cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1469347
title: Predicted soil organic carbon stock at 30 m in t/ha for 0-100 cm depth global / update of the map of mangrove forest soil carbon

description: This is the 2nd update of maps produced by Sanderman et al (2018). The improvements to the 3D spatial predictions include: new updated global mangrove coverage map (contact Thomas Worthington), spatiotemporal predictions to account for differences in spectral reflectance at the time of field work, additional SOC points published in Rovai et al. (2018) used in model training (see gpkg file). To open map in QGIS or similar, drag and drop the *.tif files. You can than add also the gpkg file contain the training points. Production steps (ensemble predictions using SuperLearner) are explained in detail at: R code: https://github.com/whrc/Mangrove-Soil-Carbon/ (see "R_code/GMW_mangroves_SOC_30m.R") Tutorial: "Predictive Soil Mapping with R" Produced for the purpose of Mangrove Restoration Potential Map funded by The Nature Conservancy and IUCN. Contact TNC: Emily Landis &lt;elandis@TNC.ORG&gt;. Contact IUCN / University of Cambridge: Thomas Worthington &lt;taw52@cam.ac.uk&gt;. The mangrove restoration potential map is available at: http://maps.oceanwealth.org/mangrove-restoration/
description: This work has received funding from the Global Mangrove Alliance. Global Mangrove Alliance is currently coordinated by members Conservation International, The International Union for the Conservation of Nature, The Nature Conservancy, Wetlands International and World Wildlife Fund.
description: {"references": ["Hamilton, S. E., & Casey, D. (2016). Creation of a high spatio\u2010temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC\u201021). Global Ecology and Biogeography, 25(6), 729-738.", "Murray, N. J., Worthington, T. A., Bunting, P., Duce, S., Hagger, V., Lovelock, C. E., ... & Lyons, M. B. (2022). High-resolution mapping of losses and gains of Earth's tidal wetlands. Science, 376(6594), 744-749.", "Rovai, A. S., Twilley, R. R., Casta\u00f1eda-Moya, E., Riul, P., Cifuentes-Jara, M., Manrow-Villalobos, M., ... & Pagliosa, P. R. (2018). Global controls on carbon storage in mangrove soils. Nature Climate Change, 8: 534\u2013538.", "Sanderman, Jonathan, Tomislav Hengl, Greg Fiske, Kylen Solvik, Maria Fernanda Adame, Lisa Benson, Jacob J. Bukoski et al. (2018) \"A global map of mangrove forest soil carbon at 30 m spatial resolution.\" Environmental Research Letters, 13(5): 055002."]}
DOI: 10.5281/zenodo.6376061
title: From a microscopic inertial active matter model to the Schrödinger equation

description: Supplementary data for the following manuscript: Michael te Vrugt, Tobias Frohoff-Hülsmann, Eyal Heifetz, Uwe Thiele, Raphael Wittkowski, "From a microscopic inertial active matter model to the Schrödinger equation".
description: M.t.V. and T.F.H. thank the Studienstiftung des deutschen Volkes for financial support. R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 283183152.
DOI: 10.5281/zenodo.6903539
title: From a microscopic inertial active matter model to the Schrödinger equation

description: Supplementary data for the following manuscript: Michael te Vrugt, Tobias Frohoff-Hülsmann, Eyal Heifetz, Uwe Thiele, Raphael Wittkowski, "From a microscopic inertial active matter model to the Schrödinger equation".
description: M.t.V. and T.F.H. thank the Studienstiftung des deutschen Volkes for financial support. R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 283183152. Open Access funding enabled and organized by Projekt DEAL.
DOI: 10.6084/m9.figshare.21036719
title: Mapping population distribution from open address data: application to mainland Portugal

description: Mapping population distribution remains a common need in various fields of studies. Several approaches and methodologies have been adopted to obtain high-resolution population distribution grids. The use of addresses data to obtain gridded population distribution maps emerges as one of the more recent and accurate approaches. The increasing dissemination and availability of geo-data and more specifically address data allow us to obtain updated, granular and high spatial resolution population distribution maps. This paper describes a bottom-up open addresses data mapping-based approach of gridded population distribution with a fine spatial resolution. Through a QGIS plugin, an adaptation of the housing unit methodology was implemented to obtain 500 m × 500 and 250 m × 250 m population grids for mainland Portugal. The results showed that the use of reliable addresses databases can generate gridded population distribution maps with a high degree of adjustment to reality.
DOI: 10.6084/m9.figshare.21036719.v1
title: Mapping population distribution from open address data: application to mainland Portugal

description: Mapping population distribution remains a common need in various fields of studies. Several approaches and methodologies have been adopted to obtain high-resolution population distribution grids. The use of addresses data to obtain gridded population distribution maps emerges as one of the more recent and accurate approaches. The increasing dissemination and availability of geo-data and more specifically address data allow us to obtain updated, granular and high spatial resolution population distribution maps. This paper describes a bottom-up open addresses data mapping-based approach of gridded population distribution with a fine spatial resolution. Through a QGIS plugin, an adaptation of the housing unit methodology was implemented to obtain 500 m × 500 and 250 m × 250 m population grids for mainland Portugal. The results showed that the use of reliable addresses databases can generate gridded population distribution maps with a high degree of adjustment to reality.
DOI: 10.6084/m9.figshare.19404345.v2
title: The spatiotemporal dimension of population change in Ireland: visualisation of growth and shrinkage in Irish Electoral Divisions (1986–2016)

description: Population shrinkage has gained attention from academics and policymakers in recent years, due to the long-term implications the phenomenon has for public service delivery and the viability of urban and rural communities. We visualise the socio-temporal evolution of population shrinkage and growth, utilising a spatially rectified dataset containing population data from seven Census of Population covering the 1986–2016 period in the Republic of Ireland. Spatial changes in population distribution are visualised in a map that classifies small administrative units using a spatial typology distinguishing between those experiencing population growth or shrinkage, across the 30-year period. The temporal dimensions of these developments are considered in a sequence of inset maps that apply the same typology to identify the intercensal changes. Overall, the map facilitates the visual communication of long-run population trends, the identification of areas experiencing limited or no growth, and indicates the relative consistency of these trends over time.
DOI: 10.6084/m9.figshare.20387122
title: Reproductive work as a limitation for working women in Monterrey, Mexico

description: Monterrey Metropolitan Zone (Mexico) is characterised by industrial activity and its proximity to the border with the US. In 2010, its 13 municipalities provided infrastructure and services that allow people to live, work or rest, but also a specific function (housing, work, or leisure) due to the prevalence of one of these, impacting the daily life of the population by gender. This article explores the relationship between travel distance to work and reproductive work for working women. Using data by the Extended Questionnaire of the Census Sample of the 2010 Population and Housing Census, home-work commuting routes were mapped at the municipal level, combined with four variables of reproductive work. Our study demonstrates that as the reproductive work increases for working women, they experience spatial segregation since they cannot travel as far as the ones with lower reproductive work because they are expected to take care of the reproductive work.
DOI: 10.6084/m9.figshare.20387122.v1
title: Reproductive work as a limitation for working women in Monterrey, Mexico

description: Monterrey Metropolitan Zone (Mexico) is characterised by industrial activity and its proximity to the border with the US. In 2010, its 13 municipalities provided infrastructure and services that allow people to live, work or rest, but also a specific function (housing, work, or leisure) due to the prevalence of one of these, impacting the daily life of the population by gender. This article explores the relationship between travel distance to work and reproductive work for working women. Using data by the Extended Questionnaire of the Census Sample of the 2010 Population and Housing Census, home-work commuting routes were mapped at the municipal level, combined with four variables of reproductive work. Our study demonstrates that as the reproductive work increases for working women, they experience spatial segregation since they cannot travel as far as the ones with lower reproductive work because they are expected to take care of the reproductive work.
DOI: 10.6084/m9.figshare.20458927
title: Multivariate analysis of socioeconomic profiles in the Ruhr area, Germany

description: The aim of this article and associate Main Map is to highlight the social and economic diversity of the Ruhr area in Germany through the use of multivariate analysis and visualization. To this end we combine two different datasets. Demographic parameters stemming from the 2011 German census and socioeconomic indicators obtained from the <i>microdialog</i> of the German post service. Due to the different spatial resolution of the two datasets, we aggregated the data at the neighbourhood (<i>Stadtteil</i>) level. The multivariate analysis was carried out at this scale using Self-Organizing Maps (SOM), an artificial neuron network, which uses an unsupervised learning mechanism for projecting multidimensional data in a low (in our case two) dimensional space. First we used a visualization technique to better comprehend the relationship between our observations via reducing the dimensionality or complexity of our input data. At the same time, we established a global statistical relationships between the indicators. Finally, using these results we built clusters for revealing the distribution of socioeconomic profiles over the whole region. Our results demonstrate that structural inequalities resulting from the processes of industrialization/deindustrialization in the region are still widely persistent and result in characteristic patterns along the three main rivers, the Lippe, Emscher and the Ruhr. In close connection with this, three types of societal segregation patterns become clearly evident in the Ruhr area, namely nationality, age and economic power.
DOI: 10.6084/m9.figshare.19404345
title: The spatiotemporal dimension of population change in Ireland: visualisation of growth and shrinkage in Irish Electoral Divisions (1986–2016)

description: Population shrinkage has gained attention from academics and policymakers in recent years, due to the long-term implications the phenomenon has for public service delivery and the viability of urban and rural communities. We visualise the socio-temporal evolution of population shrinkage and growth, utilising a spatially rectified dataset containing population data from seven Census of Population covering the 1986–2016 period in the Republic of Ireland. Spatial changes in population distribution are visualised in a map that classifies small administrative units using a spatial typology distinguishing between those experiencing population growth or shrinkage, across the 30-year period. The temporal dimensions of these developments are considered in a sequence of inset maps that apply the same typology to identify the intercensal changes. Overall, the map facilitates the visual communication of long-run population trends, the identification of areas experiencing limited or no growth, and indicates the relative consistency of these trends over time.
DOI: 10.6084/m9.figshare.20458927.v1
title: Multivariate analysis of socioeconomic profiles in the Ruhr area, Germany

description: The aim of this article and associate Main Map is to highlight the social and economic diversity of the Ruhr area in Germany through the use of multivariate analysis and visualization. To this end we combine two different datasets. Demographic parameters stemming from the 2011 German census and socioeconomic indicators obtained from the <i>microdialog</i> of the German post service. Due to the different spatial resolution of the two datasets, we aggregated the data at the neighbourhood (<i>Stadtteil</i>) level. The multivariate analysis was carried out at this scale using Self-Organizing Maps (SOM), an artificial neuron network, which uses an unsupervised learning mechanism for projecting multidimensional data in a low (in our case two) dimensional space. First we used a visualization technique to better comprehend the relationship between our observations via reducing the dimensionality or complexity of our input data. At the same time, we established a global statistical relationships between the indicators. Finally, using these results we built clusters for revealing the distribution of socioeconomic profiles over the whole region. Our results demonstrate that structural inequalities resulting from the processes of industrialization/deindustrialization in the region are still widely persistent and result in characteristic patterns along the three main rivers, the Lippe, Emscher and the Ruhr. In close connection with this, three types of societal segregation patterns become clearly evident in the Ruhr area, namely nationality, age and economic power.
DOI: 10.5281/zenodo.7142804
title: Pacific NEMO/PISCES and APECOSM data

description: The dataset contains the fields that have been used in the Barrier et al. (2023) paper It contains: <strong>NEMO/PISCES</strong> 3D fields Zonal and meridional velocities Temperature Plankton concentration Chlorophyll <strong>APECOSM</strong> 2D and 3D fields for the epipelagic community Vertically integrated biomass density Size-binned 3D biomass For the three size classes described in the paper Trend terms (predation, growth, zonal and meridional advection/diffusion) Growth rate Functional response Mortality rates For space issue, the data provided here have been extracted for the Pacific ocean and for the upper 250m. They also have been strongly compressed. Scripts to regenerate the outputs are provided here: https://doi.org/10.5281/zenodo.7729755
DOI: 10.5281/zenodo.7142803
title: Pacific NEMO/PISCES and APECOSM data

description: The dataset contains the fields that have been used in the Barrier et al. (2023) paper It contains: <strong>NEMO/PISCES</strong> 3D fields Zonal and meridional velocities Temperature Plankton concentration Chlorophyll <strong>APECOSM</strong> 2D and 3D fields for the epipelagic community Vertically integrated biomass density Size-binned 3D biomass For the three size classes described in the paper Trend terms (predation, growth, zonal and meridional advection/diffusion) Growth rate Functional response Mortality rates For space issue, the data provided here have been extracted for the Pacific ocean and for the upper 250m. They also have been strongly compressed. Scripts to regenerate the outputs are provided here: https://doi.org/10.5281/zenodo.7729755
DOI: 10.5281/zenodo.7729730
title: Data underlying "Hard Superconducting Gap in InSb Nanowires"

description: This repository contains an extended dataset of raw data underlying Ö. Gül et al., <em>Hard Superconducting Gap in InSb Nanowires</em>, Nano Lett.<strong> 17</strong>, 2690 (2017) It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.
DOI: 10.5281/zenodo.7729729
title: Data underlying "Hard Superconducting Gap in InSb Nanowires"

description: This repository contains an extended dataset of raw data underlying Ö. Gül et al., <em>Hard Superconducting Gap in InSb Nanowires</em>, Nano Lett.<strong> 17</strong>, 2690 (2017) It also contains python notebooks for recreating the plots in the paper, developed in 2022/23.
DOI: 10.48420/22262323
title: SEM & EDX (Zeiss Sigma) of MXene nanoparticles

description: Reduced accelerating voltage (≤ 10 kV) EDX is used in combination with secondary electron imaging in an attempt to reduce sub-surface/substrate X-ray emission and confirm nanoparticle presence. <br> See uploaded .pdf for full experimental details.
DOI: 10.6084/m9.figshare.22262545.v4
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-V2-like nighttime light data through Super-resolution U-Net model

description: The dataset is an extend time series of the Version 2 annual NPP-VIIRS nighttime light composites. Based on the super-resolution deep learning technology, the dataset using DMSP-OLS NTL data and Landsat NDVI to reconstruct the NPP-VIIRS NTL data in the early years (1992-2011). The dataset could be easily updated by downloading the version 2 annual NPP-VIIRS NTL data in later years from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The dataset has good spatial pattern and temporal consistency, and is highly consistent with NPP-VIIRS NTL data. It provide a longer time period compared to existing products. Compared with the annual NPP-VIIRS NTL data in 2012, the dataset shows a good consistency at the pixel, city, province and nation levels with R2 of 0.617, 0.747, 0.874, and 0.964, respectively, while the R2 of the NPP-VIIRS-like NTL product provide by Chen (2020) is 0.512, 0.694, 0.86, and 0.966, respectively. The dataset contains (1) simulated NPP-VIIRS NTL time series from the DMSP-OLS NTL data (1992-2011) based on a U-Net based super resolution method; and (2) the version 2 annual NPP-VIIRS NTL data (2012-2020), which were obtained from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The pixels of which value less than zero were set to zero. The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image. The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".
DOI: 10.34740/kaggle/dsv/5159538
title: Car Price DataSet
DOI: 10.5066/p95y06wf
title: Lower St. Croix River Steady State Hydraulic Inputs for FluOil Workshop

description: This data release contains steady-state hydraulic input files for the FluOil model (Zhu and others, 2022) that describe the lower St. Croix River between St. Croix Falls, Wisconsin, and Stillwater, Minnesota. These files are derived from the results of a steady-state one dimensional (1D) hydraulic model of the river reach at three discharges (10,000, 20,000, and 35,000 cubic feet per second (cfs)) and include the flow depth, velocity magnitude, and shear velocity along the model domain. A constant temperature of 20 degrees Celsius is also specified. The hydraulic model used to generate this dataset was originally adapted from an existing U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System (HEC-RAS; Version 5.0.6) model to inform the prediction of invasive carp spawning potential on the lower St. Croix River (Kasprak and others, 2022).
DOI: 10.5281/zenodo.7729566
title: Replication data in the form of simulation outputs for "The joint evolution of animal movement and competition strategies"

description: This version of the data is a re-upload of an identical dataset uploaded to DataverseNL. The data are being uploaded here for uniformity of archiving with the other supplementary materials accompanying the manuscript, "The joint evolution of animal movement and competition strategies", which is accepted for publication in <em>The American Naturalist</em>. The dataset consists of a single zipped folder, data/, which contains subfolders with the simulation specific data. These subfolders are named 'sim_SCENARIO_rep_NNN_gro_RMAX', where 'SCENARIO' refers to the three scenarios of the model described in our manuscript, 'NNN' is the replicate number, and 'RMAX' is the maximum cell productivity in that simulation. Each of the subfolders consists of the following: The directory ‘depends/’, which holds the ‘extract.exe’ program. This program is used to extract specific data from the stored simulation output. The ‘sourceMe.R’ file allows the ‘extract.exe’ program to be linked to R, delivering the required data as a list object that can be handled in R. The stored simulation data on agents, as a series of ‘.arc’ and ‘.bin’ files. The ecological snapshots of the landscape, with prey items, foragers, kleptoparasites, and handlers (depending on the scenario), which are stored as PNG files named ‘00NNN.png’, where NNN is a three digit representation of the generation number (e.g. 001 for generation 1). Cumulative sums of the numbers of prey items, foragers, kleptoparasites, the intake from foraging (searching for prey), and the intake from the kleptoparasitic strategy (searching for handlers), on each cell of the landscape, for each of the last 9 generations of the simulation, as ‘NNN.txt’, where LAYER may be ‘items’ (prey items), ‘foragers’ (foragers), ‘klepts’ (kleptoparasites), ‘foragers_intake’ (the intake from the foraging strategy), or ‘klepts_intake’ (the intake due the kleptoparasite strategy. NB: These files are not used in our analyses, and may be ignored. 'SCENARIO' may be one of “foragers” (scenario 1), “obligate” (scenario 2), or “facultative” (scenario 3). 'NNN' may be one of “001”, “002”, or “003”. 'RMAX' may be one of “0.001”, “0.005”, “0.01”, “0.02”, “0.03”, “0.04”, or “0.05”. The manuscript presents results for 'RMAX' = 0.01.
description: PRG was supported by an Adaptive Life Programme grant made possible by the Groningen Institute for Evolutionary Life Sciences (GELIFES). PRG, CFGN and FJW acknowledge funding from the European Research Council (ERC Advanced Grant No. 789240 to FJW).