cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17183/donnees_mag_traitees_golfestmalo_shom
title: Données magnétiques acquises dans le Golfe de St-Malo de 2007 à 2015 traitées par le GHOA et validées par le Département Géophysique Marine du Shom.

description: Les données magnétiques acquises entre 2007 et 2015 dans le Golfe de Saint-Malo ont été traitées avec Hypack Mag selon la procédure Shom (PS2007-072) par le Groupe Hydrographique et Océanographique de l'Atlantique (GHOA) du Shom.
Le traitement des données est validé par le Département Géophysique Marine du Shom.
L'anomalie magnétique brute (AnoIGRF) est calculée par retrait de la dernière version du modèle IGRF (Thébault et al., 2015) disponible au moment du traitement.
Les anomalies magnétiques totales (AnoBF et AnoBFHF) sont calculées par retrait des variations diurnes basse fréquence et d'agitation haute fréquence déterminées par filtrage de données de référence d'observatoires magnétiques disponibles sur INTERMAGNET (http://www.intermagnet.org/). 
Les données traitées sont archivées au format ASCII MAG_avec_STATION défini comme suit: Date(YYYYMMDD) Heure(HHmmSS) Longitude(DD_WGS84) Latitude(DD_WGS84) Mag_brut Modèle_IGRF AnoIGRF AnoBF AnoBFHF Nom_profil.

Le DOI couvre les fichiers suivants:
- S2007-044_LEVELOT1.MAG_AVEC_STATION: données traitées de la campagne S2007-044 (LANNION RAZ-BLANCHARD (ZONE SUD-EST, BOITE 3) 2007;
- S2012-092_LEVELOT1.MAG_AVEC_STATION: données traitées de la campagne S2012-092 (LANNION - RAZ BLANCHARD (CAP FREHEL) 2012);
- S2013-067_LEVELOT1.MAG_AVEC_STATION: données traitées de la campagne S2013-067 (LANNION - RAZ BLANCHARD 2013);
- S2015-023_LEVELOT1.MAG_AVEC_STATION: données traitées de la campagne S2015-023 (SAINT-MALO - LPO 2015).
DOI: 10.5281/zenodo.1450563
title: Gulustan-Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1450564
title: Gulustan-Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.15129/eb18329b-c1bd-4ee1-b7b6-bf17f1939d8a
title: Data for: "Energy scaling, second Stokes oscillation and Raman gain-guiding in monolithic diamond Raman lasers"

description: The names of the *.dat files correspond to figure numbers in the manuscript. The first row in each column indicates the axis name in the figure. These datasets are the results of experiments and modelling carried out in the University of Strathclyde. There are total 24 data files. These were created for the purposes of the European Research Council (727738); UK EPSRC (EP/P00041X/1); Fraunhofer UK Research Ltd.; Royal Academy of Engineering
DOI: 10.5281/zenodo.1450894
title: Data Of Qyer Comments On Points Of Interest In Switzerland Until November 2017, Including User Information

description: The dataset contains a set of observations about comments on the Microblog "Qyer.com". For every comment, there is Information about time and place and about the user who uploaded the comment.
DOI: 10.17632/cg5ssfh2z6.1
title: klci oil

description: Raw data.
DOI: 10.17632/7yj5w435hh.1
title: Coping with Long-Term Unemployment

