cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.gkqc4s
title: ISO 19115 Citation Information
title: ISO19115CI

description: Citation and responsible part ontology
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.fshfbv
title: Ontology for Parasite Life Cycle
title: OPL

description: OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location.  OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.17632/s66fx4dsw6.1
title: Research Data

description: Research Data
DOI: 10.25504/fairsharing.e0rj5n
title: Content Archive Resource Exchange Lexicon
title: CARELEX

description: Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc).     A Content model contains content classification categories (classes) and metadata properties (data properties).  Data properties should be assigned to each Content Type.   This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries. For more info go to www.CareLex.Org
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.dztyt6
title: miRNEST
title: miRNEST

description: miRNEST is a database of animal, plant and virus microRNAs, containing  miRNA predictions conducted on Expressed Sequence Tags of animal and  plant species.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5883/ds-histerpy
title: Cohabitation with aggressive hosts: description of a new microhisterid species in nests of a ponerine ant with ecological notes

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.10577108
title: Supplementary information for "Condensation mass sink and intensification of tropical storms"

description: ebtrk_atlc_1988_2015.txt is the EBTRK version uploaded on July 27, 2016, see https://rammb2.cira.colostate.edu/research/tropical-cyclones/tc_extended_best_track_dataset/ Lines from 03437 till 11824 correspond to storms in 1998-2015, a total of 8387 records.

pre-wv-new-2023.zip contains 2x8387 files with TRMM precipitation distributions for those 8387 records.

For example, file pre-wv-new-04568.txt is for AL1200 HELENE 15 September 18:00 2000 from EBTRK. The file contains 70 lines corresponding to distance r_i =i*25 km from the storm center, where i is the line number, 25 km <= r_i <= 3000 km. Numbers in the first column are the local TRMM precipitation (mm/hour) averaged among the TRMM cells that are no more than r_i but not less than r_(i-1) km (r_0 =0) from the storm center. Missing data correspond to -1. The number of TRMM cells for which precipitation is averaged is given in the 5th column. For this record (no. 4568), number 1.672 in the first column, fifth row indicates that the mean 3-hour TRMM precipitation between 100 km and 125 km from the storm center was 1.672 mm/hour, with 26 cells used to calculate this average.(The remaining columns are not relevant for this study but were used by Makarieva et al. 2017  https://doi.org/10.1016/j.atmosres.2017.04.006. The 2nd column gives the mean TRMM precipitation (mm/hour) in the absence of storms, 3rd column is the mean MERRA water vapor content (mm), 4nd column is the mean MERRA water vapor content (mm) in the absence of storms, 6th column is the number of MERRA cells used to calculate water vapor content, 7th column is r_i (km).)File pre-wv-int-new-04568.txt has the same structure, but it reports the mean TRMM precipitation (mm/hour) within the circle of radius r_i. For this record (no. 4568), number 1.899 in the first column, fifth row indicates that the mean 3-hour TRMM precipitation within 125 km from the storm center was 1.899 mm/hour.

statistics.txt reports all data used in this study.N is line number of the record in ebtrk_atlc_1988-2015.txtI is the intensification rate (hPa/day)Pm is the maximum concurrent precipitation (mm/hour)rP is the radius of maximum precipitation (km)mPm is the mean precipitation within the circle of radius rP (mm/hour)rm is the radius of maximum wind from EBTRK (nm)Prm is precipitation at the radius of maximum wind (mm/hour), if undefined -1Im is the intensification rate lifetime maximum used in the analysis? 0 No, 1 YesName Name of the stormMonth MonthDay DayTime timeYear yearsimulations.zip contains the input_sounding, namelist.input and onefile.F files for PSE, REV and NOEV simulations, respectively, see the Methods section and the CM1 model description at https://www2.mmm.ucar.edu/people/bryan/cm1/ .
DOI: 10.5281/zenodo.10577109
title: Supplementary information for "Condensation mass sink and intensification of tropical storms"

description: ebtrk_atlc_1988_2015.txt is the EBTRK version uploaded on July 27, 2016, see https://rammb2.cira.colostate.edu/research/tropical-cyclones/tc_extended_best_track_dataset/ Lines from 03437 till 11824 correspond to storms in 1998-2015, a total of 8387 records.

pre-wv-new-2023.zip contains 2x8387 files with TRMM precipitation distributions for those 8387 records.

