Find research datasets worth reusing

opencc-by-4.0Jul 2024View details →

Georeferenced and cataloged dataset built from Nimuendajú's Ethnohistorical Map

This is a publicly available georeferenced ethnohistoric dataset based on Nimuendajú (2017). These data were first used in Barsanetti and Ferreira (2024). We have made this folder available to the wider public for use in academic, not-for-profit research. If you use these data in one of your papers, please cite the data (DOI: 10.5281/zenodo.12772630) and also the following references (or newer versions of them):  Nimuendajú, Curt (2017). Mapa Etno-Histórico do Brasil e Regiões Adjacentes. Brasília: Instituto do Patrimônio Histórico e Artístico Nacional, Instituto Brasileiro de Geografia e Estatística. Barsanetti, Bruno, and Alípio Ferreira (2024). “Historical Indigenous Extinctions and Modern Deforestation in the Amazon.” Working paper. Please refer to Barsanetti and Ferreira (2024) for a detailed explanation of the dataset and preparation and a discussion of its strengths and limitations. Please read the "Read Me" file for details on the files, which are in the compressed folder "Compressed Data". We appreciate the research assistance of Matheus Dutra, Alan Gayger, Lilian Kingston Freitas, and Alexandre Portugal. Please contact us by email at bruno.barsanetti@fgv.br for any inquiries. This version of the dataset was published on July 18, 2024. Bruno Barsanetti, EPGE Brazilian School of Economics and Finance Alipio Ferreira, Southern Methodist University

opencc-by-4.0Jan 2018View details →

ENTICE VM image analysis and optimised fragmentation frequently built images dataset

As part of the evaluation of ENTICE VM image analysis and optimised fragmentation services we have implemented a simulation environment which analyses online software package repositories (e.g. ones offered by the maintainers of the Ubuntu and Debian Linux distributions) and deduces decomposition options as well as expected fragment sizes based on metadata acquired from these repositories. This dataset contains the collected recipes for several frequently built Ubuntu Linux based VMIs (e.g., LAMP, LAPP, LEMP, LLMP, LYME, MEAN/MERN, LTM, etc.) and  the calculated fragments and their relations. The dataset is used to analyse and evaluate the behaviour of the fragmentation services. The dataset is in compressed LRZIP format.

opencc-by-4.0Jun 2018View details →

Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap

This dataset contains input, intermediary, and output files for the following paper: Yann Forget, Catherine Linard and Marius Gilbert. "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap", 2018. The dataset is composed of three archives: <ul> <li><code>input.zip</code> : contains raw input data required to run the study ;</li> <li><code>intermediary.zip</code> : contains processed data required for the analysis ;</li> <li><code>output.zip</code> : contains the output tables and images of the study.</li> </ul> Alternatively, output images of the study can be previewed <a href="http://maupp.ulb.ac.be/page/forget2018/">here</a> in interactive maps. The source code used to produce the outputs is availabe <a href="https://zenodo.org/record/1292005">here</a>.

opencc-by-4.0Jul 2019View details →

Mechanical drawings and calibration code for a custom built staircase to patient biomechanics

This repository accompanies a preprint (doi: , and hopefully one day a peer-reviewed manuscript) that describes the steps we took to design, fabricated, calibrate and validate a costume built staircase that we then integrated into a clinical gait analysis test session. This repository has 4 sub-directories that each provide specific information neccesary to recreate our staircase or build your own. 1. matlab.zip - this archived folder has 3 subfolders. i) calibrate_validate, ii) transfer_mocap_2_osim, and iii) batch_osim. This archived folder also has a readme. please read it. I cannot provide any warranty on this software but am happy to help reasonable requests. My contact info is in the readme. Also - check out my github < github.com/joshrbaxter > for updated code 2. stairs_drawings.zip - this archived folder has the bill of materials, mechanical drawings, and a cute 3D PDF. 3. trc_forces.zip - this folder has the motion capture data exported from Motion Analysis's Cortex software (version 7).  4. osim.zip - this folder contains all of the files required to run the opensim model along with all of the output files from inverse dynamics and inverse kinematics. these files were all generated from matlab routines provided in the matlab.zip folder.

opencc-by-4.0Oct 2015View details →

Fig. 1. Case built from a in Biomass estimation of Triplectides egleri Sattler (Trichoptera, Leptoceridae) in a stream at Ducke Reserve, Central Amazonia

Fig. 1. Case built from a small twig by a Triplectides egleri (Trichoptera: Leptoceridae) larva in a Central Amazonian stream, Brazil. Red line indicates where the width of the case (= extent of the excavated area, at the ventral region) was measured.

Figure 11 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 11. Variabilities of high meiobenthic taxa by their abundance (103 ind./m2) (colored bars) and by their total number (dotted line): A – in the bottom sediments, B – in the biofouling of the channel walls at the depth of 1.5 meters.

Figure 8 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 8. Quantitative representation of macrozoobenthos in the channel wall biofouling at a depth of 1.5 m: A – by abundance (103 ind./m2), B – by biomass (g/m2).

Figure 6 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 6. Channel wall biofoulings at the point 4: A, B – underwater edge on the northeast wall; C – at the depth of 1.5 m on the northeast wall; D, E – underwater edge on the southeast wall; F – at the depth of 1.5 m on the southeast wall.

Figure 5. A in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 5. A – General view of the biofouling at the point 3, B – Porifera colonies, C – Mussels druze on the halyard.

