cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-zew-rze3
title: A miniaturized Endocardial Electromagnetic Energy Harvester for Leadless Cardiac Pacemakers

description: Life expectancy of contemporary cardiac pacemakers is limited due to the use of an internal primary battery. Repeated device replacement interventions are necessary, which leads to an elevated risk for patients and an increase of health care costs. The aim of our study is to investigate the feasibility of powering an endocardial pacemaker by converting a minimal amount of the heart’s kinetic energy into electric energy.The intrinsic cardiac muscle activity makes it an ideal candidate as continuous source of energy for endocardial pacemakers. For this reason, we developed a prototype able to generate enough power to supply a pacing circuit under different orientations and heart rate. The prototype consists of a mass imbalance that drives an electromagnetic generator while oscillating. We developed a mathematical model to estimate the amount of energy harvested from inside a heart chamber. Finally, the implemented prototype was successfully tested during in-vitro and in-vivo experiments.Life expectancy of contemporary cardiac pacemakers is limited due to the use of an internal primary battery. Repeated device replacement interventions are necessary, which leads to an elevated risk for patients and an increase of health care costs. The aim of our study is to investigate the feasibility of powering an endocardial pacemaker by converting a minimal amount of the heart’s kinetic energy into electric energy. The intrinsic cardiac muscle activity makes it an ideal candidate as continuous source of energy for endocardial pacemakers. For this reason, we developed a prototype able to generate enough power to supply a pacing circuit under different orientations and heart rate. The prototype consists of a mass imbalance that drives an electromagnetic generator while oscillating. We developed a mathematical model to estimate the amount of energy harvested from inside a heart chamber. Finally, the implemented prototype was successfully tested during in-vitro and in-vivo experiments.
DOI: 10.17026/dans-zac-787c
title: Kadaster Knowledge Graph

description: This is the first open government knowledge graph in the Netherlands. Based on the developed demonstrators, we elaborate on the value of having such a graph and demonstrate its use in the context of improved data browsing, multicriteria analysis for urban planning, and the development of location-aware chatbots.
DOI: 10.17026/dans-zcf-j46d
title: Production of volatile fatty acids from sewage organic matter by combined bioflocculation and alkaline fermentation

description: This study explored the potential of volatile fatty acids (VFA) production from sewage by a combined high-loaded membrane bioreactor and sequencing batch fermenter. VFA production was optimized with respect to SRT and alkaline pH (pH 8–10). Application of pH shock to a value of 9 at the start of a sequencing batch cycle, followed by a pH uncontrolled phase for 7 days, gave the highest VFA yield of 440 mg VFA-COD/g VSS. This yield was much higher than at fermentation without pH control or at a constant pH between 8 and 10. The high yield in the pH 9 shocked system could be explained by (1) a reduction of methanogenic activity, or (2) a high degree of solids degradation or (3) an enhanced protein hydrolysis and fermentation. VFA production can be further optimized by fine-tuning pH level and longer operation, possibly allowing enrichment of alkalophilic and alkali-tolerant fermenting microorganisms.
DOI: 10.6084/m9.figshare.22658662
title: Supplementary Material for: Retracted Paper - Mazabraud syndrome associated with McCune-Albright syndrome: a case report and literature review

description: The Mazabraud syndrome is a rare form of bone fibrous dysplasia associated with intramuscular myxomas. The McCune-Albright syndrome is characterized by the association of dysplasia fibrous bone to one or more extra-osseous manifestations, including café-au-lait skin spots and endocrine disturbances. Here, we report on a new case of a 52-year-old man with sacroiliac polyostic bone fibrous dysplasia associated with intramuscular myxomas of the left buttock and thigh and café-au-lait skin spot. Biopsy analysis of one muscular lesions on the left thigh analysis revealed a spindle cell tumor with myxoid stroma with GNAS gene mutation, confirming the diagnosis of intramuscular myxoma. Given the absence of radiological sign of malignancy at the bone level and a few pains relieved by simple analgesics, no specific treatment was applied. In March 2022, after 18 months of follow-up, the MRI and the PET-CT scan showed a stable disease. To our knowledge this case is the fourth one reporting association of Mazabraud syndrome and McCune-Albright syndrome in a man. The association of intramuscular tumors and bone tumors in the same anatomical region and without any continuity, especially in lower limbs, must evoke the diagnosis of Mazabraud syndrome.
DOI: 10.6084/m9.figshare.22658662.v3
title: Supplementary Material for: Retracted Paper - Mazabraud syndrome associated with McCune-Albright syndrome: a case report and literature review

