cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17033/data.00000150
title: EVALUATION OF INITIAL IMPACTS OF GCP’S TOURISM SUPPORT IN THE GAMBIA

description: The GGCP, supported by IDA, is based on the commitment of the GoG to the second pillar of the Poverty Reduction Strategy Paper (PRSP 2007-11) for the promotion of pro-poor growth and employment through private sector development. The GoG was the recipient of a $3M grant towards the implementation of the GGCP’s tourism sub-component to be used over a period of 5 years (2011-2015). The TMC is the implementing body whose remit it is to improve the tourism industry’s performance by focusing primarily on ‘marketing’ and ‘skills development’. The scope of this report is to provide an independent evaluation on the overall impact of the GGCP’s tourism sub-component by assessing the activities that have been supported thus far. Specifically: A. To evaluate the contribution of GGCP’s tourism supported activities in the tourism sector, especially for tourist arrivals from both traditional and non-traditional source markets. B. To evaluate the TMC’s marketing initiatives and document the lessons learned during such promotional campaigns. C. To assess the likely impacts of the tourism support including the GTHI; outlining sustainability strategies. D. To evaluate the institutional arrangements of the tourism support with a view to highlighting issues that may require corrective/promotional measures.
description: With support from the GGCP team, the Ministry of Tourism and Culture (MoTC), the TMC Board, the GTBoard, the GTHI’s DG, DDG and Team, the Gambia Hotel Association (GHA), and other relevant key stakeholders, the study gathered relevant data using the following instruments: - Telephone conversation with the client to agree on preliminary phase of the mission; - Meetings with the client; - Literature review and data mining of government produced reports and statistics (i.e. Midterm report and other reports associated with the GGCP tourism component; GGCP Quarterly Reports, TMC Meetings’ Minutes and Reports; GTHI Minutes and Reports, GTBoard Reports and Statistics) - Stakeholders’ meetings/interviews including consultation with key sector's stakeholders (i.e. IPs, suppliers of PR services). - Value Chain Analysis of the current state of play of the tourism sector to identify possible future directions. - Problem Tree Analysis to highlight current challenges to the implementation of the GGCP’s tourism component and achievement of the PDOs. - SWOT Analysis of the GTHI aimed at identify sustainability strategies for the future.
DOI: 10.21421/d2/3ukrck/ngw107
title: Data on RIL population ninety percent filtered.hmp.zip

description: :unav
DOI: 10.21421/d2/3ukrck
title: Data on genetic dissection and QTL mapping of fodder quality traits in Sorghum under different water regimes

description: Data on QTL analysis and identification of genomic regions or loci associated with fodder quality traits in sorghum. The genotypes along with parents were sown and DNA was isolated from leaves of each accession at 4 to 6 leaf stage using the modified Hexadecyltrimethylammonium bromide (CTAB) protocol from 12-day-old seedlings and genotyping done following the GBS (genotyping by sequencing) approach with ApeKI restriction enzyme used for complexity reduction. SNPs were called using TASSEL v5.2 GBS pipeline against sorghum assembly v3.1 with default parameters. The raw SNP data has 321 taxa (including population and two parents) with 292960 numbers of sites. The SNP calling was done at 90% coverage based on sites, &gt;10% missing values, and minor allele frequencies &lt;5% were excluded from further analysis. The final marker count was 1141 markers and BLUPs data generated from phenotyping was used to identify significant QTL for fodder quality under drought conditions.
DOI: 10.5281/zenodo.3632781
title: Dataset for: "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children"

description: Dataset for paper: Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children The dataset consists of five files:<br> 1. groundtruth_videos.json: This is the ground truth dataset. We have 4797 manually annotated videos (1513 suitable, 929 disturbing, 419 restricted, and 1936 irrelevant). You can distinguish among the different labels by observing the 'classification_label' field.<br> 2. elsagate_related_videos.json: Contains the data for 233K elsagate-related YouTube videos (1K seed and 232K recommended) that were obtained as described in the paper.<br> 3. other_child_related_videos.json: Contains the data for 155K other child-related YouTube videos (2K seed and 153K recommended) that were obtained as described in the paper.<br> 4. random_videos.json: Contains the data for 482K random YouTube videos (8K seed and 474K recommended) that were obtained as described in the paper.<br> 5. popular_videos.json: Contains the data for 11K popular YouTube videos (500 seed and 10.5K recommended) that were obtained between November 18 and November 21, 2018, as described in the paper. For each video in all sets, you can check the predicted label of our classifier by observing the 'prediction' field.
description: Acknowledgments: This project has received funding from the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie ENCASE project (Grant Agreement No. 691025) and from the National Science Foundation under grant CNS-1942610.
DOI: 10.5281/zenodo.3632780
title: Dataset for: "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children"

