Find research datasets worth reusing

FIGURES 27–33 in A new tropical montane firefly genus and species, active during winter and endemic to the southeastern Atlantic Rainforest (Coleoptera: Lampyridae)

FIGURES 27–33 Araucariocladus hiems sp. nov., male abdomen: 27, terga I–VI dorsal; 28, syntergite, dorsal; 29, sternum IX, ventral; 30, sternum VIII and pygidium, ventral; 31–33 aedeagus, 31, dorsal, 32, lateral, 33, ventral. Scale bar: 1.0 mm (27), 0.5 mm (28–30), 0.2 mm (31–33).

FIGURES 3–13 in A new tropical montane firefly genus and species, active during winter and endemic to the southeastern Atlantic Rainforest (Coleoptera: Lampyridae)

FIGURES 3–13 Araucariocladus hiems sp. nov.: 4–7, male head overview, 3, dorsal; 4, ventral; 5, lateral; 6, frontal; 7, posterior; 8–9, mandible; 10, antenna; 11–13, frontal tentoria, detail, 11, frontal; 12, lateral; 13, dorsal. Scale bar: 0.5 mm (3–9), 2.0 mm (10), 0.5 mm (11–13).

FIGURES 21–26 in A new tropical montane firefly genus and species, active during winter and endemic to the southeastern Atlantic Rainforest (Coleoptera: Lampyridae)

FIGURES 21–26 Araucariocladus hiems sp. nov., pterothorax and associated structures: 21, dorsal; 22, ventral; 23, lateral; 24, elytron ventral; 25, left wing; 26 pro, meso and metalegs (top-down). Scale bar: 1.0 mm (21–23), 2.0 mm (24–26).

FIGURES 1–2 in A new tropical montane firefly genus and species, active during winter and endemic to the southeastern Atlantic Rainforest (Coleoptera: Lampyridae)

FIGURES 1–2. Araucariocladus hiems sp. nov.: 1, male dorsal habitus; 2, ventral. Scale bar: 2.0 mm (1–2).

FIGURES 14–20 in A new tropical montane firefly genus and species, active during winter and endemic to the southeastern Atlantic Rainforest (Coleoptera: Lampyridae)

FIGURES 14–20 Araucariocladus hiems sp. nov., prothorax: 14, pronotum dorsal; 15, ventral; 16, frontal; 17, posterior; 18, lateral; 19, prosternum dorsal, 20, ventral. Scale bar: 0.5 mm (14–20).

opencc-by-4.0Apr 2017View details →

Pro-inflammatory activation of primary microglia and macrophages increases 18kDa Translocator Protein (TSPO) expression in rodents but not humans

<p>Data underpinning JCBFM paper entitled: Pro-inflammatory activation of primary microglia and macrophages increases 18kDa Translocator Protein (TSPO) expression in rodents but not humans</p>

opencc-by-4.0May 2017View details →

Dataset WP4 P1.2. IBC evaluation activities

<p>Evaluation demo ImmersiaTV</p>

opencc-by-4.0May 2017View details →

Plasma parameters and geometry of cool and warm active region loops

<p>Additional plots for the paper "Plasma parameters and geometry of cool and warm active region loops", 2017, ApJ</p>

opencc-by-4.0Aug 2024View details →

Research Data for FiHi: Fusion of inertial and high-resolution acoustic data for privacy-preserving human activity recognition