For example, file pre-wv-new-04568.txt is for AL1200 HELENE 15 September 18:00 2000 from EBTRK. The file contains 70 lines corresponding to distance r_i =i*25 km from the storm center, where i is the line number, 25 km <= r_i <= 3000 km. Numbers in the first column are the local TRMM precipitation (mm/hour) averaged among the TRMM cells that are no more than r_i but not less than r_(i-1) km (r_0 =0) from the storm center. Missing data correspond to -1. The number of TRMM cells for which precipitation is averaged is given in the 5th column. For this record (no. 4568), number 1.672 in the first column, fifth row indicates that the mean 3-hour TRMM precipitation between 100 km and 125 km from the storm center was 1.672 mm/hour, with 26 cells used to calculate this average.(The remaining columns are not relevant for this study but were used by Makarieva et al. 2017  https://doi.org/10.1016/j.atmosres.2017.04.006. The 2nd column gives the mean TRMM precipitation (mm/hour) in the absence of storms, 3rd column is the mean MERRA water vapor content (mm), 4nd column is the mean MERRA water vapor content (mm) in the absence of storms, 6th column is the number of MERRA cells used to calculate water vapor content, 7th column is r_i (km).)File pre-wv-int-new-04568.txt has the same structure, but it reports the mean TRMM precipitation (mm/hour) within the circle of radius r_i. For this record (no. 4568), number 1.899 in the first column, fifth row indicates that the mean 3-hour TRMM precipitation within 125 km from the storm center was 1.899 mm/hour.

statistics.txt reports all data used in this study.N is line number of the record in ebtrk_atlc_1988-2015.txtI is the intensification rate (hPa/day)Pm is the maximum concurrent precipitation (mm/hour)rP is the radius of maximum precipitation (km)mPm is the mean precipitation within the circle of radius rP (mm/hour)rm is the radius of maximum wind from EBTRK (nm)Prm is precipitation at the radius of maximum wind (mm/hour), if undefined -1Im is the intensification rate lifetime maximum used in the analysis? 0 No, 1 YesName Name of the stormMonth MonthDay DayTime timeYear yearsimulations.zip contains the input_sounding, namelist.input and onefile.F files for PSE, REV and NOEV simulations, respectively, see the Methods section and the CM1 model description at https://www2.mmm.ucar.edu/people/bryan/cm1/ .
DOI: 10.5281/zenodo.10497343
title: Dataset of time-lagged fractions of burned area associated with land-use transitions and the number of years since transition

description: This dataset supports the findings of the publication 'The time since land-use transition drives changes in fire activity in the Amazon-Cerrado region' by Ribeiro et al. 2024. 

The dataset consists of time-lagged fractions of burned area associated with land-use transitions to model how fire activity changes with the evolution of land use in the Amazon-Cerrado agricultural frontier. To investigate the joint impact of land-use change and climate drivers, this dataset also includes annual values of vapor pressure deficit (VPD) and maximum cumulative water deficit (MCWD). 





For more information, please read the README.txt and the associated article or contact the authors of the publication.
DOI: 10.5281/zenodo.10497344
title: Dataset of time-lagged fractions of burned area associated with land-use transitions and the number of years since transition

description: This dataset supports the findings of the publication 'The time since land-use transition drives changes in fire activity in the Amazon-Cerrado region' by Ribeiro et al. 2024. 

The dataset consists of time-lagged fractions of burned area associated with land-use transitions to model how fire activity changes with the evolution of land use in the Amazon-Cerrado agricultural frontier. To investigate the joint impact of land-use change and climate drivers, this dataset also includes annual values of vapor pressure deficit (VPD) and maximum cumulative water deficit (MCWD). 





For more information, please read the README.txt and the associated article or contact the authors of the publication.
DOI: 10.6084/m9.figshare.25105742
title: Mean Data.xlsx

description: <b>Improving the Productivity of Common</b> <b>Bean</b><b> </b><b>(</b><i>Phaseolus Vulgaris</i> L<b>.)</b><b> </b><b>Using the Optimum Blended Inorganic Fertilizer Rate Recommendation</b>
DOI: 10.13012/b2idb-9511904_v1
title: Model dataset for the Wax Lake delta

description: This dataset is the numerical simulation data of the computational study of the cold front-related hydrodynamics in the Wax Lake delta. The numerical model used is ECOM-si.
DOI: 10.17632/52886yjprk.1
title: Bayesian evidence for the neural dissociation between finger and hand imitation skills

description: Online data for Bayesian evidence for the neural dissociation between finger and hand imitation skills by Rosenzopf, Röhrig, Goldenberg & Karnath
DOI: 10.13012/b2idb-4871125_v1
title: Public agency data of the Wax Lake delta