description: Qualitative data were collected from a sample of long-term unemployed age 47-59 from the Workforce Investment Act (WIA) dislocated worker program (N=16) who reported positive well-being on the General Health Questionnaire (GHQ-12). Structured interview questions generated detailed data on coping strategies. Data were analyzed using MAXQDA10 software. Key coping strategies associated with positive well-being included productive use of time on meaningful activities, conserving financial resources, social supports, and cognitive maneuvers. Findings suggest that employing certain behavioral coping strategies together safeguards subjective well-being during long-term unemployment and enables individuals to remain active in their job search. Procedures Participant selection and data collection occurred in two phases. Phase 1 involved selecting a sample of 277 candidates who met the selection criteria. They were identified from the WIA Title I dislocated worker program (July 2009 – August 2011) and the unemployment insurance program. In Phase 1, prospective participants were invited by letter to participate. The letter included the instructions for completing the participant Informed Consent Form. The form described risks and benefits of the study, confidentiality, and anonymity. The letter also included the (GHQ-12). Upon receipt of completed participant solicitation materials and the Informed Consent Form, the GHQ-12 was scored using the cutoff score of 3/4. Those scoring a 3 or lower were categorized into the positive subjective well-being group and those scoring a 4 or higher were categorized into a group reporting negative well-being. Candidates exhibiting positive subjective well-being based on their GHQ-12 score were contacted by telephone and/or mail and invited to participate in an interview. In this way, a purposeful sample of 16 participants was selected. Analysis Excel spreadsheets and qualitative data analysis software were utilized to organize the data for interpretation and analysis. The data consisted of GHQ-12 scores, WIA participant data, background data, interview data, and field notes. The method of content analysis used a categorical-content approach as described by Lieblich, Tuval-Mashiach, and Zilber (1998). A categorical-content approach entails identifying categories and themes that become apparent through review of the data. Three readings of each interview were completed in succession. An objective coding scheme (Clark, 2012) was developed and applied to the content and data. Codes were developed on the basis of the emerging information collected from the participants (Creswell, 2009). This resulted in coding sections of the transcribed text according to the categories developed from the interview process and reading transcripts. To facilitate data synthesis, organization, accessibility, and interpretation, MAX Qualitative Data Analysis 10 (MAXQDA10) qualitative analysis software was utilized.
DOI: 10.17632/dt2x65b265.1
title: Paper CAM

description: Tool-path calculation by CAM
DOI: 10.17632/wv8gkgrzdz.3
title: Synthesis and Coordination Chemistry of Sterically Hindered Cobalt(II) β-Ketoiminate Complexes

description: This data supports the experimental part of our article "Synthesis and Coordination Chemistry of Sterically Hindered Cobalt(II) β-Ketoiminate Complexes".
DOI: 10.5281/zenodo.1439454
title: Data Supporting The Publication "Multi-Use Of The Sea: A Wide Array Of Opportunities From Site-Specific Cases Across Europe"

description: Data supporting the publication "Multi-use of the sea: a wide array of opportunities from site-specific cases across Europe"
DOI: 10.5281/zenodo.1439455
title: Data Supporting The Publication "Multi-Use Of The Sea: A Wide Array Of Opportunities From Site-Specific Cases Across Europe"

description: Data supporting the publication "Multi-use of the sea: a wide array of opportunities from site-specific cases across Europe"
DOI: 10.6073/pasta/8adad5bdd8788a47972109a3570bdc99
title: Soil nitrous oxide and methane data for South slope of Niwot Ridge, 1992.

description: To determine the effect of increased nitrogen availability on fluxes of N2O and CH4 from alpine soils, we measured fluxes of these gases from fertilized and unfertilized soils in two alpine plant communities differing in net primary productivity, soil organic matter quality, and moisture. Five fertilized and 5 unfertilized plots within each community type were sampled. In the dry meadow community, the addition of nitrogen resulted in a 22-fold increase in N2O emission, while in the wet meadow, we observed a 45-fold increase in N2O emission rates. Methane uptake in the dry meadow community was reduced 52% by fertilization. However, net CH4 production occurred in all of the wet meadow plots and emission rates were not significantly affected by fertilization. Net nitrification rates were higher in dry meadow fertilized plots than in non-fertilized plots throughout the growing season. Net mineralization rates in fertilized dry meadow plots were higher than those in non-fertilized plots during the latter half of the growing season. Carbon to nitrogen ratios and amounts of total soil organic nitrogen in both the wet and dry meadow were not significantly affected by fertilization.
DOI: 10.17632/bbbxp7y9yt.1
title: Evolutionary divergence of Brain-specific precursor miRNAs drives efficient processing and production of mature miRNAs in human: Table S1

