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29,897 results for “activism”
DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning
<p>Dataset accomapnying the publication: <em>DeepCanola: Phenotyping Brassica Pods Using Semi-Synthetic Data and Active Learning </em>by Van Vliet, Atkins et al.</p> <p>We provide model weights, training and vlidation datasets, as well as phenotype outputs. Each file/folder is outlined below:</p> <ul> <li><em>deepcanola.pth - </em>Model weights for the final Model 4, named DeepCanola</li> <li><em>generated_datasets</em> - Datasets generated at each stage of the active learning process, datasets 1-4 <ul> <li>Each folder is an iteration of the active learning process, inside each folder are the generated images and associated annotations stored in the COCO format.</li> </ul> </li> <li><em>real_world_datasets - </em>Real-world datasets used for either creation of the pod pools or validation. Datasets include: <ul> <li><em>br9</em> - Ordered and disordered dataset of images with generated pod length data of the ordered images stored in the `br9_gt_lengths.csv` file</li> <li><em>br11</em> - Ordered and disordered dataset of images only</li> <li><em>br17</em> - Ordered dataset with ground-truth of images with length annotations collected in ImageJ and stored in the `BR017 POD SCAN DATA.csv` file.</li> <li><em>misc</em> - Dataset of m<span>iscellaneous images including Brassica napus from Rothamstead and brassica relatives</span></li> </ul> </li> <li><em>data_generation_pools</em> - Pools used to generate semi-synthetic data at each step of the active learning process. Pools include: <ul> <li><em>background_pool</em> - Created background images to be selected at random by the semi-synthetic data generation script</li> <li><em>pod_pools - </em>Pools of pods used in the semi-synthetic data generation process. Pod pools include: <ul> <li><em>br9 - </em>673 pods with associated masks</li> <li><em>br9 and br17 - </em>673 + 332 pods with associated masks</li> </ul> </li> </ul> </li> <li><em>deepcanola_outputs - </em>Phenotype data outputs generated by DeepCanola. Each output is stored as a .csv file of both length measurements of each pod (with <em>_objects.csv</em> suffix), and average length measurements per image (with <em>_averages.csv</em> suffix). Outputs include: <ul> <li><em>br9_ordered</em></li> <li><em>br9_disordered</em></li> <li><em>br17</em></li> </ul> </li> </ul>
Pose-estimated 3D data of infant spontaneous activity from Helsinki and Pisa
<p>This dataset contains pose-estimated 3D (and 2D proxy) data as well as trained models for generating infant Kinetic Age, collected from research trials in Helsinki and Pisa. The dataset is organized into separate archives for metadata, data streams, trained models, and predictions. Below is a detailed breakdown of the dataset contents:</p> <p><strong>Metadata</strong></p> <ul> <li><em>metadata/combined.csv</em><br> - test_id: Unique identifier for each infant.<br> - corrected_age: Corrected age of the infant in days.<br> - outcome: Neurodevelopmental outcome labels (0 typical, 1 weak impairment, 2 MNI).</li> </ul> <p><strong>Data</strong></p> <ul> <li><em>data/features.csv</em><br> - Handcrafted movement features computed for each, by experts annotated, useful video segment.</li> <li><em>data/streams/combined/*.feather</em><br> - 3D recording segment, with 18 J, B, V, A streams over 600 time steps.</li> <li><em>data/streams_2d/combined/*.feather </em><br> - 2D recording segment, with 18 J, B, V, A streams over 600 time steps.</li> </ul> <p><strong>Results</strong></p> <ul> <li><em>results/model/fold_n/...</em><br> - train_predictions.npy: Predictions made on the training set.<br> - val_predictions.npy: Predictions made on the validation set.<br> - best_model.ckpt: Checkpoint file containing the saved model weights.<br> - metadata.json: Metadata describing the fold, including training parameters and validation segments.<br> - scatter_*.png: Regression results.</li> </ul> <p><strong>Predictions</strong></p> <ul> <li><em>predictions/jb-aagcn-coord-xy_predictions.csv</em><br> - Model predictions for the 2D model on MNI samples.</li> <li><em>predictions/jb-aagcn-coord_predictions.csv</em><br> - Model predictions for the 3D model on MNI samples.</li> </ul>
