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361 results for “January”
Study KBP-2020-CPHG Documenting New Cases of Primary Lung Cancer (PLC) Diagnosed in Respiratory Medicine Departments and Lung Cancer Units at General Hospitals From January 1st to December 31st 2020
ClinicalTrials.gov study NCT04402099. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: "Identification of SNP markers for the endangered Ugandan red colobus (Procolobus rufomitratus tephrosceles) using RAD sequencing" in Genomic Resources Notes accepted 1 December 2014 to 31 January 2015
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Data from: "De novo assembly transcriptome for the rostrum dace (Leuciscus burdigalensis, Cyprinidae: fish) naturally infected by a copepod ectoparasite" in Genomic Resources Notes accepted 1 December 2014 to 31 January 2015
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COVID-related tweets in the period between January and May 2020
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RAMP data subset, January 1 through May 31, 2019
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DATASET: Forecast made on January 11, 2021 for the second Covid-19 wave based on the improved SIR model with a constant ratio of recovery to infection rate
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Size fractionation of total Chl a larger and smaller than 8 μm data generated by Mike Mullin of the Marine Life Research Group, aboard CalCOFI (California Cooperative Oceanic Fisheries Investigations) cruises of the coast of California, January 1994 - October 1996.
Based on twelve quarterly cruises over three years, the relative importance and absolute biomass of phytoplankton retained on an 8 mu m-pore membrane filter increased as the depth of the nitricline decreased, even though biomass of macrozooplankton (potential grazers) also increased as the nitricline shoaled. The relative importance of greater than or equal to 8 mu m cells was inversely related to a proxy for their biomass-specific mortality (biomass of macrozooplankton/biomass of greater than or equal to 8 mu m cells), as was their "residual" biomass not predicted from the nitricline depth
Transient storage in Huey Creek, January 1992 - Field and Modeling data
Abstract copied from Runkel, R.L., McKnight, D.M. and Andrews, E.D., 1998, Analysis of transient storage subject to unsteady flow: Diel flow variation in an Antarctic stream: Journal of North American Benthological Society, v. 17, no. 2, p. 143-154. Transport of dissolved material in streams and small rivers may be characterized using tracer-dilution methods and solute transport models. Recent studies have quantified stream/substream interactions using models of transient storage. These studies are based on tracer-dilution data obtained during periods of steady flow. We present a modeling framework for the analysis of transient storage in stream systems with unsteady flows. The framework couples a kinematic wave routing model with a solute transport model that includes transient storage. The routing model provides time-varying flows and cross-sectional areas that are used as input to the solute transport model. The modeling framework was used to quantify stream/substream interaction in Huey Creek, an Antarctic stream fed exclusively by glacial meltwater. Analysis of tracer-dilution data indicates that there was substantial interaction between the flowing surface water and the hyporheic (substream) zone. The ratio of storage zone area to stream cross-sectional area (As/A) was bigger than 1 in all stream reaches, indicating that the substream area contributing to hyporheic exchange was large relative to stream cross-sectional area. The rate of exchange, as governed by the transient storage exchange coefficient (α), was rapid because of a high stream gradient and porous alluvial materials. Estimates of α generally exceed those determined for other small streams. The high degree of hyporheic exchange supports the hypothesis that weathering reactions within the hyporheos account for observed increases in solute concentration with stream length, as noted in other studies of Antarctic streams.
Biological and chemical data taken during a CO2 perturbation experiment with adult Antarctic krill, during a Palmer LTER cruise in January 2011
Ocean acidification has a wide-ranging potential for impacting the physiology and metabolism of zooplankton. Sufficiently elevated CO2 concentrations can alter internal acid-base balance, compromising homeostatic regulation and disrupting internal systems ranging from oxygen transport to ion balance. We assessed feeding and nutrient excretion rates in natural populations of the keystone species Euphausia superba (Antarctic krill) by conducting a CO2 perturbation experiment at ambient and elevated atmospheric CO2 levels in January 2011 along the West Antarctic Peninsula (WAP). Under elevated CO2 conditions (~672 ppm), ingestion rates of krill averaged 78 µg C individual-1 d-1 and were 3.5 times higher than krill ingestion rates at ambient, present day CO2 concentrations. Additionally, rates of ammonium, phosphate, and dissolved organic carbon (DOC) excretion by krill were 1.5, 1.5, and 3.0 times higher, respectively, in the high CO2 treatment than at ambient CO2 concentrations. Excretion of urea, however, was ~17% lower in the high CO2 treatment, suggesting differences in catabolic processes of krill between treatments. Activities of key metabolic enzymes, malate dehydrogenase (MDH) and lactate dehydrogenase (LDH), were consistently higher in the high CO2 treatment. The observed shifts in metabolism are consistent with increased physiological costs associated with regulating internal acid-base equilibria. This represents an additional stress that may hamper growth and reproduction, which would negatively impact an already declining krill population along the WAP. (see full publication: Saba GK, Schofield O, Torres JJ, Ombres EH, Steinberg DK (2012) Increased Feeding and Nutrient Excretion of Adult Antarctic Krill, Euphausia superba, Exposed to Enhanced Carbon Dioxide (CO2). PLoS ONE 7(12): e52224. doi:10.1371/journal.pone.0052224)
