cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1126488884
title: Machine learning-driven exploratory syntheses in molten salts of copper-based compounds for electrocatalytic reduction of carbon dioxide

description: This proposal aims at discovering new electrocatalyst materials by probing in situ chemical reactions in inorganic liquids, ie. molten salts. These reactions will be driven by machine learning to identify a priori the composition ranges most likely to provide new compounds of interest for the electrocatalytic valorization of CO2. Molten salts enable to trigger reactions at 300-1000 °C in conditions prone to yield metastable phases, hence new materials compared to traditional synthesis methods. We want to perform in situ time resolved X-ray diffraction and scattering (PDF analysis) in order to identify the reaction intermediates, including amorphous phases, that will form during the reactions. The reaction conditions identified in situ will then be used in our laboratory to isolate these intermediates, which will deliver new materials for electrocatalysis.
DOI: 10.15151/esrf-es-1205491171
title: origin of FM correlations in Ca2Mn2-xRuxO7 (0.1

description: We observed unexpected features of Ca2Mn2-xRuxO7 at Ru L3 with HERFD-XAS, whose origin cannot be purely electronic. EXAFS (and XANES) at the Mn and Ru K edges would definitely unveil the local distortions that may appear on Mn/RuO6 with doping, which would be key to interpret the HERFD-XANES data (at Ru L3) and to separate electronic and local structural components. The recently obtained -K3MnO4 phase has never been studied as a cathode material. It can extract a potassium ion at the average potential of 2.7V vs K+/K to form at the end of the charge (3.8 V) the K2MnO4 phase. At higher potential (4.2V vs K+/K), it seems that it can form a phase close to KMnO4. Ex situ XRD measurements are carried out to confirm this hypothesis.The evolution of the Mn oxidation state and the change of the local structure allow us to understand the redox mechanism associated with the extraction of potassium and its impact on the reversibility of the cycling.
DOI: 10.34740/kaggle/dsv/5760658
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7964872
title: Ambient Diffusion Checkpoints

description: Checkpoints for AFHQ, CelebA-HQ and CIFAR-10 for ambient diffusion.
DOI: 10.5281/zenodo.7964870
title: Ambient Diffusion Checkpoints

description: Checkpoints for AFHQ, CelebA-HQ and CIFAR-10 for ambient diffusion.
DOI: 10.6084/m9.figshare.23122604
title: Supplementary Material for: Frequency and functional consequences of low appendicular lean mass and sarcopenic obesity in patients with asthma referred for pulmonary rehabilitation

description: Introduction: one of the most prominent extra-pulmonary manifestations in patients with chronic respiratory disease are changes in body weight and composition. However, the frequency and functional consequences of low appendicular lean mass (ALM) or sarcopenic obesity (SO) in patients with asthma is largely unknown. Therefore, the aims of the current study were to assess the frequency and functional consequences of low appendicular lean mass index (ALMI) and SO in patients with asthma. Methods: a retrospectively analyzed cross-sectional study was conducted in 687 patients with asthma (60% female, 58±13 years, FEV1 76±25%pred) referred for comprehensive pulmonary rehabilitation (PR). Body composition, pulmonary function, exercise capacity, quadriceps muscle function, and quality of life were assessed. Patients were classified as presenting low ALMI according to the 10th percentiles of age-sex-body mass index (BMI)-specific reference values and as having SO according to the diagnostic procedure proposed by the 2022 ESPEN/EASO consensus. In addition, clinical outcomes between patients with normal and low ALMI or with and without SO were compared. Results: the frequency of patients classified as low ALMI was 19%, whereas 45% of the patients were obese. Among the obese patients, 29% had SO. In patients with normal weight, those with low ALMI were younger and had worse pulmonary function, exercise capacity and quadriceps muscle function than those with normal ALMI (all p&lt;0.05). Overweight patients with low ALMI presented poorer pulmonary function and quadriceps muscle function (both strength and total work capacity). In obese class I patients, those with low ALMI showed lower quadriceps strength and maximal oxygen uptake acquired during cardiopulmonary exercise testing. Both male and female patients with SO showed lower quadriceps muscle function and reduced maximal exercise capacity compared to non-SO asthma patients. Conclusion/discussion: Approximately one in five asthma patients presented low ALM when age-sex-BMI-specific ALMI cut-offs were applied. Obesity is common among patients with asthma referred for PR. Among the obese patients a significant proportion presented SO. Low ASM and SO were associated with worse functional outcomes.
DOI: 10.6084/m9.figshare.23122604.v1
title: Supplementary Material for: Frequency and functional consequences of low appendicular lean mass and sarcopenic obesity in patients with asthma referred for pulmonary rehabilitation

