cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/pt/0dnfs0
title: Remote sensing-based driving factors of desertification in the Algerian steppic zone

description: This dataset is made-up of 14 spatio-temporal (stacks of) layers of remote sensing-based variables that are known to be driving factors of desertification. Each (stack of) layer(s) cover(s) the entire steppic zone in Algeria at 5 kilometers resolution. All files were cropped to match the boundaries of the steppic zone using the file steppic_zone.shp which is also part of this collection.

List of files:
01 - 2m_temperature_5km.tif
02 - soil_temperature_level_1_5km.tif
03 - total_precipitation_5km.tif
04 - runoff_5km.tif
05 - total_evaporation_5km.tif
06 - evaporation_from_vegetation_transpiration_5km.tif
07 - 10m_u_component_of_wind_5km.tif
08 - 10m_v_component_of_wind_5km.tif
09 - volumetric_soil_water_5km.tif
10 - soil_type_5km.tif
11 - population_density_GPWv4_5km.tif
12 - DEM-elevation_5km.tif
13 - DEM-aspect_5km.tif
14 - DEM-slope_5km.tif
15 - steppic_zone.zip
DOI: 10.17026/pt/oujr9h
title: Data from: Large reductions in nutrient losses needed to avoid future coastal eutrophication across Europe

description: The csv files "MARINA-Nutrients_model_results_for_2050_per_basin", "sum_TDN_TDP_exports_by_rivers_for_Europe", "top_rivers_with_excess_TDN_export_for_2050" and "top_rivers_with_excess_TDP_export_for_2050" 
contain the main results of Ural-Janssen et al. (2024). The model results are presented in unit of load (Gg/yr) and yield (kg/km2/yr, area normalized) for the current (period of 2017-2020) and future (2050) per river basin. 
These results are obtained by model application for 2050 based on a baseline scenario (SSP5-RCP8.5), following the equations that are provided in the "Materials and methods" of the paper and in the "Supplementary Information" of the paper. 
The folder contains "codebook.csv" file for further description on the model parameters.
DOI: 10.17026/pt/tnmwhp
title: Multimodal Deep Learning-Based Drought Monitoring Research for Winter Wheat During Critical Growth Stages

description: The minimum data set involved in the drought monitoring study of key growth stages of winter wheat based on multimodal deep learning, including wheat drought stress images, soil and meteorological data.
DOI: 10.17026/pt/v6xgb9
title: Biomechanical testing of ex vivo porcine tendons following high intensity focused ultrasound thermal ablation

description: vivo porcine tendons (n=72) were embedded in an agar phantom and randomly assigned to 12 groups based on MRgFUS treatment. The treatment time was 10, 20, or 30s, and the applied acoustic power was 25, 50, 75, or 100W. Following each MRgFUS treatment, tendons underwent biomechanical tensile testing on an Instron machine, which calculated stress-strain curves during tendon elongation. Rupture rate, maximum treatment temperature, Young’s modulus and ultimate strength were analyzed for each treatment energy.
DOI: 10.17026/dans-xx8-ffep
title: Ajax 1814
title: Reizen van Hellevoetsluis naar Boston, van Boston naar Texel (Hellevoetsluis)

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;Reizen van Hellevoetsluis naar Boston, van Boston naar Texel (Hellevoetsluis)&lt;/p&gt;
description: Date: 2003-11-30
DOI: 10.17026/pt/expaqp
title: Dataset from the study entitled "From feed to fish? Nutrient budgets indicate strong variation in the fate of nutrients in aquaculture systems"

description: The Excel file "Nutrient Budget from Aquaculture Ponds" contains the primary data extracted from approved papers using the StArt software. The complete list of papers resulting from the search, sorted using the StArt software, can be found in the "StArt Report" file.

The Excel file "Nutrient Budget from Aquaculture Ponds" is divided into four different sheets:
1. Studies Data: This sheet contains information about the paper locations and fish production aspects (e.g., fish species, yield, pond size).
2. Evaluated Nutrients and Compartments: For papers reporting the budget (as listed in the previous sheet), this sheet indicates which budget terms and nutrients were evaluated.
3. Budget Percentages: This sheet provides calculations of the contribution of different compartments to the budgets of carbon, nitrogen, and phosphorus.
4. Nutrient Rates (kg ha-1 d-1): Based on pond size and nutrient data (in kg per ha per day, kg, g per m2, or g), this table calculates daily assimilation rates of carbon, nitrogen, and phosphorus.

