cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5801935
title: EasyDIA a comprehensive and robust pipeline for DIA proteomics research and its application in multi-organ mouse proteomics atlas generation

description: Supplementary data of the article " EasyDIA: a comprehensive and robust pipeline for DIA proteomics research, and its application in multi-organ mouse proteomics atlas generation". Mass spectrometry-based proteomics measurement has emerged as a routine tool for detecting protein constitution and expression level change in most organisms. But till now, long-term stability, reproducibility, throughput, identification depth, multi-center consistency, robustness cannot be satisfied simultaneously by traditional proteomics method. We introduced EasyDIA pipeline with widely used commercial products, state-of-art direct DIA-PASEF method and EasyDIA software platform for data quality evaluation and bioinformatics analysis. With EasyDIA pipeline, even entry level researchers can conduct a complete proteomics experiment in less than one day. We further generated a multi-organ mouse proteomics atlas dataset in less than four days. Up to 8000 protein groups can be quantified in a single organism with only 60 minutes LC gradient. This pipeline provides a promising solution for both small-scale proteomics experiment and large-cohort clinical research.
DOI: 10.17632/n5hw5tdb6y.1
title: Landscape-land surface temperature relation in an arid hot city

description: The research hypothesis is that detailed landscape metrics when correlated with diurnal and nocturnal land surface temperature (LST) and analysed with linear regression can help identify heat reduction policies for hot arid cities.
The data show that in Africa, cities in hot arid zones are poorly investigated, that the urban-rural gradient of LST is controversial, landscape features most related to urban heat are highly variable, and that recommended policies are mainly oriented towards increasing vegetation but remain generic. In Niamey (Niger) road width, tree and shrub cover are the most correlated landscape metrics with diurnal LST. Road width is highly correlated with nocturnal LST. The other metrics are not statistically significant. The road width-nocturnal LST relationship is linear.
The dataset contains six tables and three figures. The first three tables cover (1) published studies of land surface temperature (LST) in African cities with more than 100,000 inhabitants per climate zone, (2) the main Landscape-LST dynamics observed, and (3) the policies recommended by published literature to reduce LST. Full references to the studies considered are provided. The last three tables contain data on the Landscape-LST relationship in the city of Niamey, Niger. The remaining three tables show (4) the eight landscape metrics and the average daytime and nighttime LST observed in 29 neighbourhood samples in May 2020, (5) the correlation matrix, and (6) the stepwise linear regression results are provided. The three figures represent (1) the location of the neighbourhood samples considered and (2-3) the normal probability plot of residuals.
The eight landscape metrics are collected by visual photointerpretation of very high-resolution Google Earth Pro images from May 2020. Daytime and nighttime LST are extracted from ECOSTRESS data from May 2 and 6, 2020.
This dataset can be used as a baseline against which to ascertain changes at later dates or to compare landscape features and LST with those of other cities in the same arid hot climate (Bsh, according to the Köppen-Geiger classification).
DOI: 10.17632/9jx5d4xbwt.1
title:  Pinxten WJL et all. Excellent reliability and validity of the Addiction Medicine Training Need Assessment Scale across four countries. Journal of substance abuse treatment. 2019 Apr 1;99:61-6. RAW DATA SET

description: Background: This data set was used to study the reliability and validity of the Addiction Medicine Training Need Assessment Scale across four countries: The Netherlands, Indonesia Lithuania Ireland as published in the Journal of substance abuse treatment. 2019 Apr 1;99:61-6. For a detailed explanation, we refer to the original article. 

The aim of this study was to evaluate the psychometric properties of the AM-TNA Scale. 

Methods: In a cross-sectional study in 4 countries the AM-TNA was distributed in standard training settings.  The scores of 403 respondents were used to assess the factor structure using explorative factor analysis. Reliability was tested using Cronbach's Alpha, ANOVA determined the discriminative validity.

Results: Validity: factor analysis revealed a two-factor structure: One on providing direct patient treatment and care (Factor 1: clinical) and one factor on facilitating/supporting direct patient treatment and care (Factor 2: non-clinical) AM competencies and a cumulative 76% explained variance. Reliability: Factor 1 α = 0.983 and Factor 2: α = 0.956, while overall reliability was (α = 0.986). The AM-TNA was able to differentiate training needs across groups of AM professionals on all 30 addiction medicine competencies (P = .001).

Conclusions: In our study, the AM-TNA scale had a strong two-factor structure and was proven to be a reliable and valid instrument. The next step should be testing external validity, strengthening discriminant validity and assessing the re-test effect and measuring changes over time.

Explanation of the RAW DATA Excel sheet. Colum A. ID: #2-51 NL NVV Dutch Addiction Physicians, #52-88: Psychiatry residents (except 66 and 67 psychiatrists) # 89-118: Addiction Physicians in training, #119-145 Indonesian addiction specialists (graduated Psychiatrists), # 146- 221: Indonesian addiction physicians in training, #222-290: Lithuanian Psychiatry residents following addiction specialization,  # 291-404 Irish GPs in training. Column B. 1: The Netherlands, 2: Indonesia, 3: Lithuania and 4: Ireland. Column C. 1: Male, 2 Female.  Column D and E: 2-290 age in years 1: Younger than 30 years, 2: Between 31 and 50 years 3. Older than 50 years. Column F: #2-51: all Dutch established Addiction professionals, #52-66 all Psychiatry residents, #67 and 69 psychiatrists, #69-88 AIOS Psychiatry Residents in training, #89-118 VIOS: Addiction Physicians in training, #119-145: Established Indonesian addiction professionals, #146-221 Indonesian Addiction specialist in training  (99 missing value) 1: addiction specialist, 2: Addiction specialist in training, 3: sometimes patients with SUD 4:  never work with patients with SUD, # 222-290 Psychiatrists in training,#29 1-204 Irish GP's in training. Colum G-AJ all 30 competencies scored in a Likert scale as explained in the original article Table 2.
DOI: 10.17632/643rgkftv2.1
title: A study of Notch-mediated lactate metabolism regulated myeloid cell development through Hes1/MCT2/c-Jun axis. Zhao JL et al.

description: All raw western blots and analysis data have been deposited at Mendeley data.
DOI: 10.17632/wzfwkky7ff.1
title: Supplemental Tables for Research Letter

description: Supplemental Tables for Research Letter- JAAD
DOI: 10.17632/42yy378r3x.1
title: Supplemental Figures Acne Adherence and Persistence 

description: Supplemental Figures Acne Adherence
DOI: 10.17632/td4t6y7myc.1
title: Supplemental Figures Acne Adherence

description: Acne Adherence and Persistence Data
DOI: 10.17632/chm3xr2j7v.2
title: Ketogenic diet and chemotherapy combine to disrupt pancreatic cancer metabolism and growth

description: 13C-2H isotope tracing studies reveal that the 3HB is unidirectionally oxidized to make NADH. This stands in contrast to the carbohydrate-derived carboxylic acids lactate and pyruvate which rapidly interconvert, buffering NADH/NAD. In murine pancreatic tumors, ketogenic diet decreases glucose’s concentration and TCA cycle contribution, enhances 3HB’s concentration and TCA contribution, and modestly elevates NADH, but does not impact tumor growth. In contrast, the combination of ketogenic diet and cytotoxic chemotherapy substantially raises tumor NADH and synergistically suppresses tumor growth, tripling the survival benefits of chemotherapy alone. Chemotherapy and ketogenic diet also synergize in immune-deficient mice, although long-term growth suppression was only observed in mice with an intact immune system.
DOI: 10.17632/frsfpgnsyz.1
title: A low-cost high-throughput maize phenotyping platform to study plant growth-promoting bacteria

description: The multispectral image data from Yassue et al. 2022. A low-cost greenhouse-based high-throughput phenotyping platform for genetic studies: a case study in maize under inoculation with plant growth-promoting bacteria.
DOI: 10.17632/g9kkj7xtgs.1
title: Scatozza_Facchiano_Melanoma_and_autoimmunity

description: Raw data regarding expression profiles of autoimmunity-related genes, in melanoma patients
DOI: 10.17632/vncvk4tvcz.2
title: European options risks by uncertainty theory

description: * Baoding Liu initiated 'Uncertain Finance' in 2013, and it takes into account expert belief degrees to assess financial instruments (among them, financial derivatives)  
* This dataset is linked to the working paper: 'Uncertainty and stochastic theories on European options valuation and their delta and vega risks' (details to be announced soon)
* This dataset contains: 
Experimental data and Matlab codes to compare European option prices and risks - delta and vega - under uncertainty and stochastic frameworks.
* uncertainty framework: Liu stock model (2009); stochastic framework: Black Scholes Merton model (1973)
* Go to 'Readme.txt' for detailed contents (extension files included: txt, mat, m, xlsx, eps)
* Dataset author information: 
created on Jan 1 2022
Carlos Alexander Grajales 
Universidad de Antioquia, Medellín, Colombia 
<alexander.grajales@udea.edu.co>
* this information is also  available on GitHub (linked below)
DOI: 10.17632/gw76znr8bm.1
title: Data Set for the Prize-Collecting Covering Tour Problem

description: This dataset consist of 144 test problems derived from the traveling salesman problem (TSP) accessible at the TSPLIB repository.  The PRIZE is never satisfied with the collection of merely the prizes associated with the vertices from T, in order to avoid any instance of the PCCTP from becoming an instance of the covered tour problem (CTP).

