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29,897 results for “activism”
HerpesFolds: A proteome-wide structural systems approach reveals insights into protein families and activities of all nine human herpesviruses
<p>These are the AlphaFold output files and ChimeraX sessions for "HerpesFolds: A proteome-wide structural systems approach reveals insights into protein families and activities of all nine human herpesviruses" by Timothy K. Soh, Sofia Ognibene, Saskia Sanders, Robin Schäper, Benedikt B. Kaufer, and Jens B. Bosse.</p>
Neutron activation analysis data of pottery from Sicán, Peru
<p>Neutron activation analysis data of pottery from Sicán, Lambayeque Department, Peru.</p>
Neutron activation analysis data of pottery from Yanaorco, Peru
<p>Neutron activation analysis data of pottery from Yanaorco, Cajamarca Department, Peru.</p>
Neutron activation analysis data of pottery from La Tiza, Peru
<p>Neutron activation analysis data of pottery from La Tiza, Nasca region, Ica Department, Peru</p>
Neutron activation analysis data of pottery from Huaca Prieta, Peru
<p>Neutron activation analysis data of pottery from Huaca Prieta, La Libertad Department, Peru.</p>
Neutron activation analysis data of pottery from Potrero Mendieta, Ecuador
<p>Neutron activation analysis data of pottery from Potrero Mendieta, Oro Province, Ecuador.</p>
Supporting data and code for: Regional variation in active bottom contacting gear footprints.
Open the record for dataset details and reuse information.
Neutron activation analysis data of pottery from La Puntilla, Peru
<p>Neutron activation analysis data of pottery from La Puntilla, Nasca District, Ica Department, Peru.</p>
Neutron activation analysis data of pottery from Zorropata, Peru
<p>Neutron activation analysis data of pottery from Zorropata, Nasca Region, Ica Department, Peru</p>
Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery
<p>Contains source datas (e.g. uncropped gels, FASTQ nanopore sequences, numeric data) and the python scripts for Fluorescence-activated droplet sequencing (FAD-seq) publication</p>
Accelerating Discovery of Mechanically Stable Metal−Organic Frameworks for Vinylidene Fluoride Storage by Active Learning
<p><span>Supplementary data including dataset and python scripts for "<strong>Accelerating Discovery of Mechanically Stable </strong></span><strong><span>Metal−Organic Frameworks </span></strong><span><strong>for Vinylidene Fluoride Storage by Active Learning</strong>"</span></p>
Persistently active El Niño–Southern Oscillation since the Mesozoic
<p>Data generated in this study are archived here.</p>
The fetal programming effect of maternal immune activation (MIA) on the offspring's immune system.
<h2>Online dataset: Cytokine profile of maternal immune activation (MIA) offspring</h2> <p>In preclinical animal maternal immune activation (MIA) models, alterations in the cytokine profiles were reported for MIA exposed offspring. This <strong>online dataset</strong> is a searchable spreadsheet provinding a more thorough summary of the cytokine profile observed in MIA exposed offspring. It includes the analyzed cytokines, the utilized animal model, age of the offspring and the specific tisssue/sample used from multiple studies.</p> <p>NA; Not affected -; not detected</p>
Neutron activation analysis data of pottery from Villa El Salvador, Peru
<p>Neutron activation analysis data of pottery from Villa El Salvador, Lima Province, Peru</p>
vanBeest iScience 2024: The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions.
