cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/n1klnv/fl5cht
title: beneficient.tab

description: :unav
DOI: 10.7910/dvn/n1klnv/g0mgho
title: beseech.wav

description: :unav
DOI: 10.7910/dvn/n1klnv/wou3io
title: beverage.tab

description: :unav
DOI: 10.7910/dvn/n1klnv/ynxg4b
title: belly.wav

description: :unav
DOI: 10.7910/dvn/n1klnv/zwtmon
title: beleaguer.wav

description: :unav
DOI: 10.7910/dvn/xnmcyi/mos6qs
title: SNR_abdomen_V4_SMURF_scan2.dat

description: :unav
DOI: 10.5281/zenodo.3262096
title: Phenotype profile of monocytes differentiated in the presence of semen Fucosylated Clusterin

description: Having shown that fucosylated clusterin effectively interacts with macrophages via DC-SIGN, we then analyzed its influence on the phenotype of macrophages. In these experiments, monocytes were cultured for 5 days with M-CSF, in the absence or presence of semen fucosylated clusterin. Then, the cells were cultured for additional 24 hours with or without LPS and the phenotype were analyzed. Fucosylated clusterin-treated macrophages failed to upregulate the expression of HLA-DR and CD86 induced by LPS but not the expression of CD40, CD80 and PDL-1. These results are represented on Figure 6 from the publication: Aberrant fucosylation enables breast cancer clusterin to interact with dendritic cell-specific ICAM-grabbing non-integrin (DC-SIGN).
DOI: 10.7910/dvn/n1klnv/afvtw4
title: bid.tab

description: :unav
DOI: 10.7910/dvn/n1klnv/ayp0jw
title: biographer.wav

description: :unav
DOI: 10.7910/dvn/n1klnv/cfnokn
title: beverage.wav

description: :unav
DOI: 10.15468/dl.48q7dx
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Liliaceae"
 ]
}

 The dataset includes 86 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021165-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10028722
title: Non-communicable diseases household survey

description:                                   
*Corresponding Author:
Ghamdan Gamal Alkholidy (ghamdangamal@gmail.com)
 
Abstract
Non-communicable diseases (NCDs) claim 41 million lives annually, accounting for 71% of global mortality. The Middle East sees a rapid increase in NCD cases, yet Yemen remains underexplored in this context. This study aims to investigate NCD epidemiology in Sana'a City, Yemen, for 2017. Raw data from a 2017 house-to-house survey conducted by the Ministry of Public Health and Population was analyzed. Household heads reported any of the following five NCDs in the household: hypertension (HTN), diabetes mellitus (DM), bronchial asthma (BA), mental disorders (MD), and epilepsy. Data were entered and analyzed using Epi info 7.2, using 2017 projections from the 2004 census. The study encompassed 241,310 households, housing 1,592,646 individuals. Among these, 59,061 households (24.48%) included 70,178 individuals with at least one NCD. The overall NCD prevalence was 4.4%, with specific prevalence: HTN 2.3%, DM 2.2%, BA 0.4%, MD 0.27, and epilepsy 0.19%. NCD prevalence was significantly higher among females than males (5.1% vs. 3.8%; odds ratio [OR] 1.35, 95% confidence intervals [CI] 1.33–1.35), a trend mirrored in HTN (3.1% vs 1.6%; OR 1.94, 95% CI 1.90–1.98), DM (2.3% vs 2.1%; OR 1.11, 95% CI 1.09–1.13), and BA (0.5% vs 0.3%; OR 1.56, 95% CI 1.49–1.65). Conversely, MD was more prevalent among males than females (0.35% vs. 0.16%; OR 2.2, 95% CI 2.06–2.31). NCD prevalence increased with age, with nearly 18% of patients having more than one NCD, including 35.2% of HTN patients also having DM. One-quarter of surveyed households had at least one member with one or more of the five NCDs, emphasizing an overall NCD prevalence of 4.4%. These findings rely only on self-reported diagnosed cases, lacking standardized measures. In light of these findings, it is crucial to increase focus on NCDs, enhance healthcare provision, improve data collection, implement an NCDs stepwise survey, and establish an NCD surveillance system.
 
