cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/c7e2a63a-9699-4d7c-9cbb-9ac443400033.v2
title: Data underlying the manuscript: An eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation: a randomised controlled feasibility study.

description: This data repository contains the research data from the study: An eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation: a randomised controlled feasibility study. The research was carried out between February 2023 and September 2023.<br>This study employed a mixed methods randomized controlled feasibility approach, targeting low SEP patients eligible for CR, dividing them into an intervention group, which received an eHealth intervention, and a control group, which underwent the standard waiting period. The study assessed feasibility through adherence (using usage metrics) and acceptance (using a modified USE questionnaire), along with the intervention's effect on participants' certainty and guidance through a self-designed CGQ, complemented by semi-structured interviews for qualitative insights. Non-parametric statistical. The CGQ's effect analysis involved Wilcoxon rank-sum, Mann-Whitney U, and Spearman's rank correlation tests. The ATLAS.ti software was used for qualitative analysis.The dataset includes the study protocol, participant consent forms, questionnaires for research data collection, an interview guide, quantitative data files, and R scripts for data analysis, alongside a presentation file for initial participant meetings. Other files address the ethics approval, consent form, questionnaire, and semi-structured interview guide. Privacy-sensitive information have been excluded for confidentiality.The study is registered at ClinicalTrials.gov (NCT05698121) and received ethical approval from the Medisch Ethische Toetsings Commissie of the Erasmus Medical Centre (approval number MEC-2022-0483).
DOI: 10.15129/3b01a6c6-2efd-424a-b8b8-5fe7fa445ded
title: Plegma Dataset

description: The Plegma dataset provides whole-house aggregate loads and appliance-level consumption measurements at 10-second intervals from 13 different households over a period of one year.
It also includes environmental data such as humidity and temperature, building characteristics, demographic information, and user practices routines to enable quantitative as well as qualitative analysis.

Plegma is the first high-frequency electricity measurements dataset in Greece, capturing the consumption behavior of people in the Mediterranean area who use devices not commonly included in other datasets, such as AC and electric-water boilers.

The dataset comprises 218 million readings from 88 installed meters and sensors.
The collected data are cleaned to handle missing data and invalid measurements, and they are available in comma-separated values (CSV) format.
DOI: 10.5281/zenodo.10791410
title: Figure S4: MW weight of gels [FINAL]
DOI: 10.5281/zenodo.10791411
title: Figure S4: MW weight of gels [FINAL]
DOI: 10.5281/zenodo.10470981
title: Polarisation camera dSTORM datasets of actin in fixed HeLa cells labeled with phalloidin-Alexa Fluor 488

description: Polarisation camera dSTORM dataset of the actin of fixed HeLa cells labeled with phalloidin-Alexa Fluor 488.

Image acquisition was performed as follows:

Imaging was performed on a widefield microscope equipped with a polarisation camera (CS505MUP, Thorlabs). The sample was excited using a 488 nm laser at quasi-TIRF, with a measured power density at the image plane of 5.04 kW/cm^2. A single long-pass dichroic (Di02-R488, Semrock) was used to seperate fluorescence from the excitation. The emission was filtered using a long-pass (BLP01-488R, Semrock) and a bandpass filter (FF01-582/64, Semrock) before detection. An exposure time of 30 ms was used.

Samples were prepared as follows:

Cell culture: HeLa TDS cells were cultured in DMEM (Gibco, Invitrogen) supplemented with 10 % Fetal Bovine Serum (FBS, Life Technologies), 1 % penicillin/streptomycin (Life Technologies), and 1 % glutamine (Life Technologies) at 37 °C + 5 % CO_2. Cells were periodically tested for mycoplasma contamination and passaged 3 times per week. Cells were plated at low density on high-precision glass coverslips (MatTek, P35G-0.170-14-C) 1 day prior to fixation for dSTORM experiments.

