cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1112065256
title: Valence state of Eu and magnetic correlations investigation by XANES and XMCD in the novel Eu2Pd2Sn compound

description: We aim to investigate the electronic structure and the magnetic behavior of the Eu2Pd2Sn intermetallic compound via X-ray absorption near edge spectroscopy (XANES) and X-ray magnetic circular dichroism (XMCD) as a function of the applied pressure and of the magnetic field. Rare Earths (RE) are usually found in a 3+ state, but Eu and Yb can also exhibit a 2+ state or even intermediate valence, inducing anomalous effects in Eu and Yb-based intermetallics, as heavy fermion behavior, Kondo interactions and superconductivity. Eu compounds are less studied than Yb compounds, due to the very complex synthesis method (both RE have a high vapor pressure, but Eu is more sensitive to oxygen and moisture). We want to investigate the magnetic properties and the valence state of Eu in a new compound Eu2Pd2Sn under high pressure; this compound exhibits a 2+ state and incommensurate antiferromagnetic Eu ordering at low T and room pressure, as probed by neutron powder diffraction analysis.
DOI: 10.6084/m9.figshare.22698341.v1
title: Effect of α<sup>+</sup> Thalassemia on the Severity of <i>Plasmodium falciparum</i> Malaria in Different Sickle Cell Genotypes in Indian Adults: A Hospital-Based Study

description: There is a paucity of literature on the association of α<sup>+</sup>-thalassemia, sickle-cell hemoglobin disorders, and malaria in India. This study aimed to understand the effect of α<sup>+</sup>-thalassemia on the severity of <i>Plasmodium falciparum</i> malaria in adults with respect to sickle-cell genotypes. The study subjects were categorized into ‘severe-malaria’ and ‘uncomplicated-malaria’ and age-gender matched ‘control’ groups. Sickle-cell and α<sup>+</sup>-thalassemia were investigated in all the recruited subjects. The effect of α<sup>+</sup>-thalassemia on the severity of malaria was analyzed in HbAA and sickle-cell genotypes (HbAS and HbSS) separately. The prevalence of α<sup>+</sup>-thalassemia in various groups ranged from 41.5% to 81.8%. The prevalence of α<sup>+</sup>-thalassemia was lower (OR = 1.64; <i>p =</i> 0.0013) in severe malaria (41.5%) as compared to healthy controls (53.8%) with HbAA genotype. In contrast, in HbAS genotype, the prevalence of α<sup>+</sup>-thalassemia was higher (OR = 4.11; <i>p =</i> 0.0002) in severe malaria (81.8%) compared to controls (52.2%). In severe malaria with HbAA genotype, there was a significantly higher hemoglobin level and low MCV and MCH level in patients with α<sup>+</sup>-thalassemia compared to the normal α-globin genotype. Further, the incidence of cerebral malaria, hepatopathy, and mortality was lower in patients (HbAA) with α<sup>+</sup>-thalassemia as compared to normal α-globin genotype (HbAA). In severe malaria with either HbAS or HbSS genotype, only a few parameters showed statistical differences with respect to α<sup>+</sup>-thalassemia. Low prevalence of α<sup>+</sup>-thalassemia in severe malaria with HbAA genotype compared to healthy controls with HbAA genotype indicates the protective effect of α<sup>+</sup>-thalassemia against severe malaria. However, the high prevalence of α<sup>+</sup>-thalassemia in patients with HbAS genotype depicts its interference in the protective effect of sickle-cell against severe malaria.
DOI: 10.6084/m9.figshare.22698341
title: Effect of α<sup>+</sup> Thalassemia on the Severity of <i>Plasmodium falciparum</i> Malaria in Different Sickle Cell Genotypes in Indian Adults: A Hospital-Based Study

