Find research datasets worth reusing

opencc-by-4.0Dec 2020View details →

Parcel Manager data set

Data contained in this repository can be used for replicating the two use cases of Parcel Manager software application presented in the paper (Colomb et al., 2021, submitted). The first use case enables the simulation of a scenario called test scenario designed specifically to test different parcel division processes and workflows with Parcel Manager. The area under study is a small community (Gennes, 681 inhabitants) located in the east of France. Data used are from the French IGN BD Topo 2018. The second use case enables the comparison of the shape of parcels created by simulation with the shape of parcels in real cases. The comparison concerns the parcel plans in 2003 and 2018 of 11 communities of the Seine-et-Marne department, near Paris capital city (France). Data for 2018 are from the French IGN BD Topo 2018. They have been cleaned manually as follows: <ul> <li>removing parcels that represent driveways or roads which could be used by residential parcels, – removing the tiny parcels resulting from a former division process and that could prevent the access to roads of neighbouring parcels,</li> <li>removing parcels located on water surfaces or railways,</li> <li>removing roads of type ’trails’ and ’stairs’.</li> </ul> Parcel data for 2003 are from the IGN BD-Parcellaire 2003. Building and road data come from the IGN BD-Topo 2005. The cleaning results of the 2018 parcel plan have been copied into the 2003 parcel plan. The road network encompasses every types of paths that are accessible with a car. <ul> <li>Driveways are small paths for cars that connect a house to the road network. Driveways are included in parcels and are not considered as a proper road.</li> <li>Gravel roads are non-asphalted trails. They can occasionally be used by cars. Their level of attraction is low (level 2).</li> <li>Lanes are small roads dedicated to house access. Their level of attraction is maximal (level 4). Note that peripheral roads created with the straight skeleton algorithm are classified as lanes.</li> <li>Streets are roads that connect lanes. Their level of attraction is high (level 3).</li> <li>Arterial roads are high-speed roads connecting communities. Their level of attraction for parcel contact is minimal (level 1).</li> </ul> In the data set created for the test Scenario, the road layer has been manually enriched: missing trails and lanes have been added; type and level of attraction of some road segments have been changed.

opencc-by-4.0Mar 2002View details →

DATA SET USED IN THE PHYLOGENETIC ANALYSIS ?, condition not preserved. Coding for Paraortygoides based on BMNH PAL A 6217 (holotype of P. radagasti) and SMRME 1303 (holotype of P. messelensis) in The Fossil Galliform Bird Paraortygoides from the Lower Eocene of the United Kingdom

DATA SET USED IN THE PHYLOGENETIC ANALYSIS ?, condition not preserved. Coding for Paraortygoides based on BMNH PAL A 6217 (holotype of P. radagasti) and SMRME 1303 (holotype of P. messelensis)

opencc-by-4.0Oct 2021View details →

Data Set Analisis Perilaku dan Interaksi pada YouTuber Gaming berdasarkan Persebaran Gender

Data Set Analisis Perilaku dan Interaksi pada YouTuber Gaming berdasarkan Persebaran Gender

opencc-by-4.0Oct 2021View details →

Electronic Supplement / Data Archive for "Comparison of a Neutral Density Model With the SET HASDM Density Database"

These files provide supplemental data to accompany the paper "Comparison of a Neutral Density Model With the SET HASDM Density Database,”  submitted to Space Weather, with manuscript number 2021SW002888.  Details are provided in the file DataArchiveDocumentation.pdf.

opencc-by-4.0Jul 2021View details →

DATA SET OF EXISTING AND ONGOING CASE STUDIES IN THE ARTS 2008-2020

PURPOSE: D2.1, Data Set of Case Studies in the Arts 2008-2020 fulfils the following purposes: 1. Build a research database for past and ongoing good practices in the field of arts-based social interventions in AMASS partner countries. 2. Construct a solid foundation for the development of new interventions with similar objectives. 3. To avoid obstacles that made many previous efforts in this field unsustainable and unadaptable. 4. To offer a valid and authentic knowledge repository for policy makers, developers of future projects and researchers to identify motivations, philosophies, modes of engagement and impact of arts-based social interventions.

