Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “evolutionary optimization”
FIGURE 40. Character optimization. A. Character 74 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 40. Character optimization. A. Character 74. Balancing of the body in a stealthy, slow gait. B. Character 75. Backand-forth rocking of the body (wind mimicry). C. Character 76. Immature stages camouflaged among Cladia and Cladonia lichens.
FIGURE 37. Character optimization 70 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 37. Character optimization 70: Lichenomorphic camouflage (L:2, ci: 50, ri: 80). A. Unambiguous assumptions. B. Fast, and C. Slow.
Optimization of Cochlear Implant Fitting in Patients With Functional Contralateral Hearing Using an Evolutionary Algorithm.
ClinicalTrials.gov study NCT04888143. IPD Sharing: Not stated. Countries: 1. Publications: 1.
FIGURE 38. Character optimization 71 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 38. Character optimization 71: Lichenomorphic camouflage (L:3, ci:100, ri: 100).
FIGURE 39. Character optimization 72 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 39. Character optimization 72: Foliar camouflage and wasp mimicry (L:1, ci:100, ri:100).
Data and code for, "Large language models design sequence-defined macromolecules via evolutionary optimization"
<div> <pre># Codes and data for "Large language models design sequence-defined macromolecules via evolutionary optimization"<br><br>Note this repository contains codes and data files for the manuscript. This is a snapshot of the repository, frozen at the time of submission.<br><br># Codes<br><br>## LLM codes<br>- `run_claude.py` - the routine for performing LLM-based rollouts; intended for command line execution using argparse<br>- `message_utils.py` - utilities for constructing and parsing messages for LLM I/O<br>- `model_utils.py` - lightweight utilities for retrieving formatted predictions from the RNN ensemble<br>- `target_defs.py` - defines the sequence, locations, and natural language descriptions of the target structures<br>- `ask_about_oracle.ipynb` - asks the LLM to speculate about the nature of the optimization task<br><br>## other algorithms<br>- `active_learning.ipynb` - use EI acquisition with RF surrogate to label new sequences; includes an unused tokenization scheme<br>- `evolutionary_algorithm.ipynb` - use DEAP library to perform evolutionary optimization<br>- `random_sampling.ipynb` - sample sequences randomly from all possible sequences<br><br>## postprocessing<br>- `process_aggregated_logs.py` - reads data from the raw log files and prepares them for visualization<br>- `process_sample_rollouts.py` - reads data from the raw log files and prepares individual rollouts<br><br>## visualization<br>- `figure1b.ipynb` - renders panel b of Fig. 1<br>- `figure1efg.ipynb` - renders the last row of Fig. 1 (panels e-g)<br>- `figure2.ipynb` - renders all of Fig. 2<br>- `figure_si.ipynb` - renders Figs. S1 and S2<br>- `figure_md_validation.ipynb` - renders Fig. S3<br><br># Data files<br><br>- `prompts/`<br> - `prompt-scientific-v4.4.yml` - the full text of the scientific prompt, to be read by `run_claude.py`<br> - `prompt-oracle-v4.4.yml` - the full text of the oracle prompt, to be read by `run_claude.py`<br>- `models/` - the TorchScript RNN models used to make predictions<br>- `data/`<br> - `embeddings` - calculated embeddings for a collection of sequences from our prior work<br> - `llm-logs` - the raw logs obtained from the Claude 3.5 Sonnet LLM (other algorithms made to look like the LLM logs after the fact)<br> - `llm-logs-opus` - the raw logs obtained from the Claude 3.0 Opus LLM (used in the first draft of the article, replaced by Claude 3.5 Sonnet) <br> - `all-rollouts-kltd.csv` - postprocessed logs for all the rollouts using the "top $k < d^*$" metric<br> - `all-rollouts-topkd.csv` - postprocessed logs for all the rollouts using the "mean $d$ for top $k$" metric<br> - `sample-rollout-membranes-x-3.csv` - postprocessed logs for a single rollout replica, `x` = each algorithm type<br> - `snapshots` - png snapshots of MD simulation results at different locations in the manifold</pre> </div>
Enzyme promiscuity shapes evolutionary innovation and optimization
GEO Series GSE114358. Escherichia coli str. K-12 substr. MG1655. 22 samples. Type: Expression profiling by high throughput sequencing.
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.