cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-zvd-mwb9
title: Bestand Bodemgebruik 2006 - BBG'06

description: &lt;p&gt;Het Bestand Bodemgebruik bevat digitale geometrie van het bodemgebruik in Nederland.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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 Top10Vector. Dit is de digitale topografische kaart op een schaal van 1:10.000 van het Kadaster.&lt;/p&gt;&lt;p&gt;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.&lt;br&gt;Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.&lt;br&gt;Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.&lt;br&gt;De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.&lt;/p&gt;&lt;p&gt;In het informatieblad vindt u meer informatie over toegang tot het Bestand Bodemgebruik.&lt;/p&gt;
DOI: 10.17026/dans-xw3-bjpq
title: Mapping cropping patterns in irrigated rice fields in West Java: Towards mapping vulnerability to flooding using time-series MODIS imageries

description: &lt;p&gt;This research mapped cropping patterns using time-series MODIS imageries in irrigated rice fields in West Java, Indonesia. This research was part of bigger research and serves as the background for more detail studies in the study area. This study is able to show the rice field distribution, its phenology metric, cropping pattern, and vulnerability to flooding. Specifically for irrigated rice fields under Ir. Djuanda (Jatiluhur) reservoir command area, the analysis allowed the identification of ongoing cropping patterns whether they are still aligned with the official cropping calendar.&lt;/p&gt;
description: Issued: 2018-04-16
DOI: 10.17026/dans-ztx-2sd2
title: A global map of travel time to cities

description: &lt;p&gt;A global analysis of accessibility to high-density urban centres at a resolution of 1×1 kilometre for 2015, as measured by travel time.&lt;/p&gt;&lt;p&gt;To model the time required for individuals to reach their most accessible city, we first quantified the speed at which humans move through the landscape. The principle underlying this work was that all areas on Earth, represented as pixels within a 2D grid, had a cost (that is, time) associated with moving through them that we quantified as a movement speed within a cost or ‘friction’ surface. We then applied a least-cost-path algorithm to the friction surface in relation to a set of high-density urban points. The algorithm calculated pixel-level travel times for the optimal path between each pixel and its nearest city (that is, with the shortest journey time). From this work we ultimately produced two products: (a) an accessibility map showing travel time to urban centres, as cities are proxies for access to many goods and services that affect human wellbeing; and (b) a friction surface that underpins the accessibility map and enables the creation of custom accessibility maps from other point datasets of interest. The map products are in GeoTIFF format in EPSG:4326 (WGS84) project with a spatial resolution of 30 arcsecs. The accessibility map pixel values represent travel time in minutes. The friction surface map pixels represent the time, in minutes required to travel one metre. This DANS data record contains these two map products.&lt;/p&gt;
description: Issued: 2018-01-10
DOI: 10.17026/dans-2bx-dutg
title: CLIWOC - Climatological Database for the World's Oceans 1750-1850 (release 2.1)

description: &lt;p&gt;The principal objective of the CLIWOC project was to realise the scientific potential of logbook climatic data and to produce a database of daily weather observations for the world's oceans between 1750 and 1850. Another objective was to provide a comprehensive understanding of the nature of climatic change over the oceans for the century after 1750 when logbooks became abundant and to link with existing databases such as the I-COADS dataset (International Comprehensive Ocean-Atmosphere Data Set). The study period is also significant because it marks a period when climatic change cannot be seen as a consequence of world-wide industrialization and the release of greenhouse gases into the atmosphere. One of the project's main achievements was the preparation of a database drawing on British, Dutch, French and Spanish naval logbook records for the immediate pre-instrumental period (1750-1853). This database is freely available on the KNMI website &lt;http://www.knmi.nl/cliwoc/download/cliwoc21.htm&gt;.&lt;/p&gt;
description: &lt;p&gt;Besides the Access database (CLIWOC21_97.mdb), the dataset contains the following three (3) files:&lt;br&gt;- CLIWOC 2_1.htm: description in ASCII of the full database (more than 287,000 records) and various versions of the database. Also describes length and format of the records;&lt;br&gt;- imma_format.pdf: documentation of the IMMA format (International Maritime Meteorological Archive), as updated on 14 March 2007;&lt;br&gt;- CLIWOC21.zip: contains 'CLIWOC21.txt' file, the core version of the CLIWOC database.&lt;/p&gt;
DOI: 10.17026/dans-28m-mwht
title: Longitudinal navigation log data on the Radboud University web domain