description: The Mazabraud syndrome is a rare form of bone fibrous dysplasia associated with intramuscular myxomas. The McCune-Albright syndrome is characterized by the association of dysplasia fibrous bone to one or more extra-osseous manifestations, including café-au-lait skin spots and endocrine disturbances. Here, we report on a new case of a 52-year-old man with sacroiliac polyostic bone fibrous dysplasia associated with intramuscular myxomas of the left buttock and thigh and café-au-lait skin spot. Biopsy analysis of one muscular lesions on the left thigh analysis revealed a spindle cell tumor with myxoid stroma with GNAS gene mutation, confirming the diagnosis of intramuscular myxoma. Given the absence of radiological sign of malignancy at the bone level and a few pains relieved by simple analgesics, no specific treatment was applied. In March 2022, after 18 months of follow-up, the MRI and the PET-CT scan showed a stable disease. To our knowledge this case is the fourth one reporting association of Mazabraud syndrome and McCune-Albright syndrome in a man. The association of intramuscular tumors and bone tumors in the same anatomical region and without any continuity, especially in lower limbs, must evoke the diagnosis of Mazabraud syndrome.
DOI: 10.17026/dans-xa9-fkx2
title: Appendix PhD Thesis Guillaume Rohat 2020: Disentangling the contribution of socioeconomic pathways to future climate-related risks

description: This dataset contains all supplementary data to the PhD thesis of Guillaume Rohat of the University of Twente entitled: Disentangling the contribution of socioeconomic pathways to future climate-related risks. The thesis was accepted and approved by the UT and the University of Geneva as a PhD thesis on 10 March 2020. All tables and figurs in this Apendix are refereced in the thesis.
DOI: 10.6084/m9.figshare.22658662.v2
title: Supplementary Material for: Mazabraud syndrome associated with McCune-Albright syndrome: a case report and literature review

description: The Mazabraud syndrome is a rare form of bone fibrous dysplasia associated with intramuscular myxomas. The McCune-Albright syndrome is characterized by the association of dysplasia fibrous bone to one or more extra-osseous manifestations, including café-au-lait skin spots and endocrine disturbances. Here, we report on a new case of a 52-year-old man with sacroiliac polyostic bone fibrous dysplasia associated with intramuscular myxomas of the left buttock and thigh and café-au-lait skin spot. Biopsy analysis of one muscular lesions on the left thigh analysis revealed a spindle cell tumor with myxoid stroma with GNAS gene mutation, confirming the diagnosis of intramuscular myxoma. Given the absence of radiological sign of malignancy at the bone level and a few pains relieved by simple analgesics, no specific treatment was applied. In March 2022, after 18 months of follow-up, the MRI and the PET-CT scan showed a stable disease. To our knowledge this case is the fourth one reporting association of Mazabraud syndrome and McCune-Albright syndrome in a man. The association of intramuscular tumors and bone tumors in the same anatomical region and without any continuity, especially in lower limbs, must evoke the diagnosis of Mazabraud syndrome.
DOI: 10.17026/dans-zkt-t8xx
title: Source code and data relevant for the paper 'Learning-Based Testing the Sliding Window Behavior of TCP Implementations'

