cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jfcjkxwnxb.3
title: new packings

description: This dataset includes some new packings,  packings in a unit square  and  packings on a unit sphere in 5 dimensions.
A check program is also included, which can be used to compute the minimum pairwise distance for any point set.
See details in readme.pdf
DOI: 10.17632/wbpz95d3p2.1
title: Rooftop PV data

description: 30 minute aggregate rooftop solar PV output for the state of Queensland, Australia. Dates: 1/7/2019 to 30/6/2021, 7am to 5pm daily.
DOI: 10.17632/4jt4nbmjsf.1
title: Dataset for the Yunzhug ophiolite

description: Table S1. Whole-rock major (wt.%) and trace (ppm) element compositions of the basalts, diabases and dated gabbros from the Yunzhug ophiolite.
Table S2. Zircon U-Pb ages and Hf-O isotopic compositions for two gabbroic rocks from the Yunzhug ophiolite.
Table S3. A compilation of zircon U-Pb ages for the ophiolites from the Bangong-Nujiang and Shiquanhe-Yunzhug-Namco sutures.
DOI: 10.17632/4jt4nbmjsf.2
title: Dataset for the Yunzhug ophiolite

description: Table S1. Whole-rock major (wt.%) and trace (ppm) element compositions of the basalts, diabases and dated gabbros from the Yunzhug ophiolite.
Table S2. Zircon U-Pb ages and Hf-O isotopic compositions for two gabbroic rocks from the Yunzhug ophiolite.
Table S3. A compilation of zircon U-Pb ages for the ophiolites from the Bangong-Nujiang and Shiquanhe-Yunzhug-Namco sutures.
DOI: 10.17632/s3yyxhczs3.1
title: De-erosion of X-chromosome dosage compensation by the editing of XIST regulatory regions restores the differentiation potential in hPSCs. Motosugi et al.

description: Gene expression data in scRNA-seq.
DOI: 10.17632/d3gzygskyx.1
title: Data set of digital leadership in Malaysia

description: The digital leadership  data was collected  among pincipals in Malaysia.
DOI: 10.17632/yv77f9bn66.1
title: Dataset on Physicochemical Properties, Microbiological Quality and Shelf Life Prediction of Solar Dried Mangoes and Pineapples in Tanzania.

description: This Data in Brief article provides four tables, three figures, and their raw data (as supplementary material). Table 2 is about physicochemical characteristics which correspond to raw data (S1). Table 3 presents the mean microbial load of dried mango and pineapple samples from two different dryers before storage, Figure 5 (a-c) presents variations in total plate count and fungi in dried fruits between different packaging materials in each drying method, Figure. 6 (a-d) presents microbial loads (log10 CFU g-1) in dried fruits as a function of storage period at 28 °C. Table 4 presents a comparison between the kinetic reaction orders, Table 5 presents regression equations, coefficient of determination (R2) values and estimated shelf lives of dried samples from different drying methods and in packaging materials stored at 28 °C and Figure 7 presents a Bi-plot from principal component analysis of average physicochemical parameters, microbial loads and shelf life of dried fruits processed using different drying methods. All of them correspond to raw data (S 2).
DOI: 10.17632/yv77f9bn66.2
title: Dataset on Physicochemical Properties, Microbiological Quality and Shelf Life Prediction of Solar Dried Mangoes and Pineapples in Tanzania.

description: This Data in Brief article provides four tables, three figures, and their raw data (as supplementary material). Table 2 is about physicochemical characteristics which correspond to raw data (S1). Table 3 presents the mean microbial load of dried mango and pineapple samples from two different dryers before storage, Figure 5 (a-c) presents variations in total plate count and fungi in dried fruits between different packaging materials in each drying method, Figure. 6 (a-d) presents microbial loads (log10 CFU g-1) in dried fruits as a function of storage period at 28 °C. Table 4 presents a comparison between the kinetic reaction orders, Table 5 presents regression equations, coefficient of determination (R2) values and estimated shelf lives of dried samples from different drying methods and in packaging materials stored at 28 °C and Figure 7 presents a Bi-plot from principal component analysis of average physicochemical parameters, microbial loads and shelf life of dried fruits processed using different drying methods. All of them correspond to raw data (S 2).
DOI: 10.17632/skzrjhh86r.1
title: Dataset on the effect of spiritual leadership practices of headmaster on job satisfaction of elementary school teachers