description: Introduction: one of the most prominent extra-pulmonary manifestations in patients with chronic respiratory disease are changes in body weight and composition. However, the frequency and functional consequences of low appendicular lean mass (ALM) or sarcopenic obesity (SO) in patients with asthma is largely unknown. Therefore, the aims of the current study were to assess the frequency and functional consequences of low appendicular lean mass index (ALMI) and SO in patients with asthma. Methods: a retrospectively analyzed cross-sectional study was conducted in 687 patients with asthma (60% female, 58±13 years, FEV1 76±25%pred) referred for comprehensive pulmonary rehabilitation (PR). Body composition, pulmonary function, exercise capacity, quadriceps muscle function, and quality of life were assessed. Patients were classified as presenting low ALMI according to the 10th percentiles of age-sex-body mass index (BMI)-specific reference values and as having SO according to the diagnostic procedure proposed by the 2022 ESPEN/EASO consensus. In addition, clinical outcomes between patients with normal and low ALMI or with and without SO were compared. Results: the frequency of patients classified as low ALMI was 19%, whereas 45% of the patients were obese. Among the obese patients, 29% had SO. In patients with normal weight, those with low ALMI were younger and had worse pulmonary function, exercise capacity and quadriceps muscle function than those with normal ALMI (all p&lt;0.05). Overweight patients with low ALMI presented poorer pulmonary function and quadriceps muscle function (both strength and total work capacity). In obese class I patients, those with low ALMI showed lower quadriceps strength and maximal oxygen uptake acquired during cardiopulmonary exercise testing. Both male and female patients with SO showed lower quadriceps muscle function and reduced maximal exercise capacity compared to non-SO asthma patients. Conclusion/discussion: Approximately one in five asthma patients presented low ALM when age-sex-BMI-specific ALMI cut-offs were applied. Obesity is common among patients with asthma referred for PR. Among the obese patients a significant proportion presented SO. Low ASM and SO were associated with worse functional outcomes.
DOI: 10.5281/zenodo.7964925
title: Ambient Diffusion ZIP checkpoints

description: Checkpoints for the paper Ambient Diffusion in zip file.
DOI: 10.5281/zenodo.7964924
title: Ambient Diffusion ZIP checkpoints

description: Checkpoints for the paper Ambient Diffusion in zip file.
DOI: 10.34740/kaggle/ds/3311434
title: TempSense: Temperature and Sensor Data
DOI: 10.4121/20236473
title: Data belonging to the publication '500 million years of foraminiferal calcification'

description: This dataset contains the geochemical data for foraminiferal shells. This contains both published datasets as well as newly collected data (on Spirillinids and Carterinids). Environmental or experimental data (e.g. seawater temperature or pH) were copied as much as possible into the datasheet. Name of the first author and year of publication are also included. For all species, the taxonomy (class, order, familiy) was included and based on the Worms-website.
DOI: 10.4121/20236473.v1
title: Data belonging to the publication '500 million years of foraminiferal calcification'

description: This dataset contains the geochemical data for foraminiferal shells. This contains both published datasets as well as newly collected data (on Spirillinids and Carterinids). Environmental or experimental data (e.g. seawater temperature or pH) were copied as much as possible into the datasheet. Name of the first author and year of publication are also included. For all species, the taxonomy (class, order, familiy) was included and based on the Worms-website.
DOI: 10.5281/zenodo.7945009
title: VisualAtom-1k

description: VisualAtom is a cutting-edge artificial image dataset, specifically designed for pre-training deep learning models for image recognition tasks, such as Vision Transformers. Generated through the innovative synthesis of geometric contours, VisualAtom offers a rich and diverse synthetic images, achieved by assigning various stationary waveforms to the contour lines.<br> The primary goal of VisualAtom is to provide pre-training effect that rivals large real image datasets, such as ImageNet and JFT. By offering a wide variety of synthesized geometric contours, VisualAtom allows deep learning models to develop a robust understanding of diverse visual structures, thus enabling them to perform at comparable levels to models pre-trained on real images. Furthermore, the datasets and models are licensed for commercial use and are not restricted to educational or academic use only.<br> To facilitate easy access and customization, the generation scripts and usage instructions for VisualAtom are available on our GitHub page at https://github.com/masora1030/CVPR2023-FDSL-on-VisualAtom. Users are encouraged to explore the repository and generate and pre-train on VisualAtom to their specific needs, further expanding the possibilities of VisualAtom.
DOI: 10.5281/zenodo.7945008
title: VisualAtom-1k