description: The hallmark of human evolution encompasses the dramatic increase in brain size and complexity. The intricate interplays of micro-RNAs (miRNAs) and their target genes are indispensable in brain development. Sequence divergence in distinct structural regions of Brain-specific precursor miRNAs (pre-miRNAs) and its consequence in the production of corresponding mature miRNAs in human are unknown. To address these questions, first we classified miRNAs into three categories based on tissue expression: Brain-specific (expressed exclusively in brain), Non-brain (expressed in non-brain tissues) and Common (expressed in all tissues) and compared the sequence divergence of different structural regions (basal segment, lower and upper stem, internal and terminal loop) of categorized pre-miRNAs across human, non-human primates and rodents. Our analysis revealed that unpaired regions of Brain-specific pre-miRNAs in human bear traces of relatively higher rate of evolutionary divergence compared to those in other species. Cross-tissue expression analysis unveiled the higher expression of the Brain-specific miRNAs in human compared to other species. Intriguingly, in human brain, expression levels of these miRNAs superseded the levels of the ubiquitously expressed “Common-miRNAs”. Further analysis revealed that presence of certain motif and nucleotide preference in the Brain-specific pre-miRNAs may favor DROSHA and DICER to ameliorate miRNA processing. The higher processing efficiency of human Brain-specific miRNAs was reflected as an elevated production of corresponding mature miRNAs in the human brain. Finally, re-construction of gene-regulatory network uncovers different pathways driven by Brain-specific miRNAs that may contribute to the development of brain in human.
DOI: 10.17632/fmjrwybtjx.1
title: 2018 Progesterone Method Validation Paper Raw Data

description: Raw data provided for research paper titled Development and Validation of a Stability Indicating HPLC Method for Quantification of Progesterone in Compounded Glycerinated Gelatin Troches. The objective of this study was to develop a validated stability indicating HPLC method that quantifies progesterone in compounded glycerinated gelatin troches. The mobile phase was composed of methanol and water (75:25 v/v) while the stationary phase was a Waters Nova-Pak C18 column (3.9 mm x 15 cm x 4.0 µm) with the column’s temperature set to 40 ⁰C. The injection volume was 20 µL while the gradient flow rate was maintained at 0.75 mL/min for a run time of 15 minutes. The detection wavelength for progesterone was set to 245 nm. In the forced degradation study, there was significant hydrolytic, oxidative, UV, and thermal degradation but insignificant photodegradation. However, no degradants co-eluted with progesterone. All method validation parameters met the respective acceptance criteria established by ICH guidelines. This developed and validated method is suitable for both routine potency/strength testing as well as stability testing of progesterone in compounded glycerinated gelatin troche dosage forms. The method was utilized to successfully quantify progesterone in multiple compounded preparations from two different compounding pharmacies.
DOI: 10.17632/nntck7ddgt.2
title: EVALUATING PATIENT READMISSION RISK: A DATA MINING APPROACH

description: Citation: Cite the attached article and this dataset. Structure: 55 attributes; 100,000 instances; Missing values = Yes Source: The data are submitted on behalf of the Center for Clinical and Translational Research, Virginia Commonwealth University, a recipient of NIH CTSA grant UL1 TR00058 and a recipient of the CERNER data. John Clore (jclore '@' vcu.edu), Krzysztof J. Cios (kcios '@' vcu.edu), Jon DeShazo (jpdeshazo '@' vcu.edu), and Beata Strack (strackb '@' vcu.edu). This data is a de-identified abstract of the Health Facts database (Cerner Corporation, Kansas City, MO). Data Set Information: The dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representing patient and hospital outcomes. Information was extracted from the database for encounters that satisfied the following criteria. (1) It is an inpatient encounter (a hospital admission). (2) It is a diabetic encounter, that is, one during which any kind of diabetes was entered to the system as a diagnosis. (3) The length of stay was at least 1 day and at most 14 days. (4) Laboratory tests were performed during the encounter. (5) Medications were administered during the encounter. The data contains such attributes as patient number, race, gender, age, admission type, time in hospital, medical specialty of admitting physician, number of lab test performed, HbA1c test result, diagnosis, number of medication, diabetic medications, number of outpatient, inpatient, and emergency visits in the year before the hospitalization, etc.
DOI: 10.17632/ps8gfcmytc.1
title: Evolutionary divergence of Brain-specific precursor miRNAs drives efficient processing and production of mature miRNAs in human: Table S2

