cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20180256
title: End-user engineering of ontology-based knowledge bases

description: Knowledge bases store information on certain topics. Applying a well-structured and machine-readable format for a knowledge base is a prerequisite for any AI-based processing or reasoning. Semantic technologies (e.g. RDF) offer such a format and have the advantages that they make it possible to define the semantics of the information and support advanced querying. However, the disadvantage is that using such technologies is challenging for people not trained in IT, such as subject matter experts. This means that they need to rely on semantic technology experts to create, maintain, and query their knowledge bases. However, these experts are, in turn, not trained in the subject matter, while domain knowledge is essential for the construction of high-quality knowledge bases. In this paper, we present an end-user engineering approach for ontology-based knowledge bases. The goal is to allow subject matter experts to develop, maintain, and exploit the knowledge base themselves. We also present the supporting tools developed so far. The tools for the construction and the manual filling of the knowledge base are using the jigsaw metaphor to hide technicalities and guide the users. We also developed tools to automatically import data from spreadsheets into the knowledge base and to perform some type of quality control on the data. The end-user approach and the tools are demonstrated and evaluated for building a knowledge base in the toxicology domain.
DOI: 10.6084/m9.figshare.20180256.v1
title: End-user engineering of ontology-based knowledge bases

description: Knowledge bases store information on certain topics. Applying a well-structured and machine-readable format for a knowledge base is a prerequisite for any AI-based processing or reasoning. Semantic technologies (e.g. RDF) offer such a format and have the advantages that they make it possible to define the semantics of the information and support advanced querying. However, the disadvantage is that using such technologies is challenging for people not trained in IT, such as subject matter experts. This means that they need to rely on semantic technology experts to create, maintain, and query their knowledge bases. However, these experts are, in turn, not trained in the subject matter, while domain knowledge is essential for the construction of high-quality knowledge bases. In this paper, we present an end-user engineering approach for ontology-based knowledge bases. The goal is to allow subject matter experts to develop, maintain, and exploit the knowledge base themselves. We also present the supporting tools developed so far. The tools for the construction and the manual filling of the knowledge base are using the jigsaw metaphor to hide technicalities and guide the users. We also developed tools to automatically import data from spreadsheets into the knowledge base and to perform some type of quality control on the data. The end-user approach and the tools are demonstrated and evaluated for building a knowledge base in the toxicology domain.
DOI: 10.6084/m9.figshare.20374587
title: 16-Sector Philippine Input-Output Tables.xlsx

description: This dataset contains re-specified input-output tables from the input-output accounts of the Philippines for the years 2000, 2006, 2012 and 2018. <br> The 2000 and 2006 tables were published by the then National Statistical Coordination Board in 240-sector resolution. <br> The 2012 table was published by the Philippine Statistics Authority in 65-sector resolution. <br> The 2018 table was published by the Philippine Statistics Authority in the 16-sector resolution which was the basis of the re-specification of the 2000, 2006 and 2012 tables.
DOI: 10.6084/m9.figshare.20517098.v1
title: Additional file 2 of A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists

description: Additional file 2: Model evaluation using GPCR-nontarget drugs from DrugBank and UniProt database.
DOI: 10.5255/ukda-sn-855660
title: Addressing Inclusivity in the Spatial and Social Impacts of COVID-19 on the Self-employed in the UK, 2020-2021

description: The project investigated the social and spatial consequences of the coronavirus crisis on the self- employed in the UK. The project comprises two elements. First is an extensive secondary analysis of nationally representative UK survey data. This allowed detailed analysis of self-employment before, during and after the lockdown, including exits from self-employment and the ability of the self-employed to maintain earnings levels. A particular focus was on gender as early analysis of the impact of this crisis suggested that women are particularly affected. The secondary data analysis was augmented with narratives from self-employed women and men in different regions in the UK. 30 semi-structured interviews were conducted with self-employed interviews. Of these, 15 were interviewed in November 2020. The remaining 15 interviews were conducted in February/March 2021 with individuals different to those in the first study period. The sample was stratified to cover a wide range of self-employed individuals by gender, age, eligibility for the Self-employment Income Support Scheme, sectors, education and region. Interviews were conducted online. Topics discussed included ease of access to government support, to bank finance and other sources of help, coping and recovery strategies and effectiveness of policy interventions. Interviews lasted about 30 minutes each.
DOI: 10.48510/fk2/d5ewhb/zm7jet
title: 03_2-dataset_male_infertility_updated_zoospermia.csv

