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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
27,655 datasets
Gene and transposable element annotations for six haplotype-resolved genome assemblies of three Korean native Rubus species: R. coreanus, R. crataegifolius, and R. phoenicolasius. The dataset includes 24 annotation files in GFF3 and PEP formats, totaling 682.0 MB, and was published by Hyeonseon Park on figshare in June 2026. Annotations were generated using BRAKER3 and EDTA tools, incorporating RNA-seq data and a pan-genome TE library.
Two white-tailed eagle nestling erythrocyte samples from Steigen, Norway (67.93°N, 14.98°E) in 2016 were sequenced for small RNA analysis. The dataset includes processed outputs like miRTrace quality control reports and miRDeep2 quantification results for avian microRNAs. Raw sequencing data are available under ENA accession PRJEB73558.
A 2015-2016 scoping study designed a pilot nitrogen trading scheme for sugarcane catchments draining into the Great Barrier Reef Lagoon. The project synthesized nitrogen dynamics, local industry expertise, and lessons from other nutrient trading programs to estimate cost-effectiveness and financial impacts. This work was conducted under the Australian Ocean Data Network and last updated in July 2026.
2018 Estimate — Financial allocations, grants or contributions from and to local authorities (Linz) documents cash flows not related to benefits between the Federal Government, the Land, the EU, other municipalities and the City of Linz. The dataset is provided by Cooperation OGD Österreich and Wikimedia Österreich via the eu_open_data platform. It is structured according to the Ordinance on Estimates and Clearance of Accounts (VRV) and includes supplementary tables for item group definitions.
87.3% accuracy was achieved by the PANDIA AI system on a dataset of 2,847 infants across four datasets. The dataset likely contains per-site performance metrics for a multimodal AI system designed for infant pain assessment in NICUs. It was authored by Oussama El Othmani and last updated on May 26, 2026.
A dataset containing out-of-distribution performance analysis for a multimodal AI system designed for infant pain assessment. The system, PANDIA, was evaluated on 2,847 infants across four datasets and achieved 87.3% accuracy. The dataset was created by Oussama El Othmani and last updated on May 26, 2026.
Performance analysis data for the PANDIA AI system, which assesses pain in infants aged 0–3 months. The dataset likely contains evaluation metrics from a study involving 2,847 infants across four datasets. The system was developed by Oussama El Othmani and results were published in 2026.
2,847 infant records across four datasets were used to validate the PANDIA multimodal AI system for pain assessment in neonates aged 0–3 months. The system, developed by Oussama El Othmani and published on figshare in May 2026, achieved 87.3% accuracy and a 92.1% clinician acceptance rate for explanations. All code, trained models, and preprocessing pipelines are publicly available on GitHub.
2,847 infant records from four datasets were used to evaluate the PANDIA multimodal AI system for pain assessment in neonates aged 0–3 months. The dataset likely contains performance metrics from the comparison, which achieved 87.3% accuracy and a 12.4% improvement over baselines. The dataset was published by Oussama El Othmani on figshare in May 2026.
2,847 infants across four datasets were used to evaluate the PANDIA AI system for pain assessment in neonates aged 0–3 months. The dataset, associated with a paper by Oussama El Othmani, was last updated on 2026-05-26. All code, trained models, and preprocessing pipelines are publicly available via GitHub.
Oussama El Othmani published ablation study results for the PANDIA AI system on May 26, 2026. The system was evaluated on 2,847 infants across four datasets, achieving 87.3% accuracy and a 12.4% improvement over baselines. All code, trained models, and preprocessing pipelines are publicly available.
A dataset likely containing metadata or summary information related to the PANDIA AI system for infant pain assessment. The system was evaluated on 2,847 infants across four datasets and achieves 87.3% accuracy. The dataset was authored by Oussama El Othmani and last updated in May 2026.
Western Australian Permian marine faunas include species from the brachiopod superfamily Orthotetacea. The dataset describes four genera and at least 23 species, with many useful for stratigraphical correlation. It was published via the Australian Ocean Data Network and last updated in 2026.
Geoscience Australia provides national collections of geoscientific information. The dataset includes satellite images, geological and topographical maps, and boundary datasets for maritime, Aboriginal Commission, and postcode areas. Metadata from two internal catalogues was mapped to the ISO19115 standard and exposed via a GeoNetwork instance.
Australian governments have addressed water quality issues in the Great Barrier Reef over the last decade. NERP supported a new method for benchmarking and monitoring the health of the overall Reef governance system, which was recognized in the Reef 2050 Long-Term Sustainability Plan. Outputs from this 2015 project are intended to inform five-yearly Outlook reporting.
A 2024 study by Robson Mechel Berto da Silva assessed stress levels and perceptions among 26 graduate students in a Multiprofessional Integrated Health Residency Program at a maternity school. The research used a mixed-methods approach, applying the Lipp Adult Stress Symptom Inventory and open-ended questionnaires. It found 96.2% of respondents presented stress, with 72% in the resistance phase and 28% near-exhaustion.
Performance and listening data were collected from a string quartet in December 2019 at the University of Oslo's RITMO Centre. The dataset captures body motion and pupil dilation under varied rehearsal and concert conditions, including blind, score-directed, and live audience settings. It is associated with published research on musical performance, mental effort, and social context.
Human coding sequences from the GenBank database were analyzed for occurrences of MLL1 morphemes. The dataset is a text file listing 9-mers from human coding sequences, filtered to include only those with a CDS Rank greater than 2.00. It was created by Minou Bina of Purdue University West Lafayette to investigate constraints on synonymous codon utilization.
Gene expression data from calvarial osteoblasts of neonatal B6xCAST mice at 9 time points post-differentiation. mRNA profiles were generated by RNA sequencing on an Illumina HiSeq 2000, with three technical replicates per sample. The dataset was created by Euphy Wu at the University of North Carolina at Chapel Hill and includes outputs from the fishpond package for allelic count estimation.
A collection of datasets for cancer comparative effectiveness research, identified and categorized through a literature review and interviews with 41 researchers. The data was compiled by Anne-Marie Meyer at the University of North Carolina at Chapel Hill. The datasets are organized into an ontology of 8 categories, characterized by their strengths, weaknesses, and utility.