Find research datasets worth reusing

opencc-by-4.0Jun 2020View details →

Profiling the REACH-chemical space with Generative Topographic Mapping

The REACH (Registration Evaluation Authorization and restriction of Chemicals) regulation requires from industries the reporting of hazard data for substances placed on the market. Thanks to the registration procedure initiated in 2007, a large REACH database [1] of well defined (eco)toxicological properties has been created. The REACH-chemical space is defined by more than 21’500 compounds registered in the REACH database. Considering the high number of chemicals and endpoints for which experimental data is available, the ability to visualize this chemical space as well as to profile a compound integrating several key properties at once is a growing need. Here, the data distribution in REACH chemical space was visualized and analysed with the help of 2-dimensional Generative Topographic Map (GTM). Similarly to geographical map, on GTM, each object (compound) is visualized as a datapoint. Moreover, compounds possessing similar properties tend to be located in neighbourhood. The third dimension can be added in order to display a distribution of the given (eco)toxicological property (such-called “property landscape”), which can further be used for property assessment of new compounds projected on the map.  We report the universal REACH map which accommodates 11 endpoints, covering environmental fate, and (eco)toxicological properties. This map is able to provide predictions for each property, and demonstrates acceptable predictive performance in cross-validation: balanced accuracy ranges from 0.60 to 0.78. Superposition of different property landscapes allows to delineate the “areas of interest” populated by molecules possessing desirable (eco)toxicological profile.

Sunyaev-Zeldovich Effect Tomography: Processed Planck Maps and Masks

This package contains two sets of products constructed and used in the Sunyaev-Zeldovich Effect Tomography project by Yi-Kuan Chiang, Ryu Makiya, Brice Ménard, and Eiichiro Komatsu. The first directory is a set of full-sky Planck HFI channel intensity maps from 100 to 353 GHz (Planck Collaboration 2016). We post-processed the maps to remove CMB fluctuations using that constructed in Bobin et al. (2016). The maps are stored using the HEALPix (Górski et al. 2005) scheme with the ring ordering of N_side = 2048. The map unit is MJy/sr. The second directory is a set of masks, including a 60% Galactic mask, a joint Planck point source mask, and a joint SDSS footprint and veto mask. The masks are in ring ordered HEALPix format of N_side = 2048. If you make use of these products, please cite the following papers: Chiang, Makiya, Ménard, & Komatsu, 2020, arXiv:2006.14650 Chiang, Makiya, Komatsu, & Ménard, 2020, arXiv:2007.01679

100-Year Flood Hazard Map with Municipal Boundaries Overlay

100-Year Flood Hazard Map with Municipal Boundaries Overlay

opencc-by-4.0Aug 2020View details →

Data from: Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru

This is the data from the publication "Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru" (<a href="http://onlinelibrary.wiley.com/doi/10.1111/ecog.05091/abstract">http://onlinelibrary.wiley.com/doi/10.1111/ecog.05091/abstract</a>). The code (including figures, appendices and the manuscript) can be found directly in the <a href="https://github.com/jannes-m/2020-enso-tdf">GitHub repository</a>. Data sources and description Column descriptions for all tables can be found in variable_description.ods. Following tables are stored in tables.gpkg: <ol> <li>plot_species_matrix_2011: Plot species matrix recorded in 2011</li> <li>plot_species_matrix_2012: Plot species matrix recorded in 2012.</li> <li>plot_species_matrix_2016: Plot species matrix recorded in 2016.</li> <li>plot_species_matrix_2017: Plot species matrix recorded in 2017.</li> <li>lifeform: Lifeforms of the recorded species</li> <li>plot_variables: Variables specific to the plots such as height of the first tree layer, cover of dead wood, etc.</li> <li>soil: Edaphic variables.</li> <li>topography: Topographic variables.</li> <li>streets: Streets and dirt tracks in the study area.</li> <li>towns: Polygons displaying the outline of the cities Paita, Piura and Chulucanas.</li> <li>rivers: Lines displaying the major rivers in the study area.</li> <li>study_area: Outline of the study area.</li> <li>peru: Outline of Peru.</li> <li>neighbors: Outline of Peru's neighbors (Bolivia, Brazil, Chile, Colombia, Ecuador).</li> <li>coast: Coastal strip of and close to the study area.</li> <li>precipitation: Precipitation measured at the three climatic stations (Paita, Piura, Chulucanas).</li> <li>experiment_count: species counted per visit (irrigation-fertilization experiment).</li> <li>experiment_irrigation: Rain input by time during the irrigation-fertilization experiment.</li> <li>experiment_cover: Cover of each plant species per visit and per experimental plot (irrigation-fertilization experiment).</li> </ol>

opencc-by-nc-nd-4.0Sep 2020View details →

Cell mechanics measurements in force mapping AFMBioMed Summer school 2020

A 15 min video tutorial to perform  AFM cell mechanics measurements in force mapping mode. The video presents: <ul> <li>Preparation of the sample</li> <li>Cantilever coating and calibration </li> <li>Laser alignment and approach</li> <li>How to perform force curves and force maps on living adherent cells</li> </ul>

opencc-by-4.0Jan 2020View details →

Metrics Literacies research project mapped to Knowledge two Action (K2A) framework