description: Dataset for paper: Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children The dataset consists of five files:<br> 1. groundtruth_videos.json: This is the ground truth dataset. We have 4797 manually annotated videos (1513 suitable, 929 disturbing, 419 restricted, and 1936 irrelevant). You can distinguish among the different labels by observing the 'classification_label' field.<br> 2. elsagate_related_videos.json: Contains the data for 233K elsagate-related YouTube videos (1K seed and 232K recommended) that were obtained as described in the paper.<br> 3. other_child_related_videos.json: Contains the data for 155K other child-related YouTube videos (2K seed and 153K recommended) that were obtained as described in the paper.<br> 4. random_videos.json: Contains the data for 482K random YouTube videos (8K seed and 474K recommended) that were obtained as described in the paper.<br> 5. popular_videos.json: Contains the data for 11K popular YouTube videos (500 seed and 10.5K recommended) that were obtained between November 18 and November 21, 2018, as described in the paper. For each video in all sets, you can check the predicted label of our classifier by observing the 'prediction' field.
description: Acknowledgments: This project has received funding from the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie ENCASE project (Grant Agreement No. 691025) and from the National Science Foundation under grant CNS-1942610.
DOI: 10.6084/m9.figshare.14113178
title: EMG data of VL muscle

description: Experimental data about EMG variables for the influence of HAL gait training in a patient with SMA.
DOI: 10.25345/c53z37
title: MassIVE MSV000086950 - Proteomics and ultrastructural analysis of Hermetia illucens (Diptera: Stratiomyidae) larval peritrophic matrix
title: This is a set of three raw data from the larval of Hermetia illucens. The total protein was extracted with protein lysis buffer (8M urea with appropriate protease inhibitor). The trypsin-digested peptides were analyzed by online nano-flow liquid chromatography tandem mass spectrometry performed on an EASY-nLC system (Thermo, USA) connected to a Q Exactive HF-X Quadrupole Orbitrap mass spectrometer (Thermo, USA) through a nanoelectrospray ion source.
DOI: 10.25790/bml0cm.86
title: MRIcro
DOI: 10.48370/ofd/dkzhr7/6wnuaz
title: HMW_Arrhenatherum_elatius_L_P_Beauv_ex_J_Presl_&_C_Presl_H_9003.jpg

description: :unav
DOI: 10.48370/ofd/dkzhr7
title: Rajgras wyniosły (Arrhenatherum elatius (L.) P.Beauv. ex J.Presl C.Presl), 9003

description: Herbarium
DOI: 10.48370/ofd/yedo7y/ophjgl
title: HMW_Ajuga_genevensis_L_H_8885.jpg

description: :unav
DOI: 10.48370/ofd/yedo7y
title: Dąbrówka kosmata (Ajuga genevensis L.), 8885

description: Herbarium
DOI: 10.48370/ofd/umnt1t/xzjg1f
title: HMW_Ajuga_genevensis_L_H_9037.jpg

description: :unav
DOI: 10.48370/ofd/umnt1t
title: Dąbrówka kosmata (Ajuga genevensis L.), 9037

description: Herbarium
DOI: 10.48370/ofd/fwsk5s/6dodfa
title: HMW_Cruciata_glabra_L_Ehrend_H_9052.jpg

description: :unav
DOI: 10.48370/ofd/fwsk5s
title: Przytulinka wiosenna (Cruciata glabra (L.) Ehrend.), 9052

description: Herbarium
DOI: 10.13140/rg.2.2.26965.76005
title: World Journal of Cardiology Peer-reviewer
DOI: 10.13140/rg.2.2.20254.87369
title: World Journal of Cardiology Peer-reviewer
DOI: 10.48370/ofd/lke6fn/kliwpv
title: 0876-0001.jpg

description: :unav
DOI: 10.48370/ofd/lke6fn
title: Czyścica drobnokwiatowa (Acinos arvensis (Lam.) Dandy), 8878

description: Herbarium
DOI: 10.48370/ofd/qq30vh/fvbkp1
title: HMW_Aquilegia_x_hybrida_Hort_H_8977.jpg

description: :unav
DOI: 10.48370/ofd/qq30vh
title: Orlik mieszańcowy (Aquilegia x hybrida Hort.), 8977

description: Herbarium
DOI: 10.48370/ofd/m8uean/074bfx
title: HMW_Alopecurus_pratensis_L_H_9060.jpg

description: :unav
DOI: 10.48370/ofd/m8uean
title: Wyczyniec łąkowy (Alopecurus pratensis L.), 9060

description: Herbarium
DOI: 10.48370/ofd/mtcbzg/48zm1a
title: HMW_Alchemilla_subcrenata_Buser_H_8973.jpg

description: :unav
DOI: 10.48370/ofd/mtcbzg
title: Przywrotnik karbowany (Alchemilla subcrenata Buser), 8973

description: Herbarium
DOI: 10.15161/oar.it/73545
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: 10.6084/m9.figshare.14113346
title: Supplementary Material for: Serum Individual Nonesterified Fatty Acids and Risk of Heart Failure in Older Adults

description: <b><i>Background:</i></b> Heart failure (HF) is highly prevalent among older adults and is associated with high costs. Although serum total nonesterified fatty acids (NEFAs) have been positively associated with HF risk, the contribution of each individual NEFA to HF risk has not been examined. <b><i>Objective:</i></b> The aim of this study was to examine the association of individual fasting NEFAs with HF risk in older adults. <b><i>Methods:</i></b> In this prospective cohort study of older adults, we measured 35 individual NEFAs in 2,140 participants of the Cardiovascular Health Study using gas chromatography. HF was ascertained using review of medical records by an endpoint committee. <b><i>Results:</i></b> The mean age was 77.7 ± 4.4 years, and 38.8% were male. During a median follow-up of 9.7 (maximum 19.0) years, 655 new cases of HF occurred. In a multivariable Cox regression model controlling for demographic and anthropometric variables, field center, education, serum albumin, glomerular filtration rate, physical activity, alcohol consumption, smoking, hormone replacement therapy, unintentional weight loss, and all other measured NEFAs, we observed inverse associations (HR [95% CI] per standard deviation) of nonesterified pentadecanoic (15:0) (0.73 [0.57–0.94]), γ-linolenic acid (GLA) (0.87 [0.75–1.00]), and docosahexaenoic acid (DHA) (0.73 [0.61–0.88]) acids with HF, and positive associations of nonesterified stearic (18:0) (1.30 [1.04–1.63]) and nervonic (24:1<i>n</i>-9) (1.17 [1.06–1.29]) acids with HF. <b><i>Conclusion:</i></b> Our data are consistent with a higher risk of HF with nonesterified stearic and nervonic acids and a lower risk with nonesterified 15:0, GLA, and DHA in older adults. If confirmed in other studies, specific NEFAs may provide new targets for HF prevention.
DOI: 10.6084/m9.figshare.14113346.v1
title: Supplementary Material for: Serum Individual Nonesterified Fatty Acids and Risk of Heart Failure in Older Adults

