cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-28z-6deh
title: Datasets for semi-automated Rasch analysis with DIF

description: This project extends the semi-automated method for obtaining a valid and reliable instrument using the Rasch model as a basis. We aim to incorporate the differential item functioning (DIF) assessment into the procedure. For the implementation, we parameterize DIF effect sizes for each item and consider DIF items as split items based on the DIF-inducing covariates (test participants' background information). This implementation leads to a new criterion called in-plus-out-of-questionnaire log likelihood with differential item functioning (IPOQ-LL-DIF). The datasets presented here are used in empirical studies. The simulated datasets are generated randomly and independently to illustrate the characteristics of the semi-automated method. Using real-world datasets, we show that semi-automated and manual Rasch methods produce comparable results. These real-world datasets consist of preprocessed versions of three publicly available datasets that can be found in the publications' supplementary data of Brett Vaughan , Brett Vaughan , and Rosalba Rosato et al. .
DOI: 10.17026/dans-zef-cwsa
title: Football match outcomes; FIFA Confederations Cups and World Cup tournaments

description: Data used for the paper entitled "Home advantage for tournament victory: Empirical evidence from FIFA Confederations and World Cups"
DOI: 10.17026/dans-z53-fnwj
title: ehealth ecosystem value proposition identification questionnaire

description: Two surveys were sent out, within and outside of a large European research consortium, to investigate preference for value propositions of eHealth ecosystems. Different value propositions were presented (10 in the internal and 12 in the external survey) and rated by the participants on their feasibility and importance. Some demographics, mainly concerning the participants work environment, were collected to allow analysis on differences between certain industry types.
DOI: 10.6084/m9.figshare.22189198.v4
title: inSPIRE-External-Utilities

description: External Utilities used by inSPIRE.
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Note this includes script from the open source fragpipe tool. Source of this script https://github.com/Nesvilab/FragPipe
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DOI: 10.17026/dans-zp2-bvxz
title: Elements in liver of cows

description: Trend analysis of elements in liver of cows, depending on age and year
DOI: 10.17026/dans-xk3-aedz
title: A global assessment of PT-JPL soil evaporation in agroecosystems with optical, thermal, and microwave satellite data

description: Evapotranspiration (ET) accounts for water movements from land to air and plays a vital role in the terrestrial water, energy, and carbon cycles. Reliable estimates of ET for agricultural landscapes can facilitate water resources management and food security analysis. The widely used Priestley-Taylor Jet Propulsion Laboratory (PT-JPL)model has the most potential to operationally simulate ET over large areas, but its inability to fully track soil evaporation dynamics using atmospheric humidity limits its application in agroecosystems. In this study, we isolated the uncertainties resulting from soil evaporation and assessed three Earth observation-based alternatives- apparent thermal inertia (ATI), microwave soil moisture (SM), and optical spectral indices based on shortwave infrared (SWIR) to formulate soil evaporation. Our results illustrate that the incorporation of the SWIR-based soil moisture divergence index (SMDI) and microwave-based SM into monthly soil evaporation led to 6% and 5% increase in explained ET variances and reduced RMSE by 23.2% and 13.1% for cropland and grassland, respectively, as compared to PT-JPL using atmospheric reanalysis data only. Further analyses demonstrated that PT-SMDI explained more observed ET variances than PT-JPL using in-situ measurements of atmospheric humidity during the crop growing season, particularly for irrigated cropland (R2=0.65 for PT-SMDI; R2=0.62 for PT-JPL). On the other hand, the use of microwave SM outperformed other indices for ET assessment in grasslandsbut had lower performance in croplands. Our results suggest that a combination of optical SWIR and microwave SM has good potential to improve the PT-JPL model accuracy for agricultural landscapes.
DOI: 10.17026/dans-xdp-3qhj
title: Combining text and vision in compound semantics: Towards a cognitively plausible multimodal model

description: In the current state-of-the art distributionalsemantics model of the meaning of noun-noun compounds (such aschainsaw, but-terfly, home phone),CAOSS(Marelli et al.2017), the semantic vectors of the individ-ual constituents are combined, and enrichedby position-specific information for each con-stituent in its role as either modifier or head. Most recently there have been attempts to in-clude vision-based embeddings in these mod-els (G ̈unther et al., 2020b), using the linear ar-chitecture implemented in theCAOSSmodel.In the present paper, we extend this line ofresearch and demonstrate that moving to non-linear models improves the results for visionwhile linear models are a good choice for text.Simply concatenating text and vision vectorsdoes not currently (yet) improve the predictionof human behavioral data over models usingtext- and vision-based measures separately.
DOI: 10.17026/dans-x6c-y7x2
title: Landslide inventory of the 2018 monsoon rainfall in Kerala, India

