cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3626183
title: Drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017.

description: This is the data set of the track for the drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017. This data is reported in the manuscript: Solana G.; Grifoll, M.; and Espino, M; 2020. Hydrographic variability and estuarine classification of Inhambane Bay (Mozambique) In: Malvárez, G. and Navas, F. (eds.), Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95, pp. 50-54. Coconut Creek (Florida), ISSN 0749-0208. DOI: 10.2112/SI95-126.1 The instrument used was a Arduino + GPS Fona Shield METADATA File is in csv format. Time is given in UTM+2 format. Period:'2017-07-21 09:43:00 - '2017-07-21 14:30:00 Data headers: Valid,Time,Latitude,Longitude,Altitude,Speed (Km/h),Address,Attributes 1,2017-07-21 09:43:28,-23.792458,35.386703,0 m,0.6 ,Unnamed Road. Inhambane. MZ,battery=87 hdop=355.7 ip=197.218.83.149 distance=1.76 totalDistance=1.0659886039E8
description: The field campaign was funded by the Catalan Agency for Development Cooperation (ACCD) and the UPC-CCD. The authors are grateful to ECOSISTEMA-BC (CTM2017-84275-R) project. The authors are grateful to the Direção Provincial de Saúde (DPS), Administração Maritima (ADMAR) of Inhambane and ASFES for their administrative and logistical support, to Joan Puigdefàbregas, and INNOVA for all the help on the field campaigns and with the equipment development.
DOI: 10.5519/qd.bgl8h7oz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (130 records)
DOI: 10.5281/zenodo.3626182
title: Drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017.

description: This is the data set of the track for the drifter deployed on Inhambane Bay (Mozambique) in July 21, 2017. This data is reported in the manuscript: Solana G.; Grifoll, M.; and Espino, M; 2020. Hydrographic variability and estuarine classification of Inhambane Bay (Mozambique) In: Malvárez, G. and Navas, F. (eds.), Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95, pp. 50-54. Coconut Creek (Florida), ISSN 0749-0208. DOI: 10.2112/SI95-126.1 The instrument used was a Arduino + GPS Fona Shield METADATA File is in csv format. Time is given in UTM+2 format. Period:'2017-07-21 09:43:00 - '2017-07-21 14:30:00 Data headers: Valid,Time,Latitude,Longitude,Altitude,Speed (Km/h),Address,Attributes 1,2017-07-21 09:43:28,-23.792458,35.386703,0 m,0.6 ,Unnamed Road. Inhambane. MZ,battery=87 hdop=355.7 ip=197.218.83.149 distance=1.76 totalDistance=1.0659886039E8
description: The field campaign was funded by the Catalan Agency for Development Cooperation (ACCD) and the UPC-CCD. The authors are grateful to ECOSISTEMA-BC (CTM2017-84275-R) project. The authors are grateful to the Direção Provincial de Saúde (DPS), Administração Maritima (ADMAR) of Inhambane and ASFES for their administrative and logistical support, to Joan Puigdefàbregas, and INNOVA for all the help on the field campaigns and with the equipment development.
DOI: 10.5281/zenodo.3780384
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (D59Y) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (D59Y). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.5281/zenodo.3780385
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (D59Y) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (D59Y). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.5281/zenodo.3782749
title: IO Islamic 2566. Ta'rîkh-i-Shâh 'Abbâs-i-thânî, A History of Shâh 'Abbâs II

description: IO Islamic 2566. Ta’rîkh-i-Shâh ‘Abbâs-i-thânî, A History of Shâh ‘Abbâs II
DOI: 10.5281/zenodo.3782750
title: IO Islamic 2566. Ta'rîkh-i-Shâh 'Abbâs-i-thânî, A History of Shâh 'Abbâs II