description: There is a paucity of literature on the association of α<sup>+</sup>-thalassemia, sickle-cell hemoglobin disorders, and malaria in India. This study aimed to understand the effect of α<sup>+</sup>-thalassemia on the severity of <i>Plasmodium falciparum</i> malaria in adults with respect to sickle-cell genotypes. The study subjects were categorized into ‘severe-malaria’ and ‘uncomplicated-malaria’ and age-gender matched ‘control’ groups. Sickle-cell and α<sup>+</sup>-thalassemia were investigated in all the recruited subjects. The effect of α<sup>+</sup>-thalassemia on the severity of malaria was analyzed in HbAA and sickle-cell genotypes (HbAS and HbSS) separately. The prevalence of α<sup>+</sup>-thalassemia in various groups ranged from 41.5% to 81.8%. The prevalence of α<sup>+</sup>-thalassemia was lower (OR = 1.64; <i>p =</i> 0.0013) in severe malaria (41.5%) as compared to healthy controls (53.8%) with HbAA genotype. In contrast, in HbAS genotype, the prevalence of α<sup>+</sup>-thalassemia was higher (OR = 4.11; <i>p =</i> 0.0002) in severe malaria (81.8%) compared to controls (52.2%). In severe malaria with HbAA genotype, there was a significantly higher hemoglobin level and low MCV and MCH level in patients with α<sup>+</sup>-thalassemia compared to the normal α-globin genotype. Further, the incidence of cerebral malaria, hepatopathy, and mortality was lower in patients (HbAA) with α<sup>+</sup>-thalassemia as compared to normal α-globin genotype (HbAA). In severe malaria with either HbAS or HbSS genotype, only a few parameters showed statistical differences with respect to α<sup>+</sup>-thalassemia. Low prevalence of α<sup>+</sup>-thalassemia in severe malaria with HbAA genotype compared to healthy controls with HbAA genotype indicates the protective effect of α<sup>+</sup>-thalassemia against severe malaria. However, the high prevalence of α<sup>+</sup>-thalassemia in patients with HbAS genotype depicts its interference in the protective effect of sickle-cell against severe malaria.
DOI: 10.17632/t2j4gft949.1
title: Gender Yield Gap Data Set Malawi 

description: Data Shows Decomposing of Gender Yield Gaps. We estimate the groundnut gender yield gap and analyse its sources. We find a significant gender yield gap in favour of matrilineal households compared to patrilineal households. We also find a significant gender yield gap between male and female managed plots in matrilineal households but an insignificant gap in patrilineal households. Further, a significant gender yield gap is detected between male and jointly managed plots in matrilineal and patrilineal households.
DOI: 10.5281/zenodo.7919391
title: Dataset supplementing " X. Zhang, B. Ojha, H. Bichlmaier, I. Hartmann and H. Kohler; Extensive Gaseous Emissions Reduction of Firewood-Fueled Low Power Fireplaces by a Gas Sensor-Based Advanced Combustion Airflow Control System and Catalytic Post-Oxidation, Sensors, 2023"

description: Dataset supplementing " X. Zhang, B. Ojha, H. Bichlmaier, I. Hartmann and H. Kohler; Extensive Gaseous Emissions Reduction of Firewood-Fueled Low Power Fireplaces by a Gas Sensor-Based Advanced Combustion Airflow Control System and Catalytic Post-Oxidation, Sensors, 2023"
DOI: 10.5281/zenodo.7919390
title: Dataset supplementing " X. Zhang, B. Ojha, H. Bichlmaier, I. Hartmann and H. Kohler; Extensive Gaseous Emissions Reduction of Firewood-Fueled Low Power Fireplaces by a Gas Sensor-Based Advanced Combustion Airflow Control System and Catalytic Post-Oxidation, Sensors, 2023"

description: Dataset supplementing " X. Zhang, B. Ojha, H. Bichlmaier, I. Hartmann and H. Kohler; Extensive Gaseous Emissions Reduction of Firewood-Fueled Low Power Fireplaces by a Gas Sensor-Based Advanced Combustion Airflow Control System and Catalytic Post-Oxidation, Sensors, 2023"
DOI: 10.17632/vbzbzhrw98.1
title: Hyaluronan driven by epithelial aPKC deficiency remodels the microenvironment and creates a therapeutic vulnerability in mesenchymal colorectal cancer

description: Mesenchymal colorectal cancer (mCRC) is microsatellite stable (MSS), highly desmoplastic, with CD8+ T cells excluded to the stromal periphery, resistant to immunotherapy, and is driven by low levels of the atypical PKCs (aPKCs). We show here that a salient feature of these tumors is the accumulation of hyaluronan (HA), which along with reduced aPKC levels, predict poor survival. HA promotes epithelial heterogeneity, and the emergence of a tumor fetal metaplastic cell population (TFMC) endowed with invasive cancer features through a network of interactions with activated fibroblasts. TFMCs are sensitive to HA deposition in vivo and organoids, and their metaplastic markers have prognostic value. We demonstrate that in vivo HA degradation with a clinical dose of hyaluronidase impairs mCRC tumorigenesis and liver metastasis and enables immune checkpoint blockade therapy by promoting the recruitment of B and CD8+ T cells, including a proportion with resident memory features and blocking immunosuppression.
DOI: 10.5258/soton/d2614
title: Interactive Dashboards, resources for manuscript: "Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study "

description: This data provides link to interactive dashboards in ArcGIS that complement the manuscript of "Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study".
DOI: 10.5281/zenodo.7911882
title: EVIDENT H2020– Environmental data for Sweden cities Dataset