description: This dataset includes data of the the Wax Lake delta from four public agencies: NGDC, USGS, NDBC, and NOAA CO-OPS. Besides the original data, the processed data associated with analyzed figures are also shared.
DOI: 10.25504/fairsharing.cfha89
title: FAST (Faceted Application of Subject Terminology) Event Facet
title: FAST-EVENT-SKOS

description: This is a test of submitting FAST-EVENT with Format dropdown set to SKOS (instead of OWL)
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.17632/kf7wtbcwnk.1
title: Secular mantle evolution induced by variable slab fluid metasomatism during Paleo-Tethys oceanic subduction

description: This dataset includes: (1）Age data of the Permian-Triassic mafic arc igneous rocks from EKOB；（2）Whole-rock major and trace element compositions of the Permian-Triassic mafic arc igneous rocks from EKOB; (3) Whole-rock Rb-Sr and Sm-Nd isotopic compositions of the Permian-Triassic mafic arc igneous rocks from EKOB; (4) Zircon Lu-Hf isotope data of the Permian-Triassic mafic arc igneous rocks from EKOB.
DOI: 10.17632/kf7wtbcwnk.3
title: Secular mantle evolution induced by variable slab fluid metasomatism during Paleo-Tethys oceanic subduction

description: This dataset includes: (1）Age data of the Permian-Triassic mafic arc igneous rocks from EKOB；（2）Whole-rock major and trace element compositions of the Permian-Triassic mafic arc igneous rocks from EKOB; (3) Whole-rock Rb-Sr and Sm-Nd isotopic compositions of the Permian-Triassic mafic arc igneous rocks from EKOB; (4) Zircon Lu-Hf isotope data of the Permian-Triassic mafic arc igneous rocks from EKOB.
DOI: 10.13012/b2idb-4810873_v1
title: Bathymetry data of the Wax Lake delta (2012-12-01)

description: This dataset is the field measurements of water depth at the Wax Lake delta on the date 2012-12-01.
DOI: 10.17632/56mt53pt2c.1
title: Medi

description: In this study, it was aimed to make assessments about medical education via Twitter, which is seen as an important tool in the sharing of different thoughts and opinions. The study was carried out using the document analysis method, which is a qualitative research method, and data collected via the Twitter interface were analyzed using the content analysis and social network analysis methods. The data were collected between 21.03.2021 and 18.07.2021 using the key phrase “Medical Education”. The data units that were extracted by MAXQDA were regularly classified at weekly intervals. The process of data extraction via the software ended when the dataset reached a size that made it no longer possible to make more classifications. In this step, 26250 posts were reached in total. These posts consisted of three types of posts, namely Tweets, Retweets, and Mentions. To analyze a dataset using the social network analysis method, the data should be first appropriately refined, transformed, and filtered.
DOI: 10.5281/zenodo.10581727
title: Simulated German Inpatient Claims Data

description: The inpatient claims simulation process generates several output files:



parameters.json: the parameters used for the simulation run

claims.csv: initial inpatient treatments, not containing fraud, DRGs, and claims

claims_with_fraud.csv: claims.csv with injected fraud

claims_with_drg.csv: claims_with_fraud.csv after grouping the treatments

claims_final.csv: final inpatient treatments
DOI: 10.5281/zenodo.10581728
title: Simulated German Inpatient Claims Data

description: The inpatient claims simulation process generates several output files:



parameters.json: the parameters used for the simulation run

claims.csv: initial inpatient treatments, not containing fraud, DRGs, and claims

claims_with_fraud.csv: claims.csv with injected fraud

claims_with_drg.csv: claims_with_fraud.csv after grouping the treatments

claims_final.csv: final inpatient treatments
DOI: 10.25504/fairsharing.bgd17k
title: ISO 19115 Distribution Information
title: ISO19115DI

description: ISO 19115 Distribution Information
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.13012/b2idb-3764213_v1
title: LIDAR data for the Wax Lake delta

description: This dataset is about a topographic LIDAR survey (saved in “waxlake-lidar.img”) that was conducted over the Wax Lake delta, between longitudes −91.5848 to −91.292 degrees, and latitudes 29.3647 to 29.6466 degrees. Different from other elevation data, the positive value in the LIDAR data indicates land elevation, while the zero value implies riverbed without identifying specific water depth.
DOI: 10.25504/fairsharing.bedkvf
title: Mobile group II introns database
title: Mobile group II introns database

