cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/8dh6-tj24
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.3766282
title: Dataset Experimental Characterisation in asynchronous partially contacting motion

description: This dataset is raw data from the experimental testing conducted at Swansea University for the research entitled 'Experimental characterisation of asynchronous partially contacting motion in a multiple-degree-of-freedom rotor system'.
DOI: 10.5281/zenodo.3766283
title: Dataset Experimental Characterisation in asynchronous partially contacting motion

description: This dataset is raw data from the experimental testing conducted at Swansea University for the research entitled 'Experimental characterisation of asynchronous partially contacting motion in a multiple-degree-of-freedom rotor system'.
DOI: 10.5281/zenodo.3766792
title: SM2RAIN test dataset with ASCAT and SMAP satellite soil moisture (plus ERA5 evapotranspiration)

description: Are you looking for a research contest? Here [SM_RAIN_EVAP_1009points.nc] you can find a 5-year dataset at 1009 points in Italy, the United States, India and Australia of co-located in space and time: satellite soil moisture (from ASCAT, Wagner et al., 2013, doi:10.1127/0941-2948/2013/0399) evapotranspiration (from ERA5 reanalysis by ECMWF: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) ground-based rainfall. and a ~3-year dataset at the same points including soil moisture from SMAP (April-2015 --&gt; December 2017) [SM_SMAP_ASCAT_ETERA5_Pobs_1009opints.nc] The dataset can be used for testing multiple approaches for rainfall estimation from soil moisture, as done in #SM2RAIN algorithm (http://hydrology.irpi.cnr.it/research/sm2rain/). The global dataset we have developed is available here: https://zenodo.org/record/3635932 The NetCDF file contains all the data, and the figures (PNG files) represent an example of the results we have obtained in the paper and of the new dataset including SMAP. <strong>Reference</strong><br> Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. <em>Earth System Science Data</em>, 11, 1583–1601, doi:10.5194/essd-11-1583-2019. https://doi.org/10.5194/essd-11-1583-2019. For clarifications and support contact me at luca.brocca@irpi.cnr.it
description: {"references": ["Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Sch\u00fcller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture.\u00a0Earth System Science Data, 11, 1583\u20131601, doi:10.5194/essd-11-1583-2019.\u00a0https://doi.org/10.5194/essd-11-1583-2019."]}
DOI: 10.5281/zenodo.3766988
title: IO Islamic 2100. Letters of Tîpû Sulṭân

description: IO Islamic 2100. Letters of Tîpû Sulṭân
DOI: 10.5281/zenodo.3766989
title: IO Islamic 2100. Letters of Tîpû Sulṭân

description: IO Islamic 2100. Letters of Tîpû Sulṭân
DOI: 10.5281/zenodo.3766992
title: IO Islamic 2102. Copies of Orders by Tîpû Sulṭân.

description: IO Islamic 2102. Copies of Orders by Tîpû Sulṭân.
DOI: 10.5281/zenodo.3766993
title: IO Islamic 2102. Copies of Orders by Tîpû Sulṭân.

description: IO Islamic 2102. Copies of Orders by Tîpû Sulṭân.
DOI: 10.5281/zenodo.3766997
title: IO Islamic 1543. Historical Miscellanies of Niżâms of Ḥaidarâbâd, The rulers of Bijâpûr, Ḥaidar 'Alî of Mysore, and the Marattah and Afghân invasions of India

description: IO Islamic 1543. Historical Miscellanies of Niżâms of Ḥaidarâbâd, The rulers of Bijâpûr, Ḥaidar ‘Alî of Mysore, and the Marattah and Afghân invasions of India
DOI: 10.15468/asr98j
title: Review of the Helochares (Hydrobaticus) MacLeay of the New World (Coleoptera: Hydrophilidae: Acidocerinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Short, Andrew Edward Z., Girón, Jennifer C. (2018): Review of the Helochares (Hydrobaticus) MacLeay of the New World (Coleoptera: Hydrophilidae: Acidocerinae). Zootaxa 4407 (1): 29-50, DOI: https://doi.org/10.11646/zootaxa.4407.1.2
DOI: 10.15468/jugtwe
title: A survey of the weevils of Ukraine (Coleoptera: Curculionoidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yunakov, Nikolai, Nazarenko, Vitalij, Filimonov, Rostislav, Volovnik, Semyon (2018): A survey of the weevils of Ukraine (Coleoptera: Curculionoidea). Zootaxa 4404 (1): 1-494, DOI: https://doi.org/10.11646/zootaxa.4404.1.1
DOI: 10.25345/c5p42v
title: MassIVE MSV000085336 - GNPS-schisandra incarnata stem extract isolated compouds
title: Fractions and isolated compouds from schisandra incarnata
DOI: 10.5281/zenodo.3762815
title: Data from: International authorship and collaboration in bioRxiv preprints