Keywords:
 Non-communicable diseases; Hypertension; Diabetes; Bronchial asthma
DOI: 10.34740/kaggle/dsv/6752973
title: BBC News
DOI: 10.5281/zenodo.10028978
title: SequenceLab Datasets

description: These are the datasets included in the SequenceLab evaluation framework. They were generated based on read sets of the human genome with accession numbers SRR10035390 (Illumina), SRR12519035 (PacBio HiFi), SRR12564436 (Oxford Nanopore Technologies).
The files are in TSS (Tab Separated Sequences) format. Each line contains a pair of nucleotide sequences, separated by tabs. This simplified format enables evaluating genomic tools with little overhead on real datasets.
TSS Specification

Each line consists of a pair of nucleotide sequences, separated by a tab character.
Each line is terminated by a single newline character, i.e. in UNIX style. Windows style linebreaks (carriage return + newline) are not permitted.
Basepair sequences may consist of uppercase and lowercase nucleic or amino acid codes, as allowed in the FASTA format.
If the dataset is for a readmapping usecase, the first sequence is the read or query, the second is the reference or target.
Methodology
The datasets were generated in three steps:

Each read set was mapped to the T2T CHM13 reference genome using minimap2 once with alignment disabled, resulting in the *_chained and *_mapped datasets, respectively.
The candidate pairs reported in the resulting .paf files were extracted from the reads and reference, respectively, and written to a .tss file.
For each .tss file, the shortest 90% and longest 10% of candidate locations were split into separate .tss files named _bottom and _top, respectively.
DOI: 10.5281/zenodo.10028977
title: SequenceLab Datasets

description: These are the datasets included in the SequenceLab evaluation framework. They were generated based on read sets of the human genome with accession numbers SRR10035390 (Illumina), SRR12519035 (PacBio HiFi), SRR12564436 (Oxford Nanopore Technologies).
The files are in TSS (Tab Separated Sequences) format. Each line contains a pair of nucleotide sequences, separated by tabs. This simplified format enables evaluating genomic tools with little overhead on real datasets.
TSS Specification

Each line consists of a pair of nucleotide sequences, separated by a tab character.
Each line is terminated by a single newline character, i.e. in UNIX style. Windows style linebreaks (carriage return + newline) are not permitted.
Basepair sequences may consist of uppercase and lowercase nucleic or amino acid codes, as allowed in the FASTA format.
If the dataset is for a readmapping usecase, the first sequence is the read or query, the second is the reference or target.
Methodology
The datasets were generated in three steps:

Each read set was mapped to the T2T CHM13 reference genome using minimap2 once with alignment disabled, resulting in the *_chained and *_mapped datasets, respectively.
The candidate pairs reported in the resulting .paf files were extracted from the reads and reference, respectively, and written to a .tss file.
For each .tss file, the shortest 90% and longest 10% of candidate locations were split into separate .tss files named _bottom and _top, respectively.
DOI: 10.34740/kaggle/dsv/6752984
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.21379413.v1
title: datafile1.xlsx

description: These data include the temperature distributions in the experimental setups and the drying curves of okra.
DOI: 10.6084/m9.figshare.21379413
title: datafile1.xlsx

description: These data include the temperature distributions in the experimental setups and the drying curves of okra.
DOI: 10.21227/15jy-nc88
title: Synthetic Dataset of Bangladesh Power Grid for Power Flow Studies in PSSE

description: The dataset is prepared using publicly available Bangladesh Power Development Board's 1994-95 annual report and typical electrical parameters of loads, transmission lines, transformers and generators, good for power flow studies as a test case in PSSE. It does not include any geographical data and substation names so it is not revealing any sensitive information about the grid but it is very realistic to the actual grid, can be used for research purpose, e.g., to find out the reactive support deficiencies in the system.Future work includes preparing synthetic dynamics models so a test case will be available for transient studies.
DOI: 10.5281/zenodo.10028989
title: TELHADO VERDE: UMA PROPOSTA SUSTENTÁVEL