description: VisualAtom is a cutting-edge artificial image dataset, specifically designed for pre-training deep learning models for image recognition tasks, such as Vision Transformers. Generated through the innovative synthesis of geometric contours, VisualAtom offers a rich and diverse synthetic images, achieved by assigning various stationary waveforms to the contour lines.<br> The primary goal of VisualAtom is to provide pre-training effect that rivals large real image datasets, such as ImageNet and JFT. By offering a wide variety of synthesized geometric contours, VisualAtom allows deep learning models to develop a robust understanding of diverse visual structures, thus enabling them to perform at comparable levels to models pre-trained on real images. Furthermore, the datasets and models are licensed for commercial use and are not restricted to educational or academic use only.<br> To facilitate easy access and customization, the generation scripts and usage instructions for VisualAtom are available on our GitHub page at https://github.com/masora1030/CVPR2023-FDSL-on-VisualAtom. Users are encouraged to explore the repository and generate and pre-train on VisualAtom to their specific needs, further expanding the possibilities of VisualAtom.
DOI: 10.35081/zhsq-5905
title: CIMEX LEPTULARUIS SDF
DOI: 10.4121/81ce53a4-e8b9-46b6-8a1b-552a89093f73.v1
title: Three-Dimensional elastoplastic analysis of strain-softening surrounding rock based on the non-linear bond-slip relationship considering hydraulic-mechanical coupling

description: In this study, a three-dimensional elastoplastic analysis of strain-softened surrounding rock is performed considering the hydraulic-mechanical coupling. A numerical iterative method for the analysis of the surrounding rock is proposed, and the corresponding calculation procedure is given. The method takes into account the relative slip between the anchors and the surrounding rock. The shear stress and axial force distributions of the anchors under the corresponding working conditions are calculated by the established calculation procedure and saved in the proposed dataset.
DOI: 10.4121/22210795.v1
title: Data from: Early detection of phytophthora using hyperspectral imaging pot-leaf experiment.

description: Potato plants were inoculated with Phytopthora infestance. The plants were imaged with a hyperspectral camera from above and from the side. Apart from that the plants were visual monitored by an expert. The data is collected in datasheet_leafsandstems.csv
DOI: 10.15151/esrf-es-1194196107
title: (Bio)transformation of W particles released in the environment (idem in-house IH-EV-42)

description: (Bio)transformation of W particles released in the environment. Beamline and spectrometer optimizations from 17th to 22th May, µfluidique experiment from 22th to 24th May. Interruption the 23th may during the day for a practical.
DOI: 10.17632/2k479wp6kc.1
title: Kameda.et.al._pnas_2023_maindataset

description: Dataset; Kameda et. al., Sensory and motor representations of internalized rhythms in the cerebellum and basal ganglia. Proc. Natl. Acad. Sci. U.S.A. (2023)
DOI: 10.17632/jhjpsv5tt4.1
title: The impact of decreasing the speed limit for motor vehicles on bicycle commuting

description: Data used to examine the effect of the reduction of the speed limit for motor vehicles on bicycle commuting in France. Raw data for Paris come from https://opendata.paris.fr, for Lyon from https://data.eco-counter.com, for Nantes from https://www.data.gouv.fr, for Montpellier from https://data.montpellier3m.fr and for Rennes from https://data.rennesmetropole.fr. The total cycling infrastructure is the sum of cycle paths, cycle lanes, special COVID-19 infrastructure, and other infrastructure. For Nantes and Montpellier, the data concerning dedicated COVID-19 infrastructure were added from https://ecf.com/dashboard. Data for the area of the cities comes from https://www.insee.fr. For the outcome of interest and precipitation level, the few missing values were imputed using principal components analysis. The city of Paris implemented the speed limit decrease on 31 August 2021, Nantes on 31 August 2020, Montpellier on 1 August 2021 and Rennes on 31 August 2020.
DOI: 10.17632/jhjpsv5tt4.2
title: The impact of decreasing the speed limit for motor vehicles on bicycle commuting