<h1><strong>Description</strong></h1> <div>This dataset contains information on 20 different activities collected from 15 participants (20-55 years old) using Wit-motion smart inertial sensors and Double Acoustics guitar pickups. Each participant performs these daily activities in an unrestricted environment, with each activity lasting at least 60 seconds and repeated twice.</div> <div> </div> <div>If you use the dataset in an academic work, please cite: </div> <div> </div> <div><code>@ARTICLE{10980212,</code><br><code>  author={Yang, Zhe and Zhang, Ying and Li, Yanjun and Huang, Linchong and Hu, Ping and Lin, Yuexiang},</code><br><code>  journal={IEEE Transactions on Instrumentation and Measurement}, </code><br><code>  title={Fusion of Inertial and High-resolution Acoustic Data for Privacy-Preserving Human Activity Recognition}, </code><br><code>  year={2025},</code><br><code>  volume={74},</code><br><code>  number={},</code><br><code>  pages={1-20},</code><br><code>  keywords={Human activity recognition;Sensors;Acoustics;Feature extraction;Privacy;Microphones;Biomedical monitoring;Wireless fidelity;Sensor phenomena and characterization;Sensor fusion;Human activities recognition;inertial sensing;Hi-res audio;attention mechanism},</code><br><code>  doi={10.1109/TIM.2025.3565250}}</code></div> <h1><strong>DataSet Information</strong></h1> <h2><strong>1.Original_data.zip</strong></h2> <div>The data was annotated by manually reviewing the audio clips and assigning appropriate activity labels. Timestamping the inertial sensor data with the start time of the audio device recorded by the experimenter ensured correct segmentation and synchronization of the inertial and acoustic data. The total data length for</div> <div>all participants is over 10 hours.</div> <h3><strong>(1) </strong><strong>IMU</strong><strong> DATA</strong></h3> <div>The inertial data (accelerometer and gyroscope) is sampled at 100 Hz and transmitted by Bluetooth to the host computer. These reviewed and annotated original samples from 15 participants are placed in separate csv files. The arrangement of information in each csv file is:</div> <div>Col 1-3: 3D-acceleration data (g)</div> <div>Col 4-6: 3D-gyroscope data (°/s)</div> <h3><strong>(2) Audio DATA</strong></h3> <div>The acoustic data are sampled at 192 kHz by a Steinberg sound card and transmitted by USB cable to the host computer. These original samples are placed in separate wav files, with each file name containing all the necessary information regarding the contents of the file.</div> <div><strong>For example:</strong></div> <div>100801_sitting</div> <div>Participant ID (1-4 digits): 1008, Session ID (5-6 digits): 01, Activity ID: sitting.</div> <div> </div> <h2><strong>2、Processed_data.zip</strong></h2> <div>The last two columns of each file are as follows:</div> <ul> <li> <div>participant_id: such as 100101, 100102, 100201 ...... The last two digits are the Session ID, representing the two sessions from the same participant for the same activity.</div> </li> <li> <div>activity_id: Refer to the ACTIVITY SET below</div> </li> </ul> <h3><strong>(1) </strong><strong>IMU</strong><strong> DATA</strong></h3> <div>The original inertial data is individually aligned with the processed Audio data based on their start times, with any excess data rows at the end being trimmed. Then, these inertial data files are augmented with activity_id and participant_id for identification, and consolidated into a single csv file.</div> <div>The continuous motion signal is segmented into sliding windows, each with a duration of 3 seconds and a step size of 3 seconds. Given the IMU’s sampling rate of 100 Hz, each window of inertial data consists of 300 time steps, with 6 channels of information (3 axes each for accelerometer and gyroscope). Consequently, a single inertial sample is represented by a 300 × 6 dimensional matrix.</div> <h3><strong>(2) Audio DATA</strong></h3> <div>The acoustic signals are processed using the Short Time Fourier Transform (STFT) with a window length of 1024 points and an overlap of 256 points, , which generates n linear spaced frequency bins between n kHz frequency range in the frequency domain. The output contains the estimate of the short-term, time-localized frequency patterns. We examine two levels of privacy protection: 8 &sim; 96 kHz for non-speech sound and 20 &sim; 96 kHz for inaudible sound, with 88 and 76 linear spaced frequency bins, respectively.</div> <div>Under a sample rate of 192 kHz for the original acoustic signal, there are (192000 - 256)/(1024 - 256) ≈ 250 frequency features within a second, while each feature has 88 and 76 dimensions for non-speech (8&sim;96 kHz) and inaudible (20&sim;96 kHz) feature, respectively.</div> <h1><strong>ACTIVITY </strong><strong>SET</strong></h1> <div>The activityIDs and corresponding activities are listed in the following:</div> <div>0: use microwave</div> <div>1: brush teeth</div> <div>2: browse video</div> <div>3: drink water</div> <div>4: fry</div> <div>5: lie down</div> <div>6: flush</div> <div>7: go downstairs</div> <div>8: go upstairs</div> <div>9: sit</div> <div>10: stand</div> <div>11: manipulate door</div> <div>12: type</div> <div>13: jump</div> <div>14: run</div> <div>15: walk</div> <div>16: wash hands</div> <div>17: write</div> <div>18: operate light</div> <div>19: eat</div>

opencc-by-nc-4.0Aug 2024View details →

Neutron activation analysis data of pottery from Ziyaret Tepe, Turkey

<p>Neutron activation analysis data of pottery from Ziyaret Tepe, Diyarbakır Province, Turkey.</p>

opencc-by-4.0Dec 2019View details →

Ionosphere-thermosphere data published in 'The 2D evolution of thermospheric ∑O/N2 response to weak geomagnetic activity during solar-minimum observed by GOLD'

This dataset was used to generate plots for a paper in the Geophysical Research Letter, an AGU journal. It includes the percentage difference of column density ratio of O/N2 between quiet time (DOY 153 in 2019) and weak geomagnetic activity time (DOY 156 in 2019), together with the meridional wind, zonal wind, meridional component and the zonal component of E cross B drift at pressure level -1.375 (160-170 km).

opencc-by-4.0Dec 2019View details →

Data for the figures in paper 'Variations in thermosphere composition and ionosphere total electron content under extremely weak geomagnetic activity conditions at solar-minimum'