description: Com o crescimento populacional urbano, os solos vegetais são substituídos pela construção civil, alterando a permeabilidade natural do mesmo, provocando fenômenos naturais recorrentes as grandes cidades. As vantagens de implementar um jardim suspenso em comparação as coberturas tradicionais e seus métodos construtivos, são extremamente benéficas ao ambiente ecológico. Ao fim do estudo fica claro que os telhados verdes apresentam inúmeras vantagens significativas sobre o telhado tradicional de cerâmica, aliando sustentabilidade, economia e estética em um só elemento. Trata-se de uma resposta eficaz para reduzir os impactos ambientais do modelo atual de cobertura e ganhar em benefícios à qualidade de vida dos seres, que vão desde a captação eficiente de água da chuva até o isolamento térmico e acústico da construção e o aumento da durabilidade útil do telhado.
DOI: 10.5281/zenodo.10028988
title: TELHADO VERDE: UMA PROPOSTA SUSTENTÁVEL

description: Com o crescimento populacional urbano, os solos vegetais são substituídos pela construção civil, alterando a permeabilidade natural do mesmo, provocando fenômenos naturais recorrentes as grandes cidades. As vantagens de implementar um jardim suspenso em comparação as coberturas tradicionais e seus métodos construtivos, são extremamente benéficas ao ambiente ecológico. Ao fim do estudo fica claro que os telhados verdes apresentam inúmeras vantagens significativas sobre o telhado tradicional de cerâmica, aliando sustentabilidade, economia e estética em um só elemento. Trata-se de uma resposta eficaz para reduzir os impactos ambientais do modelo atual de cobertura e ganhar em benefícios à qualidade de vida dos seres, que vão desde a captação eficiente de água da chuva até o isolamento térmico e acústico da construção e o aumento da durabilidade útil do telhado.
DOI: 10.15468/6yvqp3
title: Habitats and fish communities at mesophotic depths in the Mexican Pacific

description: Mesophotic ecosystems, found at the limit of light penetration in the ocean, are rich in biodiversity and harbour unique ecological communities. However, they remain among the least studied habitat zones on earth due to the high costs and technological limitations. Here, we characterize mesophotic communities in two marine reserves across a range of habitat types, depths and temperatures using submersible technologies, with the goal of understanding the processes that structure these communities across biogeographical regions.
DOI: 10.34740/kaggle/dsv/6753187
title: WallStreetBets 2022
DOI: 10.5519/qd.3x9og5g9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (773 records)
DOI: 10.5281/zenodo.10015366
title: Part 3 of 7 – Future time, at a distance

description: Correlations between a Shintergy synchronizedbrain and a laser field; a possible fractal structureof Consciousness(Part 3 of 7 – Future time, at a distance) BLUE lines
DOI: 10.5281/zenodo.10015365
title: Part 3 of 7 – Future time, at a distance

description: Correlations between a Shintergy synchronizedbrain and a laser field; a possible fractal structureof Consciousness(Part 3 of 7 – Future time, at a distance) BLUE lines
DOI: 10.5281/zenodo.10028976
title: Novel ensemble models for groundwater potential mapping: Application of the Split-Point Sampling and Node Attribute Subsampling Classifier in Vietnam

description: Le Tien Duy
DOI: 10.5281/zenodo.10028975
title: Novel ensemble models for groundwater potential mapping: Application of the Split-Point Sampling and Node Attribute Subsampling Classifier in Vietnam

description: Le Tien Duy
DOI: 10.6084/m9.figshare.24412714
title: Supplementary Information _ Useh et al _ Survey Reporting Checklist.pdf

description: This research explored awareness of commonly used infection-related terms among patients and carers in the surgical out-patient of a tertiary academic hospital
DOI: 10.6084/m9.figshare.24412714.v1
title: Supplementary Information _ Useh et al _ Survey Reporting Checklist.pdf