description: Data used to examine the effect of the reduction of the speed limit for motor vehicles on bicycle commuting in France. Raw data for Paris come from https://opendata.paris.fr, for Lyon from https://data.eco-counter.com, for Nantes from https://www.data.gouv.fr, for Montpellier from https://data.montpellier3m.fr and for Rennes from https://data.rennesmetropole.fr. The total cycling infrastructure is the sum of cycle paths, cycle lanes, special COVID-19 infrastructure, and other infrastructure. For Nantes and Montpellier, the data concerning dedicated COVID-19 infrastructure were added from https://ecf.com/dashboard. Data for the area of the cities comes from https://www.insee.fr. For the outcome of interest and precipitation level, the few missing values were imputed using principal components analysis. The city of Paris implemented the speed limit decrease on 31 August 2021, Nantes on 31 August 2020, Montpellier on 1 August 2021 and Rennes on 31 August 2020.
DOI: 10.17632/d657sx4mkv.1
title: Entomo-molecular surveillance of Aedes breeding sites reveals discarded tires as the key breeding sites during the intermittent periods of arboviral outbreaks, Eastern India

description: The data represents the sampling of Aedes from different locations and the results of identification and bionomics including larval and pupal survivability, fecundity, and other attributes during breeding and non-breeding seasons.
DOI: 10.17632/z78zz7mv7h.1
title: Data for speciation of ROG emissions from residential combustion

description: 1. Residential emission ratios
2. Measurement method statistics
3. Category mass fraction
4. OHR&SOAP
5. Annual ROG emissions
DOI: 10.17632/gshvgdv43d.1
title: Data on CSR, market share and profitability of manufacturing firms in Ghana

description: The data set is sourced from the annual reports of ISO 90001 certified manufacturing companies in Ghana. The data set is generated purely for academic purposes on the study of Corporate Social Responsibility and its effect on market share and profitability of the companies involved. This will help in the policy making and contribute to the extant literature on the subject matter.
DOI: 10.17632/mm7yr6t7pp.1
title: TABLETS_MANUFACTURING: Multi-level, multi-product capacitated lot-sizing problems with linked lot sizes and backorders

description: This dataset contains anonymized data of five multi-level problem instances of a tablets manufacturing process. The dataset was created in June 2021 based on the research activities of the publisher's dissertation. Moreover, the dataset is stored in Excel and contains eleven tabs. Each tab contains one table with information so that data can be translated into MIP coefficients of the multi-level capacitated lot-sizing problem with linked lot sizes and backorders (MLCLSP-L-B).

Data source files:
- data.xlsx: Anonymized real-world tablets manufacturing data of 
    - SET1: Two packaging robots (1 & 5)
    - SET2: Two bulking mixers (3 & 7)
    - SET3: Two bulking mixers (4 & 8)
    - SET4: Two packaging robots (2 & 6)
    - SET5: API, bulking and packaging machines (1 & 5 & 2 & 6 & 14)
DOI: 10.17632/cfx3j2wtyz.1
title: Data for: Kinetics, stoichiometry, and mechanism of arsenopyrite-water interaction under anoxic conditions

description: Raw data for XRD, XPS, and Zeta potential figures in the manuscript and supplementary Material to be published by Geochimica et Cosmochimica Acta as "Kinetics, stoichiometry, and mechanism of arsenopyrite-water interaction under anoxic conditions".
DOI: 10.17632/vfjjxyx3fj.1
title: Evidence based Intrapartum care practice and the associated factors 

description: The dataset we used during the analysis
DOI: 10.17632/ydspw5pxtd.1
title: Dataset on land surface temperature and its influencing environmental factors in the Upper Awash Basin, Ethiopia

description: This geospatial database gives the land use land cover (LULC) type, land surface temperature (LST), normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBaI), albedo and elevation in the Upper Awash basin of Ethiopia.  To extract information, 5446 sample points were randomly selected in the study area using the 'create random points' tool in ArcGIS 10.8 software, and the values of each parameter were extracted for each point using the 'extract multi values to points' tools and the data were used for the analysis of the spatial heterogeneity of LST and factors affecting LST. In addition, this database can be used for various environmental applications, e.g. Modeling of land surface processes and analysis of climate change studies that require spatial information such as LULC, LST, NDVI and other environmental datasets.
DOI: 10.17632/stnvdsfkx9.1
title: ELECTORAL VIOLENCE IN 2023 PRESIDENTIAL ELECTION AND THE FUTURE OF DEMOCRACY IN NIGERIA

