Find research datasets worth reusing

opencc-by-4.0Oct 2016View details →

Nsense v1.0 Data Set II

This data set comprises experiment carried out considering Nine Android devices, each named Copelabs1, 2, 3, 4, 5, 6, 7, 8 and 12, respectively. These devices carried by people sharing the same affiliation during their daily routines (commuting between home and office, going to leisure activities, attending meetings in the office). All the data was collected each and every one minute. We set up experiments making use of Samsung Galaxy S3 devices. For each experiment, there is the following set of data files: * SocialProximity.dat has three columns: Timestamp, DeviceName, Encounter Duration, Average Encounter Duration, Social Strength (Per hour) and Social Strength(Per minute) towards * DistanceOutput.dat has three columns: Timestamp, DeviceName, and Distance towards * Microphone.dat has two columns: Timestamp, and Sound level(QUIET, NORMAL, ALERT, and NOISY) * PhysicalActivity.dat has two columns: Timestamp, and Activity as STATIONARY, WALKING, and RUNNING The experiment was conducted for the period of 12 days from 12th September to 23rd September 2016 . All devices were carried by users sharing affiliation and following their individual daily routines.

opencc-by-4.0Sep 2017View details →

Comparing mail-in self-collected specimens sent via United States Postal Service versus clinic-collected specimens for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae in extra-genital sites data set

This data set was used to evaluate the concordance between clinic-collected extra-genital specimens and self-collected mailed-in extra-genital specimens among participants seeking sexually transmitted infection testing at a free clinic in Hollywood, CA. The newest version of the file reflects sample adequacy control (SAC) cycle threshold values for each participant.

opencc-by-4.0Dec 2017View details →

FDHMF: Experimental Loop Recirculation Data Set - 250G

Data set containing experimental results on the propagation of frequency-domain hybrid modulation formats (FDHMF) optical signals over pure silica core fiber (PSCF) inside a recirculating loop. The net bit-rate is fixed at 250G.

opencc-by-4.0Jan 2018View details →

Data set: methanol formation via oxygen insertion chemistry in ices

This data set corresponds to the experiments appearing in the article "Methanol Formation via Oxygen Insertion Chemistry in Ices" (Bergner, Oberg, & Rajappan, The Astrophysical Journal, 2017, 845:29).  Please refer to the article for experimental details & methods. The data set consists of infrared spectra from 600-4000 wavenumbers.  Each file contains the spectra taken for a single experiment. The first column holds the spectrum wavenumber values, and all subsequent columns hold the IR absorbance values for spectra taken during ice irradiation. The first row lists column headings, including the time increments (in minutes) of the irradiation spectra.  File names are formatted: "IR_N.txt" where N corresponds to the Experiment # listed in Table 1 of the corresponding article.  All details about the experiment (irradiation temperature, ice composition) can be retrieved from Table 1.

Data Set for the Journal Article "SCINE - Software for Chemical Interaction Networks"

This data archive contains all data and software described and used in the following publication: Thomas Weymuth, Jan P. Unsleber, Paul L. Türtscher, Miguel Steiner, Jan-Grimo Sobez, Charlotte H. Müller, Maximilian Mörchen, Veronika Klasovita, Stephanie A. Grimmel, Marco Eckhoff, Katja-Sophia Csizi, Francesco Bosia, Moritz Bensberg, Markus Reiher, "SCINE --- Software for Chemical Interaction Networks", in preparation. The directory structure is as follows: <ul> <li>software: contains all software used for the example exploration <ul> <li>requirements.txt: lists all Python packages needed to create the virtual environment with which the exploration has been carried out; the virtual environment was created with Python 3.6.8.</li> <li>start.py: script to initialize the database with the reactants</li> <li>step_1.py: script to create the first set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"</li> <li>step_2.py: script to create the second set of reaction trials; after having set up the trials, execute the script "start.py" with the option "continue"</li> <li>puffin_1.3.0.sif: Singularity image containing a full Puffin instance (version 1.3.0) to execute all calculations of the exploration</li> <li>submit_container.sh: script to submit the Puffin image to the queueing system</li> </ul> </li> <li>data:  contains a complete dump of the database created during the example exploration; additionally, this directory contains a script called "import.sh" which can be used to reimport the data into a MongoDB instance</li> </ul>