This data set include the simulated percentage difference of O to N2 column density ratio between DOY 111 and 110 (Figure 3 of paper), and the absolute difference of neutral wind vector at pressure level -1.375 (Figure 3 of paper).They are from 0:10 UT to 23:55 UT on DOY 111 in 2019 with a temporal resolution of 15-min. And the absolute difference of diagnostic terms (horizontal advection, vertical advection and molecular diffusion) of O at pressure level -1.375 at 13:10 UT (Figure 4 of the paper)

opencc-by-4.0Mar 2024View details →

Supplementary Material for The Impact of COVID-19 on Open Source Development Activities: A Multi-Method Study

<p><strong>Context:</strong> The social isolation measures resulting from the COVID-19 outbreak changed work practices in various sectors, especially with the shift to working from home. However, it is still unclear the implications of the pandemic on the maintenance and evolution of open-source software (OSS). Objective: In this study, we analyze the effects of COVID-19 on the development activity of OSS and how social isolation changed the productivity and emotional state of OSS contributors. <strong>Method:</strong><br>To investigate this issue, we have conducted a multi-method study. We first quantitatively investigated how the COVID-19 outbreak impacted the development activity of open-source projects by mining the development history of 155 open-source projects. We then qualitatively investigated the perceptions of open-source core developers about the impact of COVID-19 on their activities, using a survey as an instrument. <strong>Results:</strong> Our results indicate that the pandemic led to some effect on the development<br>activity of OSS repositories, especially in the early days of the outbreak. For instance although we observe an increase in the number of pull requests accepted, our results also indicate a sudden increase in the turnover rate of core developers. However, a few months after the declaration of the current pandemic, our results suggest stabilization in these metrics. Other effects were more far-reaching, such as a decrease in newcomers throughout the observed period after the pandemic was declared. Some findings are supported by the results of our qualitative study, whose results indicate that most of the respondents of our survey consider that COVID-19 did not change their productivity substantially. <strong>Conclusions:</strong> Our findings can help practitioners and researchers to better understand the effect of COVID-19 on the software engineering field.</p>

opencc-by-nc-4.0Oct 2023View details →

Activation of 2D cobalt hydroxide with 0D cobalt oxide decoration for microplastics degradation and hydrogen evolution

<p>See the paper:</p><p> </p><p>Greco, R.; Baxauli-Marin, L.; Temerov, F.; Daboczi, M.; Eslava, S.; Niu, Y.; Zakharov, A.; Zhang, M.; Li, T.; Cao, W. <i>Chem. Eng. J.</i> <strong>2023</strong>, 471, 1144569</p><p> </p><p>The authors acknowledge MAX IV Laboratory for time on Beamline [MAXPEEM] under Proposal [20210172]. Research conducted at MAX IV, a Swedish national user facility, is supported by the Swedish Research council under contract 2018-07152, the Swedish Governmental Agency for Innovation Systems under contract 2018-04969, and Formas under contract 2019-02496.</p>

opencc-by-4.0Oct 2023View details →

Sequence-independent, site-specific incorporation of chemical modifications to generate light-activated plasmids (Source Data)

<p>Source data for Chemical Science paper "Sequence-independent, site-specific incorporation of chemical modifications to generate light-activated plasmids" DOI: 10.1039/D3SC02761A</p>

opencc-by-4.0Oct 2023View details →

Atomistic ensemble of active SHP2

<p>SHP2 phosphatase plays an important role in regulating several intracellular signaling pathways. Pathogenic mutations of SHP2 cause developmental disorders and are linked to hematological malignancies and cancer. This dataset contains the atomistic ensemble of the constitutively active E76K mutant of SHP2 generated by molecular dynamics simulations in solution and validated by accurate explicit-solvent SAXS curve predictions.</p>

Data for "Solving the OH + glyoxal problem: A complete theoretical description of post transition state energy deposition in activated systems."

Open the record for dataset details and reuse information.

Supplementary data for "Transient wave activity in snow avalanches is controlled by entrainment and topography"

<p>We are releasing the data of Figs. 2,4&5 in our manuscript submitted to Communications Earth & Environment.</p>

Supporting data set for: Sulfur-deficient edges as active sites for hydrogen evolution on MoS2

<p>Computed structures of the elementary steps of hydrogen evolution on MoS2 edges and basal plane, obtained with neutral supercells.</p><p>Naming convention: POSCAR-[system]-[number of H after Volmer step]-[reaction]-[state].</p>

S Figure 1. Maximum Photosynthetically Active Radiation (PAR) during the experiments in the HTP platform, for A) batch 1 (1 July – 5 August 2021; 87 – 122 DAS) and B) batch 2 (7 August – 6 September 2021; 92 – 123 DAS)

<p>The figure is presented in a figure (S Figure 1.<strong> </strong>Maximum Photosynthetically Active Radiation (PAR) during the experiments in the HTP platform, for A) batch 1 (1 July – 5 August 2021; 87 – 122 DAS) and B) batch 2 (7 August – 6 September 2021; 92 – 123 DAS) as supplement of a manuscript in MDPI <i>Agronomy | </i>Special Issue<i> "Novel Insights into Abiotic Stress Tolerance of Crops" </i>journal. </p>