cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22022938.v1
title: How Endogenous Cultural Institutions May (Not) Shape Farmers’ Climate Adaptation Practices: Learning from Rural Cameroon

description: Climate change is high on the science and policy agenda of sub-Saharan Africa (SSA), requiring context-specific adaptation. Studies on endogenous cultural institutions (ECIs) in climate adaptation are fragmented, impeding policy orientation. This suggests the need for complementary evidence on ECIs to inform adaptation practice. Through a sample of 158 households in rural Cameroon, we contribute to bridge this gap, by: (1) exploring socio-political factors shaping peasant farmers’ compliance with agro-based ECIs, and (2) estimating the effect of ECI compliance on farmers’ adaptation practices. Our estimation revealed the following: While political factors do not sufficiently explain compliance, state influence, mirrored through the application of formal rules negatively affects ECI compliance. Traditional rain forecast significantly explains climate adaptation; however, the pouring of libation does not. The age of peasant farmers also positively affects compliance with ECIs. We conclude that compliance with ECIs manifest in climate adaptation in varying proportions.
DOI: 10.6084/m9.figshare.23612892
title: Suppl Table 1_corr.xlsx

description: Characteristics of the study population of vegans and omnivores.
DOI: 10.6084/m9.figshare.23612892.v2
title: Suppl Table 1_corr.xlsx

description: Characteristics of the study population of vegans and omnivores.
DOI: 10.5281/zenodo.7267956
title: ICITS'23 - Understanding the Success Factors of Research Software: Interviews with Brazilian Computer Science Academic Researchers

description: Artifacts used for data collection and analysis of the article accepted for publication in ICITS'23. Mourão, E., Trevisan, D., Viterbo, J. (2022).Understanding the Success Factors of Research Software: Interviews with Brazilian Computer Science Academic Researchers. In: ICITS'23 - 6th International Conference on Information Technology & Systems. Advances in Intelligent Systems and Computing, Springer, Cham.
DOI: 10.5281/zenodo.7249701
title: ICITS'23 - Understanding the Success Factors of Research Software: Interviews with Brazilian Computer Science Academic Researchers

description: Artifacts used for data collection and analysis of the article accepted for publication in ICITS'23. Mourão, E., Trevisan, D., Viterbo, J. (2022).Understanding the Success Factors of Research Software: Interviews with Brazilian Computer Science Academic Researchers. In: ICITS'23 - 6th International Conference on Information Technology & Systems. Advances in Intelligent Systems and Computing, Springer, Cham.
DOI: 10.5281/zenodo.7362052
title: Investigating the Adoption of Research Software: A Survey with Brazilian Academic Researchers

description: Artifacts used for data collection and analysis.
DOI: 10.5281/zenodo.7362051
title: Investigating the Adoption of Research Software: A Survey with Brazilian Academic Researchers

description: Artifacts used for data collection and analysis.
DOI: 10.6084/m9.figshare.23612886
title: Suppl Table 10.docx

description: The role of diet-related bacteria in NCDs: list of references.
DOI: 10.6084/m9.figshare.23612886.v4
title: Suppl Table 10.docx

description: The role of diet-related bacteria in NCDs: list of references.
DOI: 10.6084/m9.figshare.23612886.v3
title: Suppl Table 10.docx

description: The role of diet-related bacteria in NCDs: list of references.
DOI: 10.6084/m9.figshare.23612925
title: Suppl Table 4 (PERMANOVA).xlsx

description: Results from the PERMANOVA analysis.
DOI: 10.6084/m9.figshare.23612925.v2
title: Suppl Table 4 (PERMANOVA).xlsx

description: Results from the PERMANOVA analysis.
DOI: 10.6084/m9.figshare.23612925.v3
title: Suppl Table 4 (PERMANOVA).xlsx

description: Results from the PERMANOVA analysis.
DOI: 10.6084/m9.figshare.23612922
title: Suppl Table 5 (SCFA).xlsx

description: Short-chain fatty acid spectrum in serum.
DOI: 10.6084/m9.figshare.23612922.v3
title: Suppl Table 5 (SCFA).xlsx