Frost resistance of alkali-activated concrete with different compositions – parametric study
<p><span>Alkali-Activated Materials (AAM) are often considered to be very durable and also frost-resistant. However, there are also contrary experiences. This paper focuses on the frost resistance of AAMs of different compositions – different amounts of activator and different ratios between alkali (R<sub>2</sub>O) and silicon oxide content. Sodium water glass was used as the activator and its silicate modulus was modified by the addition of KOH. The R<sub>2</sub>O content was 4 -10 % and the R<sub>2</sub>O/SiO<sub>2</sub> weight ratio was 33/67 (water glass only) up to 100/0 (KOH only). The frost resistance index was tested at the ages of 28, 91 and 365 days. Specimens were cured in foil or water and comparative specimens were also stored in foil or water. </span><span>The results obtained are inconclusive. Firstly, when the reference specimens are stored in water, their bending strength decreases. This means that the frost resistance index is dependent on the use of the reference specimens – better results of frost resistance index are obtained for water-cured beams as reference specimens as they show lower strengths. The composition has a marginal effect on the frost resistance. Longer curing times also do not increase frost resistance.</span></p>
Dataset: Low-Basicity 5-HT6 Receptor Ligands from the Group of Cyclic Arylguanidine Derivatives and Their Antiproliferative Activity Evaluation
<p>Biochromatographic data for publication: Low-Basicity 5-HT6 Receptor Ligands from the Group of Cyclic Arylguanidine Derivatives and Their Antiproliferative Activity Evaluation</p> <p> </p>
Dataset: Chromatographic data for publication Exploration and optimisation of structure-activity relationships of newtriazole-based C-terminal Hsp90 inhibitors towards in vivoanticancer potency
<p>Bio-chromoatographic data caming from publication Exploration and optimisation of structure-activity relationships of new triazole-based C-terminal Hsp90 inhibitors towards in vivo anticancer potency</p>
MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters
<p>MOAT is a Rowhammer Mitigation.</p> <p>The artifact relates to the performance and reliability evaluations as part of the ASPLOS-2025 paper</p>
Data for Rapid microwave-assisted hydrothermal in situ synthesis of nano-ZnS/kaolinite nanocomposite: a non-toxic photocatalyst active under UV and sunlight
Open the record for dataset details and reuse information.
Unraveling the Mechanism and Modulation of Activation Barriers in Uncatalyzed Anhydride Covalent Bond Exchange
<p><span>This folder contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper</span></p> <p><span>"Unraveling the Mechanism and Modulation of Activation Barriers in Uncatalyzed Anhydride Covalent Bond Exchange"</span></p> <p><span>Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...</span></p> <p><span>/MAA_and_PNA/ -- DFT structures from the study of anhydride exchange beween methacrylic anhydride (MAA) and 4-pentenoic anhydride (PNA)</span></p> <p><span><span> </span>|----/acid_catalysis/ -- DFT structures from M06-2X/def2-SVP level of theory optimization in gas phase for acid catalyzed mechanism</span></p> <p><span><span> </span>|----/gas_def2/ -- DFT structures from M06-2X/def2-SVP level of theory optimization in gas phase</span></p> <p><span><span> </span>|----/gas_def2_irc/ -- IRC movies of the TS for the concerted mechanism with and without acid at M06-2X/def2-SVP level of theory in gas phase</span></p> <p><span><span> </span>|----/gas_pople/ -- DFT structures from M06-2X/6-31G+(d) level of theory optimization in gas phase</span></p> <p><span><span> </span>|----/solv_opt/ -- DFT structures from SMD(CHCl3)-M06-2X/def2-SVP level of theory optimization in implicit chloroform solvent phase</span></p> <p><span>/UDC3/ -- DFT structures from the study of anhydride self-exchange beween UDC3 monomers, individual folders therein contains individual (un)substituted UDC3 systems</span></p> <p> </p>
Data for "The Massive and Distant Clusters of WISE Survey. XII. Exploring X-ray AGN in Dynamically Active Massive Galaxy Clusters at z~1"
<p>This dataset corresponds to the manuscript titled "The Massive and Distant Clusters of <em>WISE</em> Survey. XII. Exploring X-ray AGN in Dynamically Active Massive Galaxy Clusters at z~1" (<span>DOI: 10.3847/1538-4357/adbae4)</span>, accepted for publication in <em>The Astrophysical Journal</em> on February 24, 2025. To replicate the plots and access the catalogs used in the paper, download and extract all the zip folders along with the Jupyter Notebook "<a href="https://zenodo.org/api/records/14928038/draft/files/madcows_notebook.ipynb/content">madcows_notebook.ipynb</a>" into the same directory. Open the notebook and follow the instructions provided. For any issues, please contact the corresponding author.</p>
Computational dataset, scripts and models for 'Lipid shape as a membrane activity modulator of a model antimicrobial peptide'
<p>Analysis scripts and computational models used in the manuscript 'Lipid shape as a membrane activity modulator of a model antimicrobial peptide', by Marcin Makowski, Octávio L. Franco, Nuno C. Santos and Manuel N. Melo.</p>
Flight activity and age cause wing damage in house flies
<p>Wing damage attenuates aerial performance in many flying animals such as birds, bats and insects. Especially insect wings are fragile and light in order to reduce inertial power requirements for flight at elevated wing flapping frequencies. There is a continuing debate on the factors causing wing damage in insects including collisions with objects, mechanical stress during flight activity, and aging. This experimental study is engaged with the reasons and significance of wing damage for flight in the house fly <i>Musca domestica</i>. We determined natural wing area loss under two housing conditions and recorded flight activity and flight ability throughout the animals' lifetime. Our data show that wing damage occurs on average after 6 h of flight, is sex-specific, and depends on housing conditions. Statistical tests show that both physiological age and flight activity have similar significance as predictors for wing damage. Tests on freely flying flies showed that minimum wing area for active flight is approximately 10-34% below the initial area and requires a left-right wing area asymmetry of less than approximately 25%. Our findings broadly confirm predictions from simple aerodynamic theory based on mean wing velocity and area, and are also consistent with previous wing damage measurements in other insect species.</p>
Data and code from "Full bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene micro-transistor depth neural probes"
<p>Data and python code for reproducing the main results of the paper "Full bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene micro-transistor depth neural probes."</p>
Screening of 6000 compounds for uncoupling activity: input parameters, the predicted uncoupling activity, as well as the results in respect to structural alerts
<p>Protonophoric uncoupling of phosphorylation is an important factor when assessing chemicals for their toxicity, and has recently moved into focus in pharmaceutical research with respect to the treatment of diseases such as cancer, diabetes or obesity. Reliably identifying uncoupling activity is thus a valuable goal. To that end, we screened more than 6000 anionic compounds for in-vitro uncoupling activity, using a biophysical model based on ab-initio COSMO-RS input parameters with the molecular structure as the only external input. We combined these results with a model for baseline toxicity (narcosis). Our model identified more than 1250 possible uncouplers in the screening dataset, and identified possible new uncoupler classes such as thiophosphoric acids. When tested against 423 known uncouplers and 612 known inactive compounds in the dataset, the model reached a sensitivity of 83% and a specificity of 96%. In a direct comparison, it showed a similar specificity than the structural alert profiler Mitotox (97%), but much higher sensitivity than Mitotox (47%). The biophysical model thus allows for a more accurate screening for uncoupling activity than existing structural alert profilers. We propose to use our model as a complementary tool to screen large datasets for protonophoric uncoupling activity in drug development and toxicity assessment.</p>
Subtle alterations in neonatal neurodevelopment following early or late exposure to prenatal maternal immune activation
<p>Structural MRI</p>
1864 radio variable galaxies with classifications for activity types.
<p>1864 radio variable galaxies with classifications for activity types.</p>
Rest-activity daily rhythm and physical activity levels after hip and knee joint replacement: the role of actigraphy in orthopedic clinical practice.
<p>Elective hip and knee joint replacement for osteoarthritis are cost-effective surgical procedures requiring specific rehabilitation programs. Actigraphy is widely used in both research and clinical practice to study activity patterns with great accuracy and validity but it has never been utilized in orthopedic patients. Therefore, the aim of this study was to objectively assess, through actigraphy, physical activity (PA) levels and rest-activity daily rhythm (RAR) in patients undergoing hip or knee joint replacement and hospitalized for ten days after surgery. Twenty subjects (11 males and 9 females; age: 62.68 ± 10.39 years old; BMI: 29.03 ± 3.92 kg/m2) wore the Actiwatch 2 actigraph (Philips Respironics, Portland, OR) to record both PA levels and RAR for 11 consecutive days and data on subjective scores of pain, by a visual analog scale (VAS), and functional and clinical scores were collected. The following time-points were considered for the statistical analysis: pre-surgery (PRE), the first (POST1), the fourth (POST4) and the tenth (POST10) day after surgery. RAR were processed with the population mean cosinor to describe the rhythm's characteristics (acrophase, amplitude and MESOR) while data on actigraphy-based PA, VAS, and functional clinical scores were compared among PRE, POST1, POST4 and POST 10 with the RM-ANOVA or the non-parametric Friedman test. The day after surgery the subjects had a flattened RAR compared to the other conditions: lower values were detected in POST1 compared to both PRE, POST4 and POST10 for MESOR (<em>p</em> < .0001; η2p = .71, large) and amplitude (<em>p</em> < .0001; η2p = .63, large) while RAR's acrophase (<em>p</em> < .0001; η2p = .61, large) was delayed in PRE (16:45) compared to POST1 (12:42), POST4 (14:38), and POST10 (14:38). PA levels were significantly lower at POST 1 (76.7 ± 33.4) compared to PRE (192.3 ± 91.5; <em>p</em> < .0001 and ES: 1.68, large), POST4 (137.9 ± 45.9; <em>p</em> < .0001 and ES: 1.54, large), and POST10 (131.2 ± 54.3; <em>p</em> < .0001 and ES: 1.21, large) whereas VAS and functional clinical values significantly improved at POST10. Hip and knee joint replacement negatively influenced RAR and PA the first day after surgery but a progressive improvement in the circadian pattern of rest-activity cycle, PA levels, VAS and functional ability was recorded from POST4 to POST10. Actigraphy has the ability to collect real-life data without interfering with clinical practice and give clinicians a new measure of performance that is currently not available. This tool could allow to identify patients with disrupted circadian rhythm and reduced PA in the peri-operative period in orthopedic surgery, and timely intervene on these subjects with personalized rehabilitative intervention.</p>
Figure 6 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 6. Behaviours exhibited by captive-born collared peccaries grouped into the territorial and exploratory categories. a) Dorsal gland mark; b) Rub head on ground/object; c) Nose ground; d) Nose air; e) Tasting; f) Root.
Figure 4 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 4. Behaviours exhibited by captive-born collared peccaries grouped into the social affiliative category. a) Head toss; b) Mutual rub neck; c) Mutual rub; d) Weak bite; e) Roll; f) Play in mud.
Figure 3 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 3. Behaviours exhibited by the captive-born collared peccaries grouped into reproductive category. a) Chin on back; b) Chin on head; c) Nurse; d) Mount.
Figure 1 in Ethogram and time-activity budget of the collared peccary (Pecari tajacu, Tayassuidae): implications for husbandry and welfare
Figure 1. Behaviours exhibited by the captive-born collared peccaries grouped into the locomotion and inactivity categories. a) Sequence from left to right: inactive, walking, trotting and running; b) Yawning; c) Stretching, and d) Sleeping.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.