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Dataset results
40 results for “EDA”
Tabular representation of weather and Housing data used in EDA
<p>This is the historical weather data of North America recorded in 2012.</p>
Does Eco-driving Assistance (EDA) Have an Impact on Bus Driver's Health and Well-being?
ClinicalTrials.gov study NCT06688721. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Adaptation via pleiotropy and linkage: association mapping reveals a complex genetic architecture within the stickleback Eda locus
Genomic mapping of the loci associated with phenotypic evolution has revealed genomic "hotspots", or regions of the genome that control multiple phenotypic traits. This clustering of loci has important implications for the speed and maintenance of adaptation and could be due to pleiotropic effects of a single mutation or tight genetic linkage of multiple causative mutations affecting different traits. The threespine stickleback (<i>Gasterosteus aculeatus</i>) is a powerful model for the study of adaptive evolution because the marine ecotype has repeatedly adapted to freshwater environments across the northern hemisphere in the last 12,000 years. Freshwater ecotypes have repeatedly fixed a 16 kilobase haplotype on chromosome IV that contains Ectodysplasin (<i>Eda</i>), a gene known to affect multiple traits, including defensive armor plates, lateral line sensory hair cells, and schooling behavior. Many additional traits have previously been mapped to a larger region of chromosome IV that encompasses the <i>Eda</i> freshwater haplotype. To identify which of these traits specifically map to this adaptive haplotype, we made crosses of rare marine fish heterozygous for the freshwater haplotype in an otherwise marine genetic background. Further, we performed fine-scale association mapping in a fully interbreeding, polymorphic population of freshwater stickleback to disentangle the effects of pleiotropy and linkage on the phenotypes affected by this haplotype. Although we find evidence that linked mutations have small effects on a few phenotypes, a small 1.4 kb region within the first intron of <i>Eda</i> has large effects on three phenotypic traits: lateral plate count, and both the number and patterning of the posterior lateral line neuromasts. Thus, the <i>Eda</i> haplotype is a hotspot of adaptation in stickleback due to both a small, pleiotropic region affecting multiple traits as well as multiple linked mutations affecting additional traits.
Dataset for "LLM-aided explanations of EDA synthesis errors"
<div> <h1>Dataset for "LLM-aided explanations of EDA synthesis errors"</h1> </div> <div>Authors: Siyu Qiu, Benjamin Tan, Hammond Pearce</div> <div> </div> <div>This Zenodo contains the open-source data used for the ISLAD submission "LLM-aided explanations of EDA synthesis errors" which aimed to use OpenAI LLMs for generating novice-focused explanations of common synthesis errors.</div> <h2>Error explanations for RTL and HDL Code with OpenAI's LLMs</h2> <div>Welcome to our error explanation tool for RTL and HDL code in Verilog and VHDL! This repository helps you generate error explanations for your code using OpenAI's models, making it easier to find and fix bugs.<br> <h2>Directory Structure</h2> </div> <div> <div>- `new_structure/`: Contains all bugs in separate files, along with labelling CSV files that match the LLM responses for each bug.</div> <div>- `bug_id/`: Each bug has responses from gpt-3.5-turbo (40 responses), gpt-4 (4 responses), and gpt-4-turbo-preview (4 responses).</div> <br> <div>- `rtl/`: Includes RTL code used for bugs, compatible with both Quartus and Vivado.</div> <br> <div>- `Quartus/`: Contains Quartus project files (.qpf) and constraints files (.qsf).</div> <br> <div>- `Vivado/`: Holds Vivado project files (.xpr) and constraints files (.xdc).</div> <br> <div>- `llm_responses/`: Contains CSV files with records of the generated LLM responses for each bug.</div> <br> <div>- `labelling/`: Contains CSV files with manually scored metrics for evaluating the LLM responses.</div> <br> <div>- `error_list.csv`: This file lists all bugs with details like bug id, type, IDE, file name, language, and error message. main.py uses this file to process bugs.</div> <br> <div>- `main.py`: Use this script to generate error explanations for your RTL and HDL code with OpenAI's models. It reads bug information from error_list.csv, loads the buggy code, and interacts with the OpenAI API to get explanations for the bugs.</div> <br> <div>- `try.py`: This script defines dictionaries to store statistics about bug evaluations. It loads bug data from CSV files, processes each file to update the statistics, and prints a summary table using the tabulate library.</div> <br> <div>The labelling directories contains CSV files with metrics for evaluating the LLM responses. These metrics include Conceptual Accuracy, Inaccuracy, Relevance, Completeness, and Solution Provided. try.py processes these files to generate summary statistics.</div> <br> <h2>Important note:</h2> You need to create an API key for OpenAI and save it as a file called OPENAI_TOKEN in the root project directory. gitignore will ignore this file.</div>
Data from: Adaptation via pleiotropy and linkage: association mapping reveals a complex genetic architecture within the stickleback Eda locus
Open the record for dataset details and reuse information.