Labeling: Cells were simultaneously fixed and permeabilized in cytoskeleton buffer (CBS, 10 mM MES, 138 mM KCl, 3 mM MgCl_2, 2 mM EGTA, 4.5 % sucrose w/v, pH 7.4), + 4 % paraformaldehyde (PFA) and 0.2 % Triton for 6 minutes at 37 °C, and further fixed in CBS + 4 % PFA for 14 minutes at 37 °C. Post-fixation, cells were washed x3 in PBST (PBS supplemented with 0.1 % Tween) and permeabilized a second time in PBS + 0.5 % Triton for 5 minutes at room temperature. The samples were then washed 3 times in PBST and blocked for 30 minutes in 5 % BSA. Cells were washed x3 in PBST and then incubated with Alexa Fluor™ 488 Phalloidin (A12379, Invitrogen, 1:50 in PBS) for 1 h in the dark, followed by x2 washes in PBS. Prior to dSTORM imaging, PBS was replaced with dSTORM imaging buffer (base buffer consisting of 0.56 M glucose, 50 mM Tris (pH 8.5), and 10 mM NaCl supplemented with 5 U/mL pyranose oxidase (Sigma, P4234), 10 mM cysteamine (Sigma, 30070), 40 µg/mL catalase (Sigma, C100) and 2 mM cyclooctatetraene (Sigma, 138924).
DOI: 10.6084/m9.figshare.25429204
title: Diabetes 130-US hospitals for years 1999-2008 Data Set Raw

description: http://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008Details: https://github.com/theislab/ehrapy-datasetsThis is the original diabetic_data.csv file downloaded from the above link on 18 Mar 2024 under a CC BY 4.0 License.It is stored here for convenience of ehrapy users.
DOI: 10.6084/m9.figshare.25429276
title: Diabetes 130-US hospitals for years 1999-2008 Data Set Fairlearn

description: Preprocessed version available from https://fairlearn.org/v0.10/api_reference/generated/fairlearn.datasets.fetch_diabetes_hospital.html, downloaded using this fairlearn functionality on the above link on 15 Mar 2024.It is stored here for convenience of ehrapy users.
DOI: 10.5281/zenodo.10830273
title: chain_LCDM-BBN_GCspectro_MH_b1_b2_bG2_bG3_c0_c2_c4_aP_fout
DOI: 10.5281/zenodo.10830274
title: chain_LCDM-BBN_GCspectro_MH_b1_b2_bG2_bG3_c0_c2_c4_aP_fout
DOI: 10.25403/upresearchdata.25399267
title: Advancing lattice data techniques using multiscale decomposition : simulations and applications

description: The supporting material includes figures and tables of the work where spatial lattice techniques and methods were developed to detect and predict spatial hotspots. The multiscale decomposition algorithm, the Discrete pulse transform, is first extended to irregular lattice data to detect hotspots in spatial lattice data. Thereafter the variogram estimation (adopted from geostatistical analysis) is extended to spatial lattice data which is then utilized in a Geographically and temporally weighted regression spatio-temporal kriging method to predict spatial hotspots.
DOI: 10.25403/upresearchdata.25399267.v1
title: Advancing lattice data techniques using multiscale decomposition : simulations and applications

description: The supporting material includes figures and tables of the work where spatial lattice techniques and methods were developed to detect and predict spatial hotspots. The multiscale decomposition algorithm, the Discrete pulse transform, is first extended to irregular lattice data to detect hotspots in spatial lattice data. Thereafter the variogram estimation (adopted from geostatistical analysis) is extended to spatial lattice data which is then utilized in a Geographically and temporally weighted regression spatio-temporal kriging method to predict spatial hotspots.
DOI: 10.6084/m9.figshare.25429312
title: Database

description: Google searches of sensitive terms
DOI: 10.6084/m9.figshare.25429093
title: <b>test</b>

description: test
DOI: 10.6084/m9.figshare.25429093.v3
title: <b>test</b>

description: test
DOI: 10.6084/m9.figshare.25429093.v2
title: <b>Maternal gut microbiota programs stem cell functions in the offspring</b>

description: The maternal-microbiome influences child health. However, its impact on offspring’s stem cells, which regulate development, remains poorly understood. To investigate the role of maternal-microbiome in conditioning the offspring’s stem cells, we manipulated maternal-microbiota using Akkermansia muciniphila. Different maternal-microbiomes had distinct effects on proliferation and differentiation of stem cells in the offspring's gut and brain, influencing their developmental-trajectory and long-term health. Transplantation of altered maternal-microbiota into germ-free mice transmitted these stem cell-phenotypes to the recipients’ offspring. Progeny of germ-free mice selectively-colonized with Akkermansia did not display these stem cell traits, emphasizing the importance of microbiome diversity. Metabolically more active maternal-microbiomes enriched the levels of circulating SCFAs and amino acids leaving distinct transcriptomic imprints on the mTOR-pathway of offspring’s stem cells. Blocking mTOR-signaling during pregnancy eliminated the maternal-microbiome-mediated effects on stem cells. These results suggest a fundamental role of maternal-microbiome in programming offspring’s stem cells and represents a promising target for interventions.
DOI: 10.6084/m9.figshare.24954852
title: STAGE_Data&Code

