cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8201840
title: A burned area database from Sentinel-2 imagery (2016-2022) for Madagascar, southern Mozambique, Eswatini and eastern South Africa

description: This database includes georeferenced burned area at 20 m and fire dates covering the period 2016-2022 for Madagascar, southern Mozambique (Maputo, Maputo City, Gaza, Inhambane), Eswatini, and eastern South Africa (Limpopo, Mpumalanga, KwaZulu-Natal, Eastern Cape). The classification of burned areas has been done based on 165,833 Sentinel-2 scenes (2A and 2B), by applying a two-phased algorithm on the probability output of a random forest model. The product has been validated in Madagascar with long temporal reference burned area units distributed into two fire activity strata. The accuracy analysis performed for the years 2019 and 2021 revealed a Dice coefficient of ≥79%, commission errors ≤18% and omission error ≤24% with a relative bias of about -8%. Intercomparisons with other available burned area products (FireCCISFD11, FireCCISFD20, GABAM, FireCCI51, C3SBA11, MCD64) indicated a consistent performance throughout the entire period. The product is provided in shapefiles, divided into four-month periods. Each shapefile contains a field named “BurnDate” indicating the date when the burned area was detected in format YYYYMMDD. Missing values indicate areas that were not burned, while zero values represent areas that were not considered in the mapping process due to persistent pixel low quality conditions.
description: Funded by the Swiss Network for International Studies (SNIS) in the framework of the project "Fire regimes and ecosystem services in African biodiversity hotspots: can fire policies favoring climate change mitigation, biodiversity and local communities converge?"
DOI: 10.5281/zenodo.8250229
title: Experiencias del desgaste emocional de las enfermeras

description: Revisión literaria
DOI: 10.5281/zenodo.8250230
title: Experiencias del desgaste emocional de las enfermeras

description: Revisión literaria
DOI: 10.26036/cnp0000289
title: Microbiome GWAS（M-GWAS）

description: Pioneered by mice QTLs and human twins’ studies, genetic influences on the gut microbiome is increasingly recognized. Yet, doubts remain as to the significance of genetic associations. Here, we provide shotgun data for whole genome and whole metagenome from a Chinese cohort, confirming the ~10% genetic contribution to the gut microbiota estimated from European individuals. Using single variants, gene-based and CNV association analysis, we identified numerous/abundant signals associated with gut microbiome. The majority of associations lie in metabolic, neurological and immunological functions, which is particular interesting considering the rapid changes in lifestyle and environmental factors in China and the rising disease incidences. For example, a good portion of our Chinese cohort still harbor Prevotella instead of Bacteroides, similar to other developing countries; and we identified heritability and specific loci for Prevotella species. Other features, such as branched-chain amino acids, might also relate to diabetes risk. Moreover, stratification according to gender led to the identification of differential associations in males and females that were masked when analyzing both genders together, implying sculpturing of an individual’s gut microbiome during infancy or in utero. Our results demonstrate that M-GWAS (Microbiome genome-wide association studies) helps elucidate host–microbe interactions to gain better insight into human health and diseases.
DOI: 10.6084/m9.figshare.23943150.v1
title: Supplementary code, raw data and figure plots from "CAMSAP-driven microtubule release from γ-TuRC and its regulation by nucleation-promoting factors"

description: <i>"CAMSAP-driven microtubule release from γ-TuRC and its regulation by nucleation-promoting factors"</i>Dipti Rai, Yinlong Song, Shasha Hua, Jooske L. Monster, Victor Yin, Riccardo Stucchi, Kelly Stecker, Yixin Xu, Yaqian Zhang, Fangrui Chen, Eugene A. Katrukha, Maarten Altelaar, Albert J. R. Heck, Michal Wieczorek, Kai Jiang and Anna Akhmanova
DOI: 10.17638/datacat.liverpool.ac.uk/2419
title: Geographically Weighted Regression Analysis: Examining the Relationship between Index of Multiple Deprivation (IMD) 2019 and Prevalence of Hearing Loss in Adults (50 years old and above) in Cheshire and Merseyside ICS, 2020. An Interactive Map Application

description: Geographically Weighted Regression Analysis: Exploring the Relationship between Median Age in LSOAs and Hearing Loss Prevalence in Adults (50+) in Cheshire and Merseyside ICS, 2020 For more detailed information on this type of spatial analysis, please visit https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/geographically-weighted-regression.htm
DOI: 10.5517/ccw5dkz
title: CCDC 809551: Experimental Crystal Structure Determination

description: Related Article: M.A.Shestopalov, A.I.Smolentsev, Zh.S.Kozhomuratova, V.E.Fedorov, Yu.V.Mironov|2012|Koord.Khim.|38|52|
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.cc2bdxnb
title: CCDC 2157372: Experimental Crystal Structure Determination