description: This research explored awareness of commonly used infection-related terms among patients and carers in the surgical out-patient of a tertiary academic hospital
DOI: 10.15468/3rqpd2
title: Preliminary Report on Check Lists of Reef Fishes at Aldabra, December 2021

description: From 9th to 12th December 2021 a series of dives were carried out on the outer reef of Aldabra along the north and west sides of the atoll. The purpose was to identify non-cryptic reef fish species between the approximate depths of 10m and 20m at a series of locations specified by Seychelles Island Foundation (SIF) researchers based at Aldabra.
DOI: 10.25582/data.2022-09.2612366/2108240
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609899/2108241
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610620/2108242
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611444/2108243
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611823/2108244
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609261/2108245
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610703/2108246
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610593/2108247
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611517/2108248
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613434/2108249
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606509/2108250
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611544/2108251
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611837/2108252
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612344/2108253
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613420/2108254
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609294/2108255
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608233/2108256
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608548/2108257
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608869/2108258
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612295/2108259
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611565/2108260
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611583/2108261
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611629/2108262
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609421/2108263
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610035/2108264
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611519/2108265
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609862/2108266
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610084/2108267
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608860/2108268
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609213/2108269
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612192/2108270
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612496/2108271
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612426/2108272
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612094/2108273
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613421/2108274
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612224/2108275
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612544/2108276
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606521/2108277
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607550/2108278
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608534/2108279
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612472/2108280
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608648/2108281
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608861/2108282
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607941/2108283
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608541/2108284
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609780/2108285
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609260/2108286
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609394/2108287
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607671/2108288
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609795/2108289
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610583/2108290
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606470/2108291
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608800/2108292
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610167/2108293
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612296/2108294
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613450/2108295
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612372/2108296
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610648/2108297
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608514/2108298
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609392/2108299
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609173/2108300
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608704/2108301
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609889/2108302
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612198/2108303
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609234/2108304
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608623/2108305
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611786/2108306
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612242/2108307
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610063/2108308
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607874/2108309
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611942/2108310
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2608863/2108311
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609797/2108312
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612085/2108313
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609037/2108314
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609165/2108315
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609393/2108316
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610019/2108317
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610136/2108318
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606189/2108319
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607791/2108320
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610271/2108321
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612391/2108322
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606413/2108323
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607987/2108324
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611665/2108325
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610314/2108326
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610610/2108327
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2607807/2108328
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610368/2108329
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2606282/2108330
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611962/2108331
title: Data for EMSL Project 51287 from September 2022
DOI: 10.6073/pasta/c49758a9e539e6fe89b12ef4b8bd199e
title: Continuous hive weight, temperature and CO2 under varying conditions of hive ventilation

description: CO2, a byproduct of respiration, is toxic at high concentrations so regulation of CO2 within the honey bee hive is an important colony function. In this study, we measured hive CO2 concentrations at 1-s intervals while ventilation characteristics of the hive were changed every few days, and we analyzed the data for effects of increased ventilation on colony behavior and thermoregulation. Average CO2 concentrations were significantly higher, by &gt; 200 ppm, when hives had screened bottom boards (higher ventilation) compared to hives with solid bottom boards (lower ventilation) at the same time. Daily CO2 concentration amplitudes, hourly temperature, daily temperature amplitudes, nor hourly hive weight changes were not significantly affected by the changes in hive ventilation. In a second experiment, we found average CO2 concentrations at the top center of the upper hive box, on top of the frames, were significantly lower than concentrations at the center of a solid bottom board underneath frames, which was expected due to the higher density of CO2 relative to air. Bee colonies have been reported to cycle air, with shorter periods of 20 to 150 s and longer periods of 42–80 min, but a periodogram analysis of the CO2 concentration data found no evidence of important CO2 cycle periods other than a strong 24-h period. Bee colonies maintained strong daily cycles of CO2 concentration, with average maximum concentrations &gt; 11,000 ppm, even in conditions of increased ventilation, indicating that managing CO2 concentration is a complex colony behavior.
DOI: 10.25582/data.2022-09.2612449/2108332
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612495/2108333
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2609423/2108334
title: Data for EMSL Project 51287 from September 2022