cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-zx3-8zj7
title: Wetland delineation and characterization layers 2014-2017, Rwanda

description: Wetlands are highly productive ecosystems and provide a range of goods and services on local to global scales and have become key sites of agricultural development in sub-Saharan Africa. This is the case for East African countries such as Rwanda, where agricultural expansion into wetlands and agricultural intensification are crucial elements of the government's strategy to increase food production and decrease dependence from global food markets. However, spatially explicit information of the location and status of wetlands for informed decision making is lacking or not up to date. In the related research article, we therefore develop a framework comprising the following spatial layers: Delineation, Surface Water Occurrence (SWO), Land Use/Land Cover (LULC) classification and Wetland Use Intensity (WUI). These layers are based on satellite imagery from the European Copernicus Programme and cover the whole of Rwanda. The Delineation is derived from a static Potential Wetlands layer and Sentinel-2 imagery using object-based image analysis (OBIA). The SWO is a per-pixel count of the times a location was detected as flooded using Sentinel-1 imagery. For the LULC classification, an object-based decision tree classifier is applied to Sentinel-2 imagery in Combination with the Delineation layer and the SWO. The WUI layer is based on the Absolute Mean Spectral Dynamics indicator depicting pixel-wise changes in reflectance values in Sentinel-2 bands relevant for wetland vegetation and hydrological dynamics. All layers refer to the year 2017, except for the SWO layer, which covers surface water dynamics from 2014 to 2017. The layers can be used individually or in combination and thus adapted to the different information needs for sustainable wetland management.This dataset contains the Potential Wetlands map based on topographic indices, the Wetland Delineation derived from it, the Surface Water Occurrence layer, the Land Use/Land Cover map, and the Wetland Use Intensity layer. For appropriate map display we provide QGIS layerstyle files associated with these layers.This research was conducted within the project Copernicus-based Detection and Monitoring of tropical Wetlands (DeMo-Wetlands), which was funded by the German Federal Ministry for Economic Affairs and Energy (grant no. 50EE1537).
DOI: 10.17026/dans-x73-fa29
title: Rock Sample Surface Preparation Influences Thermal Infrared Spectra

description: Data of Rost, E.; Hecker, C.; Schodlok, M.C.; Van der Meer, F.D. Rock Sample Surface Preparation Influences Thermal Infrared Spectra. Minerals 2018, 8, 475.
DOI: 10.17026/dans-xwv-4cm5
title: Monitoring greenhouse gases in a Brazilian Amazonian reservoir

description: Hydroelectric power reservoirs are considered potential contributors to the greenhouse effect in the atmosphere through the emittance of methane and carbon dioxide. In this research project, we combined in-situ sampling and gas chromatography with geostatistical and remote sensing approaches to estimate greenhouse gas (GHG) emissions of a large hydropower reservoir.
DOI: 10.17026/dans-xpd-z85s
title: Riverine export of plastics using the MARINA-Plastics model

description: The main model outputs of the MARINA-Plastics model are provided in this excel file. More details are given in the supporting information of the manuscript "River export of macro- and microplastics to seas by sources worldwide".
DOI: 10.17026/dans-x5e-3kgu
title: Bestand Bodemgebruik - BBG 2010

description: Het Bestand Bodemgebruik bevat digitale geometrie van het bodemgebruik in Nederland.Sinds 1989 publiceert het CBS om de drie tot vier jaar de digitale geometrie van de begrenzingen van het bodemgebruik in Nederland in het Bestand Bodemgebruik. Deze afbakening geeft inzicht in de verspreiding van verschillende vormen van ruimtegebruik binnen Nederland. Voorbeelden van het bodemgebruik zijn verkeersterreinen, bebouwing, recreatieterreinen, natuurterreinen, binnenwater en buitenwater.De digitale geometrie is een basisbestand bij het afleiden van de oppervlakte- en dichtheidsstatistieken voor verschillende regionale indelingen. Met ingang van de publicatie van de digitale geometrie in het Bestand Bodemgebruik 2000 zijn de begrenzingen gebaseerd op de Top10 kaart. Dit is de digitale topografische kaart op een schaal van 1:10.000 van het Kadaster.DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaarstellen van topografische en kadastrale kaarten voor studiedoeleinden en voor wetenschappelijk onderzoek.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.Het bestand kan ook geraadpleegd worden met behulp van STATLINE van het Centraal Bureau voor de Statistiek.In het informatieblad vindt u meer informatie over toegang tot het Bestand Bodemgebruik.
DOI: 10.17026/dans-xx4-qxa3
title: Thematische collectie: digitale topografische bestanden van het Kadaster

description: Het Kadaster heeft als wettelijke taak een aantal registraties te beheren. Hieronder vallen de registraties van vastgoed, topografie, schepen en luchtvaartuigen. DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaarstellen van topografische en kadastrale kaarten voor studiedoeleinden en wetenschappelijk onderzoek. Hieronder vindt u een overzicht van de Kadasterbestanden met links naar de verschillende versies. De data is op aanvraag beschikbaar. Vanwege de grootte van de bestanden sturen we u die toe buiten EASY om. DANS bewaart de historische versies van Kadasterbestanden. De meest actuele versies kunt u veelal direct downloaden van de website van Publieke Dienstverlening op de Kaart – PDOK.
DOI: 10.17026/dans-x8d-p6zm
title: Sentinel-2 data set for the delineation of agricultural field boundaries in Flevoland, The Netherlands

description: Sentinel-2 data set for the delineation of agricultural boundaries. It contains filed boundaries in raster format at 10 m and 5 m resolution and in vector format. It contains Sentinel-2 bands at 10m and 20 m resolution. RapydEye images at 5 m resolution are also available, for validation puposes.
DOI: 10.17026/dans-xzt-e99j
title: Rock Sample Surface Preparation Influences Thermal Infrared Spectra

description: Data of Rost, E.; Hecker, C.; Schodlok, M.C.; Van der Meer, F.D. Rock Sample Surface Preparation Influences Thermal Infrared Spectra. Minerals 2018, 8, 475.
DOI: 10.17026/dans-zyz-9gb9
title: State Identification for Labeled Transition Systems with Inputs and Outputs: Software and Case Study Computation Results

description: The data set contains source code and an executable for computing adaptive distinguishing tests. Also, it contains dot-files representing the labeled transition systems of the used case studies, and all the intermediate computation results the software produces. The dataset is part of the research from Chapter 3 of the PhD thesis "Coverage and Games in Model-Based Testing" by Petra van den Bos. This chapter is an extenstion of the conference paper "State Identification for Labeled Transition Systems with Inputs and Outputs" by Petra van den Bos and Frits Vaandrager. The tables from the chapter can be reproduced by executing the software.
DOI: 10.17026/dans-znh-bcg3
title: LOD Laundromat (archival package 2016/06)

description: The LOD Laundromat provides access to a large subset of Linked Open Data (LOD) that is published in today's LOD Cloud. It automatically scrapes and cleans 650 thousand datasets containing over 38 billion statements.The cleaned data is converted to a standards-compliant format that is optimized for reuse. The data cleaning process cleans hundreds of millions of 'stains' from the data, including syntax errors, duplicate statements, and unnamed nodes. The resulting datasets are republished in a uniform format and are indexed for fast search & retrieval via a publicly accessible web service. The LOD Laundromat data collection allows researchers to access large quantities of data from different domain, including humanities, health, and social sciences.
DOI: 10.17026/dans-zrn-n8nh
title: Ten years profile soil moisture and temperature measurements in Twente

description: The Twente region in the east of the Netherlands hold a network that monitors since 2009 profile soil moisture and temperature at twenty locations mostly in the rural environment. In addition, intensive measurement campaigns have been performed in 2009, 2015, 2016, and 2017 at number of measurement locations as a part of MSc and PhD research. The development of the network infrastructure has been supported through various EU and NWO-funded projects, and forthcoming data has been successfully used for the validation of satellite derived surface soil moisture products.The early development of the network has been described in Dente et al. (2011), but over the years the design of the network has altered considerably with the most recent updates documented in Van der Velde et al. (in review).In 2019, the Twente network has been operational for more than a decade and with this deposit we would like to make this data freely and well documented available for use by the science and professional communities. An accompanying data paper is under development, which provide additional background information.Dente, L., Vekerdy, Z., Su, Z. and Ucer, M.: Twente soil moisture and soil temperature monitoring network, University of Twente, Enschede, ISBN 978-90-6164-324-1, 19 pp., 2011.van der Velde, R., Colliander, A., Pezij, M., Benninga, H.-J. F., Bindlish, R., Chan, S. K., Jackson, T. J., Hendriks, D. M. D., Augustijn, D. C. M., and Su, Z.: Validation of SMAP L2 passive-only soil moisture products using in situ measurements collected in Twente, The Netherlands, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-471, in review, 2019.
DOI: 10.17026/dans-2bz-2nx6
title: Data for determining optimal laser-beam cutting equipment investment through a robust optimization modeling approach

description: This is the data for the paper "Determining optimal laser-beam cutting equipment investment through a robust optimization modeling approach".Its been made public so any researcher can replicate the results.
DOI: 10.17026/dans-x6c-zvrp
title: Determination of hydrogen exchange and relaxation parameters in PHIP complexes at micromolar concentrations

description: Non-hydrogenative Para-Hydrogen Induced Polarization (PHIP) is a fast, efficient and relatively inexpensive approach to enhance Nuclear Magnetic Resonance (NMR) signals of small molecules in solution. The efficiency of this technique depends on the interplay of NMR relaxation and kinetic processes, which, at high concentrations, can be characterized by selective inversion experiments. However, in the case of dilute solutions this approach is clearly not viable.Here, we present alternative PHIP-based NMR experiments to determine hydrogen and hydrides’ relaxation parameters as well as the rate constants for para-hydrogen association to and dissociation from asymmetric PHIP complexes at micromolar concentrations. Access to these parameters is necessary to understand and improve the PHIP enhancements of (dilute) substrates present in, for instance, biofluids and natural extracts.Content of the datset:NMR raw and processed data, pulse sequence, nmrPipe processing scripts
DOI: 10.17026/dans-227-36wn
title: Dataset: tweets and events linked to the paper 'Open-domain extraction of future events from Twitter'

description: Input data and output of research conducted in the study described in the paper:F. Kunneman and A. Van den Bosch (2016), Open-domain extraction of future events from Twitter, Natural Language Engineering, doi: 10.1017/S1351324916000036The paper describes a system that extracts future referring time expressions and entities from Twitter messages, and subsequently detects events as a pair of a date and entity the are often mentioned in the same tweet. This dataset features the ids of a large set of Dutch tweets posted in August 2014, which was used as input to the system, as well as the time expression and / or entity that was extracted from each tweet, if any. Furthermore, the detected events are included, represented as a date, one or more describing terms, the tweetids that refer to it and the assessment of the event by human annotators.
DOI: 10.17026/dans-x5g-jey5
title: Airborne HyPlant dataset before and during a heat wave in 2015 in Germany

description: The dataset comprises airborne measurements of reflectance and SIF acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27?C and 34?C, respectively with the HyPlant system. The reflectance data covers the spectral range from 400 nm to 2500 nm with a spectral solution with a spectral resolution of 3?nm in visible and near infrared region, and 10?nm in the short-wave infrared region. The fluorescence data comprises red fluorescence at 687 nm and far-red fluorescence at 760 nm. Both reflectance and fluorescence images have a spatial resolution of 0.5 m.
DOI: 10.17026/dans-z3v-9wy2
title: TOP50Raster, digitaal topografisch bestand - versie september 2012

description: Topografisch bestand 1:50.000.Voor analyses of applicatie-ontwikkeling in GIS, CAD en Desktop Mapping waarbij het niet nodig is om wijzigingen in het kaartbeeld aan te brengen, maar waarbij de kaart als ondergrond en referentie functioneert, zijn rasterbestanden een goed alternatief. De TOPraster-producten bieden hiervoor de ideale oplossing. Deze bestanden worden softwarematig afgeleid uit de vectorbestanden. Dit proces wordt raster-uit-vector conversie genoemd.DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaar stellen van topografische en kadastrale kaarten. Iedereen mag deze data gebruiken.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.In het informatieblad vindt u meer informatie over toegang tot de TOP-kaart.
DOI: 10.17026/dans-x7r-kgnr
title: A spatio-temporal normalization method for geophysical data

description: The objective of the study was to introduce a normalization algorithm which highlights short-term, localized, non-periodic fluctuations in hyper-temporal satellite data by dividing each pixel by the mean value of its spatial neighbourhood set. The algorithm was designed to suppress signal patterns that are common in the central and surrounding pixels, utilizing spatial and temporal information at different scales.
DOI: 10.17026/dans-xgb-tw5u
title: TOP25Raster, digitaal topografisch bestand - versie november 2012

description: TOP25raster geeft het kaartbeeld van de topografische kaartserie 1:25 000.Door een geautomatiseerd proces vanuit het geografisch basisbestand 1:10 000 resulteert dit in een product met de volgende kenmerken:-Een consistente kleurstelling voor het gehele land-Een directe relatie met het geografisch basisbestand 1:10 000DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaar stellen van topografische en kadastrale kaarten. Iedereen mag deze data gebruiken.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart (PDOK).In het informatieblad vindt u meer informatie over toegang tot de TOP-kaart.
DOI: 10.17026/dans-z99-7j8z
title: Evaluating Resilience-Centered Development Interventions with Remote Sensing