description: Related Article: Kosuke Iizuka, Yumiko Nakajima, Kazuhiko Sato|2022|Dalton Trans.|51|12781|doi:10.1039/D2DT01733D
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.8250247
title: Borehole logs of the projects STIMTEC and STIMTEC-X

description: Logs available for each borehole in the Research mine Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X. Logging operations were carried out by LIAG (Hannover, Germany). The types of data available include optical televiewer (OTV) and acoustic televiewer (BHTV) logs, as well as sonic and caliper logs.
DOI: 10.5281/zenodo.8250246
title: Borehole logs of the projects STIMTEC and STIMTEC-X

description: Logs available for each borehole in the Research mine Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X. Logging operations were carried out by LIAG (Hannover, Germany). The types of data available include optical televiewer (OTV) and acoustic televiewer (BHTV) logs, as well as sonic and caliper logs.
DOI: 10.5281/zenodo.8250301
title: Dilatometer measurements from the projects STIMTEC and STIMTEC-X

description: Dilatometer measurements from various of the boreholes in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X
DOI: 10.5281/zenodo.8250300
title: Dilatometer measurements from the projects STIMTEC and STIMTEC-X

description: Dilatometer measurements from various of the boreholes in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X
DOI: 10.25345/c51v5bq4t
title: MassIVE MSV000092661 - GNPS_Tryptophan_diet_EAE_mice_serum
title: This dataset consists of mice serum samples extracted with 100% MeOH using a phospholipid removal kit. MS/MS data was acquired on Orbitrap in positive ionization mode. Mice cohorts with three different microbiome composition were subjected to EAE treatment and their diet was changed from low to high tryptophan.
DOI: 10.6084/m9.figshare.23959215
title: Pilot study on the efficacy and safety of berberine in people with metabolic syndrome and human immunodeficiency virus infection, database BBR vs CTR

description: A pilot randomized, double-blind, placebo-controlled clinical trial was designed with two groups, each one with 20 patients: group A) Berberine 500 mg per capsule three times daily for 20 weeks, and group B) Placebo (calcinate magnesia) 400 mg per capsule three times daily for 20 weeks.Participants were randomly assigned using an Excel program to receive berberine or a placebo, one capsule after each meal for 20 weeks. All participants received medical and nutritional guidance; we emphasized consumption of fiber according to weight, and avoidance of saturated and trans fats; also, we recommended maintaining the same physical activity that was part of their daily routine to avoid interfering with the final outcomes.Basal and final measurements of hematology, glucose, creatinine, urea, total cholesterol, LDL-c, HDL-c, VLDL-c, triglycerides, high sensitivity C-reactive protein (hs-CRP), total bilirubin, total proteins, albumin, AST, ALT, GGT, alkaline phosphatase, HBsAg, anti-HCV antibodies, insulin, C-peptide, glucagon and glycated hemoglobin (HbA1c) were obtained, with at least 8 h of fasting.Cardiovascular risk was estimated.We calculated: the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), the HOMA-%β, and the HOMA-%S.Serum levels of proinflammatory cytokines: IL-1β, TNF-a, and IL-6, insulin, glucagon, and C-peptide were quantified.
DOI: 10.6084/m9.figshare.23959278
title: “What” and “when” predictions modulate auditory processing in a mutually congruent manner

description: Extracting regularities from ongoing stimulus streams to form predictions is crucialfor adaptive behavior. Such regularities exist in terms of the content of the stimuliand their timing, both of which are known to interactively modulate sensoryprocessing. In real-world stimulus streams such as music, regularities can occurat multiple levels, both in terms of contents (e.g., predictions relating to individualnotes vs. their more complex groups) and timing (e.g., pertaining to timingbetween intervals vs. the overall beat of a musical phrase). However, it is unknownwhether the brain integrates predictions in a manner that is mutually congruent(e.g., if “beat” timing predictions selectively interact with “what” predictions fallingon pulses which define the beat), and whether integrating predictions in differenttiming conditions relies on dissociable neural correlates. To address thesequestions, our study manipulated “what” and “when” predictions at different levels– (local) interval-defining and (global) beat-defining – within the same stimulusstream, while neural activity was recorded using electroencephalogram (EEG) inparticipants (N = 20) performing a repetition detection task. Our results revealthat temporal predictions based on beat or interval timing modulated mismatchresponses to violations of “what” predictions happening at the predicted timepoints, and that these modulations were shared between types of temporalpredictions in terms of the spatiotemporal distribution of EEG signals. Effectiveconnectivity analysis using dynamic causal modeling showed that the integrationof “what” and “when” predictions selectively increased connectivity at relativelylate cortical processing stages, between the superior temporal gyrus and thefronto-parietal network. Taken together, these results suggest that the brainintegrates different predictions with a high degree of mutual congruence, but in ashared and distributed cortical network. This finding contrasts with recent studiesindicating separable mechanisms for beat-based and memory-based predictiveprocessing.
DOI: 10.6084/m9.figshare.23959278.v1
title: “What” and “when” predictions modulate auditory processing in a mutually congruent manner