description: IO Islamic 2566. Ta’rîkh-i-Shâh ‘Abbâs-i-thânî, A History of Shâh ‘Abbâs II
DOI: 10.5281/zenodo.3782753
title: IO Islamic 017. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 017. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782754
title: IO Islamic 017. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 017. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782755
title: IO Islamic 157. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 157. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782756
title: IO Islamic 157. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 157. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782759
title: IO Islamic 372. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 372. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782760
title: IO Islamic 372. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 372. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782761
title: IO Islamic 3156. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 3156. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782762
title: IO Islamic 3156. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 3156. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.21227/xsev-mn41
title: Non-Coherent Data-Aided Iterative Reference Enhancement Technique Excluding the Symbol Under Demodulation

description: Including the symbol under demodulation in data-aided reference/pilot recovery process, dominates the contribution of all the received sybmols. Therefore, excluding the contribution of the symbol under detection allows other symbols to equally contributeto the reference estimation.
DOI: 10.5281/zenodo.3782744
title: Identification of candidate SNPs in the encoding region of two sugarcane cultivars as to resistance to water stress

description: Identification of candidate SNPs in the encoding region of two sugarcane cultivars as to resistance to water stress
DOI: 10.5281/zenodo.3782745
title: Identification of candidate SNPs in the encoding region of two sugarcane cultivars as to resistance to water stress

description: Identification of candidate SNPs in the encoding region of two sugarcane cultivars as to resistance to water stress
DOI: 10.5281/zenodo.3782765
title: IO Islamic 144. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 144. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782766
title: IO Islamic 144. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 144. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782769
title: IO Islamic 2651. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 2651. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782770
title: IO Islamic 2651. Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 2651. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3780388
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (F39L) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (F39L). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.5281/zenodo.3780389
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (F39L) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (F39L). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.5281/zenodo.3782656
title: FCCdb: Food Contact Chemicals database. Version 3.0

description: The Food Contact Chemicals database (FCCdb) is a compilation of information on intentionally added food contact chemicals, extracted from publicly available sources such as legislation on food contact materials and industry inventories for different types of food contact materials. Where available, information from a few selected sources on hazardous properties and commercial use has been included. Further details on the information sources used are given in the READ ME worksheet of the excel file.
DOI: 10.5281/zenodo.3782774
title: IO Islamic 3261.Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 3261. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3782775
title: IO Islamic 3261.Ta'rîkh-i-Jahânkushâi, The History of Nâdirshâh

description: IO Islamic 3261. Ta’rîkh-i-Jahânkushâi, The History of Nâdirshâh
DOI: 10.5281/zenodo.3780003
title: ASA³P Software & Database volume

description: ASA³P is an automatic and highly scalable assembly, annotation and higher-level analyses pipeline for closely related bacterial isolates. https://github.com/oschwengers/asap ASA³P is a fully automatic, locally executable and scalable assembly, annotation and higher-level analysis pipeline creating results in standard bioinformatics file formats as well as sophisticated HTML5 documents. Its main purpose is the automatic processing of NGS WGS data of multiple closely related isolates, thus transforming raw reads into assembled and annotated genomes and finally gathering as much information on every single bacterial genome as possible. Per-isolate analyses are complemented by comparative insights. Therefore, the pipeline incorporates many best-in-class open source bioinformatics tools and thus minimizes the burden of ever-repeating tasks. Envisaged as a preprocessing tool it provides comprehensive insights as well as a general overview and comparison of analysed genomes along with all necessary result files for subsequent deeper analyses. All results are presented via modern HTML5 documents comprising interactive visualizations. Schwengers et al, 2020 PLOS Comp Bio DOI:10.1371/journal.pcbi.1007134
description: {"references": ["Schwengers et al. (2019). ASA\u00b3P: An automatic and scalable pipeline for the assembly, annotation and higher level analysis of closely related bacterial isolates. bioRxiv 654319; doi: https://doi.org/10.1101/654319"]}
DOI: 10.5281/zenodo.3780401
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (F55L) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (F55L). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.5281/zenodo.3780402
title: Molecular dynamics simulation data of regulatory ACT domain dimer mutation (F55L) of human phenylalanine hydroxylase (PAH)