description: <b><i>Background:</i></b> Heart failure (HF) is highly prevalent among older adults and is associated with high costs. Although serum total nonesterified fatty acids (NEFAs) have been positively associated with HF risk, the contribution of each individual NEFA to HF risk has not been examined. <b><i>Objective:</i></b> The aim of this study was to examine the association of individual fasting NEFAs with HF risk in older adults. <b><i>Methods:</i></b> In this prospective cohort study of older adults, we measured 35 individual NEFAs in 2,140 participants of the Cardiovascular Health Study using gas chromatography. HF was ascertained using review of medical records by an endpoint committee. <b><i>Results:</i></b> The mean age was 77.7 ± 4.4 years, and 38.8% were male. During a median follow-up of 9.7 (maximum 19.0) years, 655 new cases of HF occurred. In a multivariable Cox regression model controlling for demographic and anthropometric variables, field center, education, serum albumin, glomerular filtration rate, physical activity, alcohol consumption, smoking, hormone replacement therapy, unintentional weight loss, and all other measured NEFAs, we observed inverse associations (HR [95% CI] per standard deviation) of nonesterified pentadecanoic (15:0) (0.73 [0.57–0.94]), γ-linolenic acid (GLA) (0.87 [0.75–1.00]), and docosahexaenoic acid (DHA) (0.73 [0.61–0.88]) acids with HF, and positive associations of nonesterified stearic (18:0) (1.30 [1.04–1.63]) and nervonic (24:1<i>n</i>-9) (1.17 [1.06–1.29]) acids with HF. <b><i>Conclusion:</i></b> Our data are consistent with a higher risk of HF with nonesterified stearic and nervonic acids and a lower risk with nonesterified 15:0, GLA, and DHA in older adults. If confirmed in other studies, specific NEFAs may provide new targets for HF prevention.
DOI: 10.6084/m9.figshare.14113347.v1
title: Role of Cys-298 in specific recognition of glutathione by aldose reductase

description: Aldose reductase (AR) is an NADPH-dependent oxidoreductase that is well-studied for its role in Diabetes Mellitus. Glutathione conjugated aldehydes are efficiently catalysed by AR. We have employed molecular dynamics simulations to investigate the dynamics of a glutathione analog, γ-glutamyl-S-(1,2-di-carboxyethyl)-cysteinyl-glycine (DCEG), into the binding pocket of AR. Study revealed that backbone nitrogens of Ala-299 and Leu-300 form a tiny pocket gated by thiol group of Cys-298. The glycine moiety of DCEG was able to displace the thiol group of Cys-298 to make hydrogen bond interactions with backbone of Ala-299, Leu-300, and Leu-301. This study provides the details of the dynamic interactions of DCEG in the binding pocket of AR, and shall aid in the design/discovery of differential inhibitors against AR. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.14113347
title: Role of Cys-298 in specific recognition of glutathione by aldose reductase

description: Aldose reductase (AR) is an NADPH-dependent oxidoreductase that is well-studied for its role in Diabetes Mellitus. Glutathione conjugated aldehydes are efficiently catalysed by AR. We have employed molecular dynamics simulations to investigate the dynamics of a glutathione analog, γ-glutamyl-S-(1,2-di-carboxyethyl)-cysteinyl-glycine (DCEG), into the binding pocket of AR. Study revealed that backbone nitrogens of Ala-299 and Leu-300 form a tiny pocket gated by thiol group of Cys-298. The glycine moiety of DCEG was able to displace the thiol group of Cys-298 to make hydrogen bond interactions with backbone of Ala-299, Leu-300, and Leu-301. This study provides the details of the dynamic interactions of DCEG in the binding pocket of AR, and shall aid in the design/discovery of differential inhibitors against AR. Communicated by Ramaswamy H. Sarma
DOI: 10.5281/zenodo.4561598
title: Catalan Sub-word Embeddings in FastText

description: These Catalan sub-word embeddings in FastText using BPE have been generated from the largest corpus ever made in Catalan till the date. The corpus has more than 10Gb of curated high quality text. If this material is useful, please cite it. Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL) and the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública.
DOI: 10.5281/zenodo.4561597
title: Catalan Sub-word Embeddings in FastText

description: These Catalan sub-word embeddings in FastText using BPE have been generated from the largest corpus ever made in Catalan till the date. The corpus has more than 10Gb of curated high quality text. If this material is useful, please cite it. Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL) and the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública.
DOI: 10.5522/04/13253906.v2
title: Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England (extended data)

description: This dataset includes:<br><br>1. Search terms used to identify codes that may represent a history of illicit opioid use 2. Codelist for identifying people with a history of illicit opioid use 3. Age- and sex-distribution of patients by product and clinical codes 4. Detailed table of mortality rates and ratios 5. Number of patients currently in the cohort 6. Age of patients at cohort entry<br>
DOI: 10.5281/zenodo.4557673
title: Semantic Textual Similarity in Catalan

