.-A., Little, J. M. and Flannigan, M. D.: Fire-regime changes in Canada over the last half century, Can. J. For. Res., 49(3), 256\u2013269, doi:10.1139/cjfr-2018-0293, 2018."]}
DOI: 10.14457/tu.the.2007.729
title: การศึกษาประสิทธิผลของโครงการใบกำกับภาษีมีรางวัล
DOI: 10.14457/tu.the.2007.730
title: ผลตอบแทนและความเสี่ยงของกองทุนรวมหุ้นระยะยาว
DOI: 10.14457/tu.the.2007.731
title: พันธบัตรรัฐบาลและปัจจัยที่กำหนดอัตราผลตอบแทนของพันธบัตรประเภทกู้ยืมเงิน (LB)
DOI: 10.14457/tu.the.2008.724
title: การบำบัดฟลูออไรด์ในน้ำใต้ดินโดยวิธีการดูดซับ
DOI: 10.14457/tu.the.2009.868
title: ความพึงพอใจของพนักงานเจ้าหน้าที่คุ้มครองเด็กตามพระราชบัญญัติคุ้มครองเด็ก พ.ศ. 2546 ต่อการปฏิบัติงานในทีมสหวิชาชีพ
DOI: 10.6084/m9.figshare.3761562.v1461
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/cgz7-ra28
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: 10.5281/zenodo.3763559
title: Arget COMDID-A

description: Dataset of first year students in Catalonia (teacher students) for measuring teacher digital competence.
DOI: 10.15468/buhw4d
title: Three new species and additional records of Oedichirus (Coleoptera, Staphylinidae, Paederinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2019): Three new species and additional records of Oedichirus (Coleoptera, Staphylinidae, Paederinae). Linzer biologische Beiträge 51 (1): 33-42, DOI: http://doi.org/10.5281/zenodo.3763597
DOI: 10.5281/zenodo.3763558
title: Arget COMDID-A

description: Dataset of first year students in Catalonia (teacher students) for measuring teacher digital competence.
DOI: 10.5281/zenodo.3764204
title: Data required to determine a catalog of radiation belt enhancement events

description: These are the data that accompany a paper titled "Defining Radiation Belt Enhancement Events Based on Probability Distributions" by the same authors listed here. The paper will be submitted to the journal Space Weather. The data consist of text data files of radiation belt electron data. Each file includes a description of the contents on lines beginning with the character, #. The files are: LANL-GEO 1.8-3.5 MeV Data.txt which contains daily and satellite-averaged 1.8-3.5 MeV electron data from the LANL-GEO instruments. The data span 1989 through 2018. GOES 2 MeV Data.txt which contains daily values of maximum &gt;2 MeV electron fluxes from the NOAA goes satellites in the same format as the file LANL-GEO 1.8-3.5 MeV Data.txt LANL-GEO Event Distribution.txt and GOES Event Distribution.text which contain the number of radiation belt electron events that are identified using a variable threshold flux value to define the events. LANL-GEO Event-Day Distribution.txt and GOES Event-Day Distribution.text which contain the number of days when radiation belt electron fluxes exceed a given threshold flux value. Catalog of Events.pdf which is a catalog of moderate, strong, and intense radiation belt enhancement events for the 1989 through 2018. Moderate Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux &gt; 5.37 (cm2-s-sr-keV)<sup>-1</sup> Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux &gt; 17.8 (cm2-s-sr-keV)<sup>-1</sup> Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux ≳ 46.7 (cm2-s-sr-keV)<sup>-1</sup> These data files can be used reproduce our analysis or, more importantly, they can be used for additional studies of the causes and consequences of radiation belt enhancement events.
description: This work was supported in part by RBSP–Energetic Particle, Composition, and Thermal Plasma funding under NASA's Prime contract no. NAS5-01072 and by the US Department of Energy (DOE).
DOI: 10.5281/zenodo.3764205
title: Data required to determine a catalog of radiation belt enhancement events