description: :unav
DOI: 10.48510/fk2/d5ewhb/2hj9sn
title: 03_1-dataset_male_infertility_updated_oat.tab

description: :unav
DOI: 10.48510/fk2/d5ewhb/xkqapx
title: 02-codebook.tab

description: :unav
DOI: 10.48510/fk2/d5ewhb/ncctwh
title: 04-data_cleaning_script.Rmd

description: :unav
DOI: 10.48510/fk2/d5ewhb/l3rdmv
title: 01-description_dataverse_infertility.txt

description: :unav
DOI: 10.20372/aau_rdr/3zjhwj/yzkfox
title: Bogale-SPSS data.tab

description: :unav
DOI: 10.20372/aau_rdr/3zjhwj
title: Perception of Causes and Consequences of Informal Settlements in Addis Ababa: The Case of Yeka Sub-City

description: This article is done as part of fulfillment of his Masters degree in regional and local development studies
DOI: 10.48323/hrmbg-hq412
title: MS_Lumos_2022_May
DOI: 10.48366/r211935
title: Comparison of Research Practices used in RE in 2021

description: A comparison that shows the research practices used in 2021 in the field of RE.
DOI: 10.6084/m9.figshare.20510046
title: Supplementary data for paper In situ crystallization of foliated, non-cotectic rocks on a magma chamber floor

description: Geochemical data and modelling
DOI: 10.6084/m9.figshare.17706164
title: Relative continent - mid-ocean ridge elevation: a reference case for isostasy in geodynamics

description: This repository contains a dataset that is part of the supplementary material of the following research paper: Theunissen, T., Huismans, R.S., Lu, G. and Riel, N. Relative continent/mid-ocean ridge elevation: a reference case for isostasy in geodynamics. Earth-Science Reviews (Submission January 2022)This dataset can be used by a collection of Jupyter notebooks that is accessible through github (https://github.com/tth030/SM_ESR_isostasy). After you have installed the github repository, you have to move the <code>data_figshare</code> folder into <code>SM_ESR_isostasy/</code>.
DOI: 10.6084/m9.figshare.17706164.v1
title: Relative continent - mid-ocean ridge elevation: a reference case for isostasy in geodynamics

description: This repository contains a dataset that is part of the supplementary material of the following research paper: Theunissen, T., Huismans, R.S., Lu, G. and Riel, N. Relative continent/mid-ocean ridge elevation: a reference case for isostasy in geodynamics. Earth-Science Reviews (Submission January 2022)This dataset can be used by a collection of Jupyter notebooks that is accessible through github (https://github.com/tth030/SM_ESR_isostasy). After you have installed the github repository, you have to move the <code>data_figshare</code> folder into <code>SM_ESR_isostasy/</code>.
DOI: 10.34740/kaggle/dsv/4092921
title: AutoXGB
DOI: 10.23728/b2share.f315398a1dd34781ad3f4285f1561fbe
title: CLGAN: Guizhou ML-AWS precipitation dataset

description: This repository provides the preprocessed datasets and source codes, which are used in the study 'CLGAN: A GAN-based video prediction model for precipitation nowcasting' by Ji et al. (2022). This allows the user to reproduce the presented results for the precipitation nowcasting task. To build the dataset, minute-level precipitation measurements by rain gauges of Automatic Weather Stations over Guizhou, China is collected and preprocessed. The raw AWS data comprise measurements from 93 national basic stations and 1740 automatic weather stations across Guizhou at a high observation frequency (every minute). The raw data spans from 1st Jan 2015 and 31st Dec 2019 and is provided by the Guizhou Meteorological Bureau. A series of preprocessing are performed to obtain the proposed dataset, including bilinear interpolation, rainy sequence selection, log transformation and normalization. The details of preprocessing can be found in the paper mentioned above. This folder holds five single netCDF-files which respectively record the data from 2015 to 2019. Each netCDF-file contains preprocessed precipitation sequences with a shape of [n_sequence, len_sequence, n_lat, n_lon]. n_sequence is the number of the recorded sequences, len_sequence is the length of each sequence, n_lat and n_lon are the number of grid points in the meridian and zonal directions. In our case, the target domain covers from 24.625°N to 29.50°N and 103.625°E to 109.50°E (40x48 grid points) with a resolution of 0.125° and the length of each sequence is 24.
DOI: 10.5255/ukda-sn-855929
title: Rwanda Primary School Pupils’ Cognitive Flexibility and Learning Outcomes, 2018