LBA-ECO ND-07 Trace Gas Fluxes Under Multiple Land Uses, Brazil: 1999-2004
This data set reports on soil-atmosphere fluxes of trace carbon dioxide, carbon monoxide, nitrous oxide, and nitric oxide (CO2, CO, N2O, NO) under various natural and manipulated land use conditions. The studies were conducted near Brasilia, Brazil in pastures and agricultural areas under a variety of management regimes and in more natural areas of cerrado (20-50% canopy cover) and campo sujo (open, grass-dominated), which were either burned every 2 years or protected from fire. Results provide data and relationships needed for regional trace gas models. There are nine comma-separated ASCII data files with this data set.
Role of human dural fibroblasts in the angiogenic responses of human endothelial cells: an in vitro dural model for EDAS
GEO Series GSE224999. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Identification of Eda targets during Meibomian gland development
GEO Series GSE87742. Mus musculus. 12 samples. Type: Expression profiling by array.
Dkk4 and Eda regulate distinctive developmental mechanisms for subtypes of mouse hair-2
GEO Series GSE19312. Mus musculus. 12 samples. Type: Expression profiling by array.
Dkk4 and Eda regulate distinctive developmental mechanisms for subtypes of mouse hair-1
GEO Series GSE19309. Mus musculus. 24 samples. Type: Expression profiling by array.
Cascade regulation of sweat gland development by Wnt, Eda and Shh pathways [Dkk4 transgenic]
GEO Series GSE50862. Mus musculus. 8 samples. Type: Expression profiling by array.
Cascade regulation of sweat gland development by Wnt, Eda and Shh pathways
GEO Series GSE50863. Mus musculus. 20 samples. Type: Expression profiling by array.
Cascade regulation of sweat gland development by Wnt, Eda and Shh pathways [beta-catenin knockout]
GEO Series GSE50859. Mus musculus. 12 samples. Type: Expression profiling by array.
Safety and Efficacy of Remote Ischemic Conditioning Combined EDAS on Ischemic Moyamoya Disease
ClinicalTrials.gov study NCT04917003. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dkk4 and Eda regulate distinctive developmental mechanisms for subtypes of mouse hair
GEO Series GSE19364. Mus musculus. 36 samples. Type: Expression profiling by array.
Eda-activated RelB recruits an SWI/SNF (BAF) chromatin-remodeling complex and initiates gene transcription in skin appendage formation
GEO Series GSE97783. Homo sapiens. 12 samples. Type: Expression profiling by array.
Transcriptomic changes in F9 tumors after EDA-CART cell therapy
GEO Series GSE204887. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Mutational analysis of the pentose phosphate pathway and the Entner-Doudoroff pathway in Gluconobacter oxydans reveals improved growth of an edd-eda deletion mutant on mannitol
GEO Series GSE38933. Gluconobacter oxydans 621H. 9 samples. Type: Expression profiling by array.
Gene expression profiling of E13.5 Eda null embryonic mammary buds
GEO Series GSE69781. Mus musculus. 6 samples. Type: Expression profiling by array.
EDA fibronectin-TLR4 axis sustains megakaryocyte expansion and inflammation in bone marrow fibrosis
<p>This dataset comprises raw data related to the study "EDA fibronectin-TLR4 axis sustains megakaryocyte expansion and inflammation in bone marrow fibrosis". This research was funded by Italian Ministry of Health (Ricerca Finalizzata GR-2016-02363136 to Dr. Vittorio Abbonante)</p>
ScienceDex guides
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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.