description: These are the data that accompany a paper titled "Defining Radiation Belt Enhancement Events Based on Probability Distributions" by the same authors listed here. The paper will be submitted to the journal Space Weather. The data consist of text data files of radiation belt electron data. Each file includes a description of the contents on lines beginning with the character, #. The files are: LANL-GEO 1.8-3.5 MeV Data.txt which contains daily and satellite-averaged 1.8-3.5 MeV electron data from the LANL-GEO instruments. The data span 1989 through 2018. GOES 2 MeV Data.txt which contains daily values of maximum &gt;2 MeV electron fluxes from the NOAA goes satellites in the same format as the file LANL-GEO 1.8-3.5 MeV Data.txt LANL-GEO Event Distribution.txt and GOES Event Distribution.text which contain the number of radiation belt electron events that are identified using a variable threshold flux value to define the events. LANL-GEO Event-Day Distribution.txt and GOES Event-Day Distribution.text which contain the number of days when radiation belt electron fluxes exceed a given threshold flux value. Catalog of Events.pdf which is a catalog of moderate, strong, and intense radiation belt enhancement events for the 1989 through 2018. Moderate Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux &gt; 5.37 (cm2-s-sr-keV)<sup>-1</sup> Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux &gt; 17.8 (cm2-s-sr-keV)<sup>-1</sup> Strong Events are defined as those that occur on average 100 times per 11-year solar cycle, Flux ≳ 46.7 (cm2-s-sr-keV)<sup>-1</sup> These data files can be used reproduce our analysis or, more importantly, they can be used for additional studies of the causes and consequences of radiation belt enhancement events.
description: This work was supported in part by RBSP–Energetic Particle, Composition, and Thermal Plasma funding under NASA's Prime contract no. NAS5-01072 and by the US Department of Energy (DOE).
DOI: 10.6073/pasta/98d918f8836a1460343f640536f5a006
title: Effects of microarthropod exclusion and water amendments on fluffgrass growth at the Jornada Basin LTER, March to September 1986

description: This data package contains fluff grass ( Dasyochloa pulchella ) growth measurements taken during the growing period in 1986 (March, July, and September). The purpose of this study was to test how watering, and changing densities of soil microarthropods and nematodes, results in changes in fluff grass growth. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments: 1) Chlordane to exclude microarthropods, 2) Chlordane and water, 3) Water, and 4) Control. Within each plot, fluff grass plants were permanently tagged for continuous measurements of plant diameter and height during the three sampling dates. Data consists of the date of measurement, the longest diameter (cm), the diameter (cm) perpendicular to the longest diameter, and height (cm). This study was completed in September 1986.
DOI: 10.3886/e119081v2-23893
title: 2020_04 COVID-19 Study MSDQ - Schokkenbroek et al.

description: MSD-Q Dataset, April 2020
DOI: 10.5281/zenodo.3764288
title: FIMM

description: FIMM PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764289
DOI: 10.5281/zenodo.3764289
title: FIMM

description: FIMM PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764289
DOI: 10.5281/zenodo.3764290
title: UHNBreast

description: UHNBreast PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764291
DOI: 10.5281/zenodo.3764291
title: UHNBreast

description: UHNBreast PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764291
DOI: 10.5281/zenodo.3764292
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764293
DOI: 10.5281/zenodo.3764293
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764293
DOI: 10.5281/zenodo.3764294
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764295
DOI: 10.5281/zenodo.3764295
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3764295
DOI: 10.18112/openneuro.ds002726.v1.0.0
title: Structural brain network of gifted children
DOI: 10.25912/5ea220e335b7a
title: South East Queensland terrestrial ecological condition survey data
DOI: 10.18112/openneuro.ds002731.v1.0.0
title: DRM False Memory
DOI: 10.15468/gka4uh
title: Lasioglossum (Evylaeus) pressithorax EBMER, 1974, (Hymenoptera, Apidae), eine sehr seltene ostmediterran-asiatische Halictidae, neu Iür Ŏsterreich und Mitteleuropa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ebmer, Andreas W., Kratschmer, Sopie, Pachinger, Bärbel (2019): Lasioglossum (Evylaeus) pressithorax EBMER, 1974, (Hymenoptera, Apidae), eine sehr seltene ostmediterran-asiatische Halictidae, neu Iür Ŏsterreich und Mitteleuropa. Linzer biologische Beiträge 51 (1): 43-53, DOI: http://doi.org/10.5281/zenodo.3763612
DOI: 10.21227/cjc0-jp58
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-AtExact creation time of the tweetFrom-UserSender UsernameFrom-User-IdSender User IdTo-Userif it is sent to a user, its usernameTo-User-Idif it is sent to a user, its user IDLanguageAll TurkishSourceSource system (such as Android, iPhone, Web App)TextText of tweetGeo-Location-LatitudeLatitude of sender (it is setup as public)Geo-Location-LongitudeLongitude of sender (it is setup as public)Retweet-Countnumber of retweets, the date of creationIdID 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: 10.21227/x4ra-ht09
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-AtExact creation time of the tweetFrom-UserSender UsernameFrom-User-IdSender User IdTo-Userif it is sent to a user, its usernameTo-User-Idif it is sent to a user, its user IDLanguageAll TurkishSourceSource system (such as Android, iPhone, Web App)TextText of tweetGeo-Location-LatitudeLatitude of sender (it is setup as public)Geo-Location-LongitudeLongitude of sender (it is setup as public)Retweet-Countnumber of retweets, the date of creationIdID 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: 10.5519/qd.knt917oo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/3h45xr
title: A revision of Palaearctic and Oriental Rugilus. VI. Two new species Irom China, a new synonymy, and additional records (Coleoptera, Staphylinidae, Paederinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2019): A revision of Palaearctic and Oriental Rugilus. VI. Two new species Irom China, a new synonymy, and additional records (Coleoptera, Staphylinidae, Paederinae). Linzer biologische Beiträge 51 (1): 5-20, DOI: http://doi.org/10.5281/zenodo.3763624
DOI: 10.15468/9756d3
title: Integrative revision of the Caryocolum schleichi species group - a striking example of a temporally changing species concept (Lepidoptera, Gelechiidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huemer, Peter (2020): Integrative revision of the Caryocolum schleichi species group - a striking example of a temporally changing species concept (Lepidoptera, Gelechiidae). Alpine Entomology 4: 39-63, DOI: http://dx.doi.org/10.3897/alpento.4.50703, URL: http://dx.doi.org/10.3897/alpento.4.50703
DOI: 10.3886/e116294v1-23905
title: Replication data for: Individual Preferences for Giving

