Find research datasets worth reusing

Figs 121-128 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 121-128: posterior margin of the sixth visible abdominal tergite, male genital segment, sternite of the same, aedeagus (bar scale: 0,1 mm) of Atopolinus heiwadi nov.sp. (121-124); sixth visible abdominal tergite and sternite, male genital segment, sternite of the same of Atopolinus ovaliceps (SCHEERPELTZ) (125-128).

Figs 101-107 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 101-107: posterior margin of the sixth visible abdominal tergite, male genital segment, sternite of the same, aedeagus (bar scale: 0,5 mm) of Indomorphus yunnanus BORDONI (101-104); sixth visible abdominal tergite, tergite and sternite of the male genital segment of Atopolinus hanmi nov.sp. (105-107).

Figs 95-100 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 95-100: aedeagus (bar scale: 0,1 mm) of Emathidis humerosa (BERNHAUER) (95); sixth visible abdominal tergite and sternite, tergite and sternite of the male genital segment, aedeagus (bar scale: 0,5 mm) of Indomorphus spinosus nov.sp. (96-100).

Figs 116-120 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 116-120: aedeagus (bar scale: 0,1 mm) of Atopolinus tangi nov.sp. (116-117); male genital segment, sternite of the same, aedeagus (bar scale: 0,5 mm) of Atopolinus microtergalis nov.sp. (118-120).

Figs 56-62 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 56-62: tergite, sternite of the male genital segment, aedeagus (bar scale: 0,1 mm) of Talliella sinica nov.sp. (56-58); male genital segment, sternite of the same, aedeagus (bar scal: 0,1 mm) and particular of the scales of Indolinus leigong nov.sp. (59-62).

Figs 13-18 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 13-18: aedeagus of Thyreocephalus depressus nov.sp (13) (bar scale: 0,5 mm); head and pronoum (bar scale: 1 mm), labrum, tergite, sternite of the male genital segment, aedeagus (bar scale: 0,5 mm) of Thyreocephalus pseudolorquini nov.sp. (14-18).

Figs 8-12 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 8-12: aedeagus of Thyreocephalus macrophallus nov.sp. (8) (bar scale: 0,5 mm); head and pronoum (bar scale: 1 mm), labrum, male genital segment, sternite of the same of Thyreocephalus depressus nov.sp. (9-12).

Figs 75-82 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 75-82: sixth visible abdominal sternite, tergite and sternite of the male genital segment, aedeagus (bar scale: 0,1 mm), with particular of the scales of Hypnogyra sinica nov.sp. (75-79); tergite, sternite of the male genital segment, aedeagus (bar scale: 0,1 mm) of Medhiama tibetana nov.sp. (80-82).

Figs 73-74 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 73-74: forebody of Hypnogyra henanica nov.sp. (73) and Hypnogyra sinica nov.sp (74) (bar scale: 0,5 mm).

Figs 30-34 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 30-34: head and pronoum (bar scale: 1 mm), labrum, tergite, sternite of the male genital segment, aedeagus (bar scale: 0,5 mm) of Achmonia hainanensis nov.sp.

Figs 47-55 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 47-55: sixth visible abdominal sternite, tergite and sternite of the male genital segment, aedeagus (bar scale: 0,1 mm) of Metolinus guomen nov.sp. (47-50); sixth visible abdominal tergite and sternite, tergite and sternite of the male genital segment, aedeagus (bar scale: 0,1 mm) of Metolinus lebu nov.sp. (51-55).

Figs 25-29 in New data on the Xantholinini from China. 24. New genus, new species and new records of the Shanghai Normal University collection (Coleoptera, Staphylinidae) 244° contribution to the knowledge of the Staphylinidae

Figs 25-29: head and pronoum (bar scale: 0,5 mm), labrum, tergite, sternite of the male genital segment, aedeagus (bar scale: 0,5 mm) of Achmonia manfei nov.sp.

opencc-zeroDec 2023View details →

dryad40/100

Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network

Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual's social positioning affects group dynamics, and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network's structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals' positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally, and identifies aspects of information processing in complex environments that remain to be investigated.

dryad40/100

Simulation, robot codes and figure data from collective phototactic robotectonics

The collective construction of complex architectures by social insects via stigmergy is known to be modulated by spatio-time signals that modulate and are modulated by the environment. Inspired by these observations, we show that a robot collective can successfully nucleate a construction site via a trapping instability and then cooperatively either construct organized structures or de-construct them by (modifying a single parameter associated with the pick-up action of the robot). We quantify these observations in terms of a two-dimensional phase space, encompassing agent-agent interaction (cooperation) and the agent-environment interaction (collection and deposition). Our approach to complex task execution eliminates global representation, planning or optimization/control algorithms in favor of local rules for sensing and action. We observe that collectives can leverage the environment as both a communication channel and a spatio-temporal memory, which is likely to be applicable to broader contexts associated with embodied intelligence(s).

opencc-zeroMar 2024View details →

RAYUELA - Open Data (small) Preliminary Pilots - Data collected through a serious game created to identify patterns and profiles of young potential victims/perpetrators of cybercrimes.

The data of this dataset have been collected in the pilots carried out by the RAYUELA project in different countries of the European Union. The participants are minors and the game sessions have been carried out in schools and summer camps in a supervised way. This is the first version of a larger dataset: https://doi.org/10.5281/zenodo.10604760

BIR-MicroED: selected area electron diffraction datasets from tilting microcrystals, with multiple sweeps of data collected on each crystal (Co(II) meso-tetraphenyl porphyrin) at 200 keV

<div> This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). For each crystal, multiple subsequent sweeps (passes) at the same incident flux covering the same angular range are given. Zip files are named according to the format: "CompoundName_multipass_RotationSpeed_FrameRate_SpotSize_tiltseries_Temperature.zip" Where spot size 11 = 0.01 electrons per square Angstrom per second incident flux, and spot size 10 = 0.03 electrons per square Angstrom per second incident flux Diffraction datasets within each folder are named according to the format: "CompoundName_tiltseries_AcceleratingVoltage_Temperature_IncidentFlux_crystal#sweep#.mrc" Where crystal1sweep1 and crystal1sweep2 indicate the first and second sweep of data acquired on the same crystal, respectively. </div>

BIR-MicroED: selected area electron diffraction datasets from tilting microcrystals, with multiple sweeps of data collected on each crystal (Zn(II)-histidine) at 200 keV

This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). For each crystal, multiple subsequent sweeps (passes) at the same incident flux covering the same angular range are given. Zip files are named according to the format: "CompoundName_multipass_RotationSpeed_FrameRate_SpotSize_tiltseries_Temperature.zip" Where spot size 11 = 0.01 electrons per square Angstrom per second incident flux, and spot size 10 = 0.03 electrons per square Angstrom per second incident flux Diffraction datasets within each folder are named according to the format: "CompoundName_tiltseries_AcceleratingVoltage_Temperature_IncidentFlux_crystal#sweep#.mrc" Where crystal1sweep1 and crystal1sweep2 indicate the first and second sweep of data acquired on the same crystal, respectively.

BIR-MicroED: selected area electron diffraction datasets from tilting microcrystals, with multiple sweeps of data collected on each crystal (biotin, Zn(II)-methionine) at 200 keV

opencc-by-4.0Jul 2023View details →

Dead Sea Scrolls data collection (images, labels, prediction plots) for dating ancient manuscripts using radiocarbon and AI-based writing style analysis