description: This dataset records responses from 306 public primary school children during data collection in Rwanda in 2018. Specifically, each pupil completed two assessments to measure their cognitive flexibility (the Dimension Change Card Sort (DCCS) and Flexible Item Selection Task (FIST)), one measure of their non-verbal reasoning (the Object Pattern-Based Reasoning Assessment (OPRA)) and one measure of their wider executive function and problem-solving skills (the Tower of Hanoi (TOH)). The participants also completed up to four tasks to ascertain their basic reading skills and answered questions from a survey examining different family and background characteristics. All children were assessed and surveyed one-to-one in their mother tongue, Kinyarwanda. Data are only provided for pupils who consented to take part in the research.
DOI: 10.5281/zenodo.6637781
title: Characterisation and calibration of PM sensors at high temporal resolution

description: This repository contains the data used for the Chapter 7 of my PhD thesis: Bulot, Florentin (2022) Systematic studies of commodity particulate matter air pollution sensors. <em>University of Southampton, Doctoral Thesis</em>, 272pp. http://eprints.soton.ac.uk/id/eprint/458166 It contains three files: fidas_10s.csv - contains the PM concentration data from the Fidas 200S rh_temperature.csv - contains the relative humidity and temperature data recorded by each of the SHT35 sensors in each air quality monitor sensors_10s_avg.zip - a zip file containing sensors_10s_avg.csv which contains the PM concentration data measured by the commodity PM sensors from Plantower PMS5003 and Sensirion SPS30 models
DOI: 10.5281/zenodo.6637780
title: Characterisation and calibration of PM sensors at high temporal resolution

description: This repository contains the data used for the Chapter 7 of my PhD thesis: Bulot, Florentin (2022) Systematic studies of commodity particulate matter air pollution sensors. <em>University of Southampton, Doctoral Thesis</em>, 272pp. http://eprints.soton.ac.uk/id/eprint/458166 It contains three files: fidas_10s.csv - contains the PM concentration data from the Fidas 200S rh_temperature.csv - contains the relative humidity and temperature data recorded by each of the SHT35 sensors in each air quality monitor sensors_10s_avg.zip - a zip file containing sensors_10s_avg.csv which contains the PM concentration data measured by the commodity PM sensors from Plantower PMS5003 and Sensirion SPS30 models
DOI: 10.5281/zenodo.6636369
title: Genotypes for Iberian sows

description: This file contains SNP genotype information for 435 sows of Iberian pigs. This is one inpute file of software developed for implementation of the Corner Algorithm https://github.com/lgomezraya/CORNER
DOI: 10.5281/zenodo.6636368
title: Genotypes for Iberian sows

description: This file contains SNP genotype information for 435 sows of Iberian pigs. This is one inpute file of software developed for implementation of the Corner Algorithm https://github.com/lgomezraya/CORNER
DOI: 10.6084/m9.figshare.20517330.v1
title: GWAS summary statistics from publication

description: GWAS used for various analysis. See 00readMe for details.
DOI: 10.6084/m9.figshare.20517330
title: Schork et al 2019 - iPSYCH cross-disorder GWAS summary statistics - PMID: 30692689

description: GWAS used for various analysis. See 00readMe for details.
DOI: 10.6084/m9.figshare.20517330.v2
title: GWAS summary statistics from publication

description: GWAS used for various analysis. See 00readMe for details.
DOI: 10.6084/m9.figshare.20407446
title: The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou

description: <strong>The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou</strong>
DOI: 10.6084/m9.figshare.20407446.v5
title: The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou

description: <strong>The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou</strong>
DOI: 10.6084/m9.figshare.20407446.v4
title: The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou

description: <strong>The Utilization of Physically Based Models and GIS techniques for Comprehensive Risk Assessment of Storm Surge: A Case Study of Huizhou</strong>
DOI: 10.6084/m9.figshare.16998994
title: data for submission

description: supportive data.
DOI: 10.6084/m9.figshare.16998994.v2
title: data for submission

description: supportive data.
DOI: 10.6084/m9.figshare.16998994.v1
title: trickle down effect of motivation