description: This dataset tests the reliability and validity of the effect of leadership practices of headmaster on job satisfaction of elementary school teachers.
DOI: 10.6084/m9.figshare.21552732
title: 1kg

description: European 1000 Genome Phase 3 dataset with duplicate individuals removed and after quality control. Uploaded Nov 14, 2022
DOI: 10.17632/hmr9pfn8gh.1
title: Road to Crime: Expressway Connections and Child Trafficking

description: Codes for review process, please do not distribute or use them.
Besides self-collected data put in the folder, we use the Annual Survey of Industrial Firms (ASIF) dataset from 1999 to 2014 and the China Family Panel Studies (CFPS) from 2010 to 2014. As we could not upload them here, please refer to the original data source for assistance.
DOI: 10.17632/xdx4r4jwxy.1
title: Screening of Rhizosphere Nitrogen Fixing, Phosphorus and Potassium Solubilizing Bacteria of Malus sieversii (Ldb.) Roem. 

description: Eight populations of organic phosphorus solubilizing bacteria (oPSB) (56), inorganic phosphorus solubilizing bacteria (iPSB) (13), NFB (22), and KSB (24) were isolated from eight populations of Xinjiang wild apple rhizosphere in Ili by medium culture.  Their morphological characteristics were recorded and their activity was determined.The L16 (45) orthogonal experiment, which used the three strains as testing materials, was created to assess the effects of the strains on apple physiological indicators, soil nutrients, leaf nutrients, and biomass, as well as to identify the ideal combination, concentration, timing, and application method.
DOI: 10.17632/sn5wczn73j.1
title:  Precipitate Size in GRCop-42 and GRCop-84 Cu-Cr-Nb Alloy Gas Atomized Powder and L-PBF Additively Manufactured Material

description: Laser Powder Bed Fusion (L-PBF of Glenn Research Copper 42 or 84 (GRCop-42 or GRCop-84), a Cr2Nb precipitation-hardened high conductivity copper alloy, with tensile strength superior to other competing copper alloys. Precipitate diameters within GRCop-42 gas-atomized powder increased with powder diameter due to slower cooling rates, however unlike GRCop-84, no threshold diameter above which extensive precipitate agglomerations form was observed in GRCop-42. Large Cr2Nb crystals were observed in GRCop-42 powder particles implying formation within the crucible melt. A Consistent precipitate volume of ~7% over a range of powder particle diameters indicated a consistent atomization process. Occasional voids were observed in GRCop-42 powder. Precipitate size was refined in L-PBF GRCop-42 to a greater extent than in GRCop-84 improving Orowan strengthening, however this benefit was lost after heat treatment due to greater coarsening of precipitates. Precipitates in GRCop-42 accumulated on grain boundaries during heat treatment to a greater extent than in GRCop-84.
DOI: 10.17632/wv4mzf4wjz.1
title: Hyaluronidase data

description: The data here are raw and processed data files for hyaluronidase characterization after peripheral nerve injury. The raw data are illustrated as individual sample IDs that are further compiled and processed into their respective groups (time points).
DOI: 10.17632/6t2gwmd6hs.1
title: Photocatalytic dye degradation by recyclable Zn-Co Magnetic Ferrites at ambient conditions

description: Supporting Information
DOI: 10.17632/64shh39z76.1
title: scRNAseq data for Filaggrin deficiency in mice alters the early life CD4+ T cell response to skin commensal bacteria Gonzalez et al

description: Filaggrin deficiency in mice alters the early life CD4+ T cell response to skin commensal bacteria

Filaggrin mutations underlie ichthyosis vulgaris and increased risk of atopic dermatitis, conditions typified by disruption of the skin microbiome and cutaneous immune response. Yet, it remains unclear if neonatal skin barrier compromise due to filaggrin deficiency alters the quality of commensal-specific T cells and the functional impact of such responses. To address these questions, we profiled changes in the skin barrier and early cutaneous immune response of neonatal C57BL/6 Flg-/- and WT mice using scRNAseq, flow cytometry and other modalities. Flg-/- neonates showed little alteration in transepidermal water loss or lipid or corneocyte related gene expression. However, they demonstrated increases in barrier disruption genes, epidermal dye penetration and numbers of skin CD4+ T cells. Using an engineered strain of Staphylococcus epidermidis (S. epi-2W) to study the response to neonatal skin colonization, we found that commensal-specific CD4+ T cells were skewed in Flg-/- pups towards effector rather than regulatory T cells. This altered response persisted into adulthood, where it was typified by Th17 cells and associated with increased susceptibility to imiquimod-induced skin inflammation. Thus, subtle but impactful differences in neonatal barrier function in Flg-/- mice are accompanied by a skewed commensal-specific CD4+ response, with enduring consequences for skin immune homeostasis.