description: Many newly sequenced bacterial group II introns are incorrectly identified or annotated. A major goal of this database is to be a resource in helping to identify and catalog group II introns in the databases. The status of this record is uncertain as the homepage has not been updated since 2008.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.17632/23339m9g9n.1
title: Composition design and process optimization of refractory boride coatings based on high throughput preparation and machine learning

description: For high-throughput machine learning
DOI: 10.17632/zmtxnpjvcs.1
title: Survey for Research in Computer Programming skill in the Students of NUBTK

description: We prepared an online survey system using “Google Forms” to collect their data or information. We went to fieldwork, giving the 4th-semester students the printed paper version of the same survey. We
stopped after collecting information till we got sufficient responses. The students are divided into males and females. The format of the survey is relatively informal but structured. After meeting the acceptable response mark, we collected the data as a CSV file that Google Forms provides as default. The CSV file contained the spreadsheet with rows as individual students’ data and columns representing as-per-question features.
DOI: 10.17632/3hzhknfzsx.1
title: Dataset on Insilco Evaluation; Antibacterial Activities of Synthesis of (2,6-diethylphenyl)- 5-oxopyrrolidine Derivatives

description: With the rise of antibacterial resistance, researchers develop new strategies to combat resistance and also design drug-like compound that possess stronger antibacterial properties. 2-Pyrrolidine is known for its biological properties and this led researchers to explore and synthesize functionalized 2-pyrrolidinone derivatives. 
The antibacterial effect of functionalised synthesis of (2,6-diethylphenyl)- 5-oxopyrrolidine was examined. Basis set of 6-6-31G* and B3LYP with Density functional theory was used in optimising the functionalised synthesised compound of 2-Pyrrolidine. Discovery studio software was used in preparing the protein downloaded from the protein data bank Cytolysin A (ClyA) and SleL (4PHQ,4S3J {PDB ID}) (4PHQ,4S3J {PDB ID}) whose source organism is Escherichia coli and Bacillus cereus respectively for docking. 
Already optimized molecular compounds were subjected to molecular docking to obtain the calculated binding affinity of each derivative of 2 oxopyrrolidine and the active site off the receptor.
Autodock Tool was also employed to locate the site of binding of the target protein Autodock vina for the docking calculations. After all the above steps were taken, discovery studio was used to visualise in 2D the interaction between the ligand and the receptor.
The calculated molecular descriptors obtained from optimized studied compounds are highest occupied molecular orbital energy (EHOMO), lowest unoccupied molecular orbital energy (ELUMO), polarizability, dipole moment, hydrogen bond acceptor, energy band gap, area, volume, polar surface area, Log P, hydrogen bond donor.
These molecular descriptors reveals some of the antibacterial activities of 1-(2,6-diethylphenyl)-5-oxopyrrolidine derivatives and binding affinity shows the compounds ability to inhibit Cytolysin A (ClyA) and SleL whose source organism is Escherichia coli and Bacillus cereus. Compound 8- 12 posses’ higher inhibition of S1el (Bacillus cereus) compared to the reference drug Ampicillin.
DOI: 10.17632/xx8d34s2vr.1
title: Brandt and Lim, Opening Up in the 21st Century: A Quantitative Accounting of Chinese Export Growth

description: Replication code and instructions for the paper "Opening Up in the 21st Century: A Quantitative Accounting of Chinese Export Growth", by Loren Brandt and Kevin Lim.
DOI: 10.17632/ngrgymb5jx.1
title: Survey database for the article "Toys with a purpose: values ​​of inclusion and diversity in brands aimed at children. Analysis of its impact and social projection"

description: Survey database for the article "Toys with a purpose: values ​​of inclusion and diversity in brands aimed at children. Analysis of its impact and social projection". This article carries out a case study of various toy brands in order to analyze the purposes and values ​​they transmit around the concepts of inclusion and diversity. A survey is carried out through a telematic questionnaire in order to know the social perception of the public.
DOI: 10.5281/zenodo.10570245
title: Ling et al 2024

description: Single-molecule tracking data from the whole cell were recorded using a Hamamatsu EM-CCD Camera C9100-13. For both fast and slow tracking, .mat files contain raw trajectory coordinate from DiaTrack 3.04 software. For slow tracking, .637.tif files distinguish signals from the protein of interest (POI) and H2B cells.
DOI: 10.5281/zenodo.10570246
title: Ling et al 2024

description: Single-molecule tracking data from the whole cell were recorded using a Hamamatsu EM-CCD Camera C9100-13. For both fast and slow tracking, .mat files contain raw trajectory coordinate from DiaTrack 3.04 software. For slow tracking, .637.tif files distinguish signals from the protein of interest (POI) and H2B cells.