The predication of soil nematode and functional groups abundance in the terrestrial on the Tibetan Plateau (Data Set)

This is the dataset which is generated from the manuscript entitled 'The predication of soil nematode and functional groups abundance in the terrestrial on the Tibetan Plateau'. The spatial resolution of this dataset is about 1 km, of which coordinates systems is WGS84. There are 6 layers of nematode abundance in this GeoTiff file: 1. abd - Total Soil Nematode Abundance 2. bact - Abundance of bacterivores 3. fung - Abundance of fungivores 4. herb - Abundance of plant parasite 5. omni - Abundance of omnivores 6. pred - Abundance of predators

Data Set for Publication "Traceable Characterization of Low Power Voltage Instrument Transformers for PQ and PMU Applications"

This is dataset for paper published in CPEM2020 Conference Proceedings: Crotti G., Delle Femine A., Gallo D., Giordano D., Landi C., Letizia P.,S.,  Luiso M., "Traceable Characterization of Low Power Voltage Instrument Transformers for PQ and PMU Applications". https://doi.org/10.5281/zenodo.4153819 Excel file provides data for Figure 2 and following evaluation

Data set for "Superconducting 2D NbS2 Grown Epitaxially by Chemical Vapor Deposition "

Data set for the paper "Superconducting 2D NbS2 Grown Epitaxially by Chemical Vapor Deposition"

[Data set]for publication Acidification of Strawberry Puree Affects Color and Volatile Characteristics during Storage

Color degradation of strawberry-based products negatively affects consumer acceptance of these products. To improve the color stability of strawberry puree during storage, an acidification step (pH 1.5 and 2.5) prior to pasteurization was performed and quality changes of strawberry puree during storage (35 °C, 40 days) were monitored. Acidification prior to pasteurization resulted in an improved color and anthocyanin stability. However, the volatile fraction of strawberry puree was negatively influenced by acidification of the puree. Low acidic conditions (pH 1.5) resulted in the hydrolysis of esters, oxidation of terpene oxides, and acid-catalyzed reactions of terpene alcohols during storage. The volatile fraction of strawberry puree stored at pH 2.5 and 3.5 (the latter being the original strawberry puree) were more similar. Furthermore, after 4 days of storage, the pH of the acidified purees was brought back to the natural pH of the system (3.5) and subsequently thermally treated and stored. During this second storage, color showed a slightly faster degradation rate in those purees that were previously acidified, whereas anthocyanins exhibited similar trends suggesting that the advantage of acidification to preserve color would be beneficial after thermal processing, but more limited during storage of the regenerated product (second storage).