Schematic representation of the Metrics Literacies research project mapped onto the Knowledge to Action (K2A) framework  Based on K2A framework proposed by: Wilson, K. M., Brady, T. J., Lesesne, C., & NCCDPHP Work Group on Translation. (2011). An organizing framework for translation in public health: The Knowledge to Action Framework. Preventing Chronic Disease, 8(2), A46. PMID: 21324260

A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia

This repository hosts the raw data and source code for the paper entitled " A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia" [DOI: 10.7717/peerj.10106]. Two zip archives are available: Raw data and methods evaluation.zip - Retains empirical data and method evaluation code (R scripts) that relate to data presented in the results and discussion sections of the article, specifically, Figures 3 -11 and Tables 1 and 2. RTmap_source_code_and_data_structure.zip - This repository hosts the source code for <a href="http://austemperature.live/">http://austemperature.live/</a>, as described in the methods section of the article. A README.docx presents the contents and subsequent procedures for deploying the mapping code and web map application. For further information about this files please email: mweb7041@uni.sydney.edu.au

Dataset for systematic mapping literature about STEAM through Challenge-Based Learning, Robotics and Physical Devices

This is the public dataset for the systematic mapping literature review performed for the paper "Fostering STEAM through Challenge-Based Learning, Robotics and Physical Devices: A systematic mapping literature review". Related to activity O2.A1 of the RoboSTEAM European Project.

5 km square grid used in vascular plant mapping in Iceland

This dataset contains 5 km square grid used in mapping the distribution of vascular plants in Iceland. The grid covers all land area of Iceland, including all smaller islands and archipelagoes close to mainland Iceland. The grid is available in two different formats: 1. ESRI shapefile ( UTF-8, Polygon [MultiPolygon], EPSG:3057 - ISN93 / Lambert 1993 - Projected) and 2.  Keyhole Markup Language file (KML).

Noise Maps ACTION pilot data 2020

The Noise Maps project focused on deploying a citizen science process in the Barcelona neighborhoods of Sagrada Familia and the Raval to address the challenge of noise pollution. The sound data was generated between May and September 2020.

data set related to article Echo-time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths

This record contains raw date related to article Echo-time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths

Distribution maps and climatic niches analysis of Heliconius butterflies

Distribution maps of Heliconius butterflies and climatic niches analysis between co-occurring and hybridizing species.

Fibronectin-Based Nanomechanical Biosensors to Map 3D Surface Strains in Live Cells and Tissue (Raw Data)

This is the raw microscope imaging data for the manuscript titled "Fibronectin-Based Nanomechanical Biosensors to Map 3D Surface Strains in Live Cells and Tissue."

opencc-zeroOct 2020View details →

dryad32/100

Data for: High-resolution land value maps reveal underestimation of conservation costs in the United States

The justification and targeting of conservation policy rests on reliable measures of public and private benefits from competing land uses. Advances in Earth system observation and modeling permit the mapping of public ecosystem services at unprecedented scales and resolutions, prompting new proposals for land protection policies and priorities. Data on private benefits from land use are not available at similar scales and resolutions, resulting in a data mismatch with unknown consequences. Here I show that private benefits from land can be quantified at large scales and high resolutions, and that doing so can have important implications for conservation policy models. I develop the first high-resolution estimates of fair market value of private lands in the contiguous United States by training tree-based ensemble models on 6 million land sales. The resulting estimates predict conservation cost with up to 8.5 times greater accuracy than earlier proxies. Studies using coarser cost proxies underestimated conservation costs, especially at the expensive tail of the distribution. This might have led to underestimations of policy budgets by factors of up to 37.5 in recent work. More accurate cost accounting will help policy makers acknowledge the full magnitude of contemporary conservation challenges, and can assist with the targeting of public ecosystem service investments.