description: We utilize graphical representations of Dictator Games which generate rich individual- level data. Our baseline experiment employs budget sets over feasible payoff- pairs. We test these data for consistency with utility maximization, and we recover the underlying preferences for giving (trade-offs between own payoffs and the payoffs of others). Two further experiments augment the analysis. An extensive elaboration employs three-person budget sets to distinguish preferences for giving from social preferences (trade-offs between the payoffs of others). And an intensive elaboration employs step-shaped sets to distinguish between behaviors that are compatible with well-behaved preferences and those compatible only with not well-behaved cases. (JEL C72, D64)
DOI: 10.6073/pasta/b70f56aa0d9bb8d138f3c445c8205a8d
title: Effects of microarthropod exclusion and water amendments on fluffgrass growth at the Jornada Basin LTER, March to September 1986

description: This data package contains fluff grass ( Dasyochloa pulchella ) growth measurements taken during the growing period in 1986 (March, July, and September). The purpose of this study was to test how watering, and changing densities of soil microarthropods and nematodes, results in changes in fluff grass growth. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments: 1) Chlordane to exclude microarthropods, 2) Chlordane and water, 3) Water, and 4) Control. Within each plot, fluff grass plants were permanently tagged for continuous measurements of plant diameter and height during the three sampling dates. Data consists of the date of measurement, the longest diameter (cm), the diameter (cm) perpendicular to the longest diameter, and height (cm). This study was completed in September 1986.
DOI: 10.15468/44fwn9
title: Revision of the Metallactus hamifer species-group (Coleoptera: Chrysomelidae: Cryptocephalinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sassi, Davide (2019): Revision of the Metallactus hamifer species-group (Coleoptera: Chrysomelidae: Cryptocephalinae). Zootaxa 4657 (2): 201-245, DOI: https://doi.org/10.11646/zootaxa.4657.2.1
DOI: 10.15468/tb5s96
title: Neue Arten der Gattung Atomaria STEPHENS, 1830 aus der Türkei und dem Irak (Coleoptera, Cryptophagidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Esser, Jens (2019): Neue Arten der Gattung Atomaria STEPHENS, 1830 aus der Türkei und dem Irak (Coleoptera, Cryptophagidae). Linzer biologische Beiträge 51 (1): 55-62, DOI: http://doi.org/10.5281/zenodo.3763644
DOI: 10.18112/openneuro.ds002727.v1.0.0
title: EMOTIVE IDIOMS
DOI: 10.15468/attvbz
title: A new species of the genus Methocha LATREILLE (Hymenoptera, Tiphiidae, Methochinae) Irom India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hanima, Raveendran K. P., Kumar, Puthuvayi Girish, Sureshan, Pavittu M. (2019): A new species of the genus Methocha LATREILLE (Hymenoptera, Tiphiidae, Methochinae) Irom India. Linzer biologische Beiträge 51 (1): 63-67, DOI: http://doi.org/10.5281/zenodo.3763664
DOI: 10.5281/zenodo.3763668
title: SN4741 Promoter Capture HiC - HiCUP/CHiCAGO Analysis

description: Promoter capture HiC data generated from SN4741 cells. The HiCUP/CHiCAGO analysis was run five total times, and the most (liberal) and least (conservative) number of interactions was identified. Data is provided in the washU_text format which consolidates peaks and maintains only the higher rated score. See CHiCAGO Vignette for more information.
DOI: 10.18112/openneuro.ds002724.v1.0.0
title: phBCMItraining