cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-2by-bna3
title: Compromised through Compression: Python source code for DLMS compression privacy analysis graphing

description: Python code (for Python 3.9 Pandas 1.3.2) to generate the results used in Compromised through Compression: Privacy Implications of Smart Meter Traffic Analysis.Smart metering comes with risks to privacy. One concern is the possibility of an attacker seeing the traffic that reports the energy use of a household and deriving private information from that. Encryption helps to mask the actual energy measurements, but is not sufficient to cover all risks. One aspect which has yet gone unexplored — and where encryption does not help — is traffic analysis, i.e. whether the length of messages communicating energy measurements can leak privacy-sensitive information to an observer. In this paper we examine whether using encodings or compression for smart metering data could potentially leak information about household energy use. Our analysis is based on the real-world energy use data of ±80 Dutch households.We find that traffic analysis could reveal information about the energy use of individual households if compression is used. As a result, when messages are sent daily, an attacker performing traffic analysis would be able to determine when all the members of a household are away or not using electricity for an entire day. We demonstrate this issue by recognizing when households from our dataset were on holiday. If messages are sent more often, more granular living patterns could likely be determined.We propose a method of encoding the data that is nearly as effective as compression at reducing message size, but does not leak the information that compression leaks. By not requiring compression to achieve the best possible data savings, the risk of traffic analysis is eliminated.This code operates on the relative energy measurements from the Zonnedael dataset from Liander N.V. This dataset needs to be obtained separately; see instructions accompanying the code. The code transforms the dataset into absolute measurements such as would be taken by a smart meter. It then generates batch messages covering 24-hour periods starting at midnight, similar to how the Dutch infrastructure batches daily meter readings, in the different possible encodings with and without compression applied. For an explanation of the different encodings, see the paper. The code will then provide statistics on the efficiency of encoding and compression for the entire dataset, and attempt to find the periods of multi-day absences for each household. It will also generate the graphs in the style used in the paper and presentation.
DOI: 10.17026/dans-25f-j6r2
title: Remote sensing for mapping ecosystem services to support evaluation of ecological restoration interventions in an arid landscape

description: 1. The word document "Source and processing of GIS-RS input data" contains the information of the used Sentinel-2 and DEM data and details of the followed pre-processing steps.2. Calculation of weighted average: the Geodatabase and the Toolbox can be opened in ArcGis. The model in the "WeightedAverage" tbx contains the steps to calculate the values of four vegetation indices for each pixel portion inside each plot. The resulting attribute table can be copied to excel and values/plot can be calculated using the proportional area of each polygon in proportion to the plot area. Notes: a) some very small polygons will require manual filling of the VIs value. b) Check the new location (folder) of the inputs and outputs for each step of the model (model builder).3. The following geo files are input for the model builder in ArcGis (model in the tbx) that need to be transformed into a geodatabase "WeightedAverage":- Shapefiles: all files named "Buffer_Plots_2017", "FishNet10m", "FishNet_DEM12.5", "PlotPolygones", "FishDEM30".- Raster files: all files named "SAVI_Clip", "bi_Clip", "ireci_Clip", "mtci_Clip", "ndi45_Clip", "Slope30utm", "Slope_Degree".4. Models. The R script ModelsP1 contains the information on the model selection process and parameter estimation using K-fold using the examples of two models for two ecosystem services. Use the provided excel file as input.
DOI: 10.17026/dans-28h-n6zj
title: Data S1: Limits to Paris-compatibility of CO2 capture and utilisation. One Earth

description: This dataset accompanies a journal article with the title 'Limits to Paris-compatibility of CO2 capture and utilisation' which is expected to feature in the February 2022 isssue of the journal One Earth. The dataset includes the greenhouse gas emissions of CO2 capture and utilisation technologies for 2030 and 2050, as well as source data for the results figures in the article.
DOI: 10.17026/dans-xwy-aqvn
title: Valuing Soil's Economic Worth: Vol. 1

description: Datasets used in the econometric analysis of soil value in the Phillippine town of Norzagaray Bulacan
DOI: 10.17026/dans-xym-hhbq
title: The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE

description: This dataset corresponds to the research described in:C. van der Tol, N. Vilfan, D. Dauwe, M-P. Cendrero-Mateo, P. Yang (2019), ‘The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE’, accepted for publication in Remote Sensing of EnvironmentThe dataset consists of two parts:1. Field data of leaf reflectance, transmittance and chlorophyll fluorescence collected in the summer of 2015 at Campus Klein Altendorf (50.61297 N ,6.99420 E) on two varieties of Soybean2. Model simulation and figure plotting code to analyse the radiative transfer of fluorescence in leaves and vegetation canopies.
DOI: 10.17026/dans-24e-mqfd
title: Active and incremental learning for semantic ALS point cloud segmentation

