cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24762671.v1
title: Performance assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests

description: The present study evaluates the accuracy of SNAP-Sentinel-2 Prototype Processor (SL2P) derived Leaf Area Index (LAI) and proposes a new simple method to generate new datasets of LAI through data fusion. Rigorous optimization of the data fusion approaches (Kalman filter and Linear weighted) were performed for the generation of new LAI products over the complex hilly terrain of the Himalayan region. The results showed a good correlation (<i>r</i> = 0.79) and low error (RMSE = 1.63) between SNAP-derived (at 20 m) and ground-observed LAI. A lower correlation was obtained between the ground observed LAI data and the corresponding global LAI products for the Moderate Resolution Imaging Spectroradiometer (MODIS) (<i>r</i> = 0.1, RMSE = 1.19), Copernicus Global Land Service (CGLS) (<i>r</i> = 0.1, RMSE = 0.61) and the Visible Infrared Imaging Radiometer Suite (VIIRS) (<i>r</i> = 0.04, RMSE = 1.25). Notably, after implementing the data fusion, both SNAP-derived LAI and Global LAI products exhibited much-improved performance statistics with ground observed data sets.
DOI: 10.6084/m9.figshare.21923703.v1
title: SBAS-InSAR analysis of regional ground deformation accompanying coal fires in Jharia Coalfield, India

description: The present study explores a holistic approach toward better assimilation of the contextual relationship between coal fire-induced land subsidence in the Jharia Coalfield (JCF), India. For the process, 31 consecutive Sentinel-1A and Landsat 8 scenes of 2018 were processed to estimate mean Line-of-Sight displacement and Land Surface Temperature (LST) in JCF, respectively. The results indicated that the displacement rate in JCF significantly varies at active mine benches and overburden dump, and high degree of displacement owing to the additive compression inducted along with the volume reduction at the subsurface. The estimated displacement accounts were then spatially correlated with the thermally anomalous pixels to determine the categories of subsidence. Further, the contextual relationship between the displacements estimates (dependent variable) with a set of explanatory variables, i.e. pixel integrated LST was tested using Binary Logistic Regression. The performance of the model was cross-validated using statistical parameters derived from the confusion matrix.
DOI: 10.6084/m9.figshare.24640125
title: Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data

description: Green space (GS) is a crucial resource in urban areas, but not spatially uniformly distributed. We compare the availability of GS on a national scale using green land cover (GLC) and public green space (PGS). Using spatial census data we analyse GS availability and accessibility for the German population. The average GS availability differs by a factor of three between GLC and PGS. 19.2 % of Germans find less than the WHO defined target for PGS in their neighbourhood. PGS is less equally distributed among the population than GLC, and green space equity varies significantly between rural and urban areas. In areas with multi-family homes, a higher share of the population has access to sufficient PGS than in areas with predominantly single-family homes. We find a negative relation between GLC availability and share of immigrant population, which does not extend to PGS.
DOI: 10.6084/m9.figshare.24640125.v1
title: Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data

description: Green space (GS) is a crucial resource in urban areas, but not spatially uniformly distributed. We compare the availability of GS on a national scale using green land cover (GLC) and public green space (PGS). Using spatial census data we analyse GS availability and accessibility for the German population. The average GS availability differs by a factor of three between GLC and PGS. 19.2 % of Germans find less than the WHO defined target for PGS in their neighbourhood. PGS is less equally distributed among the population than GLC, and green space equity varies significantly between rural and urban areas. In areas with multi-family homes, a higher share of the population has access to sufficient PGS than in areas with predominantly single-family homes. We find a negative relation between GLC availability and share of immigrant population, which does not extend to PGS.
DOI: 10.6084/m9.figshare.23968019
title: Consequences of spatial structure in soil–geomorphic data on the results of machine learning models