description: Data and code for manuscript titled "STAGE: A Space-Time Constrained Multi-Task Generative Adversarial Network (GAN) for Trajectory Generation".
DOI: 10.6084/m9.figshare.24954852.v2
title: STAGE_Data&Code

description: Data and code for manuscript titled "STAGE: A Space-Time Constrained Multi-Task Generative Adversarial Network (GAN) for Trajectory Generation".
DOI: 10.6084/m9.figshare.24954852.v3
title: STAGE_Data&Code

description: Data and code for manuscript titled "STAGE: A Space-Time Constrained Multi-Task Generative Adversarial Network (GAN) for Trajectory Generation".
DOI: 10.14473/csda/qzrfuj
title: Předvolební výzkumy pro volby do PS 2013 – Karlovarský kraj

description: Předvolební výzkumy před volbami do PS 2013 ve všech krajích ČR pro Českou televizi realizovaly společnosti Median a Stem/Mark. Hlavním výstupem byl tzv. volební potenciál v kraji, jehož výsledky sloužily k nominaci hostů do předvolebních debat ČT. Součástí dotazníku bylo i několik krajsky specifických tematických otázek.
DOI: 10.14473/csda/ubscag
title: Předvolební výzkumy pro volby do PS 2013 – Liberecký kraj

description: Předvolební výzkumy před volbami do PS 2013 ve všech krajích ČR pro Českou televizi realizovaly společnosti Median a Stem/Mark. Hlavním výstupem byl tzv. volební potenciál v kraji, jehož výsledky sloužily k nominaci hostů do předvolebních debat ČT. Součástí dotazníku bylo i několik krajsky specifických tematických otázek.
DOI: 10.14473/csda/t5qchg
title: Předvolební výzkumy pro volby do PS 2013 – Pardubický kraj

description: Předvolební výzkumy před volbami do PS 2013 ve všech krajích ČR pro Českou televizi realizovaly společnosti Median a Stem/Mark. Hlavním výstupem byl tzv. volební potenciál v kraji, jehož výsledky sloužily k nominaci hostů do předvolebních debat ČT. Součástí dotazníku bylo i několik krajsky specifických tematických otázek.
DOI: 10.5281/zenodo.10830504
title: 16S And WGS Feature Tables: Tryptophan Metabolites And Their Predicted Microbial Sources In Fecal Samples Of Healthy Individuals

description: The zip file contains 16S and WGS feature tables used in the following publication:

Tryptophan Metabolites And Their Predicted Microbial Sources In Fecal Samples Of Healthy IndividualsCynthia L. Chappell, Kristi L. Hoffman, Philip L. Lorenzi, Lin Tan, Joseph F. Petrosino, Richard A. Gibbs, Donna M. Muzny, Harsha Doddapaneni, Matthew C. Ross, Vipin K. Menon, Anil Surathu, Sara J. Javornik Cregeen, Anaid G. Reyes, Pablo C. Okhuysen bioRxiv 2023.12.20.572622; doi: https://doi.org/10.1101/2023.12.20.572622
DOI: 10.5281/zenodo.10830505
title: 16S And WGS Feature Tables: Tryptophan Metabolites And Their Predicted Microbial Sources In Fecal Samples Of Healthy Individuals

description: The zip file contains 16S and WGS feature tables used in the following publication:

Tryptophan Metabolites And Their Predicted Microbial Sources In Fecal Samples Of Healthy IndividualsCynthia L. Chappell, Kristi L. Hoffman, Philip L. Lorenzi, Lin Tan, Joseph F. Petrosino, Richard A. Gibbs, Donna M. Muzny, Harsha Doddapaneni, Matthew C. Ross, Vipin K. Menon, Anil Surathu, Sara J. Javornik Cregeen, Anaid G. Reyes, Pablo C. Okhuysen bioRxiv 2023.12.20.572622; doi: https://doi.org/10.1101/2023.12.20.572622
DOI: 10.14473/csda/6phcou/3lgaub
title: 04_VYS kraj - volby do PS 2013_data_opr.tab

description: Data_CSDA00184
DOI: 10.14473/csda/6phcou/lhbujo
title: OM_CSDA00181-CSDA00194.pdf