opencc-by-4.0Jun 2021View details →

EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set

Eighteen high-resolution ecological descriptors of vegetation and terrain for Denmark "EcoDes-DK15" The data are derived from the nationwide airborne laser scanning / LiDAR campaign of Denmark from 2014-2015 provided by the Danish Agency for Data Supply and Efficiency. Update: EcoDes-DK15 v1.1.0 (4 Dec. 2021) Following the recommendations and feedback during the first round of peer-review, we updated the EcoDes-DK processing pipeline and EcoDes-DK15 data set. The key changes are: <ul> <li>New version of the source data optimised to contain only point data collected before the end of 2015. The source data for EcoDes-DK15 v1.0.0 unintentionally contained data from 2018. The new source data is documented <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/source_data/readme.md">here</a>.</li> <li>New "date_stamp_*" auxiliary variables that illustrate the survey dates for the vegetation points in each cell. See updated descriptor documentation <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/documentation/descriptors.md">here</a>.</li> <li>Re-scaling of "solar_radiation" variable to MJ per 100 m2 per year.</li> </ul> Detailed documentation for the data set can be found in the accompanying manuscript and GitHub repository: Assmann, J. J., Moeslund, J. E., Treier, U. A., and Normand, S.: EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set, Earth Syst. Sci. Data Discuss. [preprint], <a href="https://doi.org/10.5194/essd-2021-222">https://doi.org/10.5194/essd-2021-222</a>, in review, 2021. <a href="https://github.com/jakobjassmann/ecodes-dk-lidar">https://github.com/jakobjassmann/ecodes-dk-lidar</a> Files are compressed using bzip2 and tar archiving. The compressed archives can be extracted using commonly available archiving tools (for example <a href="https://www.7-zip.org/">7z </a>on Windows, the archiving tool on macOS and bz2 on Linux).   A small example "teaser" subset (5 MB) of the data set, covering the Husby Klit area from Figure 7 in the manuscript, can be found <a href="https://github.com/jakobjassmann/ecodes-dk-lidar/blob/master/manuscript/figure_7/EcoDes-DK15_teaser.zip">here</a>. Abstract (from manuscript) Biodiversity studies could strongly benefit from three-dimensional data on ecosystem structure derived from contemporary remote sensing technologies, such as Light Detection and Ranging (LiDAR). Despite the increasing availability of such data at regional and national scales, the average ecologist has been limited in accessing them due to high requirements on computing power and remote-sensing knowledge. We processed Denmark’s publicly available national Airborne Laser Scanning (ALS) data set acquired in 2014/15 together with the accompanying elevation model to compute 70 rasterized descriptors of interest for ecological studies. With a grain size of 10 m, these data products provide a snapshot of high-resolution measures including vegetation height, structure and density, as well as topographic descriptors including elevation, aspect, slope and wetness across more than forty thousand square kilometres covering almost all of Denmark’s terrestrial surface. The resulting data set is comparatively small (~94 GB, compressed 16.8 GB) and the raster data can be readily integrated into analytical workflows in software familiar to many ecologists (GIS software, R, Python). Source code and documentation for the processing workflow are openly available via a code repository, allowing for transfer to other ALS data sets, as well as modification or re-calculation of future instances of Denmark’s national ALS data set. We hope that our high-resolution ecological vegetation and terrain descriptors (EcoDes-DK15) will serve as an inspiration for the publication of further such data sets covering other countries and regions and that our rasterized data set will provide a baseline of the ecosystem structure for current and future studies of biodiversity, within Denmark and beyond. Acknowledgements (from manuscript) We would like to thank Andràs Zlinszky for his contributions to earlier versions of the data set, Charles Davison for feedback regarding data use and handling, as well as Matthew Barbee and Zsófia Koma for sharing their insights on the source data merger and Zsófia’s script to generate summary statistics for the different versions of the DHM point clouds. Funding for this work was provided by the Carlsberg Foundation (Distinguished Associate Professor Fellowships) and Aarhus University Research Foundation (AUFF-E-2015-FLS-8-73) to Signe Normand (SN). This work is a contribution to SustainScapes – Center for Sustainable Landscapes under Global Change (grant NNF20OC0059595 to SN).