Our goal was to analyze epidermal subsets in the skin of neonatal wildtype and filaggrin deficient mice colonized with Staphylococcus epidermidis

Mice were colonized with Staphylococcus epidermidis D7/10 of life, harvested D12. Skin was harvested and digested with trypsin to enrich for epidermal cells before single cell RNAseq was performed. JRG01 is cells from WT mice and JRG02 is cells from Flg-/- (filaggrin KO) mice . 

Specs: mRNA, paired-end, NovaSeq 6000, Paired end (28,8,0,91) cycling condition, S2 flowcell Novaseq 6000 version1.5 kit, Chromium Single Cell 3' Reagent Kits V3, Cell Ranger v 3.0.2, mm10
10x Genomics output files: barcodes.tsv.gz, features.tsv.gz, matrix.mtx.gz
DOI: 10.17632/snwbkvg6tc.1
title: Ket River and tributaries hydrochemistry, CO2 concentration and landscape parameters

description: Primary data for the article
Lim, A.G., Krickov, I.V., Vorobyev, S.N., Korets, M.A., Kopysov, S.G., Shirokova, L.S., Karlsson, J., Pokrovsky, O.S., 2022. Carbon emission and export from Ket River, western Siberia. EGUsphere Prepr. https://doi.org/10.5194/egusphere-2022-485.
DOI: 10.5281/zenodo.7319913
title: Balancing selection at a wing pattern locus is associated with major shifts in genome-wide patterns of diversity and gene flow

description: Selection shapes genetic diversity around target mutations, yet little is known about how selection on specific loci affects the genetic trajectories of populations, including their genome-wide patterns of diversity and demographic responses. Here we study the patterns of genetic variation and geographic structure in a neotropical butterfly, <em>Heliconius numata</em>, and its closely related allies in the so-called melpomene-silvaniform clade. <em>H. numata</em> is known to have evolved an inversion supergene which controls variation in wing patterns involved in mimicry associations with distinct groups of co-mimics. Butterflies show disassortative mate preferences and heterozygote advantage at this locus. We contrasted patterns of genetic diversity and structure 1) among extant polymorphic and monomorphic populations of <em>H. numata</em>, 2) between <em>H. numata</em> and its close relatives, and 3) between ancestral lineages. We show that <em>H. numata</em> populations which carry the inversions as a balanced polymorphism show markedly distinct patterns of diversity compared to all other taxa. They show the highest genetic diversity and effective population size estimates in the entire clade, as well as a low level of geographic structure and isolation by distance across the entire Amazon basin. By contrast, monomorphic populations of <em>H. numata</em> as well as its sister species and their ancestral lineages all show lower effective population sizes and genetic diversity, and higher levels of geographical structure across the continent. One hypothesis is that the large effective population size of polymorphic populations could be caused by the shift to a regime of balancing selection due to the genetic load and disassortative preferences associated with inversions. Testing this hypothesis with forward simulations supported the observation of increased diversity in populations with the supergene. Our results are consistent with the hypothesis that the formation of a supergene triggered a change in gene flow, causing a general increase in genetic diversity and the homogenisation of genomes at the continental scale.
description: {"references": ["Balancing selection at a wing pattern locus is associated with major shifts in genome-wide patterns of diversity and gene flow in a butterfly Mar\u00eda \u00c1ngeles Rodr\u00edguez de Cara, Paul Jay, Quentin Rougemont, Mathieu Chouteau, Annabel Whibley, Barbara Huber, Florence Piron-Prunier, Renato Rogner Ramos, Andr\u00e9 V. L. Freitas, Camilo Salazar, Karina Lucas Silva-Brand\u00e3o, Tatiana Texeira Torres, Mathieu Joron bioRxiv 2021.09.29.462348; doi: https://doi.org/10.1101/2021.09.29.462348"]}
DOI: 10.5281/zenodo.7319912
title: Balancing selection at a wing pattern locus is associated with major shifts in genome-wide patterns of diversity and gene flow