description: In this paper, we examined the degree to which inherent spatial structure in soil properties influences the outcomes of machine learning (ML) approaches to predicting soil spatial variability. We compared the performances of four ML algorithms (support vector machine, artificial neural network, random forest, and random forest for spatial data) against two non-ML algorithms (ordinary least squares regression and spatial filtering regression). None of the ML algorithms produced residuals that had lower mean values or were less autocorrelated over space compared with the non-ML approaches. We recommend the use of random forest when a soil variable of interest is weakly autocorrelated (Moran’s <i>I</i> &lt; 0.1) and spatial filtering regression when it is relatively strongly autocorrelated (Moran’s <i>I</i> &gt; 0.4). Overall, this work opens the door to a more consistent selection of model algorithms through the establishment of threshold criteria for spatial autocorrelation of input variables.
DOI: 10.6084/m9.figshare.22194393
title: An adaptive spectral index for carbonate rocks using OLI Landsat-8 imagery

description: The accurate characterization of carbonate rocks is crucial for determining the potential for exploring outcrops in the oil industry. Modern remote sensing instruments have played an important role in estimating mineral characteristics in the most varied scales. However, mathematical expressions suggested for converting radiance values to mineral information are often designed to work in only one particular territory. At the same time, the few general solutions existing tend to achieve overall poor results. In this paper, we propose an adaptive approach to estimate subpixel amounts of carbonate rocks using OLI-Landsat 8 image data. The main formulation is derived from exhaustive analysis of the spectral behavior of several carbonate materials. The formulation is subsequently adapted through the use of a genetic algorithm to work on diverse situations. Experiments have demonstrated the adaptability of the method for different environments, as well as its higher performance when compared with existing carbonate indices.
DOI: 10.6084/m9.figshare.23968019.v1
title: Consequences of spatial structure in soil–geomorphic data on the results of machine learning models

description: In this paper, we examined the degree to which inherent spatial structure in soil properties influences the outcomes of machine learning (ML) approaches to predicting soil spatial variability. We compared the performances of four ML algorithms (support vector machine, artificial neural network, random forest, and random forest for spatial data) against two non-ML algorithms (ordinary least squares regression and spatial filtering regression). None of the ML algorithms produced residuals that had lower mean values or were less autocorrelated over space compared with the non-ML approaches. We recommend the use of random forest when a soil variable of interest is weakly autocorrelated (Moran’s <i>I</i> &lt; 0.1) and spatial filtering regression when it is relatively strongly autocorrelated (Moran’s <i>I</i> &gt; 0.4). Overall, this work opens the door to a more consistent selection of model algorithms through the establishment of threshold criteria for spatial autocorrelation of input variables.
DOI: 10.6084/m9.figshare.22194393.v2
title: An adaptive spectral index for carbonate rocks using OLI Landsat-8 imagery

description: The accurate characterization of carbonate rocks is crucial for determining the potential for exploring outcrops in the oil industry. Modern remote sensing instruments have played an important role in estimating mineral characteristics in the most varied scales. However, mathematical expressions suggested for converting radiance values to mineral information are often designed to work in only one particular territory. At the same time, the few general solutions existing tend to achieve overall poor results. In this paper, we propose an adaptive approach to estimate subpixel amounts of carbonate rocks using OLI-Landsat 8 image data. The main formulation is derived from exhaustive analysis of the spectral behavior of several carbonate materials. The formulation is subsequently adapted through the use of a genetic algorithm to work on diverse situations. Experiments have demonstrated the adaptability of the method for different environments, as well as its higher performance when compared with existing carbonate indices.
DOI: 10.6084/m9.figshare.24089666
title: Blue-green water resource availability dynamics in the upper Awash basin, central Ethiopia: implications for agricultural water scarcity assessment

description: Quantifying and characterizing the spatial distribution of freshwater availability and water scarcity plays an indispensable role in managing water resources in a basin. This study aimed at quantifying green and blue water resource availability using an eco-hydrological model under different land use land cover conditions between 2000–2010 and 2020 in the upper Awash basin, central Ethiopia. Further, the agricultural water scarcity is assessed for dominantly cultivated crops in the basin. The freshwater components such as the green water (GW) flow (∼1041–1240 mm/yr), blue water (BW) flow (277–304 mm/yr), and GW storage (809-872 mm/yr) were observed to be high in the western highlands compared to the central and eastern parts of the basin. The results of GW scarcity indices show low to moderate scarcity for rainfed crops, and moderate to significant BW scarcity for irrigated sugarcane. Integrating GW potential to reduce BW scarcity in the basin is thus crucial.
DOI: 10.6084/m9.figshare.24089666.v1
title: Blue-green water resource availability dynamics in the upper Awash basin, central Ethiopia: implications for agricultural water scarcity assessment

description: Quantifying and characterizing the spatial distribution of freshwater availability and water scarcity plays an indispensable role in managing water resources in a basin. This study aimed at quantifying green and blue water resource availability using an eco-hydrological model under different land use land cover conditions between 2000–2010 and 2020 in the upper Awash basin, central Ethiopia. Further, the agricultural water scarcity is assessed for dominantly cultivated crops in the basin. The freshwater components such as the green water (GW) flow (∼1041–1240 mm/yr), blue water (BW) flow (277–304 mm/yr), and GW storage (809-872 mm/yr) were observed to be high in the western highlands compared to the central and eastern parts of the basin. The results of GW scarcity indices show low to moderate scarcity for rainfed crops, and moderate to significant BW scarcity for irrigated sugarcane. Integrating GW potential to reduce BW scarcity in the basin is thus crucial.
DOI: 10.5281/zenodo.10433623
title: Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States

description: Dataset for the "Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States" paper
DOI: 10.5281/zenodo.10433624
title: Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States

description: Dataset for the "Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States" paper
DOI: 10.5281/zenodo.10442896
title: Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States

description: Dataset for the "Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States" paper
DOI: 10.21227/vm3z-ww28
title: NANCY SNS JU Project "Greek In-lab Testbed Dataset 1"

description: The dataset is the experimental output of a 5G New Radio (NR) coverage expansion use case in the context of the NANCY project (https://nancy-project.eu/). Two experimental scenarios were carried out, namely a) a scenario where a user equipment (UE) is directly connected to a Base Station (BS) through a 5G NR link, and b) a scenario where an intermediate node is employed, which acts as a relay between the base station and the UE. To this end, two 5G BSs were deployed, using Ettus Research USRP B210 devices. Also, two 5G modules equipped with custom SIM cards were used as end devices that connect to the BSs. From a software perspective, the srsRAN was used to deploy the USRP-based BSs, while the Open5GS software was used for Core Network functionality. Furthermore, iPerf3 and VLC Media Player were utilized to generate network traffic between the BS and the end device.The dataset’s potential applications are wide; for instance, it can be used to provide insights into how the different video streaming resolutions affect the network load. The data collected from the video streaming sessions was critical in evaluating the network's ability to handle video content of varying quality. In this respect, higher video resolutions resulted in more data-intensive streaming and higher requirements in terms of network capacity Furthermore, the dataset can be leveraged by Machine Learning (ML) and Artificial Intelligence (AI) algorithms for proactively orchestrating the network resources to maximize the users’ quality of experience and quality of service.The NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096456.
DOI: 10.5281/zenodo.10442933
title: acanthis_flammea_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442934
title: acanthis_flammea_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442960
title: carduelis_citrinella_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442961
title: carduelis_citrinella_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24850551
title: ­Compromise or choose: Shared movement decisions in wild vulturine guineafowl

description: Shared-decision making is beneficial for the maintenance of group-living. However, little is known about whether consensus decision-making follows similar processes across different species. Addressing this question requires robust quantification of how individuals move relative to each other. Here we use high-resolution GPS-tracking of two vulturine guineafowl (<i>Acryllium vulturinum</i>) groups to test the predictions from a classic theoretical model of collective motion. We show that, in both groups, all individuals can successfully initiate directional movements, although males are more likely to be followed than females. When multiple group members initiate simultaneously, follower decisions depend on directional agreement, with followers compromising directions if the difference between them is small or choosing the majority direction if the difference is large. By aligning with model predictions and replicating the findings of a previous field study on olive baboons (<i>Papio anubis</i>), our results suggest that a common process governs collective decision-making in moving animal groups.We used the adjusted code from Strandburg-Peshkin et al. 2015 Science.
DOI: 10.5281/zenodo.10442978
title: linurgus_olivaceus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442979
title: linurgus_olivaceus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442997
title: serinus_pusillus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442998
title: serinus_pusillus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10442972
title: Generation of Random laser from Dye-Derived Red-Emitting Carbon Dots

description: Carbon dots are carbon-based nanoparticles renowned for their intense light-emitting capabilities covering the whole visible light range.  Here, we overcome these problems by solvothermally synthesizing carbon dots starting from Neutral Red, a common red-emitting dye, as a molecular precursor. The obtained nanoparticles are highly luminescent in the red region, with a quantum yield comparable to that of the starting dye. Most importantly, the nanoparticle carbogenic matrix protects the Neutral Red molecules from photobleaching under ultraviolet excitation while preventing aggregation-induced quenching, thus allowing solid-state emission inside PVA. Finally, the dye-based carbon dots demonstrate stable and efficient random lasing emission in the red region.
DOI: 10.5281/zenodo.10442973
title: Generation of Random laser from Dye-Derived Red-Emitting Carbon Dots

description: Carbon dots are carbon-based nanoparticles renowned for their intense light-emitting capabilities covering the whole visible light range.  Here, we overcome these problems by solvothermally synthesizing carbon dots starting from Neutral Red, a common red-emitting dye, as a molecular precursor. The obtained nanoparticles are highly luminescent in the red region, with a quantum yield comparable to that of the starting dye. Most importantly, the nanoparticle carbogenic matrix protects the Neutral Red molecules from photobleaching under ultraviolet excitation while preventing aggregation-induced quenching, thus allowing solid-state emission inside PVA. Finally, the dye-based carbon dots demonstrate stable and efficient random lasing emission in the red region.
DOI: 10.5281/zenodo.10443017
title: spinus_crassirostris_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10443018
title: spinus_crassirostris_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10443055
title: spinus_olivaceus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10443056
title: spinus_olivaceus_zanfona_1.fasta.gz

description: .
DOI: 10.48505/nims.3967
title: Original dataset for ID 3 Ti in Thermophysical Property Database

description: This is the original dataset for ID 3 Ti in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/3). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3965
title: Original dataset for ID 1 Nb in Thermophysical Property Database

description: This is the original dataset for ID 1 Nb in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/1). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3970
title: Original dataset for ID 6 Nb in Thermophysical Property Database

description: This is the original dataset for ID 6 Nb in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/6). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3972
title: Original dataset for ID 8 Mo in Thermophysical Property Database

description: This is the original dataset for ID 8 Mo in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/8). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3973
title: Original dataset for ID 9 Hf-3wt%Zr in Thermophysical Property Database

description: This is the original dataset for ID 9 Hf-3wt%Zr in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/9). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3976
title: Original dataset for ID 12 Si in Thermophysical Property Database

description: This is the original dataset for ID 12 Si in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/12). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3978
title: Original dataset for ID 14 Hf-3wt%Zr in Thermophysical Property Database

description: This is the original dataset for ID 14 Hf-3wt%Zr in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/14). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3980
title: Original dataset for ID 16 BiFeO3 in Thermophysical Property Database

description: This is the original dataset for ID 16 BiFeO3 in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/16). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3982
title: Original dataset for ID 18 Rh in Thermophysical Property Database

description: This is the original dataset for ID 18 Rh in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/18). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3983
title: Original dataset for ID 19 Rh in Thermophysical Property Database

description: This is the original dataset for ID 19 Rh in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/19). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3984
title: Original dataset for ID 20 Re in Thermophysical Property Database

description: This is the original dataset for ID 20 Re in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/20). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.
DOI: 10.48505/nims.3985
title: Original dataset for ID 21 Nd-doped 50%CaO-50%Al2O3 in Thermophysical Property Database

description: This is the original dataset for ID 21 Nd-doped 50%CaO-50%Al2O3 in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/21). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.