opencc-by-nc-sa-4.0Dec 2021View details →

Kyoushi Log Data Set

This repository contains synthetic log data suitable for evaluation of intrusion detection systems. The logs were collected from a testbed that was built at the Austrian Institute of Technology (AIT) following the approaches by [1], [2], and [3]. Please refer to these papers for more detailed information on the dataset and cite them if the data is used for academic publications. Other than the related <a href="https://zenodo.org/record/4264796">AIT-LDSv1.1</a>, this dataset involves a more complex network structure, makes use of a different attack scenario, and collects log data from multiple hosts in the network. In brief, the testbed simulates a small enterprise network including mail server, file share, WordPress server, VPN, firewall, etc. Normal user behavior is simulated to generate background noise. After some days, two attack scenarios are launched against the network. Note that the <a href="https://zenodo.org/record/5789064">AIT-LDSv2.0</a> extends this dataset with additional attack cases and variations of attack parameters. The archives have the following structure. The gather directory contains the raw log data from each host in the network, as well as their system configurations. The labels directory contains the ground truth for those log files that are labeled. The processing directory contains configurations for the labeling procedure and the rules directory contains the labeling rules. Labeling of events that are related to the attacks is carried out with the <a href="https://github.com/ait-aecid/kyoushi-dataset">Kyoushi Labeling Framework</a>. Each dataset contains traces of a specific attack scenario: <ul> <li>Scenario 1 (see gather/attacker_0/logs/sm.log for detailed attack log): <ul> <li>nmap scan</li> <li>WPScan</li> <li>dirb scan</li> <li>webshell upload through wpDiscuz exploit (CVE-2020-24186)</li> <li>privilege escalation</li> </ul> </li> <li>Scenario 2 (see gather/attacker_0/logs/dnsteal.log for detailed attack log): <ul> <li>DNSteal data exfiltration</li> </ul> </li> </ul> The log data collected from the servers includes <ul> <li>Apache access and error logs (labeled)</li> <li>audit logs (labeled)</li> <li>auth logs (labeled)</li> <li>VPN logs (labeled)</li> <li>DNS logs (labeled)</li> <li>syslog</li> <li>suricata logs</li> <li>exim logs</li> <li>horde logs</li> <li>mail logs</li> </ul> Note that only log files from affected servers are labeled. Label files and the directories in which they are located have the same name as their corresponding log file in the gather directory. Labels are in JSON format and comprise the following attributes: line (number of line in corresponding log file), labels (list of labels assigned to that log line), rules (names of labeling rules matching that log line). Note that not all attack traces are labeled in all log files; please refer to the labeling rules in case that some labels are not clear. Acknowledgements: Partially funded by the FFG projects INDICAETING (868306) and DECEPT (873980), and the EU project GUARD (833456). If you use the dataset, please cite the following publications: [1] <a href="https://ieeexplore.ieee.org/document/9262078">M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner and A. Rauber, "Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed," in IEEE Transactions on Reliability, vol. 70, no. 1, pp. 402-415, March 2021, doi: 10.1109/TR.2020.3031317.</a> [2] <a href="https://dl.acm.org/doi/10.1145/3510547.3517924">M. Landauer, M. Frank, F. Skopik, W. Hotwagner, M. Wurzenberger, and A. Rauber, "A Framework for Automatic Labeling of Log Datasets from Model-driven Testbeds for HIDS Evaluation". ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (ACM SaT-CPS 2022), April 27, 2022, Baltimore, MD, USA. ACM.</a> [3] <a href="https://repositum.tuwien.at/handle/20.500.12708/17804">M. Frank, "Quality improvement of labels for model-driven benchmark data generation for intrusion detection systems", Master's Thesis, Vienna University of Technology, 2021. </a>

opencc-by-4.0Dec 2021View details →

Data set on the Higher-Education Pact in Germany, 2007 - 2020

\begin{tabular}{@{\extracolsep{5pt}} ll} \\[-1.8ex]\hline \hline \\[-1.8ex] Variable & Description \\ \hline \\[-1.8ex] HASC\_1 & State name \\ Nb & State number \\ ccluster & 1 = Western Territorial State, 2 = Eastern State, \\ & 3 = City State \\ Ltype & 1 = Western Territorial State, 2 = Eastern State. \\ ZstA.0717 & Additional entrants (sum 2007 – 2017) to 2005-value \\ zStA.U0717 & Additional entrants a traditional universities \\ zStA.F0717 & Additional entrants a UAS \\ zStA.Fratio0717 & Share of entrants at UAS to total entrants. \\ Ant.StA05 & Enrollment rate 2005 \\ Ant.StA18 & Enrollment rate 2018 \\ RelStVZA05 & Adivsing relationship 2005 \\ RelStVZA18 & Adivsing relationship 2018 \\ GW05 & Share of graduates in the humanities 2005 \\ GW18 & Share of graduates in the humanities 2018 \\ NaWi05 & share of graduates in the natural sciences 2005 \\ NaWi18 & share of graduates in the natural sciences 2018 \\ SRW05 & share of graduates in the social sciences 2005 \\ SRW18 & share of graduates in the social sciences 2018 \\ WandS05 & migration balance 2005 \\ WandS18 & migration balance 2017 \\ \hline \\[-1.8ex] BUMI0717 & federal funds received by the HSP-programme \\ & (sum 2007 – 2018) \\ BUMIzStA0717 & BUMI0717 per additional entrant \\ Einw18 & population size 2018 \\ BUMI.GWP16 & federal funds covering all federal grants-in-aid \\ & in the higher-education field \\ STUD18 & number of students in 2018 \\ zstaeinw & additional entrants per capita \\ deltaantsta & relative change in the enrollment rate \\ deltabetrrel & relative change in the adising relationship \\ deltagw & relative change in the humanities \\ deltanw & relative change in the natural sciences \\ deltasrw & relative change in the social sciences \\ bumieinw & Federal funds (HSP) per capita \\ bumigwp16einw & Overall federal funds per capita \\ bumistud & Federal funds (HSP) per student \\ Prof05 & Number of professors 2005 \\ Prof17 & Number of professors 2017 \\ \hline \\[-1.8ex] \end{tabular}