description: Raw data of molecular dynamics simulations of regulatory ACT domain dimer mutation (F55L). <strong>binding.zip</strong>: simulation of dimer with 19 Phe ligand <strong>bound.zip</strong>: simulation of dimer with bound Phe ligand <strong>dimer.zip</strong>: simulation of dimer only Simulation setup files are also included in each folder.
DOI: 10.21227/fxkr-gg70
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 data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests from academic researchers who did not want to hydrate the whole lists of IDs (above 50 million tweets) shared in the Corona Virus (COVID-19) Tweets dataset.If you need the geolocation-based data starting March 20, 2020, then use the Corona Virus (COVID-19) Tweets dataset and hydrate the IDs while adding the following condition:if data["coordinates"] is true; use longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.If you're looking for Corona Virus (COVID-19) Tweets Dataset: http://dx.doi.org/10.21227/781w-ef42
DOI: 10.21227/7yn1-wj61
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 data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 50 million tweets) shared in the Corona Virus (COVID-19) Tweets dataset.If you need the geolocation-based data starting March 20, 2020, then use the Corona Virus (COVID-19) Tweets dataset and hydrate the IDs while adding the following condition:if data["coordinates"] is true; use longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.5281/zenodo.3782480
title: Number of cases of coronavirus disease (COVID-19) in Ireland

description: Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, hospitalisations, ICU admissions, deaths, number of healthcare workers, number of clusters, gender of cases, age groups of cases, mode of transmission, age groups of those hospitalised, and cases per county. To aid standardisation of age groups and cases per county, the population estimates by age group for 2019 and the actual county population in the 2016 Census from Ireland's Central Statistics Office are also included as separate datasets, to allow expression of cases per million population. These are <em>YYYY-DD-Mon_covid_ie_cases_analysis.csv</em>, where data from Ireland's Health Protection Surveillance Centre is included up to midnight on the date YYYY-DD-Mon. <em>age_population_cso_2019.csv</em> <em>counties_population_cso_2016.csv</em> Older datasets are also included as follows. For the files <em>YYYYMMDD_covid_ie_age_groups.csv</em>, variable descriptions are as follows: age_group: Age groups, in years cases: Total cases of COVID-19 diagnosed in Ireland by age group, as per the Department of Health pop_estimate: National population estimates by age group for 2019 in Ireland, as per the Central Statistics Office (Table 7 https://www.cso.ie/en/releasesandpublications/er/pme/populationandmigrationestimatesapril2019/), expressed in thousands. cases_per_million: Cases of COVID-19 diagnosed in Ireland by age group, expressed per 1 million individuals For the files <em>YYYYMMDD_covid_ie_daily_cases</em>, variable descriptions are as follows: date: Date, in DD-MM-YYYY format daily_cases: New cases of COVID-19 diagnosed per day in Ireland, as per the Department of Health (https://www.gov.ie/en/news/7e0924-latest-updates-on-covid-19-coronavirus/) cumulative_cases: Cumulative number of COVID-19 cases in Ireland percent_daily_increase: New cases of COVID-19 diagnosed per day in Ireland as a percentage of cumulative number of cases up to that date.
DOI: 10.5281/zenodo.3783083
title: The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.

description: The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.
description: {"references": ["Long Read based Human Genomic Structural Variation Detection with cuteSV. Tao Jiang, et al. bioRxiv 780700; doi: https://doi.org/10.1101/780700"]}
DOI: 10.3886/e119126v1
title: Proceeding of The International Research Education & Training Centre

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES<br> SOCIAL, PEDAGOGY SCIENCES & HUMANITIES<br> MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES<br> TECHNICAL AND APPLIED SCIENCES<br> REGIONAL DEVELOPMENT AND INFRASTRUCTURE<br> ECONOMIC, MANAGEMENT & MARKETING SCIENCES<br> LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.3886/e119127v1
title: ENECO-Proceeding of Energy Economic Research Center

description: Scientific journal
DOI: 10.3886/e119128v1
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: Scientific journal
DOI: 10.15161/oar.it/23629
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: 10.5281/zenodo.3783444
title: Myanmar Fire Susceptibility Map

description: <strong>Overview:</strong> This dataset (shapefile) indicates fire susceptibility across Myanmar based on Figure 4 from Biswas et al. <sup>[1]</sup>. The raw data for this figure was not available on request, so has been digitized for use in a research project. For reproducibility, the dataset is uploaded here. An overview image (png) of the digitized dataset can be viewed<strong> </strong>here<strong> </strong>without download. Given the relatively low-resolution image of Figure 4 held by <em>PLOS ONE </em>and text labels covering data in some areas, a number of assumptions and approximations were required to populate the complete dataset. This involves a combination of automated and manual digitizing. Fire susceptibility is grouped into four classes: 1 (lowest), 2, 3, and 4 (highest). Biswas et al. <sup>[1]</sup> provide further descriptions of how the dataset was originally created and the assumptions behind defining these categories. <strong>Details:</strong> Shapefile (.shp) WGS 84 (EPSG:4326) 6502 polygons, resolution of ~0.01° attribute <em>fire_sus</em> indicates the fire susceptibility metric from 1-4 <strong>References:</strong> <sup>[1] </sup>Biswas, S., Vadrevu, K. P., Lwin, Z. M., Lasko, K., & Justice, C. O. (2015). Factors controlling vegetation fires in protected and non-protected areas of Myanmar. <em>PLOS ONE</em>, <em>10</em>(4). DOI: 10.1371/journal.pone.0124346
DOI: 10.5281/zenodo.3783445
title: Myanmar Fire Susceptibility Map

description: <strong>Overview:</strong> This dataset (shapefile) indicates fire susceptibility across Myanmar based on Figure 4 from Biswas et al. <sup>[1]</sup>. The raw data for this figure was not available on request, so has been digitized for use in a research project. For reproducibility, the dataset is uploaded here. An overview image (png) of the digitized dataset can be viewed<strong> </strong>here<strong> </strong>without download. Given the relatively low-resolution image of Figure 4 held by <em>PLOS ONE </em>and text labels covering data in some areas, a number of assumptions and approximations were required to populate the complete dataset. This involves a combination of automated and manual digitizing. Fire susceptibility is grouped into four classes: 1 (lowest), 2, 3, and 4 (highest). Biswas et al. <sup>[1]</sup> provide further descriptions of how the dataset was originally created and the assumptions behind defining these categories. <strong>Details:</strong> Shapefile (.shp) WGS 84 (EPSG:4326) 6502 polygons, resolution of ~0.01° attribute <em>fire_sus</em> indicates the fire susceptibility metric from 1-4 <strong>References:</strong> <sup>[1] </sup>Biswas, S., Vadrevu, K. P., Lwin, Z. M., Lasko, K., & Justice, C. O. (2015). Factors controlling vegetation fires in protected and non-protected areas of Myanmar. <em>PLOS ONE</em>, <em>10</em>(4). DOI: 10.1371/journal.pone.0124346
DOI: 10.5281/zenodo.3782524
title: Complete mitogenome of the invasive land flatworm Parakontikia ventrolineata, the second Geoplanidae (Platyhelminthes) to display an unusually long cox2 gene

description: Complete mitogenome of the invasive flatworm Parakontikia ventrolineata as fasta file.
DOI: 10.5281/zenodo.3782525
title: Complete mitogenome of the invasive land flatworm Parakontikia ventrolineata, the second Geoplanidae (Platyhelminthes) to display an unusually long cox2 gene

description: Complete mitogenome of the invasive flatworm Parakontikia ventrolineata as fasta file.
DOI: 10.5281/zenodo.3783722
title: A study on article selection behavior - Survey

description: This survey helped to evaluate the behavior of economists in academia during the article selection process using different scholarly evaluation metrics. Within this survey, we presented both bibliometric and altmetric indicators attached to four journal articles of which the participants were encouraged to make a decision which article they want to read first. This study, however, was focused more on finding out the usefulness of altmetric information when selecting an article for reading rather than the bibliometric indicators in general. The questionnaire is created on the LimeSurvey. It was disseminated to roughly 15,000 economists worldwide, contacted via email addresses found within the mailing list. The distribution of the survey started on November 11, 2019, and was online for three and a half weeks until November 29, 2019.
DOI: 10.5519/qd.i5knrm4q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.3886/e119241v1
title: Scientific conferences

description: Conferences