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79 results for “ETo”
Distribution. Upper Guinea Forest of W Africa W of Dahomey Gap, extending from Sierra Leone Eto Ghana. in Muridae
Distribution. Upper Guinea Forest of W Africa W of Dahomey Gap, extending from Sierra Leone Eto Ghana.
A high-quality gap-filled daily ETo dataset for China during 1951-2021 from synoptic stations
<p><span>The reference evapotranspiration (ETo) is essential for water-consuming in agriculture and land-water cycle research. The synoptic data from meteorological stations can provide reliable ground data for ETo estimation with the FAO-56 Penman-Monteith equation. However, the five primary variables this equation needs, including maximum temperature (Tmax), minimum temperature (Tmin), sunshine duration (SSD), wind speed (Wind), and relative humidity (RH), often experience severe data loss due to force majeure events in synoptic data. The data loss would directly introduce severe data gaps to the complex records for ETo. Machine learning algorithms can fill various data gaps with low error rates, however, to achieve high data quality, the algorithms must be selected properly to deal with the distinct types of data loss and train independently. Here, based on the data characters, we investigated and classified data gaps from the synoptic dataset into 2 major types: the common, minor data loss gaps including Tmax loss/Tmin loss/SSD loss/Wind loss/RH loss/Wind and SSD loss/Wind and RH loss, and the other 19 types of data loss which is more severe in information loss but barely occurred. Our results show that the XGBoost model achieved the best accuracy in all 3 machine learning models with high statistic levels. For the other 19 types of data gaps, the LSTM models were trained separately for each site and achieved average R², RMSE, and nRMSE at 0.9, 0.5 mm d-1, and 38% for the total 2419 stations. Thus, we propose a high-quality, gap-filled daily ETo dataset during 1951-2021 for China with the proportion of large errors (the data with daily ETo errors more than 1.5 mm d-1) below 0.2%. Our results also reveal that the entanglement degree between synoptic variables varies a lot from region to region in China.</span></p>
ETO Cross-Border Tech Research Metrics
<p>ETO's Cross-Border Tech Research Metrics dataset includes metrics for cross-border research in emerging technology domains, such as AI, robotics, and cybersecurity. For complete documentation and caveats, visit the <a href="https://eto.tech/dataset-docs/cross-border-tech-research-metrics">ETO website</a>.</p> <p>Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.</p>
ETOS: Minimal Hepatic Encephalopathy in Childhood and Young Adult: epidemiOlogical Study and Pilot Interventional Study
ClinicalTrials.gov study NCT01798329. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Treatment of Relapsed or Refractory t(8; 21) AML With Targeted AML1-ETO Neoantigen Cytotoxic T Cells (CTL)
ClinicalTrials.gov study NCT06499025. IPD Sharing: NO. Countries: 1. Publications: 6.
First ISCCP Regional Experiment (FIRE) Extensive Time Observations (ETO) University of Utah Polar Diversification LIDAR
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.Lidar returned signal in arbitrary units, raw data, background subtracted, Minimum value = 0, Maximum value = 25600, Scaling Factor = 100 A description of the lidar is given in the following paper: Sassen, K., 1994: Advances in polarization diversity lidar for cloud remote sensing, Proc. IEEE, 82, 1907-1914
Chromatin accessibility, p300 and histone acetylation define PML-RARalpha- and AML1-ETO-binding sites
GEO Series GSE30254. Homo sapiens. 25 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Expression of RUNX1-ETO Rapidly Alters the Chromatin Landscape and Growth of Early Human Myeloid Precursor Cells (scRNA-Seq)
GEO Series GSE137672. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Lipolysis regulates major transcriptional programs in brown adipocytes [TC ETO exp]
GEO Series GSE205174. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Definition of a Small Core Transcriptional Circuit Regulated by AML1-ETO [ChIP-seq, Cut&Run]
GEO Series GSE153279. Homo sapiens. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Definition of a Small Core Transcriptional Circuit Regulated by AML1-ETO [ChIP-seq and CUT&RUN]
GEO Series GSE160242. Homo sapiens. 31 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Targeting fatty acid metabolism to abrogate differentiation block in pre-leukemia induced by AML1-ETO [2]
GEO Series GSE270754. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Definition of a Small Core Transcriptional Circuit Regulated by AML1-ETO
GEO Series GSE153281. Homo sapiens. 74 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide analysis of vascular smooth muscle cells treated by etonogestrel (ETO), medroxyprogesterone acetate (M) or progesterone (P)
GEO Series GSE55736. Homo sapiens. 12 samples. Type: Expression profiling by array.
RUNX1-ETO translocations must proceed CSF3R mutations to promote acute myeloid leukemia development
GEO Series GSE218829. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
ETO Family Protein Mtgr1 Mediates Prdm14 Functions in Stem Cell Maintenance
GEO Series GSE74547. Mus musculus. 26 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Definition of a Small Core Transcriptional Circuit Regulated by AML1-ETO [PRO-seq]
GEO Series GSE153267. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Expression of RUNX1-ETO Rapidly Alters the Chromatin Landscape and Growth of Early Human Myeloid Precursor Cells
GEO Series GSE137673. Homo sapiens. 47 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Rosa26-AML1-ETO 9a knock-in pre-leukemic Lin-cKit+ (LK) single-cell RNA sequencing
GEO Series GSE173712. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
AML1-ETO induces leukemia via C/D box snoRNA/RNPs.
GEO Series GSE80602. Homo sapiens; Mus musculus. 94 samples. Type: Expression profiling by array; Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
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OpenNeuro
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