description: STS corpus is a benchmark for evaluating Semantic Text Similarity in Catalan.<br> It consists of 3079 sentence pairs, annotated with the semantic similarity between them, using a scale from 0 (no similarity at all) to 5 (semantic equivalence). It is done manually by 4 different people following our guidelines based on previous work from the SemEval challenges (https://www.aclweb.org/anthology/S13-1004.pdf). This dataset was developed by BSC TeMU as part of the AINA project. <em>Corpus per evaluar STS en català.</em> <em>Consta de 3079 parells de frases, anotades segons el grau de similitud semàntica que tenen, segons una escala que va de 0 (no s'assemblen gens) a 5 (són equivalents). L'anotació ha estat feta manualment per 4 persones segons les nostres guies, basades en els SemEval Callenges (https://www.aclweb.org/anthology/S13-1004.pdf)</em> <em>Aquest dataset ha estat desenvolupat pel la unitat de Text mining del BSC en el marc del projecte Aina.</em>
DOI: 10.5281/zenodo.4522041
title: Catalan Word Embeddings in FastText

description: These Catalan word embeddings in FastText have been generated from the largest corpus ever made in Catalan till the date. The corpus has more than 10Gb of curated high quality text. If this material is useful, please cite it. Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL) and the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública.
DOI: 10.5281/zenodo.4522040
title: Catalan Word Embeddings in FastText

description: These Catalan word embeddings in FastText have been generated from the largest corpus ever made in Catalan till the date. The corpus has more than 10Gb of curated high quality text. If this material is useful, please cite it. Copyright (c) 2021 Text Mining Unit - Barcelona Supercomputing Center
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL) and the Generalitat de Catalunya, Departament de Polítiques Digitals i Administració Pública.
DOI: 10.21227/fkhy-3272
title: EEG Pain

description: The EEG pain dataset was collected from 12 subjects using Cold pressor test (CPT), and EEG signals were recorded using the Emotiv EPOCFlex Cap (32 channels) with 32 electrodes placed over thescalp at predetermined locations based on the InternationalElectroencephalographic Society (10-20-20), with afrequency of 128 Hz.
DOI: 10.25345/c50808
title: MassIVE MSV000086951 - GNPS-FeaturebasedMolecularNetworkingFRDerivatives
title: Both, the soil bacterium Chromobacterium vaccinii and the bacterial endosymbiont Candidatus Burkholderia crenata of the plant Ardisia crenata are producers of FR900359 (FR). This cyclic depsipeptide is a potent and selective Gq protein inhibitor and used extensively to investigate the intracellular signaling of G protein coupled receptors (GPCRs). In this study, the metabolomes of both FR producers were investigated and compared using feature-based molecular networking (FBMN). As a result, 30 to date unknown FR derivatives were identified, one third of which being unique to C. vaccinii. Guided by MS, a novel FR derivative, FR-6 (compound 1), was isolated, and its structure unambiguously established. In a whole cell biosensing assay based on detection of dynamic mass redistribution (DMR) as readout for Gq inhibition, FR-6 suppressed Gq signaling with micromolar potency (pIC50=5.56). This functional activity was confirmed in radioligand binding assays (pKi=7.50). This work demonstrates the power of molecular networking, guiding the way to a novel Gq inhibiting FR derivative, and underlining the potency of FR as Gq inhibitor.
DOI: 10.5281/zenodo.4534173
title: Design principles for the General Data Protection Regulation (GDPR): A formal concept analysis and its evaluation

description: Data and software are nowadays one and the same: for this very reason, the European Union (EU) and other governments introduce frameworks for data protection — a key example being the General Data Protection Regulation (GDPR). However, GDPR compliance is not straightforward: its text is not written by software or information engineers but rather, by lawyers and policy-makers. As a design aid to information engineers aiming for GDPR compliance, as well as an aid to software users’ understanding of the regulation, this article offers a systematic synthesis and discussion of it, distilled by the mathematical analysis method known as Formal Concept Analysis (FCA). By its principles, GDPR is synthesised as a concept lattice, that is, a formal summary of the regulation, featuring 144372 records — its uses are manifold. For example, the lattice captures so-called attribute implications, the implicit logical relations across the regulation, and their intensity. These results can be used as drivers during systems and services (re-)design, development, operation, or information systems’ refactoring towards more GDPR consistency.