The Excel file "StArt Report" is also divided into two sheets:
Protocol: Includes the protocol used to sort papers imported from libraries.
Papers: Lists all papers obtained from the search bases specified in the protocol, along with their status (duplicated, accepted, rejected) based on inclusion or exclusion criteria.

The flowchart of the paper selection is provided in the Supplementary Materials of the paper and other tables containing additional information.
DOI: 10.17026/pt/w6bfuz
title: Data from: Modelling Future Coastal Water Pollution: impacts of point sources, socio-economic developments & multiple pollutants

description: The csv files "Fig1_MARINA-Multi_model_results_2010_2100_per_subbasin" and "Fig2_MARINA-Multi_model_2100_AlternativeScenarios"
contain the main results of Bak et al. (2024). The model results are presented in unit of load (kg/yr or g/yr) and yield (kg/km2/yr, area normalized) for the years 2010 and 2100 per river sub-basin. 
These results are obtained by model application for 2100 based on a reference scenario (SSP2-RCP2.6), following the equations that are provided in the "Methods" section of the paper and in the "Supplementary Information" of the paper. 
The folder contains "Fig1_codebook.csv" and "Fig2_codebook.csv" files for further description on the model parameters/abbreviations.
description: RStudio
DOI: 10.17026/pt/91k0ss
title: Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding
title: Implementation and Source Codes
title: MMEO

description: &lt;p&gt;📌 This repository is a collection of all sub-repositories each of which has been been developed to solve a specific objective set by this research. The repositories are organized as follows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;LabelNoise&lt;/strong&gt;: Implementatoin to simulate of label noise and then prepare the dataset for training and comparison.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;SegHead&lt;/strong&gt;: Efficient semantic segmentation Head with lower memory footprint and compute requirement without comprimising model performance.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;TransFusion&lt;/strong&gt;: Implementation TranFusion, a transformer based multimodal network for fusing Image and 3D point cloud further improving 2D semaantic segmentation.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;&lt;p&gt;&lt;strong&gt;SOTA-Test&lt;/strong&gt;: This repository contains implementations of various SOTA models for quantitative comparison and benchmarking purposes.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
description: MMEO, 1.0 (R)
description: If you use this repository please consider citing:

@phdthesis{MaitiPhDThesis,
 title = {{Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding}},
 ISBN = {9789036560290},
 url = {https://doi.org/10.3990/1.9789036560290},
 DOI = {10.3990/1.9789036560290},
 school = {University Library/University of Twente},
 author = {Maiti, Abhisek}
}
DOI: 10.17026/pt/eezgny
title: Data from: "Dune establishment drivers on the beach: narrowing down the window of opportunity".

description: Data from: "Dune establishment drivers on the beach: narrowing down 
the window of opportunity"

In the study, we looked at factors affecting the establishment of dune-building grasses on the beach. We combined an extensive field mapping campaign with an establishment experiment carried out at four different beaches in the Netherlands. During the mapping campaign, we mapped the occurrence of grass seedlings and adult grasses on Midsland (Terschelling) and the Sand Engine. In the establishment experiment we introduced seeds and rhizome pieces from Ammophila arenaria (marram grass) and Elytrigia juncea (sand couch) on Midsland, Formerum, Oosterend and the Sand Engine. We followed their establishment success by determining the number of emerged shoots relative to the introduced plant material. We also measured soil moisture, salinity and the change in beach bed level. Furthermore, we recorded the occurrence of tiny dunes and measured their heights. For further information see the publication.
DOI: 10.17026/pt/hpecy4
title: Temperature-depth and geological borehole descriptions from near the 'La Cabine' groundwater abstraction station, Netherlands

description: Data underlying scientific study of the hydrogeology and geothermal patterns surrounding the 'La Cabine' groundwater abstraction station, Netherlands
description: Borehole descriptions originated from TNO Dutch Geological Society (dinoloket.nl). Location coordinates are included in these files in the Dutch coordinate system (Amersfoort / RD New). 