description: The dataset contains source code and data relevant for the paper "Learning-Based Testing the Sliding Window Behavior of TCP Implementations".Paper url: https://link.springer.com/chapter/10.1007/978-3-319-67113-0_12In this work, we use automata learning for register automata to infer models of TCP client implementations of Linux and FreeBSD. We then manually check the models for conformance to the RFC specifications. For the case study, we extended the register automata learner RALib so as to support data relations exhibited by TCP stacks (inequality over sums with constants). Note thatthis extension is mainly experimental.The dataset comprises the software components of our experimental setup apart from the actual implementations.In more concrete terms, the dataset contains:- the learner implementation - an implementation of the Java built RALib learning tool with the extensions this case study required, see https://bitbucket.org/learnlib/ralib/src/3812a20ae83b06436ad5fd74f1f5a57dc57b77bd?at=succ-expr- results - learned register automata models for TCP clients- experimental data - folders containing data about the experiments which lead to the learned modelNot included here is the framework used to learn TCP. This is the same as for the paper "Combining Model Learning and Model Checking to Analyze TCP Implementations", theonly difference is that we use a different learner. The framework is available at:https://gitlab.science.ru.nl/pfiteraubrostean/tcp-learner/tree/cav-aecWhat can be re-used:- the learner setup or RALib (to learn systems similar to TCP)- the learned models (if one wants to do something with the learned models)Also, the dataset is suitable for one who wants to try out/ extend learning for register automata.Paper Abstract: We develop a learning-based testing framework for register automaton models that can express the windowing behavior of TCP, thereby presenting the first significant application of register automata learning to realistic software for a class of automata with Boolean-arithmetic constraints over data values. We have applied our framework to TCP implementations belonging to different operating systems and have found a violation of the TCP specification in Linux and Windows. The violation has been confirmed by Linux developers.
DOI: 10.17026/dans-xjc-a2pp
title: Dataset belonging to "Inland navigation contributes to the remobilization of land-based plastics into riverine systems"

description: The dataset belonging to the publication titled: "Inland navigation contributes to the remobilization of land-based plastics into riverine systems".
DOI: 10.17026/dans-x4g-v9ak
title: Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2

description: Data Deposit for the paper with the title "Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2"1. PhenoMaps_Kapiti_March2017_March2019_PS_MODIS_S2 --&gt; Contains all the phenology maps from Sentinel-2, PlanetScope and MODIS imagery2. timeseries_Kapiti_March2017_March2019_camera_PS_MODIS_S2 --&gt; Contains the time series of GCC from camera photography and NDVI from satellite imagery
DOI: 10.17026/dans-xka-ca2a
title: Eddy covariance and meorological data over Upper Biebrza National Park Wetland

description: Half-hourly data for the period 2015 (March 5st-July22th), 2016 (March 5st- August 22nd)-Latent heat flux-Sensible Het Flux-Ground heat FLux-Air Temperature-Wind speedFriction velocity-Relative humidity-Incoming short wave radiation-Incoming longwave radiation-Outgoing shortwave radiation-Outgoing shortwave radiation-Net radiation-Soil moisture-Precipitation
DOI: 10.17026/dans-27r-hphp
title: TOP250Raster, digitaal topografisch bestand - versie 2010

description: Voor analyses of applicatie-ontwikkeling in GIS, CAD en Desktop Mapping waarbij het niet nodig is om wijzigingen in het kaartbeeld aan te brengen, maar waarbij de kaart als ondergrond en referentie functioneert, zijn rasterbestanden een goed alternatief. De TOPraster-producten bieden hiervoor de ideale oplossing. Deze bestanden worden softwarematig afgeleid uit de vectorbestanden. Dit proces wordt raster-uit-vector conversie genoemd. Het scannen van kaarten is hierbij verleden tijd. TOP250raster is afgeleid van de Wegenkaart van Nederland, schaal 1:250.000. Deze bestanden worden softwarematig gegenereerd uit de vectorbestanden. Geschikt voor minder gedetailleerde toepassingen, maar ook als index voor TOP25raster en TOP50raster.Evenals de topografische kaartseries zijn de TOPrasterbestanden georiënteerd in het Rijksdriehoekstelsel en leverbaar van geheel Nederland. De kaartbladindeling van TOPraster is identiek aan die van de kaartserie.DANS en het Kadaster werken samen met betrekking tot het duurzaam archiveren en beschikbaar stellen van topografische en kadastrale kaarten. Iedereen mag deze data gebruiken.Het betreft de volgende topografische bestanden: TOP50Vector, TOP250Raster, TOP50Raster, TOP25Raster, de Kadastrale Kaart, TOP10NL, TOP50Vector, TOP50NL, en TOP10Vector.Zie ook het overzicht van de Kadasterbestanden die via DANS beschikbaar zijn.De meest actuele versies van de Kadasterbestanden kunnen direct gedownload worden via de website van Publieke Dienstverlening op de Kaart – PDOK.In het informatieblad vindt u meer informatie over toegang tot de TOP-kaart.
DOI: 10.17026/dans-zd8-qax5
title: Participatory Policy Analysis for Climate Change Adaptation