description: The state of Kerala in India was impacted by an extreme rainfall event in the Monsoon season of 2018, which triggered extensive floods, and landslides resulting in many casualties. In order to study whether the landslides that were triggered during this event were related with recent land use changes, we generated an accurate and almost complete landslide inventory based on two existing datasets (from the National Remote Sensing Center, and the Geological Survey of India) and detailed interpretation of images from different periods in the Google Earth platform. The final dataset contains 4728 landslides with attributes of district, data source, landslide type, landslide area, land use in 2010, and land use in 2018, etc. The dataset and accompanying metadata are related to several publications in international journals.
DOI: 10.17026/dans-zc9-ackh
title: Agrarian employment structures in West Bengal and Bihar, GIS

description: This is an ArcMap shapefile that includes the exact spatial boundaries of all 90,000 agrarian settlements in Bihar and West Bengal, India. The file includes a unique settlement code that corresponds to the settlement codes that are at the basis of the Indian census of 2011. This makes it possible to analyse a wide range of socio-economic conditions across all settlements.
DOI: 10.17026/dans-z23-meve
title: CLIMATE ADAPTATION SERVICES: INTEGRATING LAND INFORMATION TO SUPPORT MOUNTAIN COMMUNITIES

description: 12% of the world’s population are the mountain people. They live on land and use it to farm, raise livestock and provide shelter for their families. Many of them do not have access to land and climate information that would help them to manage their land and resources sustainably. It is often the case that they are not able to settle their livelihood in secured, safe and healthy places. Currently, Land Administration System (LAS) as a potential tool deals with issues of land tenure security by registering land rights, land value stimulating land markets, and land use for land development activities. Knowledge, concepts, and tools are still required on how LAS deals with the land tenure security in the combination of land rights relating to the carbon footprints in the mountain areas for adaptation to climate change, so that mountain people are resilient to climate change, and located in appropriate shelters for sustainable living. All levels of institutions are required to have improved spatial information. Therefore, it is essential to understand the exact needs and services of the stakeholders at the different levels of the SDI hierarchy and scale. It is also needed to have an interoperable environment for better access and use of various geo-data concerning topography, land tenure, the environment including climate change prediction and socio-economic data. Since the role of Information System (IS) is highly critical to facilitate positive societal effects, and experiences are available on developing and using IS from technological perspectives, this research aims at developing an integrated IS to contribute to adaptation to climate change to support the mountain communities. The goal is to develop a Mountain Community Adaptation System using Geo-ICT.
DOI: 10.17026/dans-z6p-7ane
title: Data underlying the publication: Photosynthesis and leaf traits of maize in intercropping

description: The data set concludes grain yield, plant height, light distribution, and leaf traits, which are associated with the publication entitled Photosynthesis and leaf traits of maize in intercropping.
DOI: 10.17026/dans-zqu-288n
title: Data used in paper: Analysis of synergies and trade-offs between animal welfare, ammonia emission, particulate matter emission and antibiotic use in Dutch broiler production systems

description: In this project, an approach was developed to analyse synergies and trade-offs between external factors in Dutch broiler production systems.
DOI: 10.17026/dans-x93-36wy
title: Egg_production_database1

description: Egg production database for Thai native chicken
DOI: 10.17026/dans-234-e26p
title: Data set for -Sensitivity of Canopy Phenology to Local Urban Environmental Characteristics in a Tropical City

description: This data set is linked to the article title "Sensitivity of Canopy Phenology to Local Urban Environmental Characteristics in a Tropical City" that was published in ecosystems (https://doi.org/10.1007/s10021-020-00571-y).The data set contains two work sheets: (1) Time series for individual tree; (2) TPCC and NLL.Work sheet 1 ( Time series for individual tree) corresponds to the temporal changes of canopy cover of individual trees in 2017 whereas Worksheet 2 (TPCC and NLL) contains data for total percentage canopy cover (TPCC) and net leaf loss for individual trees and associated urban climate and land cover at the tree locations.
DOI: 10.17026/dans-xk6-gbza
title: UAV-based remote sensing data from the Chernobyl Exclusion Zone (2017 and 2018)

description: The zip archive contains two folders:- "MS_data" contains three orthomosaics generated from surveys using a drone-based multispectral camera (Micasense Rededge) in April 2018. The tiff files comprise five spectral channels (Blue, Green, Red, Rededge, NIR) with a ground resolution of 10 cm.- "YS_data" contains 15 ULS (= unmanned laserscanner) datasets from drone flights using a YellowScan Mapper I laserscanner in November 2017 and April 2018. Each dataset comprises four files (*.ahrs, *.gps, *.idc, and *.sbf). The point density is approximately 50 points per m?.
DOI: 10.17026/dans-x9g-czff
title: The divergence of energy- and water-balance evapotranspiration estimates in humid catchments