description: The hallmark of human evolution encompasses the dramatic increase in brain size and complexity. The intricate interplays of micro-RNAs (miRNAs) and their target genes are indispensable in brain development. Sequence divergence in distinct structural regions of Brain-specific precursor miRNAs (pre-miRNAs) and its consequence in the production of corresponding mature miRNAs in human are unknown. To address these questions, first we classified miRNAs into three categories based on tissue expression: Brain-specific (expressed exclusively in brain), Non-brain (expressed in non-brain tissues) and Common (expressed in all tissues) and compared the sequence divergence of different structural regions (basal segment, lower and upper stem, internal and terminal loop) of categorized pre-miRNAs across human, non-human primates and rodents. Our analysis revealed that unpaired regions of Brain-specific pre-miRNAs in human bear traces of relatively higher rate of evolutionary divergence compared to those in other species. Cross-tissue expression analysis unveiled the higher expression of the Brain-specific miRNAs in human compared to other species. Intriguingly, in human brain, expression levels of these miRNAs superseded the levels of the ubiquitously expressed “Common-miRNAs”. Further analysis revealed that presence of certain motif and nucleotide preference in the Brain-specific pre-miRNAs may favor DROSHA and DICER to ameliorate miRNA processing. The higher processing efficiency of human Brain-specific miRNAs was reflected as an elevated production of corresponding mature miRNAs in the human brain. Finally, re-construction of gene-regulatory network uncovers different pathways driven by Brain-specific miRNAs that may contribute to the development of brain in human.
DOI: 10.17632/5xbskdjnm9.3
title: Data set of the care pathway of children living with epilepsy in Kinshasa

description: It is the dataset of a study describing the therapeutic itinerary of children living with epilepsy of Kinshasa (Democratic Republic of the Congo). The features of this care pathway and its relationships with behavioral problems and cognitive impairment are analyzed. The therapeutic itinerary is described by four variables: i) the types of consultation (TypeOfConsultation and NumberOfTypeConsultation), ii) the first source of suspicion or diagnostic of disease (SuspicionDiagnostic), iii) the previous treatment before reaching the site of study (PreviousTreatment) and the duration between the first epileptic seizure and the first arrival to the site of study. This duration is subdivised in three: the duration I (DurationI) between first seizure and suspicion or diagnostic of epilepsy, the duration II (DurationII) between the suspicion or diagnostic of disease and the first arrival to the site of study, and total duration (TotalDuration) between first epileptic seizure and first arrival to the site of study. Relationships between features of therapeutic itinerary are analyzed by the Pearson chi-square test, non parametric tests (Mann-Whitney U-test and Kruskal Wallis test) and parametric tests (with planned contrast) when equality of variances is assumed and without high asymmetry. For planned contrasts for variable "source of suspicion or diagnostic" we used 3 contrasts: Western Medicine (3/0/0), None (-1/2/0), Traditional healer (-1/-1/1) and family or relatives (-1/-1/-1). For planned contrasts for variable "previous treatment" we used 3 contrasts: AED (3/0/0), AED-Traditional (-1/2/0), Traditional treatment (-1/-1/-1) and None (-1/-1/1).
DOI: 10.17632/7nx4prgjzz.4
title: Direct simulation of hot jet in cold channel crossflow with temperature mixing

