Loading...
Loading...
Cell biology, microbiology, ecology, biodiversity, species data, evolutionary biology
22,929 datasets
Esperance Bay's shallow seabed habitats are shaped by wave energy, which determines the distribution of unconsolidated substrate and predicts rhodolith and seagrass locations. This dataset integrates multibeam sonar, underwater video, predicted wave energy, and sediment data from the Recherche Archipelago. Its findings highlight wave abrasion and sediment transport as key drivers of inner-shelf habitat diversity.
Supplementary information files for the article "Long-term (37 Year) changes in coastal dune slack plant communities". The data supports a study comparing plant community diversity and composition at Ainsdale Sand Dunes National Nature Reserve in England between 1985 and 2022. The files were authored by Jonathan Millett and last updated on 2026-05-26.
Vegetation types including Endangered Ecological Communities in the Sutherland Shire, Australia. The data displays the distribution of EEC's based on final determinations under the Threatened Species Conservation Act or the Environment Protection and Biodiversity Conservation Act. Vegetation distribution is based on interpretation of 2001 aerial photographs, topography, and ground truthing, with polygons revalidated using 2011 aerial photography.
Natalia Bikkinyaeva's dataset supports research on ecological material selection in interior design. It contains data on 45 finishing materials, 12 interior assembly nodes, and 9 project-application records across three case studies. The Excel workbook includes ten thematic sheets covering EPD/LCA data, circularity criteria, aesthetic scores, health indicators, and cost analysis.
Australian water management data for the Murrumbidgee region concerning annual permitted take (APT). The dataset supports the Murray-Darling Basin Plan's sustainable diversion limits (SDLs) and has been enforced since July 2019. It is provided by the NSW Department of Climate Change, Energy, the Environment and Water.
Annual permitted take (APT) data for the Belubula region, a mechanism for sustainable water management under the Murray-Darling Basin Plan. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated on 2026-05-12. APT models calculate the maximum permitted water extraction each year based on water availability, climatic conditions, and infrastructure.
NSW Department of Climate Change, Energy, the Environment and Water provides modelled data for Annual Permitted Take (APT) in the Border Rivers region. APT is the maximum annual water volume allowed for consumptive use, enforced since July 2019 to ensure compliance with the Murray-Darling Basin Plan's Sustainable Diversion Limits. The data is modelled based on estimates of crop areas, water user patterns, and storage operations over the historical reference period from 1895 to 2009.
Annual Permitted Take (APT) data for the Paterson region, managed by the NSW Department of Climate Change, Energy, the Environment and Water. The dataset contains modelled data used to calculate the maximum annual water take for consumptive purposes, enforced since July 2019, to ensure compliance with the Murray-Darling Basin Plan's sustainable diversion limits. It is part of water resource plans developed by Basin states under the Commonwealth Water Act 2007.
A high accuracy vegetation map of central-southern New South Wales classifies plant community types according to the Benson et al. (2006, 2008) classification. The map is produced by the NSW Department of Climate Change, Energy, the Environment and Water and integrates with government assessment tools like the Property Vegetation Plan Developer. It replaces four previous Vegetation Information System datasets (VIS IDs 3798, 3799, 3800, 3812).
Annual permitted take (APT) data for the Barwon-Darling region, enforced since July 2019. The dataset is a critical component of sustainable resource management under the Murray-Darling Basin Plan, balancing water resource use with ecosystem preservation. It is provided by the NSW Department of Climate Change, Energy, the Environment and Water.
Annual permitted take (APT) data is a regulatory mechanism for sustainable water management in Australia's Murray-Darling Basin. The dataset contains modelled APT values for the Gwydir region, calculated based on water availability, climatic conditions, and infrastructure estimates from the NSW Department of Climate Change, Energy, the Environment and Water. APT enforcement began in July 2019 and is used to track compliance with long-term sustainable diversion limits.
A study of 255 mother-infant dyads examines how maternal unpredictability, measured from 2 to 6 months, relates to infant inhibitory control at 19–28 months and gut microbiome composition in a subset of 87 infants. The dataset, authored by Dima Amso and shared on figshare, includes measures of visual orienting behavior, microbial community data, and neuroactive metabolic gene potential. It was last updated on June 2, 2026.
Xinyu Wang's dataset on figshare, last updated in June 2026, contains results from mechanical testing and animal experiments on 3D printed bionic porous implants. The data likely includes measurements of elastic modulus, yield strength, compressive strength, and histological analysis of bone tissue ingrowth at 4 and 8 weeks. The study compares uniform porosity and gradient porosity Gyroid-structured implants fabricated via selective laser melting and surface treatment.
A 1.2 MB supplementary PDF file authored by Srujita Mahankali, last updated on June 2, 2026. It presents research on Type 10 Secretion Systems in Salmonella enterica, detailing their regulation and function in exporting virulence factors without bacterial lysis. The data includes population- and single-cell analyses of expression under physiologically relevant conditions.
A 2026 study by Yonglin Li presents the complete 5.14-Mb genome sequence of Pseudomonas sp. ST4, a biocontrol agent against sugarcane smut. The research includes genomic, phylogenetic, and chemotaxonomic analyses, plus a Tn5 transposon mutagenesis screen identifying the PQQ-Gcd pathway as essential for antifungal activity. The dataset is available as a 2.8 MB DOCX file under a CC-BY-4.0 license.
NSW Native Vegetation Extent 5m Raster v1.4 is a single surface raster combining the best available information on native vegetation extent for New South Wales. It was developed under the State Vegetation Type Map program by integrating five existing datasets, including the 2011 5m NSW Woody Vegetation Extent with updates up to 2018. The layer helps discriminate native tree cover and woodlands from candidate native grasslands, water, forestry plantations, and non-native areas.
Annual permitted take (APT) is a critical component of sustainable resource management, balancing water resource utilisation with ecosystem preservation. The dataset contains modelled APT data for the Castlereagh region, developed by the NSW Department of Climate Change, Energy, the Environment and Water, with a last update timestamp of 2026-05-12 16:28:29.280108.
Logbook data from commercial fishers submitted to the WA Department of Primary Industries and Regional Development is aggregated to produce summaries of total catch and effort. The data is mapped at a 0.1-degree resolution for areas with 5 or more boats, with confidential zones for fewer vessels. Summaries cover multi-year financial periods from 2003/04 to 2022/23, including a single-year snapshot for 2022/23.
Chat Moss is a peatland on the edge of Greater Manchester in northwest England. This investigation uses written accounts, historical maps, and biological recordings to examine the original extent, landscape, and species of the Chat Moss ecosystem and define the mechanisms and timeframe of anthropogenic impacts. The dataset was created by Andrew Osborne and last updated on 2026-05-28.
A systematic review synthesizes morphological, ecological, and genetic characteristics of the vulnerable seagrass Halophila beccarii across the Indo-Pacific. The analysis, authored by Amrit Kumar Mishra, is based on published literature spanning from 1977 to 2024. It assesses the species' adaptive capacity and conservation status, reporting an extremely restricted area of occupancy of 312.7 hectares.