description: Short-chain fatty acid spectrum in serum.
DOI: 10.6084/m9.figshare.23612922.v2
title: Suppl Table 5 (SCFA).xlsx

description: Short-chain fatty acid spectrum in serum.
DOI: 10.6084/m9.figshare.23612856
title: Suppl Table 8 (Lasso).docx

description: Lasso coefficients for the model built on training data.
DOI: 10.6084/m9.figshare.23612856.v1
title: Suppl Table 8 (Lasso).docx

description: Lasso coefficients for the model built on training data.
DOI: 10.6084/m9.figshare.23612910
title: Suppl Table 3A-C (microbiome).xlsx

description: <strong>A. </strong>Composition of the unique microbiome in Italian and Czech samples (species level). <strong>B</strong>. Composition of shared microbiome in Italian and Czech samples (species level). <strong>C</strong>. Alpha diversity indexes.
DOI: 10.6084/m9.figshare.23612910.v2
title: Suppl Table 3A-C (microbiome).xlsx

description: <strong>A. </strong>Composition of the unique microbiome in Italian and Czech samples (species level). <strong>B</strong>. Composition of shared microbiome in Italian and Czech samples (species level). <strong>C</strong>. Alpha diversity indexes.
DOI: 10.6084/m9.figshare.23612910.v1
title: Suppl Table 3A-C (microbiome).xlsx

description: <strong>A. </strong>Composition of the unique microbiome in Italian and Czech samples (species level). <strong>B</strong>. Composition of shared microbiome in Italian and Czech samples (species level). <strong>C</strong>. Alpha diversity indexes.
DOI: 10.5281/zenodo.8109820
title: press_releases

description: Press release data for disclosuR example
DOI: 10.5281/zenodo.8109819
title: press_releases

description: Press release data for disclosuR example
DOI: 10.5281/zenodo.8110694
title: chondracanthus_exasperatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110693
title: chondracanthus_exasperatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110702
title: endocladia_muricata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110701
title: endocladia_muricata_zanfona_1.fasta.gz

description: .
DOI: 10.17045/sthlmuni.23609580.v1
title: Data set for the Commun. Chem. article by Paul et al. with the title "13C- and 15N-labeling of amyloid-β and inhibitory polypeptides to study their interaction via nanoscale infrared spectroscopy"

description: The data published here are the basis for the article by Paul et al. in Commun. Chem. with the title <em>13C- and 15N-labeling of amyloid-β and inhibitory polypeptides to study their interaction via nanoscale infrared spectroscopy</em> and for the Research Square preprint by Paul et al. with DOI: 10.21203/rs.3.rs-2141341/v1 and title <em>13C-isotope-editing of nanoscale infrared images reveals the action of an inhibi­tory peptide against amyloid-β aggregation</em>. <br> These publications show that 13C, 15N-labeling can be used to discriminate between two peptides in nanoscale images of their infrared absorption, even when they have similar secondary structure. We studied different aggregation states of the amyloid-β peptide (Aβ) and its interaction with an inhibitory cell-penetrating peptide (NCAM1-PrP) using scattering-type scanning near-field optical microscopy (s-SNOM). Labeled and unlabeled peptides could be distinguished by comparing images of the optical phase taken at wavenumbers characteristic for either the labeled or the unlabeled peptide. <br> Some of the provided files require particular software to view them: Gwyddion (http://gwyddion.net/) is needed for image files, neaPLOT (attocube) for nano-FTIR spectra, and OPUS (Bruker) for FTIR spectra. Processed neaPLOT files were stored as csv files. OPUS files were converted to txt files but can also be read by Spectragryph (https://www.effemm2.de/spectragryph/about.html), which is free for private and academic use.
DOI: 10.17045/sthlmuni.23609580
title: Data set for the Commun. Chem. article by Paul et al. with the title "13C- and 15N-labeling of amyloid-β and inhibitory polypeptides to study their interaction via nanoscale infrared spectroscopy"