description: This is the data of a direct simulation of a hot jet in cold channel crossflow. Three thermal boundary conditions are considered: T=0 at the wall [1], Q=0 at the wall [1, 2] and conjugate heat transfer [3] For details about the computational configurations, methods and results, please refer to [1-3] (see links below) A paper on validating selected RANS models using the current database has been submitted to International Journal of Heat and Fluid Flow. A paper discussing the coherent structures of current flow using proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) has been submitted to Journal of Fluid Mechanics. We have the 3D time-averaged statistics of mean velocity, Reynolds stress, heat fluxes, temperature fluctuations and their budgets. We also have more than 4000 full resolution instantaneous snapshots for each case (only 200 for the adiabatic case). The complete dataset is about 20TB!!! More data will be released in the future. Please feel free to contact me if you need more information or more data. The authors acknowledge the use of ARCHER HPC allocated via UK Turbulence Consortium (EPSRC grant EP/L000261/1) and the use of BlueGene/Q supercomputer sponsored by EDF R&D centre Chatou, France. The authors are grateful to Cedric Flageul for help in implementing heat transfer in the DNS code and Sofiane Benhamadouche for valuable discussions and advice. E-mail: zhao.wu@manchester.ac.uk [1] Zhao Wu, Dominique Laurence, & Imran Afgan. 2015. DNS of a jet in cross flow with passive scalar mixing. Pages 479–482 of: 8th International Symposium on Turbulence, Heat and Mass Transfer. Sarajevo, Bosnia and Herzegovina: Begellhouse. [2] Zhao Wu, Dominique Laurence, & Imran Afgan. 2017a. Direct numerical simulation of a low momentum round jet in channel crossflow. Nuclear Engineering and Design, 313(mar), 273–284. DOI: 10.1016/j.nucengdes.2016.12.018 [3] Zhao Wu, Dominique Laurence, Hector Iacovides & Imran Afgan. 2017b. Direct Simulation of Conjugate Heat Transfer of Jet in Channel Crossflow. International Journal of Heat and Mass Transfer. DOI: 10.1016/j.ijheatmasstransfer.2017.03.027
DOI: 10.17632/gd3jsy3xmz.1
title: Accompanying data to "Role of parametrized orographic gravity waves in the lower stratosphere"

description: "composite_files", "detected_events" and "interactive_figures" folder contains composite averages for a particular model or calculated variable, lists of detected peak events, and files and interactive plots for time-series used for compositing, respectively. All files are included for two timescales (20 and 30 days).
DOI: 10.17632/nntck7ddgt.1
title: EVALUATING PATIENT READMISSION RISK: A DATA MINING APPROACH

description: Citation: Cite the attached article and this dataset. Structure: 55 attributes; 100,000 instances; Missing values = Yes Source: The data are submitted on behalf of the Center for Clinical and Translational Research, Virginia Commonwealth University, a recipient of NIH CTSA grant UL1 TR00058 and a recipient of the CERNER data. John Clore (jclore '@' vcu.edu), Krzysztof J. Cios (kcios '@' vcu.edu), Jon DeShazo (jpdeshazo '@' vcu.edu), and Beata Strack (strackb '@' vcu.edu). This data is a de-identified abstract of the Health Facts database (Cerner Corporation, Kansas City, MO). Data Set Information: The dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representing patient and hospital outcomes. Information was extracted from the database for encounters that satisfied the following criteria. (1) It is an inpatient encounter (a hospital admission). (2) It is a diabetic encounter, that is, one during which any kind of diabetes was entered to the system as a diagnosis. (3) The length of stay was at least 1 day and at most 14 days. (4) Laboratory tests were performed during the encounter. (5) Medications were administered during the encounter. The data contains such attributes as patient number, race, gender, age, admission type, time in hospital, medical specialty of admitting physician, number of lab test performed, HbA1c test result, diagnosis, number of medication, diabetic medications, number of outpatient, inpatient, and emergency visits in the year before the hospitalization, etc.
DOI: 10.5281/zenodo.1413494
title: Datasets for automatic acoustic identification of individual birds

description: Bird individual audio recordings (foreground and background) to accompany the work:

<em><strong>"Automatic acoustic identification of individuals: Improving generalisation across species and recording conditions"</strong></em><br>
by Dan Stowell, Tereza Petrusková, Martin Šálek, Pavel Linhart

https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0940

<br>
This dataset contains labelled recordings of individuals from three different bird species:


	Little owl
	Chiffchaff
	Tree Pipit


For more information, please see the README.txt file, and the research article.

The dataset takes approx 11 GB of disk space after the ZIP files have been uncompressed.
description: Funding: DS was supported by EPSRC Early Career research fellowship EP/L020505/1. PL was supported by the National Science Centre, Poland, under Polonez fellowship reg. no UMO-2015/19/P/NZ8/02507 funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665778. TP was supported by the Czech Science Foundation (project P505/11/P572).M\v{S} was supported by the research aim of the Czech Academy of Sciences (RVO 68081766).
DOI: 10.21227/e6nk-mc54
title: Condition Monitoring for Handpumps - vibration data

description: Vibration data collected from handpump handles in Kwale, Kenya.
DOI: 10.5281/zenodo.1450570
title: The Caucasus-Economic And Social Analysis Journal Of Southern Caucasus

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES