Find research datasets worth reusing

opencc-by-4.0Dec 2024View details →

Synthetic dataset from - Bar et al., Sifting through the haystack - efficiently finding rare behaviors in large-scale datasets, WACV 2025

This is a synthetic dataset emulating pose estimation data, introduced in the associated paper.  Briefly, each sample in the dataset is a sequence of 5-keypoints with 9 timesteps. Movement of each keypoint in time is determined by a sinus with some amplitude A and some frequency f, this is loosely inspired by larval zebrafish swimming movement.  There are two types of behaviors - a common behavior (aka forming the majority of the samples in the dataset) where the frequency of the sinus is larger than the amplitude, and a rare one where the amplitude is larger than the frequency.  We vary the similarity between the rare and common behaviors by relaxing the standard deviation of the gaussian from which we draw these movement parameters (behavior similarity, sd= [0.5, 1.5, 2.5, 5]). We also test different levels of data imbalance, varying the frequency of the rare behavior (rarity=[1.5%,5%,12%,24%]).  Thus we created 16 datasets with all possible combinations. The data generation code will become available in our code repository: https://github.com/shir3bar/SiftingTheHaystack The data was used to create a controlled experimental sandbox in which we could test our pipeline for detecting rare behaviors. Sounds interesting? Read our paper and check out the code :)

opencc-by-4.0May 2024View details →

Bilateral integration in somatosensory cortex is controlled by behavioral relevance

Sensory perception naturally requires processing stimuli from both sides of the body. Yet, how neurons bind stimulus features across the hemispheres to create a unified perceptual experience remains unknown. To address this question, we performed large-scale recordings from neurons in both somatosensory cortices (S1) while mice shared information between their hemispheres and discriminated between two categories of bilateral stimuli. When expert mice touched stimuli associated with reward, they moved their whiskers with greater bilateral symmetry. During this period, synchronous spiking and enhanced spike-field coupling emerged between the hemispheres. This coordinated activity was absent in stimulus-matched naïve animals, indicating that interhemispheric (IH) binding was controlled by a goal-directed, internal process. In S1 neurons, the addition of ipsilateral touch primarily facilitated the contralateral, principal whisker response. This facilitation primarily emerged for reward-associated stimuli and was lost on trials where expert mice failed to respond. Taken together, these results reveal a novel state-dependent logic underlying bilateral integration in S1, where stimulus binding and facilitation are controlled by behavioral relevance.

opencc-by-4.0Sep 2024View details →

Realistic Ab Initio Predictions of Excimer Behavior under Collective Light-Matter Strong Coupling - Dataset

Dataset complement to "Realistic Ab Initio Predictions of Excimer Behavior under Collective Light-Matter Strong Coupling" - includes outputs obtained using the <a href="https://etprogram.org/development-website/">eT program</a>, an open-source electronic (and molecular-polaritonic) structure program, and VIBROT  (OpenMolcas).   See the paper at <a href="https://journals.aps.org/prx/abstract/10.1103/PhysRevX.15.021040">https://journals.aps.org/prx/abstract/10.1103/PhysRevX.15.021040</a>

openapache2.0Jul 2024View details →

A Study of Undefined Behavior Across Foreign Function Boundaries in Rust Libraries

Developers rely on the static safety guarantees of the Rust programming language to write secure and performant applications. However, Rust is frequently used to interoperate with other languages which allow design patterns that conflict with Rust’s evolving aliasing models. Miri is currently the only dynamic analysis tool that can validate applications against these models, but it does not support finding bugs in foreign functions, indicating that there may be a critical correctness gap across the Rust ecosystem. We conducted a large-scale evaluation of Rust libraries that call foreign functions to determine whether Miri’s dynamic analyses remain useful in this context. We used Miri and an LLVM interpreter to jointly execute applications that call foreign functions, where we found 46 instances of undefined or undesired behavior in 37 libraries. Three bugs were found in libraries that had more than 10,000 daily downloads on average during our observation period, and one was found in a library maintained by the Rust Project. Many of these bugs were violations of Rust’s aliasing models, but the latest Tree Borrows model was significantly more permissive than the earlier Stacked Borrows model. The Rust community must invest in new, production-ready tooling for multi-language applications to ensure that developers can detect these errors.