description: Data about the trickle-down effect of motivation.
DOI: 10.6084/m9.figshare.20059079.v2
title: Dataset Novel Helicobater pylori and its association with severity of gastritis

description: This is supplementary data to support our research finding on behalf of research dan data usage kindly contact our corresponding author at muhammad-m@fk.unair.ac.id
DOI: 10.5525/gla.researchdata.1327
title: Socio-economic inequalities within drug-related deaths and drug treatment expenditure in England, 2013 to 2019: an ecological study using routine data

description: The data files revolve around 4 areas: 1. Drug-related deaths across England at Local Authority Level. 2. Expenditure by Local Authorities, grouped by authority for the years 2013-14 to 2020-21. 3. Official UK population estimates. 4. The 2015 Index of multiple deprivation (IMD), income data at authority level. All 4 datasets are published routinely online and are at local authority level.
DOI: 10.6084/m9.figshare.20517405.v1
title: Supplementary Material for: Neurosarcoidosis Presenting with Prominent Periventricular White-Matter Lesions during Steroid Treatment for Autoimmune Hepatitis

description: A 63-year-old woman under treatment of autoimmune hepatitis presented with headache, memory loss, and somnolence. Three months before admission, the patient experienced liver inflammation relapse after prednisolone (PSL) cessation. Consequently, PSL was resumed and then tapered. Cerebrospinal fluid (CSF) examination showed lymphocytic pleocytosis with remarkably reduced glucose and elevated angiotensin-converting enzyme and soluble interleukin-2 receptor levels. Magnetic resonance imaging (MRI) revealed prominent bilateral periventricular white-matter lesions, hydrocephalus, ischemic stroke with gadolinium enhancement of frontoparietal and basilar meninges on contrast-enhanced fluid-attenuated inversion recovery. Magnetic resonance angiography (MRA) showed narrowing of the bilateral middle cerebral arteries. Based on these findings, we diagnosed the patient with neurosarcoidosis. Re-increment of PSL improved the neurological symptoms, CSF findings, and abnormalities found on MRI and MRA. This case suggests that neurosarcoidosis may occur as a complication of some autoimmune diseases during immunotherapy administration.
DOI: 10.5445/ir/1000149721
title: Numerical experiments to "High-frequency wave-propagation: error analysis for analytical and numerical approximations"

description: This code has been used for the numerical experiments in the thesis "High-frequency wave-propagation: error analysis for analytical and numerical approximations" by Julian Baumstark, see https://www.doi.org/10.5445/IR/1000149719.
DOI: 10.21227/64ms-d112
title: SumRateDataset

description: This letter presents a random forest regression (RFR)-based adaptive power allocation (APA) scheme to predict an optimized power factor for user's fair access to data rate in a downlink mmWave non-orthogonal multiple access systems. Notably, the proposed APA scheme learns from the sum rates dataset associated with both distance and inverse pathloss (power factor optimization) models to predict optimized power factors with respect to average value approach. Link level simulation results corroborate the fitness of the proposed scheme for users' fair access to data rate in both line of sight and non-line of sight links.
DOI: 10.5523/bris.2v6cgv1x04ol22qp9rm9x2j6a7
title: EPIC-KITCHENS VISOR
title: EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations

description: We introduce VISOR, a new dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS, which comes with a new set of challenges not encountered in current video segmentation datasets. Specifically, we need to ensure both short- and long-term consistency of pixel-level annotations as objects undergo transformative interactions, e.g. an onion is peeled, diced and cooked - where we aim to obtain accurate pixel-level annotations of the peel, onion pieces, chopping board, knife, pan, as well as the acting hands. VISOR introduces an annotation pipeline, AI-powered in parts, for scalability and quality. Data published under the Creative Commons Attribution-NonCommerial 4.0 International License.
DOI: 10.5281/zenodo.6320624
title: Proton and Helium Ion Acceleration at Magnetotail Plasma Jets

description: Additional files
DOI: 10.5281/zenodo.6320623
title: Proton and Helium Ion Acceleration at Magnetotail Plasma Jets

description: Additional files
DOI: 10.48677/e820ea55-01cb-494b-9c55-bba9d2b01a72
title: Kartenblattschnitte BEV AT - Geographische Gittersysteme GGS