The instances were given new names based on their TSPLIB names, with extra information about the subsets R, T, and W, as well as the proportion of the total PRIZE to be collected. The instance a280_R56_T168_W56_50}, for example, contains the following properties: the total number of vertices are 280,  56 of them are optional (R), 168 are mandatory (T), 56 must be covered (W), and 50% of the total prize must me covered.
DOI: 10.17632/38sbsxt3wc.1
title: The impact of digital literacy and social presence on teachers’ acceptance of online professional development during the Covid 19 Pandemic

description: Data in CSV format for analysing using Smart PLS
DOI: 10.17632/z4wbxfw5rm.1
title: Water absorption of epoxy adhesives reinforced with amino-functionalized graphene oxide nanoparticles

description: The dataset provides experimental data on water absorption by room-temperature amine cured epoxy adhesive widely used in automotive, aerospace, construction, and marine industries. Amino-functionalized graphene oxide (mGO) nanoparticles were incorporated into the epoxy (0.34, 0.68, and 1.72 wt.%: 0.34mGO, 0.68mGO and 1.72mGO, respectively) enabled cross-linking reactions and providing high interfacial adhesion, superior reinforcement efficiency and enhanced resistance to hydrothermal ageing of nanocomposites. Samples were conditioned in distilled water at 20°C and 50 °C for 12 months. Anomalous water absorption accompanied by progressive weight loss of samples related to leaching of low molecular weight epoxy species was observed. Addition of mGO greatly contributed to the decreased diffusivity and leaching of epoxy. Data can be useful for modelling non-Fickian water diffusion in epoxy/graphene based nanocomposites.
DOI: 10.5281/zenodo.5801972
title: Data and code for "Relationships between aboveground plant traits and carbon cycling in tundra plant communities"

description: <strong>Paper</strong> See the preprint for more detailed description of the performend analyses here. <strong>Description of subdirectories</strong> The structure of this repository loosely follows that recommended by Wilson et al. 2017. <em>docs</em> Contains data documentation and metadata. <em>data</em> Holds raw, unedited data <em>src</em> Contains analysis scripts. The src/new_analyses.R script generates all the figures for this project. The other scripts prepare the data for analysis, and must be run before src/new_analyses.R <em>results</em> Contains all analysis results, cleaned, analysis-ready data, figures, etc. Some of the figures (such as measurement schematics) have been generated by hand, and are thus not linked to any scripts.
DOI: 10.5281/zenodo.3708053
title: Data and code for "Relationships between aboveground plant traits and carbon cycling in tundra plant communities"

description: <strong>Paper</strong> See the preprint for more detailed description of the performend analyses here. <strong>Description of subdirectories</strong> The structure of this repository loosely follows that recommended by Wilson et al. 2017. <em>docs</em> Contains data documentation and metadata. <em>data</em> Holds raw, unedited data <em>src</em> Contains analysis scripts. The src/new_analyses.R script generates all the figures for this project. The other scripts prepare the data for analysis, and must be run before src/new_analyses.R <em>results</em> Contains all analysis results, cleaned, analysis-ready data, figures, etc. Some of the figures (such as measurement schematics) have been generated by hand, and are thus not linked to any scripts.
DOI: 10.6084/m9.figshare.17430305
title: Subsurface Temperature-based Monthly Gulf Stream Index using EN4 dataset

description: The Gulf Stream Index is calculated as the standardized first principal component time series from the empirical orthogonal function (EOF) analysis of the 200 m temperature time series from the EN4.2.1 dataset at the 20 base points, as detailed in <i>Chen et al. </i>[2021].
DOI: 10.5287/bodleian:xvekbqvpm
title: Data relating to "The effects of rapid yawing on simple swimmer models and planar Jeffery’s orbits"
DOI: 10.5281/zenodo.5801946
title: Eupsittula cactorum decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5801945
title: Eupsittula cactorum decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/2961998
title: Cryptocurrency extra data - Ethereum
DOI: 10.21227/xyym-st96
title: Dual-reference samples

description: These dataset samples are produced by the DRTI system proposed by the paper "Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution"
DOI: 10.6084/m9.figshare.17430485
title: NOVEL_English_19C

description: Collection of canonical nineteenth-century novels written in English.
DOI: 10.15156/bio/sh2908513.08fu
title: SH2908513.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908514.08fu
title: SH2908514.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908515.08fu
title: SH2908515.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908516.08fu
title: SH2908516.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908517.08fu
title: SH2908517.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908518.08fu
title: SH2908518.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908519.08fu
title: SH2908519.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2908520.08fu
title: SH2908520.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.