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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
39,932 datasets
A single-case clinical report details a 58-year-old male with hepatocellular carcinoma and T11 vertebral metastasis causing paraplegia. The dataset includes temporal data on targeted immunotherapy, electroacupuncture rehabilitation, and serial cytokine measurements over a 28-month follow-up period. Author Xionghao Pang published the data on figshare under a CC-BY-4.0 license.
1.8 KB of open-access raw source code implementing a Manchester encoding engine for embedded telemetry links. The module transforms binary sequences into self-synchronizing bitstreams for transmission. Authored by Jamie Davis, it was last updated on May 29, 2026.
85 patients with ocular-onset myasthenia gravis were studied to identify predictors of progression to generalized disease. The dataset likely contains demographic, clinical, electrophysiological, and serological data from a multicenter retrospective cohort. It was authored by Lorenzo Verriello and shared on figshare in 2026.
Australia's Eromanga Basin hydrogeological inventory provides descriptive attribute information for spatial groundwater features. The dataset covers over 1,250,000 square kilometers and groups information into themes like location, geology, hydrogeology, and land use. It was published by the Australian Ocean Data Network and last updated on June 4, 2026.
Jamie Davis authored a 1.5 KB text file containing a deterministic fixed-point square root core for 32-bit bare-metal architectures. The module, named DULLEA, is designed for constant-time execution on platforms like ARM Cortex-M, ESP32, and STM32. It was last updated on June 2, 2026, and is licensed under CC-BY-4.0.
A 2020 geospatial model predicting the likelihood of Aboriginal burial sites and other cultural features across New South Wales, Australia. The dataset, produced by the NSW Department of Planning, Industry and Environment, consists of raster layers at 50-meter resolution. It includes separate predictive models for ten feature types, such as stone artefacts, rock art, and burials, with cell values ranging from 0 to 1000 indicating relative likelihood.
New South Wales data from the Aboriginal Sites Decision Support Tool (ASDST) predicts the likelihood of Aboriginal stone quarry sites in the current landscape. The Department of Planning, Industry and Environment produced this Version 7.5 raster layer in 2020 at 50-meter resolution. It is one of a suite of predictive models covering different Aboriginal site feature types across NSW.
Seven project areas listed in an anticipatory notice by Opticomm Pty Ltd, filed on 9 September 2025. The dataset includes estimated completion dates, formatted addresses, and geographic coordinates for projects in New South Wales, Victoria, and Queensland. It is published by the Australian Communications and Media Authority on the SIP Register and was last updated on 19 May 2026.
A 2020 geospatial dataset from the NSW Department of Planning, Industry and Environment predicts the likelihood of Aboriginal heritage site features across New South Wales. It includes separate raster layers for ten feature types, such as stone artefacts, rock art, and burials, in both pre-colonisation and current landscape forms. The data covers the entire state at a 50-meter resolution.
A 2020 geospatial model predicts the likelihood of coastal midden features across New South Wales on a 50-meter grid. The Aboriginal Sites Decision Support Tool (ASDST) Version 7.5, produced by the NSW Department of Planning, Industry and Environment, generates raster layers with cell values from 0 to 1000 indicating relative likelihood. The model suite covers nine other Aboriginal site feature types and includes derived impact and reliability layers.
The Aboriginal Sites Decision Support Tool (ASDST) provides raster GIS layers predicting the likelihood of Aboriginal site features across New South Wales. The current Version 7.5 suite, produced by the NSW Department of Planning, Industry and Environment in 2020, includes separate models for ten feature types like stone artefacts, rock art, and burials at 50-meter resolution. Cell values range from 0 to 1000, indicating relative likelihood, and layers are available in both pre-colonisation and current landscape forms.
A geospatial database identifying corridors for river recovery across freshwater streams in the NSW Hawkesbury Nepean catchments. It was created by Macquarie University researchers in 2022 using the NSW River Styles database accessed in January 2021. The database maps thirteen predefined connections and allows users to run over 80 different scenarios for river management prioritization.
A 2020 geospatial dataset from the NSW Department of Planning, Industry and Environment, predicting the likelihood of Aboriginal heritage site features across New South Wales. The model suite includes separate raster layers for ten feature types, such as stone artefacts and rock art, in both pre-1750 and current landscape forms. Cell values range from 0 to 1000, indicating relative likelihood.
A 2020 geospatial model predicts the likelihood of Aboriginal grinding grooves across New South Wales. The Department of Planning, Industry and Environment produced this raster layer at 50-meter resolution using a Geographic Coordinate System. It is part of the Aboriginal Sites Decision Support Tool suite, which includes separate models for other site types like rock art and stone artefacts.
The Aboriginal Sites Decision Support Tool (ASDST) provides raster GIS models predicting the likelihood of Aboriginal site features across New South Wales. The 'STQ' layer specifically models the likelihood of stone quarries prior to European colonization, with cell values ranging from 0 to 1000. The current Version 7.5 was produced by the NSW Department of Planning, Industry and Environment in 2020 at 50m resolution.
A geospatial database for all freshwater stream length of the NSW Lower North Coast catchments, showing corridors of river recovery. It was created by Macquarie University researchers in 2022 using the NSW River Styles database accessed in January 2021. The database identifies thirteen specific connections based on conservation, strategic, and high recovery potential targets.
Mohammad Khudair's dataset contains results from a positive mood induction intervention study involving 115 older adults. Participants were exposed to 15 minutes of audiovisual stimuli daily for seven consecutive days, with mood and depressive symptoms measured pre- and post-intervention. The data, last updated in 2026, shows consistent significant improvements in outcomes, with effects moderated by baseline depressive symptoms.
ASDST Version 7.5 provides a 50-meter resolution raster model predicting the likelihood of Aboriginal hearths across New South Wales prior to European colonization. The model outputs cell values from 0 to 1000, representing relative likelihood rather than probability. It was produced by the NSW Department of Planning, Industry and Environment in 2020 and is part of a larger suite of Aboriginal heritage feature models.
A 9.7 KB high-performance navigation core implements a lock-free, Single-Producer Single-Consumer data pathway for deterministic state estimation. The module, authored by Jamie Davis, computes unified kinematic orientations and spatial coordinates entirely within a q15_16_t fixed-point mathematical domain. It is designed for sub-microsecond latency in robotics and flight control stacks without using standard library heap or dynamic arrays.
A 2022 database from Macquarie University identifies corridors for river recovery in Sydney Metropolitan catchments. It maps thirteen connections based on conservation, strategic, and high recovery potential targets derived from the NSW River Styles database. The associated GIS workflow allows users to run over 80 different scenarios to analyze reach and loci connections for rehabilitation planning.