description: This study provided an overview of the electoral violence witnessed during Nigeria's 2023 presidential election and its impact on the future of democracy in the country. It highlighted the historical context of Nigeria's transition to democracy in 1999 and the challenges faced during the electoral process. The study also discusses the preparations leading up to the 2023 election, including the selection of presidential and vice-presidential candidates and the proactive measures taken by the Independent National Electoral Commission (INEC) to ensure a smooth electoral process. It emphasized the use of technological advancements and the efforts to expand voter registration and polling units. However, on election day, the delay in voting commencement at many polling units raised concerns about the efficiency and preparedness of the electoral Umpires. The researchers concluded by pointing out the implications of these challenges on the integrity of the election and the future of democracy in Nigeria.
DOI: 10.6084/m9.figshare.23123078
title: Table S1.xlsx

description: Table S1. Detailed information for all detected DEGs
DOI: 10.6084/m9.figshare.23123078.v1
title: Table S1.xlsx

description: Table S1. Detailed information for all detected DEGs
DOI: 10.6084/m9.figshare.22708930.v1
title: Direct Allylic Acylation via Cross-Coupling Involving Cooperative N‑Heterocyclic Carbene, Hydrogen Atom Transfer, and Photoredox Catalysis

description: Direct Allylic Acylation via Cross-Coupling Involving Cooperative N‑Heterocyclic Carbene, Hydrogen Atom Transfer, and Photoredox Catalysis
DOI: 10.6084/m9.figshare.22677364.v1
title: Comparative mRNA booster effectiveness against death or hospitalization with COVID-19 pneumonia across at-risk US Veteran populations

description: This data supports the figures presented within the main manuscript.
DOI: 10.6084/m9.figshare.22708930
title: Direct Allylic Acylation via Cross-Coupling Involving Cooperative N‑Heterocyclic Carbene, Hydrogen Atom Transfer, and Photoredox Catalysis

description: Direct Allylic Acylation via Cross-Coupling Involving Cooperative N‑Heterocyclic Carbene, Hydrogen Atom Transfer, and Photoredox Catalysis
DOI: 10.6084/m9.figshare.22677364
title: Comparative mRNA booster effectiveness against death or hospitalization with COVID-19 pneumonia across at-risk US Veteran populations

description: This data supports the figures presented within the main manuscript.
DOI: 10.6084/m9.figshare.22779005.v1
title: Simultaneous sulfide and methane oxidation by an extremophile

description: RNAseq data from different cultures. Source data for the figures
DOI: 10.6084/m9.figshare.22779005
title: Simultaneous sulfide and methane oxidation by an extremophile

description: RNAseq data from different cultures. Source data for the figures
DOI: 10.17632/6n8brzcg7t.1
title: Nguyen-Viet, Bang (2023). Dataset on the effect of gamification elements on learning effectiveness: A case study of Vietnamese students

description: Data were collected through direct distribution and collection from students and graduate students in Hanoi and Ho Chi Minh City, Vietnam from January to March 2023. The data set includes 255 valid responses.
DOI: 10.17632/6n8brzcg7t.2
title: Nguyen-Viet, Bang (2023). Dataset on the effect of gamification elements on learning effectiveness: A case study of Vietnamese students

description: Data were collected through direct distribution and collection from students and graduate students in Hanoi and Ho Chi Minh City, Vietnam from January to March 2023. The data set includes 255 valid responses.
DOI: 10.17632/zr5nyv3n7c.1
title: The Effect of Emotional Stimuli on Cognitive Bias and Information Processing in Unmedicated Patients with Depression

description: The raw data for all analyses in the paper: "The Effect of Emotional Stimuli on Cognitive Bias and Information Processing in Unmedicated Patients with Depression"
DOI: 10.17632/9dm7hghxbz.1
title: Investigating the Impact of User Experience in Turkeys Online Bookstore Application of Flow Theory

description: DATASET Investigating the Impact of User Experience in Turkeys Online Bookstore Application of Flow Theory
DOI: 10.17632/zr5nyv3n7c.2
title: The Effect of Emotional Stimuli on Cognitive Bias and Information Processing in Unmedicated Patients with Depression

description: The raw data for all analyses in the paper: "The Effect of Emotional Stimuli on Cognitive Bias and Information Processing in Unmedicated Patients with Depression"
DOI: 10.17632/wvjd82fmhm.1
title: Ceja et al., 2023 - GLN and Dairy Calf Supplementary Data

description: Ceja et al. - J. Dairy Sci. - Supplementary Figures 1, 2 and 3