description: Extracting regularities from ongoing stimulus streams to form predictions is crucialfor adaptive behavior. Such regularities exist in terms of the content of the stimuliand their timing, both of which are known to interactively modulate sensoryprocessing. In real-world stimulus streams such as music, regularities can occurat multiple levels, both in terms of contents (e.g., predictions relating to individualnotes vs. their more complex groups) and timing (e.g., pertaining to timingbetween intervals vs. the overall beat of a musical phrase). However, it is unknownwhether the brain integrates predictions in a manner that is mutually congruent(e.g., if “beat” timing predictions selectively interact with “what” predictions fallingon pulses which define the beat), and whether integrating predictions in differenttiming conditions relies on dissociable neural correlates. To address thesequestions, our study manipulated “what” and “when” predictions at different levels– (local) interval-defining and (global) beat-defining – within the same stimulusstream, while neural activity was recorded using electroencephalogram (EEG) inparticipants (N = 20) performing a repetition detection task. Our results revealthat temporal predictions based on beat or interval timing modulated mismatchresponses to violations of “what” predictions happening at the predicted timepoints, and that these modulations were shared between types of temporalpredictions in terms of the spatiotemporal distribution of EEG signals. Effectiveconnectivity analysis using dynamic causal modeling showed that the integrationof “what” and “when” predictions selectively increased connectivity at relativelylate cortical processing stages, between the superior temporal gyrus and thefronto-parietal network. Taken together, these results suggest that the brainintegrates different predictions with a high degree of mutual congruence, but in ashared and distributed cortical network. This finding contrasts with recent studiesindicating separable mechanisms for beat-based and memory-based predictiveprocessing.
DOI: 10.17638/datacat.liverpool.ac.uk/2204
title: Band Gap Engineering of Carbon Nitride Hybrid Photocatalysts for CO2 Reduction in Aqueous Solutions

description: Through the co-polymerisation of dicyandiamide and barbituric acid precursors, a series of visible light active carbon nitride photocatalysts has been prepared and characterized, and their photocatalytic activity has been evaluated. Structural and electronic characterisation has enabled variations in observed activity towards water splitting and CO2 reduction to be understood, both in the presence and absence of the iron porphyrin co-catalyst FeIII tetra(4-carboxylphenyl)porphyrin (FeTCPP). A combination of the most active carbon nitride catalyst using 5 wt% barbituric acid and FeTCPP provides a hybrid system where the alignment of band structure with appropriate reduction potentials and enhanced carrier lifetimes is capable of CO2 reduction in an aqueous solution with &gt;60% selectivity for CO production. This study is one of only a few that achieves selective CO2 reduction using a hybrid molecular catalyst-carbon nitride photocatalyst in aqueous solution.
DOI: 10.5281/zenodo.8208610
title: Life cycle inventory database for consumption in Québec – Food consumption

description: These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. Led by the CIRAIG, in collaboration with PolyCarbone and ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment. https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/
DOI: 10.5281/zenodo.8208609
title: Life cycle inventory database for consumption in Québec – Food consumption

description: These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. Led by the CIRAIG, in collaboration with PolyCarbone and ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment. https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/
DOI: 10.17638/datacat.liverpool.ac.uk/1153
title: Polymorph of LiAlP2O7: Combined Computational, Synthetic, Crystallographic, and Ionic Conductivity Study
DOI: 10.6084/m9.figshare.23959077.v1
title: Data

description: The “Mesh independence verification.xlsx” file was the trend of the maximum temperature within the computational domain changing with the number of grids, as seen Figure 2A.The parameter sensitivity analysis(seen Figure 3B-G) was constructed as following:Firstly, 27 orthogonal experiments were constructed with COMSOL 6.0 software, and TC1, TC2, and TC3 were extracted by Matlab 2022b software，seen in the "TC1, TC2, and TC3 of 27 orthogonal experiments.xlsx".Then, Minitab 19 software was used to construct the main effect map and analysis of variance for parameter sensitivity analysis, seen in the "Parameter sensitivity analysis.mpx".The COMSOL Livelink with MATLAB interface was used to establish a connection between COMSOL and MATLAB. The MATLAB code controls COMSOL to perform parametric sweep calculations and extract results,seen "Single parameterized sweep.xlsx" file.Evolution of error S(P) , k<sub>2</sub> , σ<sub>1</sub> and σ<sub>2</sub> versus the number of iterations using the non-noise TC1 transient temperature,as seen "GN_iteration.xlsx" file.Temperature mearsurment at different niose level,seen in file "Noise Level.xlsx".Inversion results under different temperature measurement noise levels using LM algorithm,seen in file "LM_iterations.xlsx".The temperature distribution at different moments (10s, 20s, 40s, 60s, 80s, and 100s respectively) on truncated line were extracted by MATLAB code,seen in file "Temperature of the truncated line.xlsx".The differences between estimated and the exact temperatures at TC1, TC2, and TC3 were extracted respectively,seen in file "Temperature Difference.xlsx".
DOI: 10.6084/m9.figshare.23959077
title: Data