description: The data published here are the basis for the article by Paul et al. in Commun. Chem. with the title <em>13C- and 15N-labeling of amyloid-β and inhibitory polypeptides to study their interaction via nanoscale infrared spectroscopy</em> and for the Research Square preprint by Paul et al. with DOI: 10.21203/rs.3.rs-2141341/v1 and title <em>13C-isotope-editing of nanoscale infrared images reveals the action of an inhibi­tory peptide against amyloid-β aggregation</em>. <br> These publications show that 13C, 15N-labeling can be used to discriminate between two peptides in nanoscale images of their infrared absorption, even when they have similar secondary structure. We studied different aggregation states of the amyloid-β peptide (Aβ) and its interaction with an inhibitory cell-penetrating peptide (NCAM1-PrP) using scattering-type scanning near-field optical microscopy (s-SNOM). Labeled and unlabeled peptides could be distinguished by comparing images of the optical phase taken at wavenumbers characteristic for either the labeled or the unlabeled peptide. <br> Some of the provided files require particular software to view them: Gwyddion (http://gwyddion.net/) is needed for image files, neaPLOT (attocube) for nano-FTIR spectra, and OPUS (Bruker) for FTIR spectra. Processed neaPLOT files were stored as csv files. OPUS files were converted to txt files but can also be read by Spectragryph (https://www.effemm2.de/spectragryph/about.html), which is free for private and academic use.
DOI: 10.5281/zenodo.8110720
title: mastocarpus_papillatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110719
title: mastocarpus_papillatus_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22120365
title: Rationale, methods, and progress of the ArthroCaP Study: A prospective cohort study exploring the associations between chronic postsurgical pain and postoperative cognitive dysfunction after elective knee or hip arthroplasty

description: Chronic postsurgical pain (CPSP) may increase the risk of postoperative cognitive dysfunction (POCD) directly or by negatively impacting mobility. A comprehensive measure of satisfaction with surgery that accounts for ability to perform activities might be even more strongly associated with POCD. There might be complex mechanisms underlying the interplays between postoperative pain and cognition. The primary objective is to explore whether CPSP at 6 months is associated with POCD (≥2-point decline in the Montreal Cognitive Assessment [MoCA] compared to preoperative) at 12 months. Secondary objectives are to explore the association between satisfaction with surgery and POCD, the role of pain medications (opioids) in the association between CPSP and POCD, the role of patient preoccupation/optimism and coping in determining the effect of pain on cognition, and the hypothesis of neurogenesis interference as an underlying mechanism. We will prospectively recruit ≥100 patients ≥50 years old undergoing elective total knee/hip arthroplasty. Sociodemographic characteristics, comorbidities, frailty, pain, and pain medications will be assessed preoperatively. The Somatic Preoccupation and Coping questionnaire will be administered preoperatively and 4 to 6 weeks postoperative. Pain and the Self-Administered Patient Satisfaction Scale will be measured at 3 and 6 months. MoCA and neuropsychological tests will be administered at baseline, 4 to 6 weeks, and 6 and 12 months. Blood will be longitudinally collected for biomarker analysis. Forty-six participants have been enrolled in the study so far. ArthroCaP will provide preliminary data on the association of CPSP and patient satisfaction with POCD and underlying mechanisms. It will inform larger confirmatory and interventional studies to enhance the benefits of surgery.
DOI: 10.6084/m9.figshare.22120365.v1
title: Rationale, methods, and progress of the ArthroCaP Study: A prospective cohort study exploring the associations between chronic postsurgical pain and postoperative cognitive dysfunction after elective knee or hip arthroplasty

