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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,684 datasets
A dataset from a study investigating the effects of nerve growth factor (NGF) on gonadotropin-releasing hormone (GnRH) neuron differentiation in aging male mice. The data likely contains hormone level measurements and immunofluorescence readouts from SAMP8 mouse models following NGF administration. It was authored by Jiao Luo and last updated on 2026-04-24.
Data from a study on the effects of nerve growth factor (NGF) administration in male senescence-accelerated mouse P8 (SAMP8) models. The dataset likely contains measurements of serum hormone levels (LH, FSH, testosterone) at multiple time points, along with immunofluorescence and transcriptomic data related to GnRH neuron differentiation. The dataset was authored by Jiao Luo and last updated on 2026-04-24.
Experimental data from a study on nerve growth factor (NGF) administration in male SAMP8 mice. The dataset likely contains measurements of serum hormone levels (LH, FSH, testosterone) over time and immunofluorescence readouts for GnRH and Sox2. The data was authored by Jiao Luo and uploaded to figshare in April 2026 under a CC-BY-4.0 license.
6.8 MB of experimental data from a study on nerve growth factor (NGF) administration in male SAMP8 mice. The dataset, uploaded by Jiao Luo on figshare in April 2026, includes measurements of serum hormones (LH, FSH, testosterone) and phenotypic readouts related to gonadotropin-releasing hormone (GnRH) neurons. It was generated to explore NGF's role in promoting a GnRH-associated phenotype in hypothalamic neural stem cells.
Jacek Chrzanowski published data on the structure-guided discovery of OAT-4828, a potent and selective USP7 inhibitor. The dataset likely contains results from the compound's optimization, pharmacokinetic profile in mice, and preliminary safety assessments. The data was last updated on May 6, 2026.
A research paper identifies two compounds, HIT101308137 and HIT104293658, as dual target chemotypes for PTPN1 and PTPN2. The study used a structure-guided workflow integrating pocket comparison, ligand-based hypothesis generation, and molecular dynamics simulations. Chaojie Huang authored the paper, which was uploaded to figshare on 2026-04-17.
A PDF document authored by Morimaru Kida, uploaded to figshare on 2026-04-28, advocating for the application of compositional data analysis in natural organic matter research. The 694.3 KB file uses ultrahigh-resolution mass spectrometry data as an illustrative example to guide researchers on avoiding analytical pitfalls. It discusses the structural similarity between natural organic matter data and high-throughput sequencing data, for which compositional analysis is already established.
Notes on Australian Lower Cretaceous palaeogeography describe a small collection of marine Lower Cretaceous Mollusca from the Mount Samuel area in central Western Australia. The collection consists of six genera and seven species known from the Roma Formation beds of the Great Artesian Basin. The notes are provided by the Australian Ocean Data Network and were last updated in May 2026.
A 5.5 KB Excel file containing performance metrics for the SSH-YOLO object detection model. The dataset, authored by Tenglong Ma and last updated in April 2026, presents comparison results against YOLOv8n on multiple datasets, including a self-built RoadScene-Complex dataset and public datasets like BDD100K, KITTI, COCO, and CityPersons.
5.5 KB of tabular results comparing the SSH-YOLO model's performance against YOLOv8n on multiple datasets. The data, authored by Tenglong Ma and last updated in April 2026, contains evaluation metrics from experiments on a self-built RoadScene-Complex dataset and public datasets including BDD100K, KITTI, COCO, and CityPersons. It supports a research paper proposing an improved model for detecting dense, small, and occluded objects in complex traffic scenarios.
A 5.5 KB Excel file uploaded on 2026-04-15 by Tenglong Ma. It contains performance metrics for the SSH-YOLO object detection model, comparing it against baseline models like YOLOv8n on several datasets. The results include [email protected] scores for the RoadScene-Complex, BDD100K, KITTI, COCO small target subset, and CityPersons datasets.
A 5.5 KB Excel file containing performance metrics for the SSH-YOLO object detection model. The dataset, authored by Tenglong Ma and last updated in April 2026, presents comparison results against YOLOv8n on multiple datasets, including a self-built RoadScene-Complex dataset and public datasets like BDD100K, KITTI, COCO, and CityPersons.
Tabular results from an experiment comparing the SSH-YOLO object detection model against YOLOv8n on several datasets. The data includes mean average precision (mAP) scores for models tested on the self-built RoadScene-Complex dataset and public datasets BDD100K, KITTI, COCO, and CityPersons. The dataset was authored by Tenglong Ma and last updated on April 15, 2026.
Table 4 contains performance metrics for the SSH-YOLO object detection model, as reported in the associated research paper. The data, authored by Tenglong Ma, was last updated on April 15, 2026. It is a small, 5.5 KB Excel file.
Ablation study results for the SSH-YOLO object detection model, proposed by Tenglong Ma and last updated in April 2026. The tabular data, 5.5 KB in size, contains performance metrics from experiments on a self-built RoadScene-Complex dataset and public datasets including BDD100K, KITTI, COCO, and CityPersons. The study evaluates improvements for detecting dense, small, and occluded targets in complex traffic scenarios.
A 5.5 KB Excel file uploaded on 2026-04-15 by Tenglong Ma. It contains performance metrics for the SSH-YOLO object detection model, comparing it against baseline models like YOLOv8n on several datasets. The results include [email protected] scores for the RoadScene-Complex, BDD100K, KITTI, COCO small target subset, and CityPersons datasets.
Tenglong Ma published a dataset of comparison results for the SSH-YOLO object detection model on 2026-04-15. The data, stored in an XLS file, contains performance metrics from experiments on a self-built RoadScene-Complex dataset and four public datasets (BDD100K, KITTI, COCO, CityPersons). It is a small dataset of 5.5 KB.
A geological history derived from regional mapping of 35,000 square miles in North Queensland from 1956 to 1959. The description details the structure of the Georgetown Shield and Tasman Geosyncline, including sediment thicknesses and igneous intrusions. The dataset is provided by the Australian Ocean Data Network.
A 2026 publication from the Australian Ocean Data Network discusses the origins of sulphide in sedimentary ore deposits. The text compares biological sulphate reduction in anoxic marine sediments with hydrothermal sulphide formation above 200°C. It references specific deposits like McArthur River and Mount Isa in Australia.
The Bureau of Mineral Resources (BMR) documented laboratory results from three coring cruises conducted between 1985 and 1988 off southwest Victoria and Tasmania. Analyses include grainsize, calcium carbonate (CaCO3), and total organic carbon (TOC) measurements on samples taken at 20cm intervals from cores ranging from 0.02m to 7.78m in length. The work aimed to describe temporal variations and build a sedimentation model for the continental margin.