<p>Data for the paper 'The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions.' by van Beest et al. 2024, iScience: https://doi.org/10.1016/j.isci.2024.110753</p> <p>Code to analyze data is available via https://github.com/EnnyvanBeest/vanBeest_iScience2024.</p> <p> </p> <p> </p>
Code and data for "ActivityGen: Extracting Enabled Activities from Screenshots"
<p>The code and data for the paper "ActivityGen: Extracting Enabled Activities from Screenshots" is provided here. </p> <p><strong>Abstract</strong></p> <p>Many tasks in organizations are performed in a desktop environment. It is possible to record users' interactions in a desktop environment by taking screenshots when an action happens. The result is an interaction log. By considering the associated images of a record, it is possible to detect which activity was performed and which activities were enabled. This information can be extracted, resulting in a translucent event log. Such a translucent event log is valuable and can be used as input for dedicated process-mining techniques. The results can be used to analyze human-computer interactions or create bots for robotic process automation. However, current techniques for extracting information on enabled activities rely on template matching, which is rigid and sensitive to variations. To solve this issue, we present our modular framework, ActivityGen. ActivityGen detects and labels graphical user interface elements by also considering additional information. ActivityGen uses more advanced techniques to overcome the limitations of previous approaches and can extract information without a user's input. Furthermore, it can be adjusted to a user's needs. It detects graphical user interface elements more accurately than state-of-the-art techniques and labels them faster, more robust, and more domain-oriented than state-of-the-art techniques.</p> <p><strong>Data</strong></p> <p>ReDraw_CLS and ReDraw_ViSM are specified in the work. </p> <p>The basis for ReDraw_CLS is the ReDraw dataset. We focus on the following components: Button, CheckBox, EditText, Image, ImageButton (which we refer to as icon), RadioButton, and Switch. We noticed that the examples of ImageView and ImageButton are similar, primarily consisting of icon images. Therefore, we removed the ImageView class and introduced an Image class instead. The Image class contains images from the validation set of the Coco validation set 2017 and the YouTube Thumbnails dataset, enabling the detection of general website images.</p> <p>ReDraw_ViSM iterates add 6,000 synthetically created buttons to the former dataset by distributing them in the same ratio into train, test, and validation sets.</p> <p>lm_basic and lm_extended contain the text training for the language models. </p> <p><strong>Code</strong></p> <p>The code allows for the execution of ActivityGen. Moreover, we provide our evaluation scripts. However, the models do not have to be trained. The models' weights are provided in the model folder.</p>
Perceptions, experiences and challenges of physical activity among firefighters with coronary heart disease risk factors in the City of Cape Town Fire and Rescue Services
Open the record for dataset details and reuse information.
Latent space active learning with message passing neural network: the case of HfO_{2}
<div>A dataset containing the structures obatined from the active learning process and their calculated energies and forces. See more details in our papr "Latent space active learning with message passing neural network: the case of HfO_{2}".</div>
fMRS data of prolonged motor activation acquired at 3 Tesla
<p>Supporting data for:</p> <p>Maria Morelli<span>, </span>Katarzyna Dudzikowska<span>, </span>Dinesh K. Deelchand<span>, </span>Andrew J. Quinn<span>, </span>Paul G. Mullins<span>, </span>Matthew A. J. Apps<span>, </span>Martin Wilson; Functional magnetic resonance spectroscopy of prolonged motor activation using conventional and spectral GLM analyses. <em>Imaging Neuroscience</em> 2025; 3 imag_a_00452. doi: <a href="https://doi.org/10.1162/imag_a_00452" target="_blank" rel="noopener">https://doi.org/10.1162/imag_a_00452</a></p>
OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD
<p>Mental health is vital to human well-being and its prevention strategies have a huge impact on quality of life. With new developments in sensors, it is now possible to continuously collect behavioral data which can be used to gain insights into mental health states. This has the potential to optimize psychiatric assessment and intervention processes, thereby improving patient experiences and outcomes. However, access to high quality medical data for research purposes is limited due to high costs, time, and privacy concerns, to name a few, and this is especially true for mental health related fields. To this extent, we present the "OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD" dataset which comprises motor activity recordings of patients with bipolar and unipolar depression, schizophrenia, and ADHD (attention deficit hyperactivity disorder). The dataset also contains motor activity data from a clinical and healthy control group, making it suitable for building machine learning predictive models and other analytics. It contains recordings from 162 individuals totaling 1,565 days worth of motor activity data.</p>
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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.