description: Die Blattschnitte des BEV AT definieren Kacheln für unterschiedliche nationale Datenportionen, die mittels der Meridianstreifen (z.B. bei der DKM) oder anderer geografischer Gittersysteme (z.B. beim UTM System) festgelegt sind.
DOI: 10.5523/bris.3m80fom6qujei2uo9nv3gczvel
title: Dataset for paper "Towards compact high-efficiency grating couplers"

description: Data to produce manuscript figures for Towards compact high-efficiency grating couplers for visible wavelength photonics
DOI: 10.17894/ucph.a344db4b-3d71-4a48-8293-a17b4ccf0e9d
title: dnk_lake_catchments

description: # Data and analysis products for manuscript: DOI: https://doi.org/10.1016/j.scitotenv.2022.158090 Journal: Science of the Total Environment Title: Predicting water quality from geospatial lake, catchment, and buffer zone characteristics in temperate lowland lakes Authors: Kenneth Thorø Martinsen* and Kaj Sand-Jensen Affiliations: Freshwater Biological Laboratory, Biological Institute, University of Copenhagen, Universitetsparken 4, 3rd floor, 2100 Copenhagen, Denmark *Corresponding author: Kenneth Thorø Martinsen, kenneth.martinsen@bio.ku.dk ## Contents: This repository contains files (GIS files available in both '.shp' and '.sqlite' formats in sub-folders) associated with the above manuscript: *catchments_simple* Catchment boundaries of 180.377 lakes identified by the "gml_id" feature. Catchments are derived from a high-resolution digital elevation model (1.6 m resolution) followed by simplification, retaining approx. 10% of the original points. *lakes* 180.378 lake polygons identified by the "gml_id" feature. *predictions.csv* CSV text file containing predictions of water quality (alk/alkalinity [meq L^-1], chl_a/chlorophyll a [ug L^-1], color [mg Pt L^-1], ph/pH [pH], tn/total nitrogen [mg L^-1], tp/total phosphorus [mg L^-1], secchi/Secchi depth [m], pco2/CO2 partial pressure [uatm]) for 180.378 lakes identified by the "gml_id" feature. Estimates represents annual averages of surface water concentrations. *models.rds* R-object file which can be read in R using the readRDS() function. The contains a nested R list object: The first level keys are "raw" or "mlr", and second level keys "alk", "chl_a", "color", "ph", "tn", "tp", "secchi", "pco2"). The list contains trained predictive models for each of the eight water quality variables, either as implemented in the MLR R-package ("mlr") or in the underlying R-packages ("raw"). ## Raw data Raw data sources are publicly available and cited in the main text. The lake polygons in this repository are included in the "INSPIRE - HYDROGRAFI" dataset from SDFE, Agency for Datasupply and Efficiency ("Styrelsen for Dataforsyning og Effektivisering" in Danish), downloaded October 2021. This dataset is derived from "GeoDanmark-data" ("Styrelsen for Dataforsyning og Effektivisering og Danske kommuner" in Danish): General terms: https://sdfe.dk/Media/637703280490685559/Vilkaar_for_brug_af_frie_geografiske_data_2021.pdf GeoDanmark-data terms: https://www.geodanmark.dk/wp-content/uploads/2020/03/Vilk%C3%A5r-for-brug-af-frie-geografiske-data.pdf
DOI: 10.5281/zenodo.6759845
title: Source Data for 'The imprint of star formation of stellar pulsations'

description: This repository holds the source data and plotting routines for all Figures and Tables of the artice 'The imprint of star formation on stellar pulsations'. source_data.zip holds the source data. Each file provides a data set. Different data sets used in this publication are i.e. one parameter of a evolutionary track (i.e. 2Msun_classic_history_star_age.txt), one parameter of a structure model (i.e. 2Msun_classic_different_ov_profile_zams_mass.txt), or one parameter of a theoretical frequency set (i.e. GYRE_summary_classic_pre_ms_stage_n_pg.txt). All files have one column and are directly loaded in plot_utils.py . plot_utils.py holds the plotting Routines for Figures 1-7 and Figures A1-A39. figures.py executes the plotting routines from plot_utils.py. Figures.zip holds the resulting Figures.<br> Requirements to execute the plotting routines are: <pre>Python 3.7.5 numpy 1.19.5 matplotlib 3.3.3 pandas 1.2.2 cmcrameri 1.4 scipy 1.2.3 seaborn 0.11.1</pre>