opencc-by-4.0Nov 2011View details →

Fig. 2 in Feeding and social behavior of the piabanha, Brycon devillei (Castelnau, 1855) (Characidae: Bryconinae) in the wild, with a note on following behavior

Fig. 2. Mean values of proportion of time expressing different foraging tactics by Brycon devillei for each season in the RPSP, between July 2006 and April 2009.

opencc-by-4.0Nov 2011View details →

Fig. 3 in Feeding and social behavior of the piabanha, Brycon devillei (Castelnau, 1855) (Characidae: Bryconinae) in the wild, with a note on following behavior

Fig. 3. Two individuals of Brycon devillei aligned sideways to the timburé, Leporinus garmani, on a sand bank in the rio Preto channel. Photo by P. G. Azevedo.

Polyphenols' Inflammation-mediated Deglucuronidation and Promiscuous-binding Behavior for Antiviral Assaying and Trialing

Dataset based on EMSKE Phytochem's pre-existing library of more than 250 Pubchem compounds that supports the research work Polyphenols’ Inflammation-mediated Deglucuronidation and Promiscuous-binding Behavior for Antiviral Assaying and Trialing. It refers to Jasial et al. 2016's dataset uploaded to Zenodo,  Jasial, S.; Hu, Y.; Bajorath, J. PubChem Compounds Tested in Primary and Confirmatory Assays, 2016 located at https://doi.org/10.5281/zenodo.44593 , which itself supports their work Jasial et al 2017:  Jasial, S.; Hu, Y.; Bajorath, J. Determining the Degree of Promiscuity of Extensively Assayed Compounds. PLOS ONE 2016, 11 (4), e0153873. https://doi.org/10.1371/journal.pone.0153873.