description: Data and supplementary tables for "International authorship and collaboration in bioRxiv preprints," a preprint posted to bioRxiv on April 25, 2020. "reproduce.md" includes all R code used to generate figures and perform analyses described in the paper. "biorxiv_countries.postgres.backup" is a database snapshot that can be loaded into a PostgreSQL database to access all data collected and used in the study. "manual_edits.sql" describes all corrections made to the automated inference of the country-level affiliations inferred for all authors.
DOI: 10.15468/dhtxce
title: An illustrated key to powder post beetles (Coleoptera, Bostrichidae) associated with rubberwood in Thailand, with new records and a checklist of species found in Southern Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sittichaya, Wisut, Beaver, Roger, Liu, Lan-Yu, Ngampongsai, Aran (2009): An illustrated key to powder post beetles (Coleoptera, Bostrichidae) associated with rubberwood in Thailand, with new records and a checklist of species found in Southern Thailand. ZooKeys 26 (26): 33-51, DOI: 10.3897/zookeys.26.88
DOI: 10.21227/1bke-y925
title: Decision Tree of Coronavirus Disease (COVID-19) Surveillance

description: As part of preparedness efforts in dealing with this, it is important for Indonesia to prepare guidelines for preparedness in dealing with COVID-19.
DOI: 10.21227/ykee-sg50
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: 10.5281/zenodo.3766629
title: Data from: International authorship and collaboration in bioRxiv preprints

description: Data and supplementary tables for "International authorship and collaboration in bioRxiv preprints," a preprint posted to bioRxiv on April 25, 2020. "reproduce.md" includes all R code used to generate figures and perform analyses described in the paper. "biorxiv_countries.postgres.backup" is a database snapshot that can be loaded into a PostgreSQL database to access all data collected and used in the study. "manual_edits.sql" describes all corrections made to the automated inference of the country-level affiliations inferred for all authors. <strong>Version history:</strong> <strong>0.1.1: </strong>Database snapshot added. <strong>0.1.0: </strong>First version with supplementary tables added.
DOI: 10.5281/zenodo.3766996
title: IO Islamic 1543. Historical Miscellanies of Niżâms of Ḥaidarâbâd, The rulers of Bijâpûr, Ḥaidar 'Alî of Mysore, and the Marattah and Afghân invasions of India

description: IO Islamic 1543. Historical Miscellanies of Niżâms of Ḥaidarâbâd, The rulers of Bijâpûr, Ḥaidar ‘Alî of Mysore, and the Marattah and Afghân invasions of India
DOI: 10.15468/ms5q4a
title: Revision of the genus Chiasognathus Stephens of southern South America with the description of a new species (Coleoptera, Lucanidae, Lucaninae, Chiasognathini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Paulsen, M. J., Smith, Andrew (2010): Revision of the genus Chiasognathus Stephens of southern South America with the description of a new species (Coleoptera, Lucanidae, Lucaninae, Chiasognathini). ZooKeys 43 (43): 33-63, DOI: 10.3897/zookeys.43.397
DOI: 10.17632/3pm7yy4xj9.2
title: Protein regulatory relationships in COVID19

description: This dataset was extracted from the Elsevier Pathway Studio, a tool that helps scientists analyze experimental data to answer biologically meaningful questions. The dataset itself consists of biological relationships between diseases (MERS and SARS), proteins and molecules. The relationships are of various types including Regulation, Target, Molecular Transport, etc. You can find a mapping of the relationship name to a description on this support page: https://service.elsevier.com/app/answers/detail/a_id/3014/supporthub/pathway/ The source of these relationships are life sciences and biomedical articles, from various publishers. We make use of taxonomies, curated and maintained by subject matter experts, to extract the right terms from text and map them to the correct identifiers. Subject matter experts have also helped us create the rules and information extraction patterns to optimize the extraction of relationships from text. At last, the pubmed identifiers from which the relationships were extracted are also part of the dataset. The .cypher and .json files can be imported into the graph database neo4j. The .csv files can be used to import into other systems.
DOI: 10.5519/qd.gcfkreg6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (57 records)
DOI: 10.15468/7tex49
title: Review of the Catocala delilah species complex (Lepidoptera, Erebidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hawks, David (2010): Review of the Catocala delilah species complex (Lepidoptera, Erebidae). ZooKeys 39 (39): 13-35, DOI: 10.3897/zookeys.39.439
DOI: 10.21227/5dmd-ke09
title: Sensor readings for ambient control in academic facilities