description: Chronic postsurgical pain (CPSP) may increase the risk of postoperative cognitive dysfunction (POCD) directly or by negatively impacting mobility. A comprehensive measure of satisfaction with surgery that accounts for ability to perform activities might be even more strongly associated with POCD. There might be complex mechanisms underlying the interplays between postoperative pain and cognition. The primary objective is to explore whether CPSP at 6 months is associated with POCD (≥2-point decline in the Montreal Cognitive Assessment [MoCA] compared to preoperative) at 12 months. Secondary objectives are to explore the association between satisfaction with surgery and POCD, the role of pain medications (opioids) in the association between CPSP and POCD, the role of patient preoccupation/optimism and coping in determining the effect of pain on cognition, and the hypothesis of neurogenesis interference as an underlying mechanism. We will prospectively recruit ≥100 patients ≥50 years old undergoing elective total knee/hip arthroplasty. Sociodemographic characteristics, comorbidities, frailty, pain, and pain medications will be assessed preoperatively. The Somatic Preoccupation and Coping questionnaire will be administered preoperatively and 4 to 6 weeks postoperative. Pain and the Self-Administered Patient Satisfaction Scale will be measured at 3 and 6 months. MoCA and neuropsychological tests will be administered at baseline, 4 to 6 weeks, and 6 and 12 months. Blood will be longitudinally collected for biomarker analysis. Forty-six participants have been enrolled in the study so far. ArthroCaP will provide preliminary data on the association of CPSP and patient satisfaction with POCD and underlying mechanisms. It will inform larger confirmatory and interventional studies to enhance the benefits of surgery.
DOI: 10.5519/qd.k7t625hc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7600716
title: Supplemental Data for "Riluzole suppresses growth and enhances response to endocrine therapy in ER+ breast cancer"

description: Supplemental Figures and Legends for Olukoya et al 2023 (https://doi.org/10.1101/2020.07.30.227561)
DOI: 10.5281/zenodo.7600717
title: Supplemental Data for "Riluzole suppresses growth and enhances response to endocrine therapy in ER+ breast cancer"

description: Supplemental Figures and Legends for Olukoya et al 2023 (https://doi.org/10.1101/2020.07.30.227561)
DOI: 10.5281/zenodo.8110789
title: Supplemental Data for "Riluzole suppresses growth and enhances response to endocrine therapy in ER+ breast cancer"

description: Supplemental Figures and Legends for Olukoya et al 2023 (https://doi.org/10.1101/2020.07.30.227561)
DOI: 10.5281/zenodo.8110804
title: deal_data

description: Deal data for disclosuR examples
DOI: 10.5281/zenodo.8110803
title: deal_data

description: Deal data for disclosuR examples
DOI: 10.5281/zenodo.8110821
title: odonthalia_washingtoniensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110820
title: odonthalia_washingtoniensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8110837
title: sarcodiotheca_gaudichaudii_zanfona_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8110836
title: sarcodiotheca_gaudichaudii_zanfona_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23227432
title: Gaussian Approximation and Spatially Dependent Wild Bootstrap for High-Dimensional Spatial Data

description: In this article, we establish a high-dimensional CLT for the sample mean of <i>p</i>-dimensional spatial data observed over irregularly spaced sampling sites in Rd, allowing the dimension <i>p</i> to be much larger than the sample size <i>n</i>. We adopt a stochastic sampling scheme that can generate irregularly spaced sampling sites in a flexible manner and include both pure increasing domain and mixed increasing domain frameworks. To facilitate statistical inference, we develop the spatially dependent wild bootstrap (SDWB) and justify its asymptotic validity in high dimensions by deriving error bounds that hold almost surely conditionally on the stochastic sampling sites. Our dependence conditions on the underlying random field cover a wide class of random fields such as Gaussian random fields and continuous autoregressive moving average random fields. Through numerical simulations and a real data analysis, we demonstrate the usefulness of our bootstrap-based inference in several applications, including joint confidence interval construction for high-dimensional spatial data and change-point detection for spatio-temporal data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23227432.v1
title: Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data

description: In this paper, we establish a high-dimensional CLT for the sample mean of <i>p</i>-dimensional spatial data observed over irregularly spaced sampling sites in Rd, allowing the dimension <i>p</i> to be much larger than the sample size <i>n</i>. We adopt a stochastic sampling scheme that can generate irregularly spaced sampling sites in a flexible manner and include both pure increasing domain and mixed increasing domain frameworks. To facilitate statistical inference, we develop the spatially dependent wild bootstrap (SDWB) and justify its asymptotic validity in high dimensions by deriving error bounds that hold almost surely conditionally on the stochastic sampling sites. Our dependence conditions on the underlying random field cover a wide class of random fields such as Gaussian random fields and continuous autoregressive moving average random fields. Through numerical simulations and a real data analysis, we demonstrate the usefulness of our bootstrap-based inference in several applications, including joint confidence interval construction for high-dimensional spatial data and change-point detection for spatio-temporal data.
DOI: 10.5281/zenodo.7996912
title: Universities, university residences and others