opencc-by-4.0Sep 2021View details →

Japanese Black Beef Cow Behavior Classification Dataset

Licensed under: Attribution-NonCommercial-NoDerivatives 4.0 International <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</a> Japanese Black Beef Cow Behavior Classification Dataset This dataset contains tri-axial accelerometer sensor data with thirteen different labeled cow behaviors. This data was gathered with a 16bit +/- 2g Kionix KX122-1037 accelerometer attached to the neck of six different Japanese Black Beef Cows (`cow1.csv`-`cow6.csv`) at a cow farm of Shinshu University in Nagano, Japan on the 12th of June, 2020. The data gathering took place over the course of one day in which the cows were allowed to roam freely in two different areas, namely, a grass field and farm pens, while being filmed with Sony FDR-X3000 4K video cameras. The timestamps of the video and accelerometer data were matched while human observers which included behavior experts and non-experts labeled the data from the video footage. The labeling and data gathering took a total of 69 person-hours. 567 minutes of unlabeled data were parsed into 197 minutes of high-quality labeled data comprising thirteen behaviors by means of majority voting with three annotators. The time per behavior in number of samples (@25Hz) and their respective descriptions are shown in the following table: <table> <thead> <tr> <th scope="col"> </th> <th scope="col">Cow 1</th> <th scope="col">Cow 2</th> <th scope="col">Cow 3</th> <th scope="col">Cow 4</th> <th scope="col">Cow 5</th> <th scope="col">Cow 6</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>RES</td> <td>35814</td> <td>47059</td> <td>20501</td> <td>15735</td> <td>11025</td> <td>19996</td> <td>Resting in standing position</td> </tr> <tr> <td>RUS</td> <td>1620</td> <td>25930</td> <td>11156</td> <td>14523</td> <td>0</td> <td>0</td> <td>Ruminating in standing position</td> </tr> <tr> <td>MOV</td> <td>6376</td> <td>8437</td> <td>7532</td> <td>17248</td> <td>4846</td> <td>5760</td> <td>Moving</td> </tr> <tr> <td>GRZ</td> <td>2416</td> <td>2199</td> <td>0</td> <td>2707</td> <td>2442</td> <td>7849</td> <td>Grazing</td> </tr> <tr> <td>SLT</td> <td>204</td> <td>0</td> <td>10654</td> <td>0</td> <td>0</td> <td>0</td> <td>Salt licking</td> </tr> <tr> <td>FES</td> <td>6809</td> <td>0</td> <td>0</td> <td>0</td> <td>1125</td> <td>0</td> <td>Feeding in stanchion</td> </tr> <tr> <td>DRN</td> <td>1176</td> <td>0</td> <td>1300</td> <td>0</td> <td>0</td> <td>0</td> <td>Drinking</td> </tr> <tr> <td>LCK</td> <td>0</td> <td>0</td> <td>649</td> <td>297</td> <td>0</td> <td>356</td> <td>Licking</td> </tr> <tr> <td>REL</td> <td>0 </td> <td>360</td> <td>0</td> <td>404</td> <td>0</td> <td>0</td> <td>Resting in lying position</td> </tr> <tr> <td>URI</td> <td>239</td> <td>0</td> <td>383</td> <td>0</td> <td>0</td> <td>0</td> <td>Urinating</td> </tr> <tr> <td>ATT</td> <td>57</td> <td>50</td> <td>0</td> <td>62</td> <td>0</td> <td>197</td> <td>Attacking</td> </tr> <tr> <td>ESC</td> <td>0</td> <td>0</td> <td>0</td> <td>128</td> <td>0</td> <td>0</td> <td>Escaping</td> </tr> <tr> <td>BMN</td> <td>0</td> <td>54</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>Being mounted</td> </tr> <tr> <td>ETC</td> <td>105917</td> <td>103084</td> <td>129297</td> <td>62064</td> <td>53922</td> <td>100571</td> <td>Other behaviors</td> </tr> <tr> <td>BLN</td> <td>151249</td> <td>82599</td> <td>88431</td> <td>111744</td> <td>61544</td> <td>45128</td> <td>Data without video, no label</td> </tr> <tr> <td>Sum</td> <td>311876</td> <td>269772</td> <td>269903</td> <td>224912</td> <td>134904</td> <td>179857</td> <td> </td> </tr> </tbody> </table> Accelerometer sampling rate was set to 25Hz. The data is split into six .csv files which represents each of the 6 cows above. The columns of these files are defined as follows: <table> <thead> <tr> <th scope="col">TimeStamp_UNIX [-]</th> <th scope="col">TimeStamp_JST [-]</th> <th scope="col">AccX [g]</th> <th scope="col">AccY [g]</th> <th scope="col">AccZ [g]</th> <th scope="col">Label [-]</th> </tr> </thead> <tbody> <tr> <td>GPS timestamp in UNIX</td> <td>GPS timestamp in JST</td> <td>X-axis acceleration</td> <td>Y-axis acceleration</td> <td>z-axis acceleration</td> <td>labeled behavior</td> </tr> </tbody> </table> The gathering of this data with these cows was reviewed and approved by the Institutional Animal Care and Use Committee of Shinshu University. Version History v1.0.0: Release on 24th of September, 2021. First version. v2.0.0: This version. UNIX and Japan Standard Time (JST) time stamps are added for each .csv file of cow1-6. Added explanations of behaviors for ETC and BLN. More information on publications that use this dataset, data logger software that has been developed for this project. Data logger open source software Software developed for the data logger that was used to gather this dataset, Sony's IoT development board SPRESENSE, CXD5602PWBMAIN1. The function of this data logger is to write inertia sensor data along with timestamps. Timestamp data is corrected with GPS signal. Available in Arduino development environment. <a href="https://zenodo.org/record/5848608#.YeFF9NHP3Z8">https://zenodo.org/record/5848608#.YeFF9NHP3Z8</a> Publications using this dataset <a href="https://ieeexplore.ieee.org/abstract/document/9566833">[1] Li, Chao, et al. "Data Augmentation for Inertial Sensor Data in CNNs for Cattle Behavior Classification." IEEE Sensors Letters 5.11 (2021): 1-4.</a> <a href="https://ieeexplore.ieee.org/abstract/document/9401342">[2] Bartels, Jim, et al. "A 216 microW, 87% Accurate Cow Behavior Classifying Decision Tree on FPGA With Interpolated Arctan2." 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021.</a>

Figures 7–8. Aporus hirsutus prey transport. 7 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figures 7–8. Aporus hirsutus prey transport. 7) Aporus hirsutus female dragging Aptostichus simus juvenile backwards across sand, grasping end of its right foreleg with her mandibles. Sandy coastal back dunes, Santa Barbara County, CA; 17 June 2015; A. Abela. Photograph © Alice Abela. 8) Aporus hirsutus female dragging Aptostichus simus juvenile backwards across sand, grasping tibia of its 2nd left leg with her mandibles. The wasp's wings are folded on her dorsum, sandy coastal back dunes, Santa Barbara County, CA; 17 June 2015; A. Abela. Photograph © Alice Abela.

Figure 10 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figure 10. Aporus (Plectraporus) hirsutus (Banks) antenna orbit/socket position (Wasbauer and Kimsey 1985, this study).

Figures 1–2. Aporus hirsutus and Aptostichus simus. 1 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figures 1–2. Aporus hirsutus and Aptostichus simus. 1) Aporus hirsutus resting on sand, digging in sand, sandy coastal back dunes, Santa Barbara County, CA; 12 June 2014; A. Abela. The species name "hirsutus" refers to the hairiness of the body. Species identification structures include short antennae and forelegs, quasi-triangular flattened head, elongate pronotum, swollen forefemur and foretibia, thick foretarsal rake spines, and only two submarginal cells in forewing. The concave back of the head, not seen to this degree in other Nearctic Aporus species, fits snugly against the front of the convex pronotum, enabling the wasp to tunnel unobstructed through sand. Photograph © Alice Abela. 2) Aptostichus simus female on sand, Montaña de Oro State Park, San Luis Obispo County, CA; 8 June 2014; A. Abela. Females lack obvious distinguishing external morphological features, except for sharply delineated patch of endite cuspules on abdominal venter. All Aptostichus species have psammophilous body coloration (Bond 2012). Photograph © Alice Abela.

Figure 9 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figure 9. Aptostichus species California geographic distribution (from Bond 2012) and Aporus (Plectraporus) hirsutus (Banks) geographic range (Wasbauer and Kimsey 1985; this study).

Figures 5–6. Aporus hirsutus hunting behavior. 5 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figures 5–6. Aporus hirsutus hunting behavior. 5) Aporus hirsutus female digging into sand, using her mandibles and foretarsal digging rake, apparently searching for host Aptostichus simus, sandy coastal back dunes, Santa Barbara County, CA; 12 June 2014; A. Abela. Photograph © Alice Abela. 6) Aptostichus simus trapdoor being propped open by a twig. Note the flimsy silk and sand consistency of the trapdoor and sides of entrance, Montaña de Oro State Park, San Luis Obispo, CA; 5 July 2020; A. Abela. Photograph © Alice Abela.

Figures 3–4. Aporus hirsutus adult feeding. 3 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figures 3–4. Aporus hirsutus adult feeding. 3) Aporus hirsutus female taking nectar from flowers of Eriogonum parvifolium, Vandenberg Air Force Base, Santa Barbara County, CA; 6 August 2014; A. Abela. Photograph © Alice Abela. 4) Aporus hirsutus female with immobilized Aptostichus simus, immature, on sand, Surf Beach at Vandenberg Air Force Base, Santa Barbara County, CA; 28 March 2015; A. Abela. The wasp appressed her mouthparts and basal antennal segments to the paralyzed prey and, apparently, used this individual only for adult feeding. Photograph © Alice Abela.

Figure 11 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)

Figure 11. Aporus (Plectraporus) hirsutus (Banks) degree of body hairiness (Wasbauer and Kimsey 1985; this study).

opencc-zeroJan 2022View details →

Data from: Virus infection and host plant suitability affect feeding behaviors of cannabis aphid (Hemiptera: Aphididae), a newly described vector of potato virus Y

Aphids are the most prolific vectors of plant viruses resulting in significant yield losses to crops worldwide. Potato virus Y (PVY) is transmitted in a non-persistent manner by 65 species of aphids. With the increasing acreage of hemp (Cannabis sativa L.) (Rosales: Cannabaceae) in the U.S, we were interested to know if the cannabis aphid (Phorodon cannabis Passerini) (Hemiptera: Aphididae) is a potential vector of PVY. Here, we conduct transmission assays and utilize the electrical penetration graph (EPG) technique to determine whether cannabis aphids can transmit PVY to hemp (host) and potato (non-host) (Solanum tuberosum L.) (Solanales: Solanaceace). We show for the first time that the cannabis aphid is an efficient vector of PVY to hemp (96%) and potato (91%) using cohorts of aphids. In contrast, individual aphids transmitted the virus more efficiently to hemp (63%) compared to potato (19%). During the initial 15 minutes of EPG recordings, aphids demonstrated lower number and time spent performing intracellular punctures on potato compared to hemp, which may in part explain low virus transmission to potato using individual aphids. During the entire 8-hour recording, viruliferous aphids spent less time ingesting phloem compared to non-viruliferous aphids on hemp. This reduced host suitability could potentially cause aphids to disperse to more suitable hosts thereby increasing virus transmission. Overall, our study shows that cannabis aphid is an efficient vector of PVY, and that virus infection and host plant suitability affect feeding behaviors of the cannabis aphid in ways which may increase virus transmission.