description: Ostatní informace_CSDA00181-CSDA00194
DOI: 10.14473/csda/6phcou/usw90n
title: D_CSDA00184_vysocina.pdf

description: Dotazník_CSDA00184_vysocina
DOI: 10.14473/csda/6phcou/vjlqdq
title: D_CSDA00181-CSDA00194.pdf

description: Dotazník_CSDA00181-CSDA00194
DOI: 10.14473/csda/6phcou
title: Předvolební výzkumy pro volby do PS 2013 – Vysočina

description: Předvolební výzkumy před volbami do PS 2013 ve všech krajích ČR pro Českou televizi realizovaly společnosti Median a Stem/Mark. Hlavním výstupem byl tzv. volební potenciál v kraji, jehož výsledky sloužily k nominaci hostů do předvolebních debat ČT. Součástí dotazníku bylo i několik krajsky specifických tematických otázek.
DOI: 10.14473/csda/6phcou/axqwl0
title: TI_CSDA00181-CSDA00194.pdf

description: Technická informace_CSDA00181-CSDA00194
DOI: 10.17632/t9r3v3h8hs.1
title: Agromorphological characteristics of Irvingia gabonensis (aubry-lecomte ex o'rorke) baill. (Wild mango) and Theobroma cacao L. in traditional agroforestry systems

description: Cocoa farming has grown exponentially, reaching over 4 million ha of cultivated land. The predominant expansion of cocoa farming from east to west has led to the degradation of the forest landscape. Today, the restoration of the environment and forest cover is a key issue for all agricultural development programs, including cocoa farming. Thus, the socially sustainable, acceptable and profitable ecological alternative to conventional cocoa farming remains agroforestry. This is a dynamic system of natural resource management based on ecological foundation that integrates trees into farms and thus makes it possible to diversify and maintain production. Agroforestry represents one of the most promising solutions for sustainably linking agricultural production and environmental protection. However, several unclear points remain regarding the choice of woody species and their ecological interaction with the cocoa tree. From a technical point of view, it is important to combine species that have favorable effects on the cocoa tree to ensure satisfactory agricultural production. This species is highly valued by farmers in western and south-western Côte d'Ivoire for food and trade. Its kernels are an important nutritional supplement (vitamins, fats, proteins, minerals), and their marketing provides rural populations with financial income. However, there is still a lack of knowledge about the characteristics of I.gabonensis and its interaction with cocoa. The study was initiated with a view to ensuring sustainable cocoa production. In Côte d'Ivoire, I.gabonensis is frequently grown in association with cocoa. The hypothesis behind this study is that the ecological interaction between I.gabonensis and the cocoa influences the agromorphological characteristics of the cocoa. Our study contributes to improve cocoa production systems for sustainable farming. More specifically, we aimed to describe the structural characteristics (height and diameter) of I.gabonensis, to assess its productivity and to describe its effect on agro-morphological characteristics of cocoa trees. To reach this goal, a design of 10 and 20 m radii was set up around the Irvingia gabonensis species, in which diameter, height, morphological characteristics of fruits and seeds, biomass and carbon stock were assessed. The results revealed a homogeneity of I. gabonensis morphological characters as well as fruit production, biomass and carbon stock in all localities, with the exception of height. The vigour and pod yield of cocoa trees in the vicinity of the species was reduced, given the low cocoa density observed in its surroundings. Its presence in cocoa plantations increases biomass production and carbon stock. I gabonensis stabilizes the rate of rotted and gnawed pods. I. gabonensis could therefore be integrated into agroforestry plots, provided that the cocoa density around it is reduced to minimize its impact on cocoa vigor and yield.
DOI: 10.6084/m9.figshare.25209147
title: Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data

description: It is well known that commonly used algorithms for circle fitting perform poorly when sampling distribution of the points is not symmetric with respect to the circle center, for example, when the points are sampled from a circle arc. To overcome this difficulty we introduce and study a parametric circular structural model. In this model the points on the circumference are assumed to be sampled according to the von Mises distribution with unknown concentration and mean direction parameters. We develop maximum likelihood and method of moments estimators of the circle center and radius, and study their statistical properties. In particular, we show that the proposed maximum likelihood estimator is asymptotically normal and efficient. We also develop a test of uniformity for the sampling distribution along the circle. Based on the derived theoretical results we propose a numerically stable circle fitting algorithm, investigate its accuracy in a simulation study, and illustrate its behavior in a real data example. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25209147.v2
title: Statistical Inference in Circular Structural Model and Fitting Circles to Noisy Data

description: It is well known that commonly used algorithms for circle fitting perform poorly when sampling distribution of the points is not symmetric with respect to the circle center, for example, when the points are sampled from a circle arc. To overcome this difficulty we introduce and study a parametric circular structural model. In this model the points on the circumference are assumed to be sampled according to the von Mises distribution with unknown concentration and mean direction parameters. We develop maximum likelihood and method of moments estimators of the circle center and radius, and study their statistical properties. In particular, we show that the proposed maximum likelihood estimator is asymptotically normal and efficient. We also develop a test of uniformity for the sampling distribution along the circle. Based on the derived theoretical results we propose a numerically stable circle fitting algorithm, investigate its accuracy in a simulation study, and illustrate its behavior in a real data example. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25209147.v1
title: Statistical inference in circular structural model and fitting circles to noisy data

description: It is well known that commonly used algorithms for circle fitting perform poorly when sampling distribution of the points is not symmetric with respect to the circle center, e.g., when the points are sampled from a circle arc. To overcome this difficulty we introduce and study a parametric circular structural model. In this model the points on the circumference are assumed to be sampled according to the von Mises distribution with unknown concentration and mean direction parameters. We develop maximum likelihood and method of moments estimators of the circle center and radius, and study their statistical properties. In particular, we show that the proposed maximum likelihood estimator is asymptotically normal and efficient. We also develop a test of uniformity for the sampling distribution along the circle. Based on the derived theoretical results we propose a numerically stable circle fitting algorithm, investigate its accuracy in a simulation study, and illustrate its behavior in a real data example.
DOI: 10.6084/m9.figshare.25429291.v1
title: <b>Maternal gut microbiota programs stem cell functions in the offspring</b>

description: The maternal-microbiome influences child health. However, its impact on offspring’s stem cells, which regulate development, remains poorly understood.
DOI: 10.14469/hpc/13724
title: SILDOH NBO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13726
title: AHEYAO NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13731
title: KEVFUM NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13725
title: PILTOU NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13729
title: BODGEG NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13916
title: GISSAD NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13917
title: GINLOF NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13926
title: POCPOO NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.14473/csda/0mo6di/jfnlzj
title: TI_CSDA00181-CSDA00194.pdf

description: Technická informace_CSDA00181-CSDA00194
DOI: 10.14473/csda/0mo6di/xlddze
title: OM_CSDA00181-CSDA00194.pdf

description: Ostatní materiály_CSDA00181-CSDA00194
DOI: 10.14473/csda/0mo6di/6utgdy
title: D_CSDA00185_kralovehradecky.pdf

description: Dotazník_CSDA00185_kralovehradecky
DOI: 10.14473/csda/0mo6di/pvho3g
title: 05_KH kraj - volby do PS 2013_data_opr.tab

description: Data_CSDA00185
DOI: 10.14473/csda/0mo6di
title: Předvolební výzkumy pro volby do PS 2013 – Královéhradecký kraj

description: Předvolební výzkumy před volbami do PS 2013 ve všech krajích ČR pro Českou televizi realizovaly společnosti Median a Stem/Mark. Hlavním výstupem byl tzv. volební potenciál v kraji, jehož výsledky sloužily k nominaci hostů do předvolebních debat ČT. Součástí dotazníku bylo i několik krajsky specifických tematických otázek.
DOI: 10.14473/csda/0mo6di/pctdj9
title: D_CSDA00181-CSDA00194.pdf

description: Dotazník_CSDA00181-CSDA00194
DOI: 10.6084/m9.figshare.22591516
title: Datasets from "Risks posed by invasive species to the provision of ecosystem services in Europe"

description: Datasets needed to run R scripts 10 to 12 corresponding to publication "Risks posed by invasive species to the provision of ecosystem services in Europe"
DOI: 10.6084/m9.figshare.22591516.v5
title: Datasets from "Risks posed by invasive species to the provision of ecosystem services in Europe"

description: Datasets needed to run R scripts 10 to 12 corresponding to publication "Risks posed by invasive species to the provision of ecosystem services in Europe"
DOI: 10.6084/m9.figshare.22591516.v4
title: Datasets from "Risks posed by invasive species to the provision of ecosystem services in Europe"

description: Datasets needed to run R scripts 10 to 12 corresponding to publication "Risks posed by invasive species to the provision of ecosystem services in Europe"