Data set: "North Atlantic cooling is slowing down mass loss of Icelandic glaciers"

This data set includes the materials required to reproduce the figures and tables presented in the study: "North Atlantic cooling is slowing down mass loss of Icelandic glaciers". The data consist of: 1. Maps of annual surface mass balance (SMB) of Icelandic glaciers and ice caps (ICL) from RACMO2.3 at 500 m spatial resolution in NetCDF format. <ul> <li>smb_rec.1958-2019.RACMO2.3-ERA.ICL-0.5km.YY.nc: annual cumulative SMB of Icelandic glaciers and ice caps (kg m-2 or mm w.e. per year) from RACMO2.3 forced by ERA reanalyses for the period 1958-2019, and further statistically downscaled to 500 m spatial resolution. Forcing includes ERA-40 (1958-1978), ERA-Interim (1979-2018) and ERA5 (2019) reanalyses.</li> <li>smb_rec.1958-2099.RACMO2.3-CESM2-SSP85.ICL-0.5km.YY.nc: annual cumulative SMB of Icelandic glaciers and ice caps (kg m-2 or mm w.e. per year) from RACMO2.3 forced by CESM2 for the historical period 1958-2014 and by CESM2 under a high-end warming scenario SSP5-8.5 for the period 2015-2099, further statistically downscaled to 500 m spatial resolution.</li> <li>Topo_icemask_lsm_lon_lat_ICL-0.5km.nc: mask file including an ice mask, land/sea mask and surface topography derived from the ArcticDEM, and longitude/latitude coordinates on the 500 m grid.</li> </ul> NB: the NetCDF files above use a Polar Stereographic North (EPSG:3413) projection with a horizontal resolution of 500 m x 500 m. The reference point is located at 45ºW longitude and 70ºN latitude. 2. Time series of annual ICL-integrated SMB components (Gigatons or Gt per year), annual mean 2 m air temperature above Icelandic glaciers and ice caps (T2m; K), annual mean sea surface temperature (SST) in the Northern Blue Blob. These time series are available in ASCII format for the RACMO2.3 simulation forced by ERA reanalyses (1958-2019) and the RACMO2.3 projection forced by CESM2 under a high-end warming scenario SSP5-8.5 (1958-2099). RACMO2.3-ERA <ul> <li>SMB-components-RACMO2.3-ERA-1958-2019.txt: time series of annual integrated SMB, snowfall, rainfall, runoff, total melt, refreezing and retention (Gt per year) from the ERA-forced RACMO2.3 simulation (1958-2019).</li> <li>T2m-glacier-RACMO2.3-ERA-1958-2019.txt: time series of annual mean glacier T2m and anomalies relative to the period 1958-1994 (K) from the ERA-forced RACMO2.3 simulation (1958-2019).</li> <li>SST-Northern-Blue-Blob-RACMO2.3-ERA-1958-2019.txt: time series of annual mean Northern Blue Blob SST and anomalies relative to the period 1958-1994 (K) derived from the ERA reanalyses (1958-2019).The reanalyses include ERA-40 (1958-1978), ERA-Interim (1979-2018) and ERA5 (2019).</li> </ul> RACMO2.3-CESM2 <ul> <li>SMB-components-RACMO2.3-CESM2-SSP85-1958-2099.txt: time series of annual integrated SMB, snowfall, rainfall, runoff, total melt, refreezing and retention (Gt per year) from the CESM2-forced RACMO2.3 projection under a SSP5-8.5 scenario (1958-2099).</li> <li>T2m-glacier-RACMO2.3-CESM2-SSP85-1958-2099.txt: time series of annual mean glacier T2m and anomalies relative to the period 1958-1994 (K) from the CESM2-forced RACMO2.3 projection under a SSP5-8.5 scenario (1958-2099).</li> <li>SST-Northern-Blue-Blob-RACMO2.3-CESM2-SSP85-1958-2099.txt: time series of annual mean Northern Blue Blob SST and anomalies relative to the period 1958-1994 (K) derived from the CESM2 projection under a SSP5-8.5 scenario (1958-2099).</li> </ul> 3. Time series of monthly ICL-integrated SMB (Gt per month) for the period 1958-2099.  <ul> <li>SMB-monthly-RACMO2.3-1958-2099.txt: time series of monthly integrated SMB (Gt per month) combining RACMO2.3-ERA (January 1958 - December 2019) with RACMO2.3-CESM2 under a SSP5-8.5 scenario (January 2020 - December 2099) at 500 m horizontal resolution.</li> </ul> The daily downscaled SMB data sets from the ERA-forced RACMO2.3 simulation and the CESM2-forced RACMO2.3 projection under a SSP5-8.5 scenario are freely available from the authors upon request and without conditions (contact: b.p.y.noel@uu.nl). Besides SMB, the data sets include daily total precipitation (snow and rain), snowfall, total melt (snow and ice), runoff, refreezing and retention, total sublimation (surface and drifting snow), snow drift erosion, as well as 2 m air temperature at 500 m horizontal resolution.  Abstract: Icelandic glaciers have been losing mass since the Little Ice Age in the mid-to-late 1800s, with higher mass loss rates in the early 21st century, followed by a slowdown since 2011. As of yet, it remains unclear whether this mass loss slowdown will persist in the future. By reconstructing the contemporary (1958-2019) surface mass balance of Icelandic glaciers, we show that the post-2011 mass loss slowdown coincides with the development of the Blue Blob, an area of regional cooling in the North Atlantic Ocean to the south of Greenland. This regional cooling signal mitigates atmospheric warming in Iceland since 2011, in turn decreasing glacier mass loss through reduced meltwater runoff. In a future high-end warming scenario, North Atlantic cooling is projected to mitigate mass loss of Icelandic glaciers until the mid-2050s. High mass loss rates resume thereafter as the regional cooling signal weakens.