Incremental Development of Safety Cases: a Mapping Study

Video presentation for Research Track article "Incremental Development of Safety Cases: a Mapping Study"

opencc-zeroOct 2020View details →

dryad32/100

Data from: A nested association mapping panel in Arabidopsis thaliana for mapping and characterizing genetic architecture

Linkage and association mapping populations are crucial public resources that facilitate the characterization of trait genetic architecture in natural and agricultural systems. We define a large nested association mapping panel (NAM) from 14 publicly available recombinant inbred populations (RILs) of Arabidopsis thaliana, which share a common recurrent parent (Col-0). Using a genotype-by-sequencing approach (GBS), we identified single nucleotide polymorphisms (SNPs; range 563-1525 per population) and subsequently built updated linkage maps in each of the 14 RIL sets. Simulations in individual RIL populations indicate that our GBS markers have improved power to detect small effect QTL and enhanced resolution of QTL support intervals in comparison to original linkage maps. Using these robust linkage maps, we imputed a common set of publicly available parental SNPs into each RIL linkage map, generating overlapping markers across all populations. Though ultimately depending on allele frequencies at causal loci, simulations of the NAM panel suggest that surveying between 4 to 7 of the 14 RIL populations provides high resolution of the genetic architecture of complex traits, relative to a single mapping population.

A digital mapping of the literature on vehicle-bridge-wind systems

This dataset is the result of a systematic search and mapping of the literature relevant to the vehicle-bridge-wind system. The search phrase used to search the databases listed below can be found in tabulated form in one of the spreadsheets. The core component to this search phrase is that the title, abstract or keywords should include all three of the words vehicle, bridge and wind. Using one possible syntax for the boolean operators, the search phrase might look like: <ul> <li>("numerical analysis" OR model OR modelling OR modeling OR experiment OR field OR "wind tunnel" OR parameter OR "case study" OR coupled OR interaction OR analysis OR vbi OR safety) AND (("bridge" AND "vehicle" AND "wind")) AND ("long span" OR "long-span" OR floating OR "cable stayed" OR "cable-stayed" OR suspension OR long OR "floating tunnel") NOT ("short span" OR "short-span" OR rail OR train)</li> </ul> Note that the search is specific to long-span bridges and road vehicles. The phrase was used to search the following databases: <ul> <li>Scopus</li> <li>Engineering Village</li> <li>Web of Science</li> <li>Science Direct</li> <li>Oria/NTNU</li> </ul> Following a screening process, data of interest was extracted from the articles through structured searches and readings. A description of this process and a succinct presentation of the findings of the search and mapping will follow in the form of a published journal article. The "Database" sheet gives a structured list of the main contributions from all texts considered relevant for the mapping process. The citation keys used in the spreadsheet can be mapped to the referenced texts through the .bib file. Each text is pre-categorized based on readings of the abstract/conclusion into one of the following areas, describing the main contribution of the piece: <ul> <li>Vehicle Dynamics</li> <li>Bridge Dynamics</li> <li>Vehicle Aerodynamics</li> <li>Bridge Aerodynamics</li> <li>Vehicle-bridge Aerodynamics</li> <li>Vehicle-bridge Interaction</li> </ul> Texts are also classified by research level: <ul> <li>Evaluation: development/demonstration of a novel modelling method</li> <li>Lab Validation: validation of models by experimental data or advanced numerical models in a virtual lab (e.g. computational fluid dynamics)</li> <li>Field Validation: the use of field experiments to verify, validate and/or calibrate existing models</li> </ul> Each column can be filtered by entering a phrase in the appropriate cell in the table at the top of the sheet. Enabling macros will allow the sheet to update each time the content of said cell changes. The "Filtered List" is then a list of all texts that satisfy the filters. This is intended as a living document and any and all comments, concerns and questions are warmly welcomed.

Associated Motion in Tibeto-Burman: color map

This is a map of languages surveyed in an article on association motion in Tibeto-Burman languages for the journal Linguistic Typology.

Map-projected time-lapse of zebrafish left-right somite formation

Zebrafish embryos in their chorions were imaged from 6 angles in a multiview light sheet microscope. The imaging was started 10 hours post fertilization and was performed for about 4 to 5 hours at a frame interval of 5 min. The resulting images were fused using FIJI, followed by nuclei detection in the fused images and map projection. This data set contains map projected time-lapses of 6 utr::mcherry transgenic embryos. Utrophin binds to actin filaments and was used as a somite boundary marker. The pixel size varies spatially in a map as well as across different projection layers in a single time-lapse. The corresponding Map_pixel_size mat file for each time-lapse contains respective pixel sizes.

Risk Management for System of Systems: A Systematic Mapping Study

Authors of the paper: Samuel de Souza Lopes - University of São Paulo - samuel.lopes@usp.br Iohan Gonçalves Vargas - University of São Paulo - iohan@usp.br Rosana Teresinha Vaccare Braga - University of São Paulo - rtvb@icmc.usp.br André Luiz de Oliveira - Federal University of Juiz de Fora - andre.oliveira@ice.ufjf.br   Presenter: Samuel de Souza Lopes