Thermal data were collected between 2016 and 2023 by VF Bense (WUR). Thermal data files have a filename that indicates the borehole in which the temperature-depth profile was taken, as well as the date of collection. 'RBR' denotes the instrument with which the data was collected, RBR soloT (rbr-global.com).
DOI: 10.17026/pt/ngys7h
title: Dissimilarity-adaptive cross-validation experiments and datasets
title: A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples

description: This data includes all datasets and codes for implementing dissimilarity-adaptive cross-validation experiments, datasets and code, Reademe.txt explains each file's meaning. Appendix includes the descriptions of datasets.
DOI: 10.17026/pt/3nvx8k
title: Integrating in-situ data with satellite-derived products to assess surface-groundwater interactions and sustainability of groundwater resources in semi-arid environment

description: Hydrometeorological data were collected for this PhD project which aims at presenting methods of integration of in-situ data with satellite-derived products, to provide reliable input data for the integrated hydrological model, focussing on its assessment of SW-GW interaction and sustainability of groundwater resources. The ground data were used to validate satellite-based products and to calibrate integrated hydrological model. The project consists four research chapters, 
1. Gebremedhin, M. A., Lubczynski, M., Maathuis, B., & Teka, D. (2021). Novel approach to integrate daily satellite rainfall, with in-situ rainfall, Upper Tekeze Basin, Ethiopia. Atmospheric Research, 248, 1–15. https://doi.org/10.1016/j.atmosres.2020.105135 
2. Gebremedhin, M. A., Lubczynski, M. W., Maathuis, B. H. P., Daoud, M. G., & Teka, D. (2023). Spatio-temporal rainfall interception loss at the catchment scale from earth observation in a data-scarce area , Northern Ethiopia. Journal of Hydrology, 626. https://doi.org/10.1016/j.jhydrol.2023.130126 
3. Gebremedhin, M. A., Lubczynski, M. W., Maathuis, B. H. P., & Teka, D. (2022). Deriving potential evapotranspiration from satellite-based reference evapotranspiration, Upper Tekeze Basin, Northern Ethiopia. Journal of Hydrology: Regional Studies, 41. https://doi.org/10.1016/j.ejrh.2022.1010594. 
4. Gebremedhin, M. A., Lubczynski, M. W., Maathuis, B. H. P., Daoud, M.G., & Teka, D. (2024). Spatio-temporal variability of surface-groundwater interactions in complex hydro(geo)logical system, Zamra catchment, Ethiopia. Prepared for submission to Journal (Science of Total Environment)
DOI: 10.17026/pt/x505jo
title: Replication Data for: The divergence of energy- and water-balance evapotranspiration estimates in humid regions

description: Evapotranspiration (ET) calculated as the residual of catchment water balance (ETWB) has often been used as a benchmark to evaluate satellite-based ET retrievals that use the energy-balance approach (ETEB). However, errors from water balance components will accrue in ETWB, leading to considerable disparities with ETEB. In this dataset, we set out to investigate whether ETEB from multiple sources (MOD16, GLEAM, PT-JPL, and PT-hybrid) can capture the spatiotemporal variability of ETWB across 53 catchments in central-western Europe with a humid climate.
DOI: 10.17026/pt/xif2oa
title: Replication Data for: Association of catchment characteristics to Budyko hydrologic model’s uncertainty in humid catchments

description: Accurate quantification of precipitation partitioning into evapotranspiration and runoff is important for global water balance estimation and water resources management. The Budyko framework is a simple and robust solution to parameterize precipitation partitioning for studying catchment-level water and energy fluxes. However, substantial variations between the observed and Budyko-predicted evaporative indices have been observed. Many studies have attributed the scatter around the Budyko curve to catchment characteristics (e.g., vegetation and soil properties), which are not directly accounted for in the Budyko framework. However, modified Budyko-type equations that consider catchment characteristics are not transferable between regions and the interannual catchment behaviours still fail to follow the adjusted Budyko trajectories. To explore if the pronounced Budyko scatter in humid catchments has a systematic pattern caused by measurable catchment properties, this dataset comprehensively investigated the relationship between Budyko scatter and multiple catchment biophysical features from both spatial and temporal perspectives.
DOI: 10.17026/pt/txau9w
title: Python functions -- cross-validation methods from a data-driven perspective