description: &lt;p&gt;We have collected the access logs for our university's web domain over a time span of 4.5 years. We now release the pre-processed web server log of a 3-month period for research into user navigation behavior. We preprocessed the data so that only successful GET requests of web pages by non-bot users are kept. The information that is included per entry is: unique user id, timestamp, GET request (URL), status code, the size of the object returned to the client, and the referrer URL. The resulting size of the 3-month collection is 9.6M page visits (190K unique URLs) by 744K unique visitors. The data collection allows for research on, among other things, user navigation, browsing and stopping behavior and web user clustering.&lt;/p&gt;
description: Date Submitted: 2016-04-28
DOI: 10.17026/dans-zmu-3gyp
title: Indoor Mobile Laser Scanning System

description: &lt;p&gt;These files are to support the published journal paper about indoor backpack mobile mapping system. They include point cloud conversion, segmentation and SLAM codes. In addition, code of evaluation method published in the journal paper. The resulting laser point cloud file is also uploaded.&lt;/p&gt;
DOI: 10.17026/dans-x6q-85cw
title: Bellona 1783
title: Reis van Hellevoetsluis naar Demerary

description: &lt;p&gt;Hoofddoel van het CLIWOC-project was het benutten van klimaatgegevens uit scheepsjournaals voor het aanleggen van een database van dagelijkse weer-observaties voor oceanen uit de periode 1750 - 1850. Een van de belangrijkste resultaten van het project is een database met gegevens uit Britse, Nederlandse, Franse en Spaanse scheepsjournaals uit de pre-industriële periode (1750 - 1853).&lt;/p&gt;&lt;p&gt;Tijdens de oorspronkelijke gegevensverzameling in de periode december 2000 tot en met november 2003 werden per scheepsreis gegevens verzameld in MS Access databases. Deze dataset bevat een oorspronkelijke database samen met de afbeeldingen van het bijbehorende scheepsjournaal.&lt;/p&gt;
description: &lt;p&gt;Reis van Hellevoetsluis naar Demerary&lt;/p&gt;
description: Date: 2003-11-30
DOI: 10.17026/dans-25g-tt32
title: Defining Surface Types of Mars using Global CRISM Summary Product Maps

description: &lt;p&gt;For many regions on Mars the surface composition and its geological history has been debated in literature. Because of the limited surface coverage of in-sit measurements, either new data, or new processing methodologies are required to get a better understanding of Martian geology. This paper presents the results of a novel approach applied on the CRISM (Compact Reconnaissance Imaging Spectrometer) multispectral mapping mode dataset. So far, this dataset is under-utilized for global surface analysis. This dataset comes with common difficulties, such as noise within the spectral data, unrealistic data values and differences between orbital observations. The combination of using, spectral parameters, masking values from pre-defined thresholds and averaging the summary product values for a grid of ~5*5o have proven to be a robust method for analyzing the CRIMS mapping mode dataset. Based on an unsupervised clustering algorithm all grid pixels are classified resulting in a global map of distinct surface types. These surface types coincide with the Martian regions Northern Lowlands, Southern Highlands, Meridiani Planum, Syrtis Major, and Nili Fossae. The summary products that contributed the most on the specific surface types are defined based on a new approach, namely partial least squares discriminant analysis. These results were interpreted for (1) sulfate evaporates in Meridiani Planum, (2) hydrothermal carbonates and/or Fe-Mg phyllosilicates in Nili Fossae (3) olivine rich and potentially hydrated mineral rich Syrtis Major, and (4) the Northern lowlands with a lower mafic mineral content than the Southern highlands, exhibiting potential signs of aqueous alteration.&lt;/p&gt;
DOI: 10.17026/pt/8vlo5v
title: :unav

description: :unav
DOI: 10.17026/pt/oufyek
title: :unav

description: :unav
DOI: 10.17026/pt/oyoyy6
title: :unav

description: :unav
DOI: 10.15468/dl.hkqqda
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Myanmar, Nepal, China, Pakistan, Bangladesh, Bhutan, Afghanistan)",
 "TaxonKey is Rapala melida Fruhstorfer, 1912"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068914-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-z8n-fc2u
title: Bestand Bodemgebruik 2003 - BBG'03

description: &lt;p&gt;Het Bestand Bodemgebruik 2003 bevat digitale geometrie van het bodemgebruik in Nederland.&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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 Top10Vector. Dit is de digitale topografische kaart op een schaal van 1:10.000 van de Topografische Dienst Kadaster.&lt;br&gt;&lt;br&gt;Voor alle digitale geometrie geldt dat publicatie van de kaart is toegestaan, mits het CBS en de Topografische Dienst Kadaster als bronnen worden vermeld.&lt;/p&gt;&lt;p&gt;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.&lt;br&gt;Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.&lt;br&gt;Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.&lt;br&gt;De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.&lt;/p&gt;&lt;p&gt;In het informatieblad vindt u meer informatie over toegang tot het Bestand Bodemgebruik.&lt;/p&gt;
DOI: 10.17026/dans-zce-669a
title: Data underlying the paper 'effects of food value-chain connection on land-use change'