description: The “Mesh independence verification.xlsx” file was the trend of the maximum temperature within the computational domain changing with the number of grids, as seen Figure 2A.The parameter sensitivity analysis(seen Figure 3B-G) was constructed as following:Firstly, 27 orthogonal experiments were constructed with COMSOL 6.0 software, and TC1, TC2, and TC3 were extracted by Matlab 2022b software，seen in the "TC1, TC2, and TC3 of 27 orthogonal experiments.xlsx".Then, Minitab 19 software was used to construct the main effect map and analysis of variance for parameter sensitivity analysis, seen in the "Parameter sensitivity analysis.mpx".The COMSOL Livelink with MATLAB interface was used to establish a connection between COMSOL and MATLAB. The MATLAB code controls COMSOL to perform parametric sweep calculations and extract results,seen "Single parameterized sweep.xlsx" file.Evolution of error S(P) , k<sub>2</sub> , σ<sub>1</sub> and σ<sub>2</sub> versus the number of iterations using the non-noise TC1 transient temperature,as seen "GN_iteration.xlsx" file.Temperature mearsurment at different niose level,seen in file "Noise Level.xlsx".Inversion results under different temperature measurement noise levels using LM algorithm,seen in file "LM_iterations.xlsx".The temperature distribution at different moments (10s, 20s, 40s, 60s, 80s, and 100s respectively) on truncated line were extracted by MATLAB code,seen in file "Temperature of the truncated line.xlsx".The differences between estimated and the exact temperatures at TC1, TC2, and TC3 were extracted respectively,seen in file "Temperature Difference.xlsx".
DOI: 10.6073/pasta/91be4c50219edc3c163bcdc52676bb50
title: Data from Bieri Thesis: "Evaluating Coastal Protection Benefits of Restored Oyster Reef Designs" 2022

description: This dataset consists of spreadsheets used in the creation of: "Elizabeth Bieri, Evaluating Coastal Protection Benefits of Restored Oyster Reef Designs. MS Thesis, University of Virginia, Charlottesville, VA. Advisors: Matthew Reidenbach & Patricia Wiberg, 2022" (https://doi.org/10.18130/2b04-wz72). Documentation on methods and types of data are given in the thesis and are not repeated here. There are two .zip files. One contains the original Excel workbooks. The other contains the data from individual sheets within the workbooks as comma-separated-value (.csv) text files. The file listing for the CSV files are: Archive: Bieri_Comma_separated_Value_Files.zip Length Date Time Name --------- ---------- ----- ---- 1787 2023-06-30 11:46 elevation.csv 315 2023-06-30 11:46 elevation_S4.csv 355 2023-06-30 11:47 elevation_S7.csv 496 2023-06-30 11:47 erosionpins.csv 297 2023-06-30 11:48 grainsize_july.csv 290 2023-06-30 11:48 grainsize_oct.csv 399 2023-06-30 11:51 infauna_om_All.csv 509 2023-06-30 11:50 infauna_om_July2021.csv 507 2023-06-30 11:50 infauna_om_Oct2021.csv 1242 2023-06-30 11:51 infauna_om_Sed_OM.csv 516 2023-06-30 11:50 infauna_om_Sept2020.csv 715881 2023-06-30 11:51 jul2021wave.csv 525125 2023-06-30 11:52 jun2022wave.csv 18568 2023-06-30 11:52 lengths_2021.csv 8504 2023-06-30 11:52 lengths_2022.csv 1850 2023-06-30 11:53 marshgrass_all.csv 712 2023-06-30 11:54 marshgrass_July2021.csv 560 2023-06-30 11:55 marshgrass_Oct2021.csv 559 2023-06-30 11:54 marshgrass_Sep2020.csv 858952 2023-06-30 11:55 nov2021wave.csv 848 2023-06-30 11:56 oysterdensity_2021.csv 941 2023-06-30 11:56 oysterdensity_2022.csv 231 2023-06-30 11:57 recruitment_count.csv 12499 2023-06-30 11:57 recruitment_shell_length.csv 1070 2023-06-30 11:57 sedaccum .csv 492226 2023-06-30 11:58 sep2020wave.csv --------- ------- 2645239 26 files