description: This is the organized python functions of proposed methods in Yanwen Wang PhD research. Researchers can directly use these functions to conduct spatial+ cross-validation, dissimilarity quantification method, and dissimilarity-adaptive cross-validation.
DOI: 10.17026/pt/iflwwz
title: Data for research paper "Temporal complementarity drives nitrogen uptake in crop species mixtures with or without legumes"

description: The data contains above-ground biomass and N uptake of maize, wheat, faba bean, and pea that are relevant for the research paper "Temporal complementarity drives nitrogen uptake in crop species mixtures with or without legumes".
DOI: 10.17026/pt/fxxayo
title: The MODFLOW files and OCK co-variables used for the Maqu catchment, the Tibetan Plateau

description: The calibrated MODFLOW files for the Maqu catchment, and co-variables for OCK.
DOI: 10.17026/pt/ey5tyh
title: Outcomes survey 2021 EA contribution

description: Contains the data that are part of the publication: Areas where Enterprise Architecture Contributes to Organizational Goals – A Quantitative Study in the Netherlands.
DOI: 10.17026/pt/r2qitk
title: Data from: "The future of algal blooms in lakes globally is in our hands"

description: The csv file "dataset_tigli_et_al_2024.csv" contains the main results of Tigli et al. (2024). The file cotains the yearly mean chlorophyll-a concentration in mg/m3 for each representative lakes, as modelled by PCLake+, and the respective chla-TSI (1-100). The chlorophyll-a is provided for the baseline ("hist") and for two future scenarios ("ffd" and "sd"), representitive of RCP8.5-SSP5 and RCP2.6-SSP1 respecrtively. The chlorophyll-a for each future scenario is showed as modelled with only the nutrients ("N"), only the climate ("C") and both the nutrients and climate ("C_and_N").The folder contains "codebook_tigli_et_al_2024.csv" for further description on the model outputs
DOI: 10.17026/pt/fkiqdb
title: High-resolution, laboratory acquired hyperspectral images of rock samples from the footwall of the Kangaroo Caves Cu-Zn deposit, Pilbara, Western Australia

description: The data set consists of a series of 11 hyperspectral images of hydrothermally altered rock samples from the footwall of the Kangaroo Caves volcanogenic massive sulfide deposit in the East Pilbara Granite Greenstone Terrane in Western Australia. The rock samples were collected along a transect that crosscut several alteration zones, one chlorite-quartz and two quartz-sericite alteration zones. Samples were acquired during a field visit in 2003. Ancillary rock sample data and descriptions are available from the opnline archive https://phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi:10.17026/dans-2zz-a4td. with doi: 10.17026/dans-2zz-a4td.

The image data set consists of laboratory-acquired hyperspectral images from slabs of the 11 rock samples with a Specim SWIR camera (model SWIR 3, Serial number SN430024, date 12.11.2015) and OLES Macro lens mounted in a Sisuchema instrument setup (Specim, Spectral Imaging Ltd, Oulu, Finland) from 894 to 2511 nm in 288 bands at 26 µm pixel size. Image sizes were 384 by approximately 1200 pixels, resulting in images of a width of 11 mm and a length of approximately 4 cm. 

The images are provided in reflectance. The raw images were converted to reflectance using dark current and white reference measurements acquired during the recording of the images. The images are noise reduced by i) checking for bad pixels that produced anomalous pixel-values, ii) the identification and removal of bad bands near the lower (1000 nm) and higher (2500 nm) margins of the measured wavelength range, and iii) application of a spatial-spectral smoothing filter that averaged five spatial and two spectral neighboring pixel values. 

The images are provided in ENVI file format and can be opened/viewed in Hyperspectral Python.
DOI: 10.17026/pt/7d5wrk
title: Drone Orthomosaics & DEMs Adventdalen & Endalen summer 2024

description: Very high resolution (centimeter range) seasonal RGB orthomosaics & digital terrain models derived from DJI Mavic 2 Pro drone images using photogrammetry. See metadata in readme file.