description: Selection shapes genetic diversity around target mutations, yet little is known about how selection on specific loci affects the genetic trajectories of populations, including their genome-wide patterns of diversity and demographic responses. Here we study the patterns of genetic variation and geographic structure in a neotropical butterfly, <em>Heliconius numata</em>, and its closely related allies in the so-called melpomene-silvaniform clade. <em>H. numata</em> is known to have evolved an inversion supergene which controls variation in wing patterns involved in mimicry associations with distinct groups of co-mimics. Butterflies show disassortative mate preferences and heterozygote advantage at this locus. We contrasted patterns of genetic diversity and structure 1) among extant polymorphic and monomorphic populations of <em>H. numata</em>, 2) between <em>H. numata</em> and its close relatives, and 3) between ancestral lineages. We show that <em>H. numata</em> populations which carry the inversions as a balanced polymorphism show markedly distinct patterns of diversity compared to all other taxa. They show the highest genetic diversity and effective population size estimates in the entire clade, as well as a low level of geographic structure and isolation by distance across the entire Amazon basin. By contrast, monomorphic populations of <em>H. numata</em> as well as its sister species and their ancestral lineages all show lower effective population sizes and genetic diversity, and higher levels of geographical structure across the continent. One hypothesis is that the large effective population size of polymorphic populations could be caused by the shift to a regime of balancing selection due to the genetic load and disassortative preferences associated with inversions. Testing this hypothesis with forward simulations supported the observation of increased diversity in populations with the supergene. Our results are consistent with the hypothesis that the formation of a supergene triggered a change in gene flow, causing a general increase in genetic diversity and the homogenisation of genomes at the continental scale.
description: {"references": ["Balancing selection at a wing pattern locus is associated with major shifts in genome-wide patterns of diversity and gene flow in a butterfly Mar\u00eda \u00c1ngeles Rodr\u00edguez de Cara, Paul Jay, Quentin Rougemont, Mathieu Chouteau, Annabel Whibley, Barbara Huber, Florence Piron-Prunier, Renato Rogner Ramos, Andr\u00e9 V. L. Freitas, Camilo Salazar, Karina Lucas Silva-Brand\u00e3o, Tatiana Texeira Torres, Mathieu Joron bioRxiv 2021.09.29.462348; doi: https://doi.org/10.1101/2021.09.29.462348"]}
DOI: 10.6073/pasta/5af826cca72f2aeb9ae8ccc41b221bad
title: North Temperate Lakes LTER: Macrophyte Biomass - Madison Lakes Area 1995 - current

description: Aquatic macrophytes are sampled from a boat at stations located at depths from 1 to 4 meters at 0.5-m intervals along transects perpendicular to the lake shoreline of the four primary study lakes in the Madison area (Lakes Mendota, Monona, and Wingra, and Fish Lake) from June to August. A weighted, double-headed garden rake is cast off the front left, front right, rear left, and rear right of the boat and then dragged approximately 2 meters across the bottom by means of an attached line. For each rake cast, the total amount of filamentous algae and aquatic macrophyte species present is assigned a density rating from 0-5 based on the extent of coverage of the upper rake head. Determination of extent of coverage involves judgment of the surveyor as to the number of rake teeth and area of teeth covered. Ratings from the 4 rake casts at each station can be averaged to compute an overall density rating for the station In addition, the total plant mass and the total filamentous algae mass in each tow is measured. To the maximum extent possible, water is squeezed from the plants to minimize the amount of water present in the final weight. Weights are recorded in the boat using field scales. Weights from the 4 rake casts at each station can be averaged to compute overall average weights for plant mass and for filamentous algae mass at the station. A related data set (Macrophyte Rating --- Madison Lakes Area), contains rake ratings for individual macrophyte species. For each rake cast, filamentous algae and any aquatic macrophyte species present are assigned a density rating from 0-5 based on the extent of coverage of the upper rake head. Determination of extent of coverage involves judgment of the surveyor as to the number of rake teeth and area of teeth covered by each species. It is necessary to separate plants to assess individual species coverage. Ratings from the 4 rake casts at each station can be averaged to compute an overall density rating for each species found at the station. Sampling Frequency: annually during summer Number of sites: 4 Please consult NTL's website for information on experimental lake manipulations and the DNR's website for management activities
DOI: 10.17632/8w3yh5dwx7.1
title: Increased soluble HLA in COVID-19 present a disease-related, diverse immunopeptidome associated with T cell immunity. Nelde et al.

description: This repository contains the supplemental data for the paper "Increased soluble HLA in COVID-19 present a disease-related, diverse immunopeptidome associated with T cell immunity" by Nelde et al.