description: This PhD thesis is on developing participatory methods to support policy making for a farming community facing water scarcity in Iran. Fuzzy Cognitive Mapping (FCM) and Agent-Based modelling (ABM) have been used as the main methods in this study. The data-set includes 1) the FCMs matrices for 40 policy makers, 20 small farmers, 20 medium farmers and 20 large farmers (with no name and personal data), 2) the FCMapper output for farmers and policymakers, 3) NetLogo code for ABM, and 4) Overview, Design and Detail (ODD) document that describes the ABM and NetLogo code.
DOI: 10.17026/dans-z5q-df6t
title: Volatile fatty acids production from sewage organic matter by combined bioflocculation and anaerobic fermentation

description: This work aims at exploring the feasibility of a combined process bioflocculation to concentrate sewage organic matter and anaerobic fermentation to produce volatile fatty acids (VFA). Bioflocculation, using a high-loaded aerobic membrane bioreactor (HL-MBR), was operated at an HRT of 1 h and an SRT of 1 day. The HL-MBR process removed on average 83% of sewage COD, while only 10% of nitrogen and phosphorus was removed. During anaerobic fermentation of HL-MBR concentrate at an SRT of 5 days and 35 °C, specific VFA production rate of 282 mg VFA-COD/g VSS could be reached and consisted of 50% acetate, 40% propionate and 10% butyrate. More than 75% of sewage COD was diverted to the concentrate, but only 15% sewage COD was recovered as VFA, due to incomplete VSS degradation at the short treatment time applied. This shows that combined process for the VFA production is technologically feasible and needs further optimization.
DOI: 10.17026/dans-2az-62te
title: Zambezi@Kabompo

description: Zambezi basin PhD data for Webster Gumindoga
DOI: 10.17026/dans-2bs-7dxw
title: Indicators for selected (inter)national policies

description: This list contains indicators of a selection of (inter)national policies, as well as remote sensing enabled products and their variables.
DOI: 10.17026/dans-zq4-p7dz
title: Underwater Macroplastic Detection Using Imaging Sonars

description: Abstract:Plastic pollution in the ocean occurs mainly via riverine transport. In rivers, plastic is pervasive in sediments and in the water column. Monitoring of floating plastics in rivers is time consuming as it is usually collected using nets and classified by hand, or counted and classified visually. To make plastic detection in the water column more time- and cost-efficient, there is a need to explore remote sensing options. Here we present the results of two semi-controlled pilot tests in standing water using two imaging sonar technologies: an Adaptive Resolution Imaging Sonar (ARIS) sonar and a low-cost side-scan sonar (SSS). Additionally, the ARIS sonar was tested in flowing water at a sheltered shore channel behind a longitudinal training dam in the river Waal, the Netherlands. Both technologies were able to detect 100% of the macroplastics tested in standing water. The ARIS sonar provided higher resolution images of the targets tested due to its high operation frequency detecting macroplastics down to a size of 1 cm2. The ARIS sonar detected macroplastics in the field, however, the detection decreased to 67% in flowing water. This sonar was limited to the 2D horizontal position of targets. The SSS is a low-cost option for monitoring of plastics and is integrated with CHIRP sonar technology that combines side and down imaging providing the 3D position of targets. For future monitoring, an ARIS sonar in motion or two ARIS sonars used simultaneously may provide the necessary 3D spatial information of plastic targets.
DOI: 10.17026/dans-25c-ex37
title: Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging (MSI) data

description: The datasets are the part of the paper where the performance of different unsupervised methods were compared to validate their performance for spatial patterns selection on synthetic and real MSI data. The data folder contains some example spatially autocorrelated synthetic datasets.
DOI: 10.17026/dans-x9f-w9sa
title: UAVid Dataset