description: Supervised training of a deep neural network for semantic segmentation of point clouds requires a large amount of labelled data. Nowadays, it is easy to acquire a huge number of points with high density in large-scale areas using current LiDAR and photogrammetric techniques. However it is extremely time-consuming to manually label point clouds for model training. We propose an active and incremental learning strategy to iteratively query informative point cloud data for manual annotation and the model is continuously trained to adapt to the newly labelled samples in each iteration. We evaluate the data informativeness step by step and effectively and incrementally enrich the model knowledge. We use the airborne laser scanning point clouds captured over the Rotterdam central to evaluate our proposed method.
DOI: 10.17026/dans-xzg-nqdg
title: Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data

description: Detecting topographic changes in an urban environment and keeping city-level point clouds up-to-date are important tasks for urban planning and monitoring. In practice, remote sensing data are often available only in different modalities for two epochs. Change detection between airborne laser scanning data and photogrammetric data is challenging due to the multi-modality of the input data and dense matching errors. The data contain three sub-datasets: "ALS-g-raw.las" are the ground laser points. "ALS-u-raw.las" are the non-ground laser points. "RawPC(lasgrid)(39M).las" are the dense matching points. Our method proposes an end-to-end pseudo-Siamese convolutional neural network (PSI-CNN) for change detection between the two types of point clouds.
DOI: 10.17026/dans-2bc-4qgc
title: Real-Time Community Detection in Full Social Networks on a Laptop

description: The project analysed the performance of community detection algorithms on the Twitter social network operating on a graph compressed using minhash signatures. The data supplied gives minhash signatures of roughly 16,000 Twitter users who have been classified into 16 categories. It is described in https://arxiv.org/abs/1601.03958 and together with code at https://github.com/melifluos/LSH-community-detection allows the results within to be replicated.
DOI: 10.17026/dans-x72-d9h2
title: Patterns of information – clustering books and readers in open access libraries

description: The question is how open access libraries can offer comparable services to online retailers such as Amazon.com while retaining the readers’ privacy. A possible solution can be found in analysing the preferences of groups or communities. In other words, to explore the possibility to uncover sets of documents with a meaningful connection for groups of readers. The solution depends on examining patterns of usage, instead of storing information about readers.This paper will investigate the possibility to uncover the preferences of user groups within an open access digital library using social networking analysis techniques
DOI: 10.17026/dans-z89-ynxb
title: Valuing Soil's Economic Worth: Vol. 2

description: Economic valuation of soil worth using non-market based approaches (namely replacement cost method, substitution cost, and damage cost avoided)
DOI: 10.17026/dans-xdt-tf9f
title: Data for "Extremely wet summer events enhance permafrost thaw for multiple years in Siberian tundra"

description: Permafrost thaw can accelerate climate warming by releasing carbon from previously frozen soil in the form of greenhouse gases. Rainfall extremes have been proposed to increase permafrost thaw, but the magnitude and duration of this effect are poorly understood. Here we present empirical evidence showing that one extremely wet summer (+100mm; 120% increase relative to average June – August rainfall) enhanced thaw depth by up to 35% in a controlled irrigation experiment in an ice-rich Siberian tundra site. The effect persisted over two subsequent summers, demonstrating a carry-over effect of extremely wet summers. Using soil thermal hydrological modelling, we show that rainfall extremes delayed autumn freeze-up and rainfall-induced increases in thaw were most pronounced for warm summers with mid-summer precipitation rainfall extremes. Our results suggest that, with rainfall and temperature both increasing in the Arctic, permafrost will likely degrade and disappear faster than is currently anticipated based on rising air temperatures alone.
DOI: 10.17026/dans-zt5-qg5e
title: Debunking strategies for misleading bar charts

description: This deposit includes the data that was collected in an experimental study on debunking strategies for misleading bar charts, involving 2 surveys (one week delay) with a total of 24 unique bar charts each with two bars, filled in by 441 representative (age, ethnicity, gender) participants from the USA. De experiment compares four methods for correcting misleading bar charts with truncated vertical axes by measuring the participants evaluated difference between the bars at five time points. Measures were taken on a visual analogue scale. The first survey also included a short graph literacy scale and a question on highest completed educational level.
DOI: 10.17026/dans-zrc-hmz4
title: Long-term assessment of ecosystem services at ecological restoration sites using Landsat time series

description: We developed a method using Landsat satellite images combined with a Before-After-Control-Impact (BACI) design, and applied this to an arid rural landscape, the Baviaanskloof in South Africa. Since 1990, various restoration projects have been implemented to halt and reverse degradation. We applied the BACI approach at pixel-level comparing the conditions of each intervened pixel (impact) with 20 similar control pixels. By evaluating the conditions before and after the restoration intervention, we assessed the effectiveness of long-term restoration interventions distinguishing their impact from environmental temporal changes. The BACI approach was implemented with Landsat images that cover a 30-year period at a spatial resolution of 30 meter. We evaluated the impact of three interventions (revegetation, livestock exclusion, and the combination of both) on three ecosystem services; forage provision, erosion prevention, and presence of iconic vegetation.
DOI: 10.17026/dans-xes-q29h
title: SusPigSys Data

description: Raw data as collected by Sustainable Pig Systems (SusPigSys) and used for the MSc thesis of Erik Huistra
DOI: 10.17026/dans-xmd-7j9t
title: Separation of hydrodynamic from biogeochemical factors affecting eutrophication in a tropical hydropower reservoir

description: This dataset was used to investigate relationships between the hydrological cycle of an Amazonian reservoir and the water quality of its limnological zones.The dataset includes water quality parameters (nutrients, chl-a, sediments and water transparency (Secchi disk)) which were measured in different limnological zones (riverine, transitional and lacustrine) and years of the studied hydropower reservoir.
DOI: 10.17026/dans-xex-h9sf
title: PrEP cuali

description: Transcription
DOI: 10.17026/dans-z9z-t36z
title: Supplementary data of 'Sentinel-1 soil moisture content retrieval over meadows using a physically based scattering model'

description: The data and supplementary figures of the study 'Sentinel-1 soil moisture content retrieval over meadows using a physically based scattering model', of which a scientific manuscript will soon be submitted.The dataset includes for 21 study fields:- Tables of LAI estimates derived from Sentinel-2 satellite imagery. Sentinel-2 LAI maps were generated by VITO and obtained from the VITO Product Distribution Portal. We processed the maps to field-scale LAI estimates. This contains modified Copernicus Sentinel data [2015-2019].- Tables of soil moisture content retrievals from Sentinel-1 satellite observations, obtained without vegetation correction and with a vegetation correction. This contains modified Copernicus Sentinel data [2015-2018].- Time series figures of the soil moisture content retrievals and references.- Table with coordinates of the study fields.
DOI: 10.17026/dans-xmq-tbf2
title: Exploring Pesticide use and Inter-row management in European Vineyards and their potential Impacts (EPIEVI)

description: The purpose of this agent-based model is to explore the potential impacts of pesticide use and inter-row management of European winegrowers in response to policy designs and climate change. Pesticides considered in this study include insecticides, pheromone dispensers (as an alternative to insecticides), fungicides (both the synthetic type and copper-sulphur based). Inter-row management concerns the arrangement of vegetation in the inter-rows and the type of vegetation. Users can simulate potential impacts of policies for a generic European viticultural region, for Leithaberg in Austria, Tarnave in Romania or Palatinate in Germany.
DOI: 10.17026/dans-x7m-6222
title: Side-Channel Based Intrusion Detection for Industrial Control Systems: Python MATLAB source code for EM side-channel analysis graphing

description: Python MATLAB source code to capture traces generate the results used in Side-Channel Based Intrusion Detection for Industrial Control Systems (doi:10.1007/978-3-319-99843-5_19) and Security and Privacy in the Smart Grid (PhD Thesis, ISBN 978-94-6473-209-2).Industrial Control Systems are under increased scrutiny. Their security is historically sub-par, and although measures are being taken by the manufacturers to remedy this, the large installed base of legacy systems cannot easily be updated with state-of-the-art security measures. In these publications we use a technique from cryptographic side-channel analysis, multivariate templating, to detect anomalous behaviour in Programmable Logic Controllers. Our solution uses side-channel measurements of the electromagnetic emissions of an industrial control system to detect behavioural changes of the software running on them. To demonstrate the feasibility of this method, we show it is possible to profile and distinguish between even small changes in programs on Siemens S7-317 PLCs, using methods from cryptographic side-channel analysis.The code consists of python source files for capturing electromagnetic traces,and python MATLAB source files for analysing the resulting dataset.The raw EM traces used to obtain the results in the aforementioned publications are currently available as a separate dataset at doi:10.17026/dans-ztf-vrz9.
DOI: 10.17026/dans-x9t-nkbz
title: Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements

description: This research estimated the uncertainty in gross primary production (GPP) at half hourly time steps, using a non-rectangular hyperbola (NRH) model for its separation from the flux tower measurements of net ecosystem exchange (NEE) at the Speulderbos forest site, The Netherlands. This provided relevant data for the calibration and validation of process-based simulators.
DOI: 10.17026/dans-z8b-s53t
title: Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production

description: This research conducted variance-based sensitivity analysis (VBSA) of the process-based simulator BIOME-BGC for gross and net primary production (GPP and NPP) output in a Douglas-fir stand at the Speulderbos forest site, The Netherlands. Such an analysis allowed identification of the most influential input parameters of BIOME-BGC and provided insight into the simulator function.
DOI: 10.17026/dans-xf9-8wgd
title: Mapping cropping patterns in irrigated rice fields in West Java: Towards mapping vulnerability to flooding using time-series MODIS imageries

description: This study proposes a method to determine the vulnerability to flooding using the EVI derived from MODIS imageries. Rice spatial distribution and phenology metrics are derived from EVI. Rice cropping patterns are generated from the spatial distribution and phenology metrics. Combined with vulnerability curves, cropping patterns can be used for estimating the vulnerability to flooding.
DOI: 10.17026/dans-z55-6gt4
title: UAVPal

description: A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene understanding in the context of the Indian subcontinent. The dataset contains 529 image tiles of size 2048x2048. The spatial resolution of the imagery is 2 cm. Along with the RGB imagery, corresponding digital surface models generated from dense matching and manually annotated labels with five classes are also available.
DOI: 10.17026/dans-x5z-zfq2
title: Simultaneous production decisions in agricultural contexts

description: Farmers often decide simultaneously on crop production or input use without knowing other farmers’ decisions. Anticipating the behavior of other farmers can increase financial performance. This paper investigates the role of other famers’ behaviors and other contextual factors in farmers’ simultaneous production decisions.Market entry games are a common method for investigating simultaneous production decisions. However, so far they have been conducted with abstract tasks and by untrained subjects. We extend market entry games by using three real contexts, pesticide use, animal welfare, and wheat production, in an incentivized framed field experiment with 323 German farmers.We find that farmers take different decision under identical incentive structures for the three contexts. While context plays a major role in their decisions, their expectations about the behavior of other farmers have little influence on their decision.
DOI: 10.17026/dans-zwz-mb93
title: High-Resolution Drought Data for India - Villages with no Irrigation

description: This geo-database consists of a 0.05 degree (5 x 5 km) SPEI (Standardised Precipitation-Evapotranspiration Index) that was calculated using CHIRPS precipitation data and resampled GLEAM data. We use the Priestley-Taylor equation to estimate potential evapotranspiration (PET), taking additional variables into account relevant for the Indian context.We merge the SPEI database with all Indian villages that show very little irrigation coverage over agricultural lands, and villages where we see a strong outflow out of agrarian work among males. The Indian censuses of 2001 and 2011 are used to include this information.The data is provided as a Shapefile, and can be opened with open-source geospatial software such as QGIS.The dataset also includes the original tabular data in Comma Separated Values (.csv) format.
DOI: 10.17026/dans-zan-fjsg
title: Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data

description: Visible near-infrared imaging spectroscopy is capable of assessing spectral Soil constituents that are responsible for the organo-mineral interactions. In this study, we hypothesized that the alterations of the surfaceSoil mineralogy occur due to the moisture variations. For eight weeks, under laboratory conditions, imaging spectroscopy data were collected on a 72 h basis for three SiltyLoamsoils varying in the organic matter (no, low and high) placed at the drying-field capacity, field capacity and waterlogging-field capacity treatments.
DOI: 10.17026/dans-xr3-ucem
title: Understanding the Significance of Median Research Teams in Idea Flow within a Community

description: The dataset contains 9 citations graphs obtained from the Web of Science. 3 graphs were generated for each of 3 research areas, including SWF (Switched-capacitor Filters), NLP (Natural Language Processing), and RTT (Real-Time Tracking).The study analyzes two facets: the contribution ofdifferent types of groups on the impact research ideas make on other groups, and the importance groups have in linking sets of groups with each other.
DOI: 10.17026/dans-zvj-4mtx
title: Dam deformation forecasting using SVM-DEGWO algorithm based on phase space reconstruction

description: The minimal anonymized data set necessary to replicate these study findings
DOI: 10.17026/dans-x7c-atbt
title: Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland surface water dynamics

description: This dataset provides 8-day time series of surface water extent (km2) from 2000 to 2017 for 340 Mediterranean wetlands, based on a previously developed 8-day 500 m MODIS surface water fraction dataset.
DOI: 10.17026/dans-zhm-bysn
title: Water Distribution Infrastructure Model

description: This data includes the source code for a simulation model of urban water distribution infrastructure system developed to integrate the institutional agencies’ renewal decision-making processes with physical components in order to simulate the transformations and capture the dynamics of water distribution infrastructure under external stressors such as population change and funding fluctuations. Using the developed simulation model, various experiments can be designed to measure the long-term resilience based on the visual detection of regime shifts and identification of the threshold values (i.e., tipping points) associated with infrastructure performance regimes.