Data S1: Functional enrichment annotation of the HLA-presented source proteins in the COVID-19 and control cohort. This data includes the results of the functional enrichment annotation of the HLA-presented source proteins for HLA class I and HLA class II in the COVID-19 and control cohort.
DOI: 10.17632/yw3vr9z7xw.1
title: date 1

description: These findings demonstrated that C3G exerted beneficial effects through improving diabetic features by promotion of GLP-1 secretion and modulation of the gut microbiota.
DOI: 10.17632/35tfs6y2nt.1
title: raw data

description: Data collection and writing manuscript
DOI: 10.17632/ppv9kkrnvg.1
title: Grounded in self-determination theophysical activities related perception and self-determination of Turkish adolescents.

description: PARENTAL INFLUENCE ON TURKISH ADOLESCENTS’ PHYSICAL ACTIVITY INVOLVEMENT AND ACTIVITY SATISFACTION
DOI: 10.17632/pmrwbghxys.1
title: Dubai Temperature Dataset 2017 - 2019

description: This dataset presents a monthly temperature data set for the city of Dubai from May 2017 to December 2019.
DOI: 10.17632/yr386w6xgb.1
title: Monthly Electricity Consumption with Exogenous Factors

description: This dataset presents the monthly electricity consumption forecasting dataset on the community level of the city of Dubai from May 2017 – December 2019 that includes exogenous parameters, namely, temperature, population, number of buildings, expatriate ratio, number of connected customers, and building occupancy.
DOI: 10.6084/m9.figshare.21379855
title: Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning

description: Recent advances in mobile health (mHealth) technology provide an effective way to monitor individuals’ health statuses and deliver just-in-time personalized interventions. However, the practical use of mHealth technology raises unique challenges to existing methodologies on learning an optimal dynamic treatment regime. Many mHealth applications involve decision-making with large numbers of intervention options and under an infinite time horizon setting where the number of decision stages diverges to infinity. In addition, temporary medication shortages may cause optimal treatments to be unavailable, while it is unclear what alternatives can be used. To address these challenges, we propose a Proximal Temporal consistency Learning (pT-Learning) framework to estimate an optimal regime that is adaptively adjusted between deterministic and stochastic sparse policy models. The resulting minimax estimator avoids the <i>double sampling</i> issue in the existing algorithms. It can be further simplified and can easily incorporate off-policy data without mismatched distribution corrections. We study theoretical properties of the sparse policy and establish finite-sample bounds on the excess risk and performance error. The proposed method is provided in our proximalDTR package and is evaluated through extensive simulation studies and the OhioT1DM mHealth dataset. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.21379855.v1
title: Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning

description: Recent advances in mobile health (mHealth) technology provide an effective way to monitor individuals’ health statuses and deliver just-in-time personalized interventions. However, the practical use of mHealth technology raises unique challenges to existing methodologies on learning an optimal dynamic treatment regime. Many mHealth applications involve decision-making with large numbers of intervention options and under an infinite time horizon setting where the number of decision stages diverges to infinity. In addition, temporary medication shortages may cause optimal treatments to be unavailable, while it is unclear what alternatives can be used. To address these challenges, we propose a Proximal Temporal consistency Learning (pT-Learning) framework to estimate an optimal regime that is adaptively adjusted between deterministic and stochastic sparse policy models. The resulting minimax estimator avoids the <i>double sampling</i> issue in the existing algorithms. It can be further simplified and can easily incorporate off-policy data without mismatched distribution corrections. We study theoretical properties of the sparse policy and establish finite-sample bounds on the excess risk and performance error. The proposed method is provided in our proximalDTR package and is evaluated through extensive simulation studies and the OhioT1DM mHealth dataset. Supplementary materials for this article are available online.
DOI: 10.17632/2khxszjkdz.1
title: Monthly Electricity Consumption with Exogenous Factors

description: This dataset presents the monthly electricity consumption forecasting dataset on the community level of the city of Dubai from May 2017 – December 2019 that includes exogenous parameters, namely, temperature, population, number of buildings, expat ratio, number of connected customers, and building occupancy.