description: DATA used in our study
DOI: 10.17026/dans-xks-jsgj
title: Leaf area index field measurements

description: Leaf area index (LAI) measurements were collected on two meadows and five cultivated fields. The LAI field measurements were used as references for the validation of Sentinel-2 LAI estimates in the study 'Sentinel-1 soil moisture content retrieval over meadows using a physical scattering model', of which the manuscript is in preparation.
DOI: 10.17026/dans-xrn-zfxu
title: Data underlying the research paper: The acclimation of leaf photosynthesis of maize to growth environment in intercropping

description: The data set concludes leaf photosynthetic parameters and leaf traits of maize in different intercropping treatments and in pure stands, and at two maize growth stages: V10 and R4.
DOI: 10.17026/dans-27p-epm2
title: Entomopathogenic fungi characterization data

description: raw data for entomopathogenic fungi characterization
DOI: 10.17026/dans-274-u64j
title: Elandsberg scintillometer data

description: Skukuza (2001-2014) and Welgegund (2010-2014) eddy covariance flux, and Elandsberg large aperture scintillometer (2012-2013) data used for validating remote sensing-based evapotranspiration estimations. The Skukuza data is available at https://fluxnet.fluxdata.org/ as Tier 2 dataset.
DOI: 10.17026/dans-xbm-qr5e
title: Words Algorithm Collection : finding closely related open access books using text mining techniques

description: Open access platforms and retail websites have one thing in common: they are trying to present the most relevant offerings possible to their patrons. Retail websites – such as Amazon.com – de-ploy recommender systems based on data collected about their customers. These systems im-prove with the amount of data available: the more is known about the customers, the better it can predict what other merchandise will appeal.Recommender systems are successful, but using open access platforms to track people is not ac-ceptable. Therefore, a different solution is needed. Compared to retail websites, open access plat-forms have an unique advantage: they are able to use the complete contents of the publications they host. So, the question arises if it is possible to create a recommender system based on the contents of freely available documents, instead of personal data.The solution described in this paper is based on standard open source software. It is built using a combination of DSpace 6 and the R programming language. The open access platform – based on DSpace 6 – is the OAPEN Library; the data set used consists of nearly 11,000 open access books and chapters. The OAPEN Library enables data extraction through an API (application programming in-terface). A text mining algorithm written in the R programming language uses the full text of the publications and filters out the most common combinations of three words (trigrams). The next step is finding the publications that have one of more trigrams in common. The more trigrams two books or chapters share, the more closer they are 'connected'. This allows us not just to find relat-ed titles for each publication, but also to quantify how closely they are connected.
DOI: 10.17026/dans-2cq-x9gw
title: p2p simulation with redundant data

description: We propose a method to accelerate a response of structured overlay networks by reducing the number of hops required to answer multiqueries. In the proposed method, by copying data items to the redundant storage spaces in other storages, a good data placement reflecting co-occurrence structures in the structured overlay network is achieved. Through several simulations, it is confirmed that the proposed method can reduce the average number of hops required to answer multi-queries. The simulator code and the results are contained this dataset.
DOI: 10.17026/dans-zeq-tkxp
title: Dataset TPACK MIS

description: This dataset is collected after using a proposed mobile interactive system (MIS) developed. The MIS is tailored for online classes with the introduction of two major features: Synchronous Display (SD) and Whiteboard-like Freehand Writing (WFW) features. This study is aimed for enhancing teachers’ proficiency of in Technological Pedagogical and Content Knowledge (TPACK) in the virtual classroom.
DOI: 10.17026/dans-zsr-gpqn
title: Severity assessment of roadside tree accidents based on occupant injuries analysis

description: To achieve the quantitative assessment of roadside tree accident severity on highways, corresponding safety measures were proposed to reduce accident losses.
DOI: 10.17026/dans-xxt-tqcr
title: Potential of multi-temporal SENTINEL-1A dual polarization SAR images for vegetable classification in Indonesia

description: As part of the G4AW SMARTSeeds project, this study aims to investigate the potential of dense time series of Sentinel- 1A dual polarization data for the classification of vegetables that are common in East Java, Indonesia. We first analyzed the temporal behavior of three main types of vegetables (i.e. chili, tomato and cucumber) in terms of backscatter (VH and VV) intensity, and of polarimetric features (i.e. entropy, al- pha and anisotropy) derived from polarization decomposition. We then applied a support vector machine with an intersection kernel to the time series data of vegetable samples collected in field. Our results showed that dense time series Sentinel-1A images are of high potential for vegetable classification. Be- sides using backscatter intensity, the polarimetric information can further improve the discrimination between three specific vegetable types.
DOI: 10.17026/dans-2zc-fjjd
title: green space landscape data

