DANS Data Station Physical and Technical Sciences

Metrics

1,005,768 Downloads

This Data Station allows you to deposit and search for data within the field of Physical and Technical Sciences.
If you want to deposit data, please consult the selection policy of the DANS Data Stations.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 873 Results

Quantitative petrographic data for the publication: Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend Jan 9, 2026 S. Mulder, 2026, "Quantitative petrographic data for the publication: Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend", https://doi.org/10.17026/PT/QEZHYF, DANS Data Station Physical and Technical Sciences, V1 This repository contains raw and processed data for the paper: "Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend " by Mulder et al. (2026). The dataset comprises quantitative point-count data from 310 sandstone samples, documenting detrital and authigenic mineral composition, grain-...
Quantitative petrographic data for the paper: Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field Jan 9, 2026 S. Mulder, 2026, "Quantitative petrographic data for the paper: Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field", https://doi.org/10.17026/PT/DXA7VN, DANS Data Station Physical and Technical Sciences, V1, UNF:6:rx4MyhuF2OQ1UC21J3brFg== [fileUNF] This repository contains raw and processed data for the paper: "Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field" by Mulder et al. (2025). The dataset comprises quantitative point count data of authigenic minerals of Rotliegend sandstones from the Groningen gas field. It also includes processed correlation analysis plot data...
Map2ImLas: Large-Scale 2D-3D Airborne Dataset with Map-Based Annotations Jan 8, 2026 G. Anjanappa, 2026, "Map2ImLas: Large-Scale 2D-3D Airborne Dataset with Map-Based Annotations", https://doi.org/10.17026/PT/JO7KVJ, DANS Data Station Physical and Technical Sciences, V1 This large-scale benchmark dataset was created using topographic maps and high-resolution 2D and 3D airborne data from the Netherlands, acquired in 2022. It consists of 2,413 spatially matching and non-overlapping tiles, including maps, 2D true orthophotos, digital surface models (DSMs), and 3D point clouds. The dataset covers approximately 217 squ...
Replication Data for: Using a triple sensor collocation approach to evaluate small-holder irrigation scheme performances in Northern Ethiopia. Dec 19, 2025 A.A. Mohammedshum, 2025, "Replication Data for: Using a triple sensor collocation approach to evaluate small-holder irrigation scheme performances in Northern Ethiopia.", https://doi.org/10.17026/PT/SF3GUH, DANS Data Station Physical and Technical Sciences, V1, UNF:6:np5iaaKeLHukScmWbUTN5Q== [fileUNF] The dataset includes field data collected directly from farmers, incorporating yield and water use information. Secondly, WaPOR time series data are utilized via yield and actual evapotranspiration and interception, and thirdly, the Aqua Crop model is employed. Fourthly, the triple collocation analysis was conducted to identify the best estimate fr...
Replication Data for: Mapping small-scale irrigation areas using expert decision rules and the random forest classifier in Northern Ethiopia Dec 19, 2025 A.A. Mohammedshum, 2025, "Replication Data for: Mapping small-scale irrigation areas using expert decision rules and the random forest classifier in Northern Ethiopia", https://doi.org/10.17026/PT/VADVHW, DANS Data Station Physical and Technical Sciences, V1 The researcher has expert knowledge using the Planet Scope monthly NDVI composites, available in Google Earth Engine. Next, the Integrated Land and Water Information System was used to calculate slope, drainage order, and distance, as well as the NDVI-sum and Random Forest classifier inputs, which contain the necessary inputs and Python code. The R...
Replication Data for: Interaction between phenology and climate based on multi-source remote sensing observations Dec 15, 2025 S. Shi, 2025, "Replication Data for: Interaction between phenology and climate based on multi-source remote sensing observations", https://doi.org/10.17026/PT/HG8NAP, DANS Data Station Physical and Technical Sciences, V1 The datasets used in the PhD research include multi-source remote sensing products, meteorological reanalysis data, and in-situ flux observations. These data collectively support the investigation of land surface phenology and its climatic drivers. The analyses specifically focus on the influences of temperature and precipitation on the initiation...
Data from Future scenarios for river exports of multiple pollutants by sources and sub-basins worldwide: rising pollution for the Indian Ocean Dec 9, 2025 I. Micella; C. Kroeze; P. M. Bak; Tang, Ting; Y. Wada; M. Strokal, 2024, "Data from Future scenarios for river exports of multiple pollutants by sources and sub-basins worldwide: rising pollution for the Indian Ocean", https://doi.org/10.17026/PT/EOYPIN, DANS Data Station Physical and Technical Sciences, V3, UNF:6:Izr7Mb3ef+Vr7qS4tc3aBA== [fileUNF] In the future, rivers may export more pollutants to coastal waters, driven by socio-economic development, increased material consumption, and climate change. However, existing scenarios often ignore multi-pollutant problems. Here, we aim to explore future trends in river exports of nutrients (N and P), plastics (macro and micro), and emerging conta...
Raw results underlying the study: Life cycle and local environmental impacts of floating photovoltaic (FPV) systems Nov 25, 2025 D.M. Seitz, 2025, "Raw results underlying the study: Life cycle and local environmental impacts of floating photovoltaic (FPV) systems", https://doi.org/10.17026/PT/LMABM6, DANS Data Station Physical and Technical Sciences, V1, UNF:6:jfzINKj2TW7G4dc1BDPPCg== [fileUNF] This dataset contains additional data for transparency and reproducibility of the study "Life cycle and local environmental impacts of floating photovoltaic (FPV) system" (main text and supporting information (SI)). The dataset consists of raw data Excel files and base data for figures presented in the study and its SI. The raw data Excel files con...
Data underlying the publication: How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The NetherlandsEmbargoed Nov 13, 2025 M. Schilstra; M. Wang; M. Strokal; S.J. Sutanto; W.S. Chen, 2026, "Data underlying the publication: How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands", https://doi.org/10.17026/PT/YXHNBX, DANS Data Station Physical and Technical Sciences, V1 This dataset supports the analysis presented in the paper “How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands.” It enables reproduction of scenario-based simulations of Combined Sewer Overflows (CSOs) and nutrient loads (TN, TP) in Breda using the Storm Water Management Model (SWMM...
Replication data for "Benchmarking methods for identifying phenological regions"Embargoed Nov 13, 2025 L. de Oto; M. Khodadadzadeh; Izquierdo-Verdiguier, Emma; R. Zurita-Milla, 2026, "Replication data for "Benchmarking methods for identifying phenological regions"", https://doi.org/10.17026/PT/Y1ZQAZ, DANS Data Station Physical and Technical Sciences, V1 This dataset accompanies the manuscript “Benchmarking methods for identifying phenological regions.” It comprises two components representing the raw data used in the benchmarking experiments: a synthetic dataset and a real-world remote sensing-based dataset. Both components are designed to support reproducibility and facilitate further research on...

