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2,045 results for “Plan S”
Loss of maternal and zygotic ezh2 reveals the function of Polycomb repression in maintenance of gene expression domain after the body plan is established in zebrafish
GEO Series GSE119070. Danio rerio. 55 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Time space and single-cell resolved tissue lineage trajectories and laterality of body plan at gastrulation
GEO Series GSE171588. Mus musculus. 1293 samples. Type: Expression profiling by high throughput sequencing.
The genomic origin of the unique chaetognath body plan
GEO Series GSE279488. Paraspadella gotoi. 13 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
GMM-Demux: sample demultiplexing, multiplet detection, experiment planning and novel cell type verification in single cell sequencing.
GEO Series GSE152981. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Reorganization of HoxD regulatory landscapes during the evolution of a snake-like body plan
GEO Series GSE79048. Mus musculus; Pantherophis guttatus. 25 samples. Type: Other; Genome binding/occupancy profiling by high throughput sequencing.
Reorganization of HoxD regulatory landscapes during the evolution of a snake-like body plan (ChIP-seq)
GEO Series GSE79047. Mus musculus; Pantherophis guttatus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
MarTREC UTC Data Management Plan Project Name: Green Technology Approach for Capturing Pollution Washed from Transportation Infrastructures Principal Investigator Name(s): Dr. Danuta Leszczynska
<p>This is an original data related to the project sponsored by the MarTREC UTC </p> <p>Title: Green technology Approach for Capturing Pollution Washed from Transportation Infrastructures</p> <p>PI: Dr. Danuta Leszczynska</p>
Mission Plans Synthesized by TAMAA for 4 Autonomous Agents
<p>These are figures of the mission-plan synthesizing result obtained by running TAMAA. The experimental scenario is shown in "example.png". The path shown in "TAMAA-4 agents-path 1.png" is shorter and the agents do not go to the charging point, whereas the path in "TAMAA-4 agents-path 2.png" is longer and the agents have been to the charging point before it finishes the job.</p>
Figure 1 from: Balzan MV, Tomaskinova J, Collier MJ, Dicks L, Geneletti D, Grace M, Longato D, Sadula R, Stoev P, Sapundzhieva A (2020) Building capacity for mainstreaming nature-based solutions into environmental policy and landscape planning. Research Ideas and Outcomes 6: e58970. https://doi.org/10.3897/rio.6.e58970
Figure 1 The Maltese Islands (source: Balzan et al. (2018) and OpenStreetMaps).
Figure 3 from: Balzan MV, Tomaskinova J, Collier MJ, Dicks L, Geneletti D, Grace M, Longato D, Sadula R, Stoev P, Sapundzhieva A (2020) Building capacity for mainstreaming nature-based solutions into environmental policy and landscape planning. Research Ideas and Outcomes 6: e58970. https://doi.org/10.3897/rio.6.e58970
Figure 3 The Valletta urban agglomeration (Source: Balzan et al. submitted)
Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps: Appendices 3 and 4
<p>Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Evaluation of DNA barcode libraries used in the UK and developing an action plan to fill priority gaps. Appendix 3: Priority species identified during the survey and consultation Appendix 4: Raw data for gap analyses</p>
Plans for root scanning trays to use on flatbed scanners
<p>These are plans for assembling root scanning trays from clear acrylic 3 mm panels. These can be assembled yourself by using acrylic cement, which chemically fuses the acrylic pieces and creates a waterproof join.</p> <p>The large format tray is intended for use on large format scanners (A3 paper size) such as the <a href="https://www.bhphotovideo.com/c/product/1312284-REG/epson_expression_photo_scanner_12000xl_ph.html">Epson Expression 12000XL with a transparency unit</a>. It measures 420 mm x 300 mm.</p> <p>The small format tray is intended for use on small format scanners (letter paper size) such as the <a href="https://www.bhphotovideo.com/c/product/1083201-REG/epson_b11b224201_perfection_v850_pro_scanner.html?ap=y&smp=y">Epson Perfection v850 with a transparency unit</a>. It measures 280 mm x 210 mm.</p> <p>TAP Plastics in the United States provides services to cut plastic pieces only or to assemble entire units, and their representative has agreed to accept quote requests from the root research community for pre-assembled trays. You may e-mail your desired tray's plan as PDF to:</p> <p>Shaun Reardon<br> <a href="mailto:fab@tapplastics.com?subject=root%20scanning%20tray">fab@tapplastics.com</a></p> <p>I have no affiliation or financial arrangements with any of the mentioned companies. I can only verify I have purchased these items and used them successfully to scan roots for image analysis using <a href="https://doi.org/10.5281/zenodo.3747697">RhizoVision Explorer</a>. I imply no guarantee or warranty for the suitability in your own project. </p> <p>If you publish research using data collected after using these trays, please cite these plans:</p> <p>York, Larry M. (2020, October 23). Plans for root scanning trays to use on flatbed scanners. Zenodo. http://doi.org/10.5281/zenodo.4122423</p> <p> </p>
Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
Modulation of frontal midline theta (fmθ) is observed during error commission, but little is known about the role of theta oscillations in correcting motor behaviours. We investigate EEG activity of healthy partipants executing a reaching task under variable degrees of prism-induced visuo-motor distortion and visual occlusion of the initial arm trajectory. This task introduces directional errors of different magnitudes. The discrepancy between predicted and actual movement directions (i.e. the error), at the time when visual feedback (hand appearance) became available, elicits a signal that triggers on-line movement correction. Analysis were performed on 25 EEG channels. For each participant, the median value of the angular error of all reaching trials was used to partition the EEG epochs into high- and low-error conditions. We computed event-related spectral perturbations (ERSP) time-locked either to visual feedback or to the onset of movement correction. ERSP time-locked to the onset of visual feedback showed that fmθ increased in the high- but not in the low-error condition with an approximate time lag of 200 ms. Moreover, when single epochs were sorted by the degree of motor error, fmθ started to increase when a certain level of error was exceeded and, then, scaled with error magnitude. When ERSP were time-locked to the onset of movement correction, the fmθ increase anticipated this event with an approximate time lead of 50 ms. During successive trials, an error reduction was observed which was associated with indices of adaptations (i.e., aftereffects) suggesting the need to explore if theta oscillations may facilitate learning. To our knowledge this is the first study where the EEG signal recorded during reaching movements was time-locked to the onset of the error visual feedback. This allowed us to conclude that theta oscillations putatively generated by anterior cingulate cortex activation are implicated in error processing in semi-naturalistic motor behaviours.