opencc-by-4.0Dec 2020View details →

Quantum stochastic resonance of individual Fe atoms. Open data sets.

Data sets for publication: Quantum Stochastic Resonance of individual Fe atoms Max Hänze, Gregory McMurtrie, Susanne Baumann, Luigi Malavolti, Susan N. Coppersmith, Sebastian Loth

Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnosis of Depression: Data and code

In the archive are the datasets and code used to create the results in article "Application of Mass Multivariate Analysis on Neuroimaging Data Sets fo Precision Diagnosis of Depression". The methods is based on the Multivariate Linear toolbox mad F. Kherif’s lab and available on GitHub. <a href="https://github.com/LREN-CHUV/MLM">https://github.com/LREN-CHUV/MLM</a>.    A total of 44 patients with a current psychotic (n=19) or depressive (n=25) episode were analyzed by MLM (details can be found in the article itself) utilizing resting sate fMRI, tasks fMRI, and anatomical T1w images.  The data results are provided in MATLAB format, in a matrix called MLM.mat. The matrix includes the canonical variables for each of the three imaging modalities, chi-square statistics, and p-values for each brain region.  Additionally, we provided a function MLM_plot_fun that allows mapping the statistics results to a canonical three-dimensional brain as per the article.

opencc-by-4.0Aug 2021View details →

Cryo 4D-STEM Data Set: isotactic Polypropylene/ Ethylene-Octene Copolymer Interface