description: The EVIDENT Discrete Choice Experiment seeks to explore the impact of energy-related financial literacy, consumer motivation, point-of-sale information and demographic factors on discount rates and willingness to pay for efficient household appliances. Across a series of choice experiments, the impact of factors such as financial information (purchase price, operating cost, salience of financial information), risk reduction (i.e. extended warranty), and financial capacity (i.e. low-cost loans) on implicit discount rates for home appliances is examined. Further, the impact of direct rebound rates on efficient appliance selection is examined.
description: weather Sweden environmental data Swedish climate data Sweden weather data Sweden temperature data Sweden humidity data Swedish meteorological data Sweden city climate data Swedish city weather data Sweden city temperature data Sweden city humidity data Swedish urban climate data Sweden urban weather data Sweden urban temperature data Sweden urban humidity data Dataset of Sweden city temperatures and humidities Dataset of environmental data for 700 Swedish cities Swedish city climate and weather dataset
DOI: 10.5281/zenodo.7912817
title: EVIDENT H2020– Environmental data for Sweden cities Dataset

description: The EVIDENT Discrete Choice Experiment seeks to explore the impact of energy-related financial literacy, consumer motivation, point-of-sale information and demographic factors on discount rates and willingness to pay for efficient household appliances. Across a series of choice experiments, the impact of factors such as financial information (purchase price, operating cost, salience of financial information), risk reduction (i.e. extended warranty), and financial capacity (i.e. low-cost loans) on implicit discount rates for home appliances is examined. Further, the impact of direct rebound rates on efficient appliance selection is examined.
description: weather Sweden environmental data Swedish climate data Sweden weather data Sweden temperature data Sweden humidity data Swedish meteorological data Sweden city climate data Swedish city weather data Sweden city temperature data Sweden city humidity data Swedish urban climate data Sweden urban weather data Sweden urban temperature data Sweden urban humidity data Dataset of Sweden city temperatures and humidities Dataset of environmental data for 700 Swedish cities Swedish city climate and weather dataset
DOI: 10.6084/m9.figshare.22793972
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknik Bangunan

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknik Bangunan Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.6084/m9.figshare.22793972.v1
title: Rekapitulasi Survei Mahasiswa Tentang Topik Skripsi di Prodi Pendidikan Teknik Bangunan

description: Dokumen ini adalah rekapitulasi hasil survei terhadap mahasiswa Prodi Pendidikan Teknik Bangunan Universitas Negeri Medan tahun angkatan 2019. Survei ini bertujuan untuk mengetahui kebermanfaatan ChatGPT sebagai solusi alternatif untuk menemukan topik skripsi bagi mahasiswa yang belum memiliki topik skripsi sesuai dengan bidangnya.
DOI: 10.5281/zenodo.7912833
title: EVIDENT H2020– Environmental data for Sweden cities Dataset

description: EVIDENT H2020- Environmental data for Swedish Cities Dataset Environmental data from 615 cities in Sweden Weather, in combination with residential characteristics and electricity consumption, might be useful to consider in association with other datasets. In the instance of EVIDENT, they will be examined in combination with electricity consumption to establish the correlation with weather and to examine if weather conditions contribute and should be considered for policy development. The data have been collected from 18.10.2021 to 4.05.2023 and refer to 615 Swedish cities. The collection has been carried out with agents created and by calling in API. In the file "Sweden_Cities_Avg_DaySect.xlsx", all cities have averaged from all measures. Also, the day has been divided into 3 sections and the averages apply to each section of the day. In each city, on average, there are 6 measurements per day. The source dataset is "swedish_cities_environmental.csv.". example country city temperature feels_like temp_min temp_max pressure humidity wind_speed wind_deg sunrise sunset weather_description There are 2 more datasets, "swedish cities environmental_tranformDay.csv" and "swedish cities environmental_week.csv", and refer to transformations made in the original dataset.<br> The first file is about the day analysis, where the day has been divided into 3 sections and depending on the time of the measurement, a new column has been created in the Day section and can take values 0,1,2. In addition, there is the column day_hours which is the duration of the day in seconds from sunrise to sunset. Finally, there is pressure, humidity and wind speed. In the second file, the column weekday has been added and relates to the day of the week (e.g. Monday), and the daily analysis has been removed. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in are described in deliverable D1.2 Assessing behavioural biases and financial literacy and deliverable <strong>D1.3</strong> Specifications of Big Data Analytics, in section 4 while the final design is reported in <strong>D3.2</strong> Implementation of preparatory actions for RCT, surveys and serious game.
description: weather Sweden environmental data Swedish climate data Sweden weather data Sweden temperature data Sweden humidity data Swedish meteorological data Sweden city climate data Swedish city weather data Sweden city temperature data Sweden city humidity data Swedish urban climate data Sweden urban weather data Sweden urban temperature data Sweden urban humidity data Dataset of Sweden city temperatures and humidities Dataset of environmental data for 700 Swedish cities Swedish city climate and weather dataset
DOI: 10.5281/zenodo.7911881
title: EVIDENT H2020– Environmental data for Sweden cities Dataset