description: This datasets contains the satellite images used in this research article published in Remote Sensing (doi :10.3390/rs11212511). The images cover part of Leyte Island, the Philippines, before and after 2013 Typhoon Haiyan.Paper abstract:Natural disasters are projected to increase in number and severity, in part due to climatechange. At the same time a growing number of disaster risk reduction (DRR) and climate changeadaptation measures are being implemented by governmental and non-governmental organizations,and substantial post-disaster donations are frequently pledged. At the same time there has beenincreasing demand for transparency and accountability, and thus evidence of those measures having apositive e_ect. We hypothesized that resilience-enhancing interventions should result in less damageduring a hazard event, or at least quicker recovery. In this study we assessed recovery over a 3 yearperiod of seven municipalities in the central Philippines devastated by Typhoon Haiyan in 2013. Weused very high resolution optical images (&lt;1 m), and created detailed land cover and land use mapsfor four epochs before and after the event, using a machine learning approach with extreme gradientboosting. The spatially and temporally highly variable recovery maps were then statistically relatedto detailed questionnaire data acquired by DEval in 2012 and 2016, whose principal aim was to assessthe impact of a 10 year land-planning intervention program by the German agency for technicalcooperation (GIZ). The survey data allowed very detailed insights into DRR-related perspectives,motivations and drivers of the affected population. To some extent they also helped to overcomethe principal limitation of remote sensing, which can effectively describe but not explain the reasonsfor differential recovery. However, while a number of causal links between intervention parametersand reconstruction was found, the common notion that a resilient community should recover betterand more quickly could not be confirmed. The study also revealed a number of methodologicallimitations, such as the high cost for commercial image data not matching the spatially extensive butalso detailed scale of field evaluations, the remote sensing analysis likely overestimating damageand thus providing incorrect recovery metrics, and image data catalogues especially for more remotecommunities often being incomplete. Nevertheless, the study provides a valuable proof of conceptfor the synergies resulting from an integration of socio-economic survey data and remote sensingimagery for recovery assessment.
DOI: 10.17026/dans-247-y9x3
title: TreeBasedKernels: an R-function for obtaining similarity kernels based on tree-based ensemble learners

description: This research was partially supported by the Bill and Melinda Gates Foundation via the STARS Grant Agreement (1094229-2014). We wish to express our gratitude to all the STARS partners and, in particular, to the ICRISAT-led team for organizing and collecting the required field data in Mali and to the STARS ITC team for pre-processing the WorldView-2 images. We would also like to acknowledge the European Commission Erasmus Mundus (SALAM2) for providing financial support for this research via a PhD grant to Ms. Azar Zafari.The dataset and code in this repository are related to following journal papers and Ph.D. thesis:
DOI: 10.17026/dans-xjk-5sat
title: Uncertainty Propagation of Atmospheric Correction Parameters

description: The main objective of this thesis was to quantify the propagation of uncertainty in a layered processing system as applied in Processing and Archiving Facilities (PAF). A framework is presented that is suited for the purpose. Practical uncertainty estimates are then obtained in estimating a reflectance product using three parameters: Column Water Vapour (CWV), Aerosol Optical Depth (AOD), and the adjacency range. We demonstrate the propagation of uncertainty from the reflectance product to application products, by focusing on unmixing i.e. retrieving materials and their proportional abundances present in each pixel. The thesis is divided into six chapters.
DOI: 10.17026/dans-z5d-wm27
title: Experimental Models of Drug Metabolism and Distribution in Drug Design and Development

description: Drug discovery and development involve the utilization of in vitro and in vivo experimental models. Different models, ranging from test tube experiments to cell cultures, animals, healthy human subjects, and even small numbers of patients that are involved in clinical trials, are used at different stages of drug discovery and development for determination of efficacy and safety. The proper selection and applications of correct models, as well as appropriate data interpretation, are critically important in decision making and successful advancement of drug candidates. In this review, we discuss strategies in the applications of both in vitro and in vivo experimental models of drug metabolism and disposition.
DOI: 10.17026/dans-zwc-92yv
title: Code and testing data for unified four-Stream radiative transfer theory in the optical-thermal domain with consideration of fluorescence for multi-layer vegetation canopies

description: We provide the Matlab code and testing dataset for a unified radiative transfer theory for optical scattering, thermal and fluorescence emission in multi-layer vegetation canopy. This theory can be used to develop vegetation models for remote sensing applications and plant physiological processes, such as photosynthesis and transpiration. It can also be used to solve the radiative transfer problems in soil-water, soil-water-atmosphere, or soil-vegetation-atmosphere ensembles, besides the soil-vegetation system presented in the note.This dataset is associated with the following paperYang, P., Verhoef, W., & van der Tol, C. (2020). Unified four-stream radiative transfer theory in the optical-thermal domain with consideration of fluorescence for multi-layervegetation canopies. Remote sensing, 12(23), 1-19. [3914]. https://doi.org/10.3390/rs12233914