Data from: Big biology meets microclimatology: Defining thermal niches of ectotherms at landscape scales for conservation planning
Temperature profoundly affects ecology, a fact ever more evident as the ability to measure thermal environments increases and global changes alter these environments. The spatial structure of thermalscapes is especially relevant to the distribution and abundance of ectothermic organisms but the ability to describe biothermal relationships at extents and grains relevant to conservation planning has been limited by small or sparse datasets. Here, we combine a large occurrence database of >23,000 aquatic species surveys with stream microclimate scenarios supported by an equally large temperature database for a 149,000-km mountain stream network to describe thermal relationships for 14 fish and amphibian species. Species occurrence probabilities peaked across a wide range of temperatures (7.0–18.8 °C) but distinct warm- or cold-edge distribution boundaries were apparent for all species and represented environments where populations may be most sensitive to thermal changes. Warm-edge boundary temperatures for a native species of conservation concern were used with geospatial datasets and a habitat occupancy model to highlight subsets of the network where conservation measures could benefit local populations by maintaining cool temperatures. Linking that strategic approach to local estimates of habitat impairment remains a key challenge but is also an opportunity to build relationships and develop synergies between the research, management, and regulatory communities. As with any data mining or species distribution modeling exercise, care is required in analysis and interpretation of results, but the use of large biological datasets with accurate microclimate scenarios can provide valuable information about the thermal ecology of many ectotherms and a spatially-explicit way of guiding conservation investments.
Data and code for: Prey distribution mapping to support conservation planning
<p>This publication provides the data and code to recreate the analyses for the manuscript "Prey distribution mapping to support conservation planning". The file includes a README describing the data and code provided. </p>
CBF-Based STL Motion Planning for Social Navigation in Crowded Environment
<p>Video of submitted paper entitled "CBF-Based STL Motion Planning for Social Navigation in Crowded Environment"</p><p> </p>
Figure 1 from: Arvanitidis C, Basset A, van Tienderen P, Huertas Olivares CI, Di Muri C, de Moncuit L, Los W (2024) LifeWatch ERIC Strategic Working Plan Outcomes. Research Ideas and Outcomes 10: e119943. https://doi.org/10.3897/rio.10.e119943
Figure 1 The four Priorities identified for the next implementation period of LW ERIC.
The importance of integrating herbarium records into conservation plans: A case study on Honduran ferns and lycophytes
<p>Herbarium and management plan fern record data from Honduras. Submitted as supplemnteray material to Plants, People, Planet. </p>
Combinando Planning Poker e Aprendizado de Máquina para estimar esforço de software
<p>Apresentação do Trabalho intitulado: Combinando Planning Poker e Aprendizado de Máquina para estimar esforço de software na ERES 2021.</p>
Code, benchmarks and experiment data for the AAAI 2019 paper "Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection"
<p>This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper. Except for the code base, it contains the same files as the Zenodo entry for our IPC 2018 planner Delfi: https://zenodo.org/record/6683892.</p> <p>sievers-et-al-aaai2019-fast-downward.zip contains the implementation based on Fast Downward. It also contains the experiment scripts (hopefully) compatible with Lab 2.1 for reproducing all experiments of the paper, under experiments/ipc2018. While this code base contains a few more scripts used for this AAAI paper compared to the IPC 2018 code, it hasn't been updated to contain, e.g., a requirements.txt file for setting up a Python virtual environment like we did for our IPC 2018 planners. Please see katz-et-al-ipc2018-delfi1.zip and katz-et-al-ipc2018-delfi2.zip in the above mentioned Zenodo entry.</p> <p>sievers-et-al-aaai2019-scripts.zip contain all scripts for the learning pipeline used to train the planner selection models.</p> <p>sievers-et-al-aaai2019-benchmarks.zip contains the benchmarks. It consists of the IPC benchmarks used in all optimal sequential tracks of IPCs up to 2014 (suite optimal from https://github.com/aibasel/downward-benchmarks).</p> <p>sievers-et-al-aaai2019-lab.zip contains a copy of Lab 2.1 (https://github.com/aibasel/lab).</p> <p>sievers-et-al-aaai2019-raw-data.zip and sievers-et-al-aaai2019-parsed-data.zip contain the experimental data. Directories in sievers-et-al-aaai2019-raw-data.zip (without the "-eval" ending) contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s). Directories in sievers-et-al-aaai2019-parsed-data.zip (with the "-eval" ending) contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p> <p>The image data set used for training can be found online: https://github.com/IBM/IPC-image-data</p> <p>Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.