The dataset is associated with the following article: Title: Dating ancient manuscripts using radiocarbon and AI-based writing style analysis Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, and Eibert Tigchelaar (Under review) This data set is collected for the ERC project: The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls PI: Mladen Popović Grant agreement ID: 640497 Project website: <a href="https://cordis.europa.eu/project/id/640497">https://cordis.europa.eu/project/id/640497</a>   Copyright (c)     University of Groningen, 2024. All rights reserved. Disclaimer and copyright notice for all data contained on the *.tar.gz files: 1) permission is hereby granted to use the data for research purposes. It is not allowed to distribute this data for commercial purposes. 2) provider gives no express or implied warranty of any kind, and any implied warranties of merchantability and fitness for purpose are disclaimed. 3) provider shall not be liable for any direct, indirect, special, incidental, or consequential damages arising out of any use of this data. 4) the user should refer to the first public article mentioned above on this data set. 5) the recipient should refrain from proliferating the data set to third parties external to his/her local research group. Please refer interested researchers to this site to obtain their own copy.   Organization of the data: (Update on 19 April 2024: OxCal data for accepted 2-sigma ranges are updated with the incusion and exclusion of minor peaks. New prediction plots are added after the model is trained with accepted 2-sigma ranges, including minor peaks. The old plots are also kept.  <OLD Updates below; disregard> updated on 07-Feb-2024: OxCal data for selected ranges added in a new directory in addition to previously available original OxCal data. Enoch's prediction plots and test images are reorganized for easy access to the users. <OLD Updates above; disregard> Please use the files from this version and disregard the previous two versions: 10.5281/zenodo.10629480 and 10.5281/zenodo.8168210) There are four *.tar.gz files: C14-Oxcal-data-updated.tar.gz contains one directory with radiocarbon data (OxCal [1] raw data) for all 30 manuscripts. Three additional directories contain name-corrected files for original OxCal data, files with accepted ranges, and files with accepted ranges including minor peaks. Please refer to the original article for details about OxCal data and the manuscripts. 25 out of 30 raw OxCal data are used (accepted ranges only) as the training labels during the training of Enoch, the date prediction model. train-images-c14.tar.gz contains the clean and preprocessed (binarized, aligned, and arrangement corrected) training images for the 25 radiocarbon-dated training manuscripts (including 4Q52; 64 images in total).  test-images-all.tar.gz contains the clean and preprocessed test images for 135 previously undated manuscripts. The images are organized in three different directories: the first one with all 359 images for the 135 manuscripts, the second one with the selected 135 images, and the final one with 25 images to illustrate the poor quality of images.  Enoch-prediction-new-with-minor-peaks.tar.gz contains the new date prediction plots for each of the 135 test images,  where Enoch was trained with the inclusion of minor peaks for the 2-sigma accepted ranges and with a data balancing threshold of 0.05. These plots are used by expert palaeographers' evaluation of Enoch's style-based date predictions of 135 previously undated manuscripts. Enoch-predictions.tar.gz contains the date prediction plots for each of the 135 test images. There are two directories inside the *.tar.gz file: - prediction-plots-for-selected-135: Prediction plots with data balancing threshold of 0.05.  - extra-plots: contains four additional directories:      - Enoch-predictions-c14wo4Q52-balanced05: Prediction plots with data balancing threshold of 0.05.       - Enoch-predictions-c14wo4Q52-balanced10: Prediction plots with data balancing threshold of 0.1.      - Enoch-predictions-c14wo4Q52-unbalanced: Unbalanced raw predictions.      - Enoch-predictions-c14wo4Q52-combined: Combined plots with all three prediction plots (unbalanced, 0.05, 0.1). Please refer to the original article for more details. The updated code to run the plot is available here: <a href="https://doi.org/10.5281/zenodo.10998860">https://doi.org/10.5281/zenodo.10998860</a> If you have any questions, please get in touch with us: Mladen Popović <m.popovic(at)rug.nl> Maruf A. Dhali <m.a.dhali(at)rug.nl> Lambert Schomaker <l.r.b.schomaker(at)rug.nl>   References: 1. Bronk Ramsey, C. (2001). Development of the radiocarbon calibration program. Radiocarbon, 43(2A), 355-363.

Research Data - Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures

Source data from ferromagnetic resonance experiments and micromagnetic simulations in tetmag software (<a href="https://github.com/R-Hertel/tetmag">https://github.com/R-Hertel/tetmag</a>), used in the paper "Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures" in ACS Applied Materials & Interfaces (<a href="https://doi.org/10.1021/acsami.4c02366">https://doi.org/10.1021/acsami.4c02366</a>).