Quantitative petrographic data for the publication: Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend

Jan 9, 2026

S. Mulder, 2026, "Quantitative petrographic data for the publication: Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend", https://doi.org/10.17026/PT/QEZHYF, DANS Data Station Physical and Technical Sciences, V1

This repository contains raw and processed data for the paper: "Depositional and grain-scale controls on sandstone heterogeneity in arid continental settings: the Dutch Rotliegend " by Mulder et al. (2026). The dataset comprises quantitative point-count data from 310 sandstone samples, documenting detrital and authigenic mineral composition, grain-...

Quantitative petrographic data for the paper: Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field

Jan 9, 2026

S. Mulder, 2026, "Quantitative petrographic data for the paper: Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field", https://doi.org/10.17026/PT/DXA7VN, DANS Data Station Physical and Technical Sciences, V1, UNF:6:rx4MyhuF2OQ1UC21J3brFg== [fileUNF]

This repository contains raw and processed data for the paper: "Diagenetic Evolution of Rotliegend Sandstones in the Groningen Gas Field" by Mulder et al. (2025). The dataset comprises quantitative point count data of authigenic minerals of Rotliegend sandstones from the Groningen gas field. It also includes processed correlation analysis plot data...

Map2ImLas: Large-Scale 2D-3D Airborne Dataset with Map-Based Annotations

Jan 8, 2026

G. Anjanappa, 2026, "Map2ImLas: Large-Scale 2D-3D Airborne Dataset with Map-Based Annotations", https://doi.org/10.17026/PT/JO7KVJ, DANS Data Station Physical and Technical Sciences, V1

This large-scale benchmark dataset was created using topographic maps and high-resolution 2D and 3D airborne data from the Netherlands, acquired in 2022. It consists of 2,413 spatially matching and non-overlapping tiles, including maps, 2D true orthophotos, digital surface models (DSMs), and 3D point clouds. The dataset covers approximately 217 squ...

Replication Data for: Using a triple sensor collocation approach to evaluate small-holder irrigation scheme performances in Northern Ethiopia.