Figure 2 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 2. Topography of anthropogenic objects in the underground channel on the base of submarines in Balaklava and benthic sampling stations. Topography of anthropogenic objects in the underground channel at the submarine base in Balaklava and the benthos sampling station.

Figure 1 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 1. Museum of Military History of Fortifications "Balaklava" in Mount Tavros: A – entrance to the Museum from the side of the Balaklava Bay embankment (photo by A. Zatsepin); B – northern entrance part of the channel from the side of the embankment of the bay; C – southern entrance part of the channel; D, E – internal view of the channel with artificial illumination in its different parts.

Figure 9 in First researches of the underwater ecosystem communities of an underground channel built in 1950s (Balaklava bay, Sevastopol)

Figure 9. The species number ratio of higher taxa in the channel walls macrobiofouling, in comparison with similar data on rocks other areas of the Crimean coast.

Fig. 4 in Influence of rainfall regime in the Cerrado biome on the maintenance of traps built by Myrmeleon brasiliensis (Navás) (Neuroptera: Myrmeleontidae) larvae and the morphology of adults

Fig. 4. Size (mean ± SD) of Myrmeleon brasiliensis (Návas) larvae traps submitted to different rain freQuencies. (Treatment I: control, no rain; Treatment II: rain every 10 days and Treatment III: rain every 5 days).

Fig. 3 in Influence of rainfall regime in the Cerrado biome on the maintenance of traps built by Myrmeleon brasiliensis (Navás) (Neuroptera: Myrmeleontidae) larvae and the morphology of adults

Fig. 3. Percentage of live larvae, pupae, live adults and dead larvae of Myrmeleon brasiliensis (Návas, 1914) (Neuroptera: Myrmeleontidae) observed at the end of the experiments (Treatment I: control, without rain; Treatment II: rain every 10 days and Treatment III: rain every 5 days).

Fig. 1 in Influence of rainfall regime in the Cerrado biome on the maintenance of traps built by Myrmeleon brasiliensis (Navás) (Neuroptera: Myrmeleontidae) larvae and the morphology of adults

Fig. 1. Abundance of Myrmeleon brasiliensis (Návas, 1914) larvae traps and rainfall (mm), recorded between December 2018 and November 2019 in an area of Cerrado, AQuidauana, MS, Brazil.

Fig. 5 in Influence of rainfall regime in the Cerrado biome on the maintenance of traps built by Myrmeleon brasiliensis (Navás) (Neuroptera: Myrmeleontidae) larvae and the morphology of adults

Fig. 5. Mean and standard deviation of the adult body length of Myrmeleon brasiliensis (Návas, 1914) from larvae subjected to different rainfall freQuencies. (Treatment I: control, no rain; Treatment II: rain every 10 days and Treatment III: rain every 5 days).

opencc-by-4.0Aug 2024View details →

Bayesian inference of the dense matter equation of state built upon extended Skyrme interactions [Data Set]

<pre> </pre> We provide the posterior distributions of the input parameters of the five main runs considered in the article "Bayesian inference of the dense matter equation of state built upon extended Skyrme interactions" (accepted to Phys. Rev. C, arXiv: 2403.19325). Each row in each file corresponds to one equation of state. It contains 13 input parameters of the extend Skyrme interaction that define the effective interaction and that can be used in order to construct equations of state. The input parameters (columns, from left to right) and their dimensions are:  C_0 (MeV*fm^3); D_0 (MeV*fm^3); C_3 (MeV*fm^{3+3*sigma}); D_3 (MeV*fm^{3+3*sigma}); C_eff (MeV*fm^5); D_eff (MeV*fm^5); t_4 (MeV*fm^{5+3*beta}); t_5 (MeV*fm^{5+3*gamma}); x_4; x_5; sigma; beta; gamma. See the article for more details.

opencc-by-4.0Sep 2024View details →

Data set for "Understanding Older Adults' Needs: Psychosocial Wellbeing in Context of Perceived and Objective Built Environment"

This entry contains datasets for the article "Understanding Older Adults' Needs: Psychosocial Wellbeing in Context of Perceived and Objective Built Environment".

opencc-by-4.0Oct 2024View details →

As built and post heat treatment residual stresses in 316L stainless steel additively manufactured benchmark arches

The data presented is the residual stress in three orthogonal directions determined by neutron diffraction (SALSA at ILL) and synchrotron X-ray diffraction (P07 and P61A at Desy operated by Hereon). The data is for residual stress in a benchmark 316L stainless steel arches manufactured by laser powder bed fusion using MetalFAB1 and EOS M290 additive manufacturing machines. These arches are square topped with dimensions of nominally 20 mm in both the x and y direction (in plane). The overhang which creates the arch shape runs parallel to the y direction. The height of the arch is nominally 10 mm with the ligament above the over hang being of 2 mm nominal thickness.  Data for part in both an as built and after a 700 °C 2 hour heat treatment are presented. The measurement  line runs from the centre of the top surface (defined at the origin) down into the arch (defined as positive z direction). The stress-free reference used was a reference comb cut from an identically made arches. For heat treated samples, heat treated combs were used. Different gauge volume sizes and shapes were defined at each institution, all measurement locations indicate the centre of the gauge volume during each measurement. gauge volumes were: P07 200 x 200 µm2, ~1.9 mm, P61A 150 × 150 µm2 ~2.9 mm, ID15A 200 x 50 µm2 ~1.7 mm, SALSA 0.6 x 0.6 x2 mm3.