openApr 2024View details →

A region-wide, multi-year set of crop field boundary labels for Africa

<div> <div> Data resulting from a project undertaken to generate a comprehensive set of crop field boundary labels throughout the continent of Africa, representing the years 2017-2023. The project was funded by the <a title="" href="https://lacunafund.org/">Lacuna Fund</a>, and led by <a title="" href="https://farmerline.co/">Farmerline</a>, in collaboration with <a title="" href="https://spatialcollective.com/">Spatial Collective</a> and the <a title="" href="agroimpacts.info">Agricultural Impacts Research Group</a> at <a title="" href="https://www.clarku.edu/departments/geography/">Clark University</a>. Please refer to the technical report in the accompanying repository for more details on the methods used to develop the dataset, an analysis of label quality, and usage guidelines. </div> </div>

Data set for spectral and FT-ICR-MS analysis of dissolved organic matter in sediments of the New Britain Trench axis station

数据集包括原始数据和简单处理所需的数据、图表和文章。   表格包含样品数量、收集深度、样品名称以及相应光谱和 FT-ICR-MS 数据的名称。   例如,光谱数据包括荧光相对强度、荧光指数,而 FT-ICR-MS 光谱数据包括化合物类型相对强度以及化学式、元素比、等效双键数 (DBE) 和每个样品的芳香指数 (AImod)。

Training set

本文数据集编译版《Short-term Prediction of High- level >2 MeV Electron Fluxes at the Geosynchronous Orbit using Deep Neural Networks 》

Data set for the figures in the manuscript "Real-Time Identification of Aerosol-Phase Carboxylic Acid Production Using Extractive Electrospray Ionization Mass Spectrometry"

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ScintiPi3 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives"

ScintPi 3.0 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives" by Sousasantos et al. (2024).

Multimodal data set for the investigation of the early stage of plasticity in a polycrystalline titanium sample

This dataset is the result of several experiments to study the early stage of plasticity in a polycrystalline sample of a commercially pure alpha phase grade 2 titanium (CP-Ti family). The study aimed to achieve three critical goals: first, the acquisition of a 3D representation of the microstructure; second, the conduction of in situ measurements capturing grain-scale plasticity dynamics during a controlled tensile test; and third, a rigorous comparison of these experimental observations against the predictions derived from a microstructure-sensitive crystal plasticity simulation. This simulation was conducted on a digital twin of the titanium sample, aiming to assess the predictive accuracy of the model at the local scale. The data set was assembled from the different sources using the Pymicro package.

Supplementary File 8; The full data set derived from formal quantitative surveys of land cover types and activities of humans, livestock and wildlife (Section 2.3) that were used for the analyses described in sections 2.4, 2.5 and 2.7

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Null effect of perceived drum pattern complexity on the experience of groove (data set)

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Photos of a White Wall in Varying Illumination Settings using Sony A6400

This dataset contains photos of a plain white wall, taken with the Sony A6400 camera with the Sony SEL18135 lens, under varying exposure levels, for the purpose of parameter estimation for natural steganography. The zoom level is set 135mm (maximum) and the lens is out-of-focus. The ISO and shutter speed are manually varied to generate different exposure levels. All other settings of the camera are default. The scene is illuminated by four Four Lupa Superpanel Dualcolour LED panels placed 1.5m away from the wall, with power set to 50% and colour temperature 5600K. A detailed documentation of the creation and analysis of this dataset is published in an article titled Dataset, Noise Analysis, and Automated Parameter Estimation for Natural Steganography by Woo, Yiu, Yin, and Lai in IH&MMSec'24.

opencc-zeroMay 2024View details →

dryad36/100

VCF for neutral data set and potential connectivity matrices of Harpagifer antarcticus, along the Western Antarctic Peninsula

Connectivity is a fundamental process of population dynamics in marine ecosystems. In the last decade, with the emergence of new methods, combining different approaches to understand the patterns of connectivity among populations and their regulation has become increasingly feasible. The Western Antarctic Peninsula (WAP) is characterized by complex oceanographic dynamics, where local conditions could act as barriers to population connectivity. Here, the notothenioid fish Harpagifer antarcticus, a demersal species with a complex life cycle (adults with poor swim capabilities and pelagic larvae), was used to assess connectivity along the WAP by combining biophysical modeling and population genomics methods. Both approaches showed congruent patterns. Areas of larvae retention and low potential connectivity, observed in the biophysical model output, coincide with four genetic groups within the WAP: (1) South Shetland Islands, (2) Bransfield Strait, (3) the central, and (4) the southern area of WAP (Marguerite Bay). These genetic groups exhibited limited gene flow between them, consistent with local oceanographic conditions, which would represent barriers to larval dispersal. The joint effect of geographic distance and larval dispersal by ocean currents, had a greater influence on the observed population structure, than each variable evaluated separately. The combined effect of geographic distance and a complex oceanographic dynamic would be generating limited levels of population connectivity in the fish H. antarcticusalong the WAP. Based on this population connectivity estimations, priority areas for conservation were discussed, considering the Marine Protected Area proposed for this threatened region of the Southern Ocean.

Smart Cable Air (SCA) and Smart Cable Water (SCW) public data sets, april 2024

These datasets are supporting material for the publication "An ASIC-based system-in-package MEMS gas sensor with impedance spectroscopy readout and AI-enabled identification capabilities" by CNR-IMM Bologna, Univerisity of Pisa and Sensichips. These are some data sets as acquired to date using the Smart Cable Air and Smart Cable Water devices, for public use by data scientists and AI developers. SCA.zip contains datasets for the "Smart Cable Air" sensor: <a href="https://sensichips.com/air-sensor/">https://sensichips.com/air-sensor/</a> SCW.zip contains datasets for the "Smart Cable Water" sensor: <a href="https://sensichips.com/water-sensor/">https://sensichips.com/water-sensor/</a> The contents are described in the readme files contained in the subdirectories.

Data sets ''Origin of Intelligence: Proteinoids and Fungi''

The data from this research article ''Origin of Intelligence: Proteinoids and Fungi'' is available in Origin Pro software format for further analysis and visualization.

Case study input data set for article "Stochastic planning of energy system transformation pathways under uncertain industry demands"

The data set contains input data for the model EMPRISE of Fraunhofer Institute for Energy Economics and Energy System Technology IEE.

Automated cell annotation in scRNA-seq data using unique marker gene sets

Single-cell RNA sequencing has revolutionized the study of cellular heterogeneity, yet accurate cell type annotation remains a significant challenge. Inconsistent labels, technological variability, and limitations in transferring annotations from reference datasets hinder precise annotation. This study presents a novel approach for accurate cell type annotation in scRNA-seq data using unique marker gene sets. By manually curating cell type names and markers from 280 publications, we verified marker expression profiles across these datasets and unified nomenclatures to consistently identify 166 cell types and subtypes. Our customized algorithm, which builds on the AUCell method, achieves accurate cell labeling at single-cell resolution and surpasses the performance of reference-based tools like Azimuth, especially in distinguishing closely related subtypes. To enhance accessibility and practical utility for researchers, we have also developed a user-friendly application that automates the cell typing process, enabling efficient verification and supporting comprehensive downstream analyses. The desktop application can be accessed at <a href="https://omnibusx.com/">https://omnibusx.com</a>.

ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation - Training Set - Corner Clamp Part 1

@article{schieber2024asdf,   title={ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation},   author={Schieber, Hannah and Li, Shiyu and Corell, Niklas and Beckerle, Philipp and Kreimeier, Julian and Roth, Daniel},   journal={arXiv preprint arXiv:2403.16400},   year={2024} }