description: UAVid dataset is a high-resolution UAV semantic segmentation dataset focusing on street scenes.The dataset consists of 30 sequences (seq1 to seq30), which are captured with 4K high-resolution in oblique views.In total, 300 images have been densely labeled with 8 classes for the semantic labeling task.The 8 classes are Building, Road, Tree, Low vegetation, Moving car, Static car, Human, Background clutter.*Task DescriptionThe task for UAVid dataset is to predict per-pixel semantic labelling for the UAV imagery, and results will be evaluated with meanIoU metric. The original video files for each sequence will be provided upon request.*Data DescriptionTraining data and validation data: each sequence is provided with images and labels. Images are named according to the frame index (0-based) in the video sequence.Test data: only test images are provided.*Data expansionWe have collected another 12 sequences for the dataset. They are from seq31 to seq42, and are distributed to train, val and test sets. We recommend to use all data for training and testing. Otherwise, please only use seq1 to seq30 for training and testing as in the original paper.*CopyrightUAVid dataset is copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.*CitationWhen using this dataset in your research, please cite:@article{uavid20,Author = {Ye Lyu andGeorge Vosselman andGuisong Xia andAlper Yilmaz andMichael Ying Yang},Title = {UAVid: A Semantic Segmentation Dataset for UAV Imagery},journal = {ISPRS Journal of Photogrammetry and Remote Sensing},year = {2020},}*Contacty.lyu@utwente.nlmichael.yang@utwente.nl
DOI: 10.17026/dans-24b-qskr
title: Ying_Land_16022021

description: Recent rapid population growth and increasing urbanisation have led to fast vertical developments in urban areas. Therefore, in the context of the dynamic property market, factors related to the third dimension (3D) need to be considered. Current hedonic price modelling (HPM) studies have little explicit consideration for the third dimension, which may have a significant influence on modelling property values in complex urban environments. Therefore, our research aims to narrow the cognitive gap of the missing third dimension by assessing both 2D and 3D HPM and identifying important 3D factors for spatial analysis and visualisation in the selected study area, Xi’an, China. The statistical methods we used for 2D HPM are ordinary least squares (OLS) and geographically weighted regression (GWR). In 2D HPM, they both have very low R2 (0.111 in OLS and 0.217 in GWR), showing a very limited generalisation potential. However, a significant improvement is observed when adding 3D factors, namely view quality, sky view factor (SVF), sunlight and property orientation. The obtained higher R2 (0.414) shows the importance of the third dimension or—3D factors for HPM. Our findings demonstrate the necessity to include such factors into HPM and to develop 3D models with a higher level of details (LoD) to serve more purposes such as fair property taxation.
DOI: 10.17026/dans-zyt-6bnz
title: Mapping the wavelength position of mineral features in hyperspectral thermal infrared data

description: This dataset was used for a publication that describes the first time application of the Minimum Wavelength Mapper tool to (airborne) thermal infrared data. The Wavelength Mapper is an algorithm that searches for the deepest absorption feature in each pixel of a hyperspectral image. On a per pixel basis, it extracts the wavelength position, which serves as a proxy of the mineralogy and the feature depth as a proxy for the relative abundance. This algorithm has been used with near and shortwave infrared data, but has not yet been tested on hyperspectral thermal infrared images. It is unclear what results are expected when the Wavelength Mapper algorithm is applied to hyperspectral thermal infrared data since reststrahlen features characteristically overlap in emissivity spectra. In this paper, the Wavelength Mapper is tested on a multi-flightline airborne hyperspectral TIR dataset acquired over the Yerington Batholith, Nevada. Observations were made in the 8.05–11.65 μm wavelength range to include thermal spectral features of major rock-forming minerals, and a new color ramp is created to separate quartz-rich rocks from plagioclase-rich rocks. Our results indicate that the Wavelength Mapper creates coherent spatial patterns across flightlines. The results displayed represent different types of igneous and sedimentary rocks, as well as the products of hydrothermal alteration via different colors, mainly based on the relative abundance of quartz, feldspar and garnet, as well as mica and epidote. Comparison with published maps indicate that the Wavelength Mapper represents for each pixel a parameter value that can be linked to the spectrally dominate rock-forming mineral of that area, as mapped with traditional fieldwork methods. In conclusion, the Wavelength Mapper can be applied to airborne hyperspectral TIR data to achieve a simple, repeatable, per-pixel overview map of the dominating rock-forming mineral occurrences.