Dec 19, 2025

A.A. Mohammedshum, 2025, "Replication Data for: Using a triple sensor collocation approach to evaluate small-holder irrigation scheme performances in Northern Ethiopia.", https://doi.org/10.17026/PT/SF3GUH, DANS Data Station Physical and Technical Sciences, V1, UNF:6:np5iaaKeLHukScmWbUTN5Q== [fileUNF]

The dataset includes field data collected directly from farmers, incorporating yield and water use information. Secondly, WaPOR time series data are utilized via yield and actual evapotranspiration and interception, and thirdly, the Aqua Crop model is employed. Fourthly, the triple collocation analysis was conducted to identify the best estimate fr...

Replication Data for: Mapping small-scale irrigation areas using expert decision rules and the random forest classifier in Northern Ethiopia

Dec 19, 2025

A.A. Mohammedshum, 2025, "Replication Data for: Mapping small-scale irrigation areas using expert decision rules and the random forest classifier in Northern Ethiopia", https://doi.org/10.17026/PT/VADVHW, DANS Data Station Physical and Technical Sciences, V1

The researcher has expert knowledge using the Planet Scope monthly NDVI composites, available in Google Earth Engine. Next, the Integrated Land and Water Information System was used to calculate slope, drainage order, and distance, as well as the NDVI-sum and Random Forest classifier inputs, which contain the necessary inputs and Python code. The R...

Replication Data for: Interaction between phenology and climate based on multi-source remote sensing observations

Dec 15, 2025

S. Shi, 2025, "Replication Data for: Interaction between phenology and climate based on multi-source remote sensing observations", https://doi.org/10.17026/PT/HG8NAP, DANS Data Station Physical and Technical Sciences, V1

The datasets used in the PhD research include multi-source remote sensing products, meteorological reanalysis data, and in-situ flux observations. These data collectively support the investigation of land surface phenology and its climatic drivers. The analyses specifically focus on the influences of temperature and precipitation on the initiation...

Data from Future scenarios for river exports of multiple pollutants by sources and sub-basins worldwide: rising pollution for the Indian Ocean

Dec 9, 2025

I. Micella; C. Kroeze; P. M. Bak; Tang, Ting; Y. Wada; M. Strokal, 2024, "Data from Future scenarios for river exports of multiple pollutants by sources and sub-basins worldwide: rising pollution for the Indian Ocean", https://doi.org/10.17026/PT/EOYPIN, DANS Data Station Physical and Technical Sciences, V3, UNF:6:Izr7Mb3ef+Vr7qS4tc3aBA== [fileUNF]

In the future, rivers may export more pollutants to coastal waters, driven by socio-economic development, increased material consumption, and climate change. However, existing scenarios often ignore multi-pollutant problems. Here, we aim to explore future trends in river exports of nutrients (N and P), plastics (macro and micro), and emerging conta...

Raw results underlying the study: Life cycle and local environmental impacts of floating photovoltaic (FPV) systems

Nov 25, 2025

D.M. Seitz, 2025, "Raw results underlying the study: Life cycle and local environmental impacts of floating photovoltaic (FPV) systems", https://doi.org/10.17026/PT/LMABM6, DANS Data Station Physical and Technical Sciences, V1, UNF:6:jfzINKj2TW7G4dc1BDPPCg== [fileUNF]

This dataset contains additional data for transparency and reproducibility of the study "Life cycle and local environmental impacts of floating photovoltaic (FPV) system" (main text and supporting information (SI)). The dataset consists of raw data Excel files and base data for figures presented in the study and its SI. The raw data Excel files con...

Data underlying the publication: How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The NetherlandsEmbargoed

Nov 13, 2025

M. Schilstra; M. Wang; M. Strokal; S.J. Sutanto; W.S. Chen, 2026, "Data underlying the publication: How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands", https://doi.org/10.17026/PT/YXHNBX, DANS Data Station Physical and Technical Sciences, V1

This dataset supports the analysis presented in the paper “How do combined sewer overflows behave under climate and socioeconomic changes: a case study in Breda, The Netherlands.” It enables reproduction of scenario-based simulations of Combined Sewer Overflows (CSOs) and nutrient loads (TN, TP) in Breda using the Storm Water Management Model (SWMM...

Replication data for "Benchmarking methods for identifying phenological regions"Embargoed

Nov 13, 2025

L. de Oto; M. Khodadadzadeh; Izquierdo-Verdiguier, Emma; R. Zurita-Milla, 2026, "Replication data for "Benchmarking methods for identifying phenological regions"", https://doi.org/10.17026/PT/Y1ZQAZ, DANS Data Station Physical and Technical Sciences, V1

This dataset accompanies the manuscript “Benchmarking methods for identifying phenological regions.” It comprises two components representing the raw data used in the benchmarking experiments: a synthetic dataset and a real-world remote sensing-based dataset. Both components are designed to support reproducibility and facilitate further research on...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications