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ShareScore release 0.9.0
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69 results for “global trends”
Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6 Version 5.2
This dataset contains the Global Mean Sea Level (GMSL) trend generated from the Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 5.2. The GMSL trend is a 1-dimensional time series of globally averaged Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A that covers September 1992 to present with a lag of up to 4 months. The data are reported as variations relative to a 20-year TOPEX/Jason collinear mean. Bias adjustments and cross-calibrations were applied to ensure SSHA data are consistent across the missions; Glacial Isostatic Adjustment (GIA) was also applied. The data are available as a table in ASCII format. Changes between the version 5.1 and version 5.2 releases are described in detail in the user handbook.
ATAC-seq profiling of open chromatin with global epigenetic and transcriptional trends in two-line hybrid rice
GEO Series GSE114090. Oryza sativa. 28 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Global trends of Pseudomonas aeruginosa biofilm research in the past two decades: A bibliometric study
<p>This dataset was used to conduct bibliometric and visualised analyses on research relating to Pseudomonas aeruginosa biofilms over the past two decades.</p>
Google Trends of Global Surgery
ClinicalTrials.gov study NCT05012085. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Global Epigenetic and Transcriptional Trends among Two Rice Subspecies and Their Reciprocal Hybrids.
GEO Series GSE19602. Oryza sativa. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE)
The Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), 2002-2016, is a global gridded data set at a spatial resolution of 0.5 degrees that presents trends (rate of change measured in centimeters per year) in freshwater availability based on data obtained from 2002 to 2016 by NASA GRACE. Terrestrial water availability storage is the sum of groundwater, soil moisture, snow and ice, surface waters, and wet biomass, expressed as an equivalent height of water. GRACE measures changes in the terrestrial water cycle by assessing small changes in Earth's gravity field. This observation-based assessment of how the world's water cycle is responding to human impacts and climate variations provides an important tool for evaluating and predicting emerging threats to water and food security.
Abbreviations: ILK: indigenous and local knowledge; IPLCs: indigenous peoples and local communities; NBSAPs: national biodiversity strategies and action plans. a Strategic Plan for Biodiversity 2011–2020. Figure 6. Summary of progress towards the Aichi Targets. Scores are based on quantitative analysis of indicators, a systematic review of the literature, fifth National Reports to the CBD, and available information on countries' stated intentions to implement additional actions by 2020. Progress towards target elements is scored as "Good" (substantial positive trends at a global scale relating to in Summary for policymakers of the global assessment report on biodiversity and ecosystem services - unedited advance version
Abbreviations: ILK: indigenous and local knowledge; IPLCs: indigenous peoples and local communities; NBSAPs: national biodiversity strategies and action plans. a Strategic Plan for Biodiversity 2011–2020. Figure 6. Summary of progress towards the Aichi Targets. Scores are based on quantitative analysis of indicators, a systematic review of the literature, fifth National Reports to the CBD, and available information on countries' stated intentions to implement additional actions by 2020. Progress towards target elements is scored as "Good" (substantial positive trends at a global scale relating to
Global, Regional, and National Burdens and Trends of Tracheal, Bronchial, and Lung Cancer in Individuals Aged 70 Years and Older from 1990 to 2021
ClinicalTrials.gov study NCT06694194. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Social Media Big Dataset for Research, Analytics, Prediction, and Understanding the Global Climate Change Trends
<p>Yuriy Syerov, October 6, 2023, "Social Media Big Dataset for Research, Analytics, Prediction, and Understanding the Global Climate Change Trends", IEEE Dataport, doi: https://dx.doi.org/10.21227/71ms-8v86</p> <p>https://ieee-dataport.org/documents/social-media-big-dataset-research-analytics-prediction-and-understanding-global-climate</p>
ScienceDex guides
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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.