For use, cite this dataset & include DOI
description: R
description: Agisoft Metashape
DOI: 10.17026/pt/miui6q
title: Dataset belonging to "Plastic Transport in Rivers: Bridging the Gap Between Surface and Water Column"

description: Dataset belonging to "Plastic Transport in Rivers: Bridging the Gap Between Surface and Water Column".
In this study, we evaluated the vertical distribution of macro- and mesoplastics, using a larvae net and a trawl net in the river Rhine and its two major branches, i.e. Waal and IJssel. Subsequently, to estimate the relationship between the surface transport of plastic items, i.e., floating items, compared to the transport in deeper layers in the water column, including suspended and bed-transported plastic, an extrapolation factor was derived per day for the middle and bottom nets divided by those found in the surface net. The observed macro- and mesoplastic OSPAR categories collected in different layers in the water column were rather consistent between different sampling techniques. Fragments of soft mesoplastic falling under the category “Plastic film plastics 0-2.5 cm (soft)" were recorded most frequently in the investigated rivers with our monitoring techniques. During larvae net monitoring, hard plastics were more frequently found at the river surface than at the middle or bottom of the river for both macroplastic and mesoplastics, while soft plastics were more frequently detected near the bottom. For larvae net monitoring, the extrapolation factor, reflecting the concentration ratio of macroplastic items transport at different depths, i.e., from the surface downwards to the middle and the bottom ranged between 0.38 to 2.2 and 0.36 to 5.7, respectively. The extrapolation factor of mesoplastic transport from the surface downwards to the middle and the bottom ranged between 0.70 to 1.84 and 0.69 to 2.57. During trawl net monitoring, the extrapolation factor, reflecting the concentration ratio, for macroplastic ranged between 0.82 – 1.30, and for mesoplastic between 0.52 – 1.40. Overall, the findings of this study show that estimates of plastic concentrations solely based on surface transport could result in an under- or overestimation of riverine plastic transport.
DOI: 10.17026/pt/xk27u5
title: Data underlying the publication: Competition for light drives yield components in strip intercropping in the Netherlands

description: The data have been presented in Figs 4–7 in the publication.
Ten treatments have been indicated by treatment codes as "MM" for maize monocrop, "WW" for wheat monocrop, "BB" for faba bean monocrop, "PP" for pea monocrop, "MW" for maize/wheat intercrop, "MB" for maize/faba bean intercrop, "MP" for maize/pea intercrop, "WB" for faba bean/wheat intercrop, "BP" for faba bean/pea intercrop, and "WP" for wheat/pea intercrop.
DOI: 10.17026/pt/rinrdz
title: Replication Data for: Geophysical and GeoAI Based Evaluation and Modelling of Earthquake Induced Landslides.

description: This is the data for PhD thesis entitled "Geophysical and GeoAI based Evaluation and Modelling of Earthquake Induced Landsldies". The relevant code and data are provided for the reproduce the results.
DOI: 10.17026/pt/ftdnq7
title: The Enterprise Architecture Value Assessment Instrument
title: EA Value Instrument

description: In the course of my PhD, an instrument to assess the (perceived) value of Enterprise Architecture (EA) has been developed. The instrument consists of three sets of questions: for developers, implementers, and users of EA and it has been validated in four case studies and a survey. 
All questions in the instrument can be traced back to value items found in the literature about EA value up to 2022.
DOI: 10.17026/pt/alrboj
title: Data modeling and interoperability for an inclusive and distributed land administration system: the case of a LADM based country profile for kenya

description: Data for the PhD thesis: Data modeling and interoperability for an inclusive and distributed land administration system: the case of a LADM based country profile for Kenya.
description: SurveyMonkey
description: Enterprise Architect, 15.2
description: ArcGIS Pro, 3.3
description: Dataset from the questionnaire, focused group discussion and data model
DOI: 10.17026/pt/4bqnxw
title: Replication Data for: Synergy of Airborne Thermal Infrared Imagery and Light Detection And Ranging for Geothermal Mapping

description: This is the data for PhD thesis entitled "Synergy of Airborne Thermal Infrared Imagery and Light Detection And Ranging for Geothermal Mapping". The relevant data are provided to reproduce the results.