description: &lt;p&gt;This dataset is the result of a project that aimed to assess the effect of a land managers' value-chain connection on land-use and cover-change. This value-chain connection was characterized by describing how a person managing agricultural land is connected to a value chain, in terms of agency, distance to consumers, and environmental norms. The influence of these factors on land use and -cover change was explored by means of a systematic literature review of global case studies, resulting in this dataset. It covers 198 reviewed documents and 531 distinct cases that were distinguished, with information on land use and -cover change, information on value-chain connection, information on location and severable other variables. Analyses of the data shows that among land managers not connected to value chains at all (i.e., subsistence), and among those selling in short supply-chains, a decrease in intensification is more frequently observed than among other land managers. Land-use change is also influenced by environmental standards, particularly for farmers selling to longer supply-chains, who frequently adopt environmentally friendly practices. These findings reflect knowledge from a range of disciplines that we were able to consolidate through use of the conceptualisation of agency, distance and norms. Using this conceptualisation to extend existing theories of land-system change and, together with other characterisations of land managers to represent human decision-making in land-use modelling, would mean a significant advancement compared to current approaches that neglect the shape of local value-chains.&lt;/p&gt;
description: Date Submitted: 2023-04-13
description: Modified: 2022-12-19
DOI: 10.17026/pt/9e8wie
title: Revealing the hidden potentials of Internet of Things (IoT)
title: An integrated approach using agent-based modelling and system dynamics to assess sustainable supply chain performance

description: https://doi.org/10.1016/j.jclepro.2023.138558
DOI: 10.17026/pt/oppctp
title: Adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

description: This data includes all datasets and codes for adversarial validation in geospatial machine learning prediction and corresponding experiments. Except for datasets (Brazil Amazon basion AGB dataset and synthetic species abundance dataset) and code, Reademe.txt explains each file's meaning.
DOI: 10.17026/pt/3icwzm
title: Data underlying the publication: ‘Wang et al (2024) A triple increase in global river basins with water scarcity due to future pollution. Nature Communications’

description: In this study, we assessed clean-water scaricty for &gt;10,000 sub-basins worldwide. To do this, we developed clean-water scarcity indicators including a water quantity-based indicator and a water quality-based indicator. To quantify these indicators, we combined the MARINA-Nutrients (Model to Assess River Inputs of pollutaNts to seAs), MAgPIE (Model of Agricultural Production and its Impact on the Environment), and VIC (Variable Infiltration Capacity) models into an integrated modelling framework (in Figure 1 of the publication).
DOI: 10.17026/pt/pvcril
title: CROP GROWTH AND YIELD MONITORING IN SMALLHOLDER AGRICULTURAL SYSTEMS: A MULTI-SENSOR DATA FUSION APPROACH
title: Crop phenology and yield estimation using Landsat and MODIS data fusion

description: LAI, yield and crop calendar information was collected from rice and maize sample fields. This dataset contains the measurements at locations within the fields and the averages per study field. The ground data was used for calibration and validation of phenology, detection, LAI, and yield estimation from the EO data.
In addition to the ground datasets, LAI, crop phenometrics and yield were derived from the Landsat-MODIS data fusion and MODIS datasets. The processing procedure to derive these outputs are outlined in the four manuscripts published in this PhD thesis and a brief description is included in the readme. 

The project includes four research chapters published in ISI journals
1. Sisheber, B., M. Marshall, D. Ayalew & A. Nelson (2022) Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion. International Journal of Applied Earth Observation and Geoinformation, 106, 102670.
2. Sisheber, B., M. Marshall, D. Mengistu & A. Nelson (2023) Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape. Agricultural and Forest Meteorology, 340, 109601.
3. Sisheber, B., Marshall, M., Mengistu, D., and Nelson, A. (2023). Assimilation of Earth Observation data for crop yield estimation in smallholder agricultural systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-17, 10.1109/jstars.2023.3329237 
4. Sisheber, B., M. Marshall, D. Mengistu & A. Nelson. The influence of temporal resolution on crop yield estimation with Earth Observation data assimilation (under review).
description: ArcGIS
description: MATLAB
description: ENVI, IDL
description: TIMESAT
DOI: 10.17026/pt/rxeeno
title: Data set for Performance of the non-invasive point-of-care device, EzeCheck, for haemoglobin assessment in adults and children in community and institutional care settings

description: Data set for the submitted manuscript
DOI: 10.17026/pt/f0k9u1
title: Dataset Associated with the Study of Robust Drivers of Urban Land Surface Temperature (ULST) Dynamics Across Diverse Landscape Characters
title: Robust Drivers of Urban LST

description: This dataset is associated with the study of the robust drivers of urban land surface temperature (ULST) dynamics across diverse landscape characters based on an augmented systematic literature review of 101 peer-reviewed articles. Some generic landscape drivers such as climate, parent material, topography, presence/proximity to urban thermal sinks were analysed as well as their impact on ULST. The study offers a novel perspective in understanding ULST dynamics, promoting interdisciplinary, participatory and democratic research approaches necessary for citizen and open science applications. 
The dataset includes: 1) Atlas.ti Files - A collection of 1,508 codes generated using Atlas.ti, relevant extracts in .csv and .xlsx formats, and coded articles; 2) Python Scripts - for deduplication of literature data, and dummy regression analysis of the relationship between ULST and landscape character elements; 3) Tableau Resources - Dataset used to develop the interactive dashboards developed to summarize and communicate the findings of our research; and 4) Supplementary Files - Comprising of a composite of all initial articles considered in the study, the deduplicated article list, results of the final screened/reviewed articles and other data that were utilized in the study, e.g. coded data from Atlas.ti, data used in the dummy regression analysis, amongst others.
description: Atlas.ti, 23
description: Tableau Desktop, 2023
description: Visual Studio Code, 1.86
description: FAST, 2
description: Microsoft Office Suite, 2021
DOI: 10.17026/pt/xo0vix
title: Dashboard of Robust Landscape Drivers of LST in Diverse Landscape Characters

description: This dashboard reveals (49) robust landscape metrics (LMs) that have been confirmed (by at least two separate studies) to influence urban land surface temperatures (ULSTs) in diverse landscape characters. It a summary of our findings in the study on Robust Drivers of Urban Land Surface Temperature Dynamics Across Diverse Landscape Characters: An Augmented Systematic Literature Review. Hence, the dashboard is to aid in communicating our findings in a simplified, interactive, and engaging manner. It is also expected to enhance understanding of the drivers of LST dynamics in diverse landscape characters, by both scientific and non-scientific (urban) stakeholders. Also, it is proposed as a tool that can be used alongside other existing scientific criteria (e.g., most applied, theoretical significance, ease of interpretation and applicability) and stakeholders' indigenous knowledge for selecting LMs to be included in the modelling of ULST dynamics. Meanwhile, with the help of filters, the Dashboard readily indicates the methodology applied in the studies wherein robust LMs were found and their sources as well – which can be immediately accessed.
description: Tableau Desktop, 2023.4
description: The dashboard can be accessed directly from Tableau Public, where all filter and interactivity functions are possible. While it is possible to save or download results of the dashboard in either PDF, Image or PowerPoint formats, its dataset can only be accessed via DANS repository - https://doi.org/10.17026/PT/F0K9U1.
DOI: 10.17026/pt/w23edl
title: Article data: How remote sensing choices influence ecosystem services monitoring and evaluation results of ecological restoration interventions

description: The enclosed data is linked to the article:

del Río-Mena, T., Willemen, L., Vrieling, A., & Nelson, A. (2023). How remote sensing choices influence ecosystem services monitoring and evaluation results of ecological restoration interventions. Ecosystem Services, 64, 101565.

The data include shapefiles used for BACI calculations; scripts used in Google Earth Engine to choose dates of input satellite images and download spectral indices images; and excel files detailing inputs values, calculations and results of BACI contrasts.
DOI: 10.17026/pt/pojgn2
title: High Resolution Remote Sensing Images from the Algerian steppic zone
title: Images labeled according to their level of desertification

description: As part of the EO AFRICA R&D MAPSPADES project (https://www.eoafrica-rd.org/research/research-projects-2023-2024), this dataset describes 877 high-resolution images downloaded from Google Earth Pro and classified according to the degree of desertification observed at each location. The locations are spread over the steppic region of Algeria, which covers more than 270,000 km2 (about 11% of the territory) and stretches more than 1200 km from the east to the west of the country. This region is particularly affected by land degradation and loss of indigenous plant biodiversity due to many factors, including human activities and climatic variations. 

The purpose of this dataset is to provide "ground truth" data for training and validation of various machine learning or statistical models that study desertification or vegetation conditions from Earth observation data. Each scene represents an area of 30m by 30m and is documented with its coordinates, the date of image acquisition, and the observed desertification class (extremely severe, severe, moderate, light, none). These labels were obtained by averaging desertification scores ranging from 0 to 10, manually assigned by 3 people, and then classifying them with equal intervals.