opencc-by-4.0Jan 2022View details →

Supplementary Data: A peer-to-peer market mechanism incorporating multi-energy coupling and cooperative behaviors

This dataset is the supplementary dataset for the case study used in the journal article (<a href="https://doi-org.tudelft.idm.oclc.org/10.1016/j.apenergy.2022.118572">https://doi.org/10.1016/j.apenergy.2022.118572</a>): A peer-to-peer market mechanism incorporating multi-energy coupling and cooperative behaviors   Before using the dataset, please 1. refer to the article for the details of the data used in the case study, 2. read README.txt for the structure of the dataset.   Please also kindly cite the journal article when using the dataset.

opencc-zeroFeb 2022View details →

Behavioral performance and division of labor influence brain mosaicism in the leafcutter ant Atta cephalotes

Brain evolution is hypothesized to be driven by behavioral selection on neuroarchitecture. We developed a novel metric of relative neuroanatomical investments involved in performing tasks varying in sensorimotor and processing demands across polymorphic task-specialized workers of the leafcutter ant Atta cephalotes and quantified brain size and structure to examine their correlation with our computational approximations. Investment in multi-sensory and motor integration for task performance was estimated to be greatest for media workers, whose highly diverse repertoire includes leaf-quality discrimination and leaf-harvesting tasks that likely involve demanding sensory and motor processes. Confocal imaging revealed that absolute brain volume increased with worker size and functionally specialized compartmental scaling differed among workers. The mushroom bodies, centers of sensory integration and learning and memory, and the antennal lobes, olfactory input sites, were larger in medias than in minims (gardeners) and significantly larger than in majors ("soldiers"), both of which had lower scores for involvement of olfactory processing in the performance of their characteristic tasks. Minims had a proportionally larger central complex compared to other workers. These results support the hypothesis that variation in task performance influences selection for mosaic brain structure, the independent evolution of proportions of the brain composed by different neuropils.

opencc-zeroFeb 2022View details →

Data from: Behavioral adjustments in the social associations of a precocial shorebird mediate the costs and benefits of grouping decisions

Animals weigh multiple costs and benefits when making grouping decisions. The cost-avoidance grouping framework proposes that group density, information quality, and risk affect an individual's preference for con- or heterospecific groups. However, this assumes the cost-benefit balance of a particular grouping is constant spatiotemporally, which may not always be true. Investigating how spatiotemporal context influences grouping choices is therefore key to understanding how animals contend with changing conditions. Changes in body size during development lead to variable conditions for individuals over short timescales that can influence their ecological interactions. Hudsonian godwits (Limosa haemastica), for instance, form a protective nesting association with a major predator of young godwit chicks, colonial short-billed gulls (Larus brachyrhynchus). Godwit broods may avoid areas of higher gull densities when chicks are susceptible to gull predation but likely experience higher risk from alternative predators as a result. Associating with conspecifics could allow godwits to buffer these costs but requires enough other broods with whom to group. To determine how age-dependent predation risk and conspecific density influence godwit grouping behaviors, we first quantified the time-dependent effects of con- and heterospecific interactions on the mortality risk for godwit chicks throughout development. We then determined how godwit density and chick age affected their associations with con- and heterospecifics. We found that younger godwit chicks' survival improved with closer association with conspecifics, earlier hatch dates, and lower gull densities, whereas older chicks survived better with earlier hatch dates, though this effect was less clear. Concomitantly, godwit broods avoided gulls early in development and when godwit densities were high but maintained loose associations with conspecifics throughout development. We identified how individuals can optimally shift with whom they group according to risks that vary spatially and temporally. Investigating the effects of a species' ecological interactions across spatiotemporal contexts in this way can shed light on how animals adjust their associations according to the costs and benefits of each association.