description: The data of paper : '''Analysis of Spatial Differentiation and Air Quality Impact of Green Space Landscape in the Main Urban Area of Xi'an, China'.
DOI: 10.17026/dans-xaa-ehxx
title: Pre- and Post-Test for Knowledge Checking Apr-Jul 2021

description: This dataset is collected for a pre and post-test of using a proposed mobile interactive system (MIS) developed. The MIS is tailored for online classes with the introduction of two major features: Synchronous Display (SD) and Whiteboard-like Freehand Writing (WFW) features.
DOI: 10.17026/dans-xen-4eba
title: Data and code for DiDo

description: Supporting Information files for paper ”Data-informed Deep Optimization“， including code and data
DOI: 10.17026/dans-xzf-84qf
title: Benchmark calculations for electron velocity distribution function obtained with Monte Carlo Flux simulations

description: The dataset includes all the input and output files for the paper: Benchmark calculations for electron velocity distribution function obtained with Monte Carlo Flux simulations. The format of the files are .txt or .dat. Figures in .tif format are also provided, together with the preprint of the paper.
DOI: 10.17026/dans-zt2-jzbe
title: Code to count monomials of several rounds of Pyjamask

description: The result ons the number of monomials are obtained by running the code.Abstract from [Dobraunig, C., Rotella, Y., & Schoone, J. (2020). Algebraic and Higher-Order Differential Cryptanalysis of Pyjamask-96. IACR Transactions on Symmetric Cryptology, 2020(1), 289-312. DOI: https://doi.org/10.13154/tosc.v2020.i1.289-312]Cryptographic competitions, like the ongoing NIST call for lightweight cryptography, always provide a thriving research environment, where new interesting ideas are proposed and new cryptographic insights are made.One proposal for this NIST call that is accepted for the second round is Pyjamask.Pyjamask is an authenticated encryption scheme that builds upon two block ciphers, Pyjamask-96 and Pyjamask-128, that aim to minimize the number of AND operations at the cost of a very strong linear layer.A side-effect of this goal is a slow growth in the algebraic degree.In this paper, we focus on the block cipher Pyjamask-96 and are able to provide a theoretical key-recovery attack reaching 14 (out of 14) rounds as well as a practical attack on 8 rounds.We do this by combining higher-order differentials with an in-depth analysis of the system of equations gotten for 2.5 rounds of Pyjamask-96.The AEAD-scheme Pyjamask itself is not threatened by the work in this paper.In order to obtain the theoretical results for the key-recovery attack on 14 rounds, we needed to compute the number of monomials that would be present in the aforementioned system of equations.The deposited code is specifically written with this cipher and goal in mind.It is therefore usable to recheck the results indicated in Section 6.3 of the paper.Furthermore, one can adapt the code to compute the number of monomials present is a similar system of equations for a different cipher.
DOI: 10.17026/dans-xy5-n8c8
title: PONE-D-19-30554 Data Set

description: Minimal Data Set for manuscript PONE-D-19-30554 in PLOS ONE
DOI: 10.17026/dans-zmr-vwg9
title: Railway infrastructure classification and instability identification-sentinel-1 and Lidar

description: This is the data archive for Chang, L., Sakpal, N., Oude Elberink, S. J., & Wang, H. (2020). Railway Infrastructure Classification and Instability Identification Using Sentinel-1 SAR and Laser Scanning Data.Sensors (Switzerland), 20(24), 1-16. [7108]. https://doi.org/10.3390/s20247108 - Open AccessSatellite radar interferometry (InSAR) techniques have been successfully applied for structural health monitoring of line-infrastructure such as railway. Limited by meter-level spatial resolution of Sentinel-1 satellite radar (SAR) imagery and meter-level geolocation precision, it is still challenging to (1) categorize radar scatterers (e.g., persistent scatterers (PS)) and associate radar scatterers with actual objects along railways, and (2) identify unstable railway segments using InSAR Line of Sight (LOS) deformation time series from a single viewing geometry. In response to this, (1) we assess and improve the 3-D geolocation quality of Sentinel-1 derived PS using a 2-step method for PS 3-D geolocation improvement aided by laser scanning data; after geolocation improvement, we step-wisely classify railway infrastructure into rails, embankments and surroundings; (2) we recognize unstable rail segments by utilizing the (localized) differential settlement of rails in the normal direction (near vertical) which is yielded from the LOS deformation decomposition. We tested and evaluated the methods using 170 Sentinel-1a/b ascending data acquired between January 2017 and December 2019, over the Betuwe freight train track, in the Netherlands. The results show that 98% PS were associated with real objects with a significance level of 25%, the PS settlement measurements were generally in line with the in-situ track survey Rail Infrastructure aLignment Acquisition (RILA) measurements, and the standard deviations of the PS settlement measurements varied slightly with an average value of 6.16 mm