description: Report results for Mathematic TFG
DOI: 10.5281/zenodo.7996913
title: Universities, university residences and others

description: Report results for Mathematic TFG
DOI: 10.5281/zenodo.7997124
title: Universities, university residences and others

description: Report results for Mathematic TFG
DOI: 10.5281/zenodo.8110848
title: Universities, university residences and others

description: Report results for Mathematic TFG
DOI: 10.25345/c5t14v05k
title: MassIVE MSV000092334 - GPNS_spike protein expression in HEK293
title: Tridip Phukan_Protein expression in HEK293 in presence of spike protein of SARS-CoV-2
DOI: 10.5517/ccdc.csd.cc2dqwhj
title: CCDC 2226528: Experimental Crystal Structure Determination

description: Related Article: Ivana Predarska, Mohamad Saoud, Ibraim Morgan, Peter Lönnecke, G. N. Kaluđerović, Evamarie Hey-Hawkins|2023|Biomol.|13|595|doi:10.3390/biom13040595
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffclv
title: CCDC 2247177: Experimental Crystal Structure Determination

description: Related Article: Tilen Knaflič, Mateja Žnidarič, Franc Perdih, Marko Trampuž, Zvonko Jagličić, Zdenko Časar, Denis Arčon|2023|J.Phys.Chem.Solids|181|111514|doi:10.1016/j.jpcs.2023.111514
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffcmw
title: CCDC 2247178: Experimental Crystal Structure Determination

description: Related Article: Tilen Knaflič, Mateja Žnidarič, Franc Perdih, Marko Trampuž, Zvonko Jagličić, Zdenko Časar, Denis Arčon|2023|J.Phys.Chem.Solids|181|111514|doi:10.1016/j.jpcs.2023.111514
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffcnx
title: CCDC 2247179: Experimental Crystal Structure Determination

description: Related Article: Tilen Knaflič, Mateja Žnidarič, Franc Perdih, Marko Trampuž, Zvonko Jagličić, Zdenko Časar, Denis Arčon|2023|J.Phys.Chem.Solids|181|111514|doi:10.1016/j.jpcs.2023.111514
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8108714
title: RNA 3D structure modeling by fragment assembly with Small Angle X-ray Scattering restraints

description: Structure determination is a key step in the functional characterization of many non-coding RNA molecules. High-resolution RNA 3D structure determination efforts, however, are not keeping up with the pace of discovery of new non-coding RNA sequences. This increases the importance of computational approaches and low-resolution experimental data, such as from the Small Angle X-ray Scattering experiments. We present RNA Masonry, a computer program and a web service for a fully automated modeling of RNA 3D structures. It assemblies RNA fragments into geometrically plausible models that meet user-provided secondary structure constraints, restraints on tertiary contacts and Small Angle X-ray Scattering data. We illustrate the method description with detailed benchmarks and its application to structural studies of viral RNAs with SAXS restraints.
DOI: 10.5281/zenodo.8108713
title: RNA 3D structure modeling by fragment assembly with Small Angle X-ray Scattering restraints

description: Structure determination is a key step in the functional characterization of many non-coding RNA molecules. High-resolution RNA 3D structure determination efforts, however, are not keeping up with the pace of discovery of new non-coding RNA sequences. This increases the importance of computational approaches and low-resolution experimental data, such as from the Small Angle X-ray Scattering experiments. We present RNA Masonry, a computer program and a web service for a fully automated modeling of RNA 3D structures. It assemblies RNA fragments into geometrically plausible models that meet user-provided secondary structure constraints, restraints on tertiary contacts and Small Angle X-ray Scattering data. We illustrate the method description with detailed benchmarks and its application to structural studies of viral RNAs with SAXS restraints.
DOI: 10.6069/35zc-fm02
title: United States State-Level Maternal Mortality by Racial and Ethnic Group 1999-2019