description: Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms.
DOI: 10.21227/q7jr-n610
title: Sensor readings for ambient control in academic facilities

description: Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms.
DOI: 10.5281/zenodo.3766349
title: Handwriting query data

description: The upload contains 1) the results of a query with 26 respondents who assessed the consistency of 20 Early Medieval handwriting specimens and 2) the questionnaire which was used in the query. The questionnaire is translated into English, but it was originally in Finnish. The upload is related to an upcoming journal article.
DOI: 10.5281/zenodo.3766348
title: Handwriting query data

description: The upload contains 1) the results of a query with 26 respondents who assessed the consistency of 20 Early Medieval handwriting specimens and 2) the questionnaire which was used in the query. The questionnaire is translated into English, but it was originally in Finnish. The upload is related to an upcoming journal article.
DOI: 10.5281/zenodo.3767024
title: IO Islamic 2548. Historical Miscellanies by Various Hands

description: IO Islamic 2548. Historical Miscellanies by Various Hands
DOI: 10.5281/zenodo.3767025
title: IO Islamic 2548. Historical Miscellanies by Various Hands

description: IO Islamic 2548. Historical Miscellanies by Various Hands
DOI: 10.15468/2dfz2p
title: The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary

description: This dataset contains the digitized treatments in Plazi based on the original journal article Szinetár, Csaba, Eichardt, János, Szuts, Tamas (2009): The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary. ZooKeys 16: 197-208, DOI: 10.3897/zookeys.16.234
DOI: 10.5281/zenodo.3767031
title: IO Islamic 2598. A Short Historical Account of Seringapatan

description: IO Islamic 2598. A Short Historical Account of Seringapatan
DOI: 10.5281/zenodo.3767032
title: IO Islamic 2598. A Short Historical Account of Seringapatan

description: IO Islamic 2598. A Short Historical Account of Seringapatan
DOI: 10.5281/zenodo.3767033
title: IO Islamic 3057. A Short Historical Account of Seringapatan

description: IO Islamic 3057. A Short Historical Account of Seringapatan
DOI: 10.5281/zenodo.3767034
title: IO Islamic 3057. A Short Historical Account of Seringapatan

description: IO Islamic 3057. A Short Historical Account of Seringapatan
DOI: 10.15468/mdbtxc
title: Revision of Agathodesmus Silvestri, 1910 (Diplopoda, Polydesmida, Haplodesmidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mesibov, Robert (2009): Revision of Agathodesmus Silvestri, 1910 (Diplopoda, Polydesmida, Haplodesmidae). ZooKeys 12: 87-110, DOI: 10.3897/zookeys.12.206
DOI: 10.15468/tgnh6t
title: First record of the family Pseudocerotidae (Platyhelminthes, Polycladida, Cotylea) from the Persian Gulf, Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Khalili, Zahra, Rahimian, Hassan, Pazooki, Jamile (2009): First record of the family Pseudocerotidae (Platyhelminthes, Polycladida, Cotylea) from the Persian Gulf, Iran. ZooKeys 31 (3): 39-51, DOI: 10.3897/zookeys.31.136
DOI: 10.5281/zenodo.3767039
title: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg

description: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg
DOI: 10.5281/zenodo.3767040
title: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg

description: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg
DOI: 10.21227/7emq-3k98
title: RECOVERY-FA19: Ultra-Widefield Fluorescein Angiography Vessel Detection Dataset

description: RECOVERY-FA19 dataset is established for development and evaluation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides 8 high-resolution ultra-widefield FA images acquired using Optos California P200DTx camera and corresponding labeled binary vessel maps.
DOI: 10.5281/zenodo.3767026
title: IO Islamic 2682. A Short Historical Account of Seringapatan

description: IO Islamic 2682. A Short Historical Account of Seringapatan
DOI: 10.5281/zenodo.3767027
title: IO Islamic 2682. A Short Historical Account of Seringapatan

description: IO Islamic 2682. A Short Historical Account of Seringapatan
DOI: 10.5281/zenodo.3767041
title: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg

description: IO Islamic 2848. A Comprehensive History of the Râjahs of Kurg
DOI: 10.15468/q2rs8c
title: The genus Chaerilus Simon, 1877 (Scorpiones, Chaerilidae) in the Himalayas and description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lourenco, Wilson, Duhem, Bernard (2010): The genus Chaerilus Simon, 1877 (Scorpiones, Chaerilidae) in the Himalayas and description of a new species. ZooKeys 37 (37): 13-25, DOI: 10.3897/zookeys.37.369
DOI: 10.5281/zenodo.3766850
title: Seed and fruit set in Lilium pomponium

description: Seed set in supplementally hand pollinated flowers and open pollinated flowers, and fruit set in self pollinated flowers
DOI: 10.5281/zenodo.3766851
title: Seed and fruit set in Lilium pomponium

description: Seed set in supplementally hand pollinated flowers and open pollinated flowers, and fruit set in self pollinated flowers
DOI: 10.5281/zenodo.3767036
title: IO Islamic 1978 (2). Aḥwâl-i-Mulk-i-Kurg, A Short History of the Conquest of the Realm of Kurg

description: IO Islamic 1978 (2). Aḥwâl-i-Mulk-i-Kurg, A Short History of the Conquest of the Realm of Kurg
DOI: 10.5281/zenodo.3766472
title: iCAM5 and SPEEDY-IER simulation of RCP8.5

description: This dataset includes code and data used in the paper "The role of isotope-enabled GCM complexity in simulating tropical circulation changes in high-CO2 scenarios" submitted to the Journal of Geophysical Research: Atmospheres. 1. Code for analysis and plotting: all files in the ipynb (Jupyter Notebook) format 2. Boundary (Sea surface temperature and sea ice) data for simulations in 1974-1999 and 2074-2099: filenames starting with "sst". 3. iCAM5 simulations: all files in the npy (numpy array) format 4. SPEEDY-IER (original version) simulations: SPEEDY-IER_1974.nc and SPEEDY-IER_2074.nc 5. SPEEDY-IER (modified version) simulations: modified_1974.nc and modified_2074.nc
DOI: 10.5281/zenodo.3766473
title: iCAM5 and SPEEDY-IER simulation of RCP8.5

description: This dataset includes code and data used in the paper "The role of isotope-enabled GCM complexity in simulating tropical circulation changes in high-CO2 scenarios" submitted to the Journal of Geophysical Research: Atmospheres. 1. Code for analysis and plotting: all files in the ipynb (Jupyter Notebook) format 2. Boundary (Sea surface temperature and sea ice) data for simulations in 1974-1999 and 2074-2099: filenames starting with "sst". 3. iCAM5 simulations: all files in the npy (numpy array) format 4. SPEEDY-IER (original version) simulations: SPEEDY-IER_1974.nc and SPEEDY-IER_2074.nc 5. SPEEDY-IER (modified version) simulations: modified_1974.nc and modified_2074.nc
DOI: 10.5281/zenodo.3767035
title: IO Islamic 1978 (2). Aḥwâl-i-Mulk-i-Kurg, A Short History of the Conquest of the Realm of Kurg

description: IO Islamic 1978 (2). Aḥwâl-i-Mulk-i-Kurg, A Short History of the Conquest of the Realm of Kurg
DOI: 10.14457/mu.the.2016.306
title: Factors related to statisfaction of patients receiving CT scan
DOI: 10.14457/mu.the.2016.307
title: Neoliberalization of canadian offical development assistance and its impact on human rights
DOI: 10.14457/mu.the.2016.308
title: Factors related to functional recovery in patients after total hysterectomy
DOI: 10.14457/mu.the.2016.309
title: Pharmacy student leadership and factors affecting leadership development: a case study of pharmacy schools in the central region of Thailand
DOI: 10.14457/mu.the.2017.87
title: Willingness to communicate in English among undergraduate students in Bangkok
DOI: 10.14457/mu.the.2017.88
title: Development of research and thesis management system: case study of information technology management program
DOI: 10.21227/8sr7-d550
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation is extracted from the tweets which mention anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". The longitude and latitude shared in this dataset are the exact ones. That means the user has shared his/her precise location while tweeting. The data is available in four formats: CSV, JSON, SQL and XML. I am sharing this data after receiving an enormous amount of requests from non-technical researchers. If you are someone who is quite comfortable with python and databases, then use "COVID-19 Tweets Dataset" and hydrate the IDs, and add the following condition within your streaming file.if data["coordinates"]:longitude, latitude = data["coordinates"]["coordinates"]