description: EVIDENT H2020- Environmental data for Swedish Cities Dataset Environmental data from 615 cities in Sweden Weather, in combination with residential characteristics and electricity consumption, might be useful to consider in association with other datasets. In the instance of EVIDENT, they will be examined in combination with electricity consumption to establish the correlation with weather and to examine if weather conditions contribute and should be considered for policy development. The data have been collected from 18.10.2021 to 4.05.2023 and refer to 615 Swedish cities. The collection has been carried out with agents created and by calling in API. In the file "Sweden_Cities_Avg_DaySect.xlsx", all cities have averaged from all measures. Also, the day has been divided into 3 sections and the averages apply to each section of the day. In each city, on average, there are 6 measurements per day. The source dataset is "swedish_cities_environmental.csv.". example country city temperature feels_like temp_min temp_max pressure humidity wind_speed wind_deg sunrise sunset weather_description There are 2 more datasets, "swedish cities environmental_tranformDay.csv" and "swedish cities environmental_week.csv", and refer to transformations made in the original dataset.<br> The first file is about the day analysis, where the day has been divided into 3 sections and depending on the time of the measurement, a new column has been created in the Day section and can take values 0,1,2. In addition, there is the column day_hours which is the duration of the day in seconds from sunrise to sunset. Finally, there is pressure, humidity and wind speed. In the second file, the column weekday has been added and relates to the day of the week (e.g. Monday), and the daily analysis has been removed. More information can be found on the public deliverables of the EVIDENT project https://evident-h2020.eu/deliverables/. More specifically, the experiment's theoretical framework and motivation are described in are described in deliverable D1.2 Assessing behavioural biases and financial literacy and deliverable <strong>D1.3</strong> Specifications of Big Data Analytics, in section 4 while the final design is reported in <strong>D3.2</strong> Implementation of preparatory actions for RCT, surveys and serious game.
description: weather Sweden environmental data Swedish climate data Sweden weather data Sweden temperature data Sweden humidity data Swedish meteorological data Sweden city climate data Swedish city weather data Sweden city temperature data Sweden city humidity data Swedish urban climate data Sweden urban weather data Sweden urban temperature data Sweden urban humidity data Dataset of Sweden city temperatures and humidities Dataset of environmental data for 700 Swedish cities Swedish city climate and weather dataset
DOI: 10.5281/zenodo.7919431
title: Dataset for "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau"

description: The numerical code and related data for the paper "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau".
DOI: 10.5281/zenodo.7919430
title: Dataset for "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau"

description: The numerical code and related data for the paper "Discovery of a Geomorphological Analog to Martian Araneiforms in the Qaidam Basin, Tibetan Plateau".
DOI: 10.6084/m9.figshare.22793690
title: Raw data of identifications of cuticular compounds found in tritrophic interactions and feeding experiments

description: Raw data of identifications of cuticular compounds found on <em>Luehea grandiflora</em>, <em>Aetalion reticulatum,</em> and <em>Aulacothrips dictyotus </em>and feeding experiments of <em>Aulacothrips dictyotus</em> from the manuscript Lima et al. Cuticular hydrocarbons across tritrophic interactions.
DOI: 10.6084/m9.figshare.22793690.v1
title: Raw data of identifications of cuticular compounds found in tritrophic interactions and feeding experiments

description: Raw data of identifications of cuticular compounds found on <em>Luehea grandiflora</em>, <em>Aetalion reticulatum,</em> and <em>Aulacothrips dictyotus </em>and feeding experiments of <em>Aulacothrips dictyotus</em> from the manuscript Lima et al. Cuticular hydrocarbons across tritrophic interactions.
DOI: 10.5281/zenodo.7913318
title: RFVibe-dataset

description: Processed dataset for "Contactless Material Identification with Millimeter Wave Vibration".
DOI: 10.5281/zenodo.7913317
title: RFVibe-dataset

description: Processed dataset for "Contactless Material Identification with Millimeter Wave Vibration".
DOI: 10.5281/zenodo.7916840
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2008

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2008. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2007</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2009</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2008 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).