Sample: Data is taken of a iPP/EO (DOW ENGAGETM 8540) blend interface. The blend was cryo-microtomed to a nominal slice thickness of 50nm. Transmission electron microscopy was performed using the TEAM I microscope at the Lawrence Berkeley National Laboratory using a Gatan K3 detector and Continuum spectrometer. Data Set 12: This work was performed at -185°C under liquid nitrogen cooling with a 300kV accelerating voltage and a semi-convergence angle of 0.5mrad which yielded a diffraction-limited probe with a full-width half-max of 2nm. The beam was rastered with a step size of 5nm over a 505 × 500nm2 field of view. The electron dose per sample area over the entire scan is 20 e-/Å2. However, 4D-STEM is a converged probe technique in which ~80% of the beam fluence is contained within 1.74 × the FWHM of the probe. Using 1.74 × the FWHM of the probe as the diameter to calculate the irradiated sample area yields a dose of 60 e-/Å2 for this data set.  Gold nanoparticles were used to calibrate the reciprocal space pixel size as well as measure the elliptical distortion present in the data set. Data Set 18: This data was taken at -185°C under liquid nitrogen cooling with a 300kV accelerating voltage and a semi-convergence angle of 0.14mrad which yielded a diffraction-limited probe with a full-width half-max of 10nm. The beam was rastered with a step size of 10nm over a 1.4 × 1.4μm2 field of view. The electron dose per sample area over the entire scan was 0.50 e-/Å2 while the dose per probe area was 0.64 e-/Å2. Gold nanoparticles were used to calibrate the reciprocal space pixel size. Data Set 19: This data was taken over the exact same area as Data Set 18 to give a comparison under larger dose accumulation. The data was obtained with the exact same parameters and under the same experimental conditions as Data Set 18.

Data set for "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor"

Zipped file containing three python Dictionaries pertaining to the Science Advances publication "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor," authored by  Ruben Perez-Carrasco, María-José Franco-Oñate, Jean-Charles Walter, Jérôme Dorignac, Fred Geniet, John Palmeri, Andrea Parmeggiani, Nils-Ole Walliser, and Ashley L Nord.

Data set: Land use and land cover change in a tropical mountain landscape of northern Ecuador: altitudinal patterns and driving forces

Tropical mountain ecosystems are threatened by land use pressures, compromising their capacity to provide multiple ecosystem services. The analysis of landscape changes and their proximate driving forces is often qualitative and sectorial oriented, although local patterns and numerous interactions among socio-economic, demographic, and biophysical factors shape these socio-ecological systems. We characterized land use land cover (LULC) dynamics using Markov-chain probabilities by elevation and geographic settings and then, implementing the DPSIR holistic approach, we integrated them with a variety of freely available geospatial and temporal data into a Generalized Additive Model (GAM) to uncover the factors driving such landscape dynamics in a sensitive region of the northern Ecuadorian Andes. Our results demonstrated a dynamic and clear geographical pattern of distinct LULC transitions through time, explained by different combination of socio-economic factors, demographic and infrastructure variables and environmental parameters, from which topographic variables were the main drivers of change in this landscape. We found that deforestation of remnant native forest and agricultural expansion still occur in higher elevations, while land conversion toward anthropic environments, particularly significant expansion of floriculture and urban areas were observed in lower elevations to the east of the studied territory. Our findings also revealed an unexpected stability trend of paramo and a successional recovery of previous agricultural land to the west and center of the territory, which could be explained by agricultural land abandonment. However, the very low probability of persistence of montane forests found overall, highlights the greater threat to permanently lose the already vulnerable mountain native biodiversity. The methodological approach and our findings, demonstrating dynamic patterns through space and time and their explanatory drivers, could help local authorities and stakeholder to improve sustainably resource land management in vulnerable landscapes such as the tropical Andes in northern Ecuador.

opencc-by-4.0Feb 2022View details →

The Data Set for the Publication "Laboratory Testing of Small Scale Solar Facade Module with Phase Change Material and Adjustable Insulation Layer"

In the scope of the ambitious EU goals of carbon neutrality in 2050, building energy efficiency is one of the crucial segments. To ensure a faster energy transition process, innovations are needed at various built environment-related sectors - starting from building components up to urban level energy management advancements. Phase change material (PCM) enriched building components allow to shift the existing paradigm - to make a switch from the static building components to dynamic ones able to take an active part in building energy balance by ensuring energy storage in the building thermal envelope. The data set presented here supports the paper "Laboratory Testing of Small Scale Solar Facade Module with Phase Change Material and Adjustable Insulation Layer". The design of the façade module, experimental setup, used equipment, the plan of the experiment, and obtained results are described in the paper. The provided data set provides heat-flux and average temperature (in PCM) measurements.