Rift Valley Fever reported outbreaks from 2006 to January 2020
<p>This is a movie map showing the Rift Valley Fever outbreaks in animals and humans reported by OIE and WHO respectively since 2006 until January 2020.</p>
Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of aerosol-derived organic matter simultaneously collected in Beijing, China and Gwangju, Korea in January 2018
<p>In this study, ambient fine particles (PM2.5) were simultaneously collected in two urban cities in China and Korea (Beijing and Gwangju, respectively) in January 2018. Comprehensive compositional analysis of the organic matter (OM) samples, extracted using dichloromethane, was performed on a 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer equipped with an atmospheric pressure photoionization (APPI) interface in positive ion mode. Analysis of the nonpolar and semipolar OM using APPI FT-ICR MS revealed that CHO and CHON accounted for more than 90% of the total intensity of the OM peaks. Higher proportions of CHON compounds were observed during PM2.5 events (i.e., days with abnormally high PM2.5 levels) at both sites than on regular or non-event days. </p>
Auxiliary Data for Wildfire Smoke Experiment Melbourne January 2020
<p>This dataset comprises: (i) air quality data from the Victorian Environmental Protection Agency (EPA) covering January 2020 and the whole state of Victoria, as well as visibility data; (ii) ground weather data from a Vaisala WXT520 station, and ground weather data from an automatic weather station operated from the Bureau of Meteorology (BoM) at Melbourne airport; (iii) Weather radar reflectivity data from the Melbourne S-Band radar for that period. </p>
Social (-ecological) network analysis in environmental governance - central publications, important concepts and areas of application data collected in January 2019
<p>Social and Social-Ecological Network Analysis (S(E)NA) have recently emerged as new methods in the environmental governance (EG) literature. By investigating networks of connections between actors, S(E)NA advances the understanding of who is involved in EG and how. We provide an overview of the EG literature applying S(E)NA and respective metrics of 1) a citation network analysis, 2) topic detection methods and 3) a similarity network analysis. 20 publications occupy central positions as sources, storers or bridges of knowledge in the citation network. While we see S(E)NA applied in diverse resource contexts, these are mainly discussed on the local spatial level, with a focus on “policy” or “collaboration”. We discover that “power structures” and “the production of knowledge” are themes influencing the whole field.</p>
Data from: "NGS based generation of expressed sequence tags for Lymantria dispar and Lymantria monacha, two closely related lepidopteran species with different responses to parasitism by Glyptapanteles liparidis" in Genomic Resources Notes accepted 1 December 2013 to 31 January 2014
Introduction: The gypsy moth, Lymantria dispar, and the nun moth, Lymantria monacha, are closely related species (Lepidoptera, Lymantriidae), co-seasonal and economically important forest pests on broadleaf and coniferous trees. In Central Europe, gypsy moth larvae are frequently parasitized by the gregarious, endoparasitic wasp Glyptapanteles liparidis (Hymenoptera, Braconidae). At oviposition, the female wasp injects between 10 and up to 100 eggs into the hemocoel of a single host larva, together with venom and calyx fluid containing polydnavirus (PDV) particles that subsequently play a critical role in suppressing the host immune response so that successful development of the parasitoid can proceed (Schopf 2007). These viruses, which are integrated in the genomic DNA of the wasp and undergo replication only in the female's ovary, rapidly enter host hemocytes, fat body, and nervous system following parasitization, and viral genes are expressed. In L. dispar larvae parasitized by G. liparidis, the host's hemocytes alter their behavior, fail to spread properly (thereby inhibiting the encapsulation response) and partly undergo programmed cell death (apoptosis), resulting in a dramatic drop in the host's total hemocyte number (Schafellner and Schläger 2009).
The propagation paths of GPS radio signals over the tropical ocean from 16–18 January 2022
<p>This dataset is the propagation paths of RO radio signals over the tropical ocean from 16–18 January 2022, simulated using the 2D non-local observation operator. The ray integration uses a variable step size of 2 km or smaller. The vertical interval is 100 m. The data format is HDF5. Variables include the 2D simulation bending angle, the COSMIC-2 retrieval bending angle, geometric height, impact heights, the vertical gradient of refractivity, latitude, longitude, and observation time of the RO profile.</p>
Power System Simulation Data Output from January 2024
<p>Data for the paper "Electricity Island Decarbonization Challenges: Evaluating the Environmental and Energy Security Tradeoffs Across Solar PV, Natural Gas, and Nuclear-Reliant Generation Portfolios" by Michael Buchdahl Roth and Yael Parag</p>
Data from: "Transcriptome sequencing of the Queensland fruit fly, Bactrocera tryoni (Diptera: Tephritidae)" in Genomic Resources Notes accepted 1 December 2013 to 31 January 2014
[No abstract filled]
COVID-19 SPI-M-O medium term projections, created October 2020 to end of January 2021
<p>SPI-M-O consensus and individual model medium term projections created between October 2020 and the end of January 2021 for daily number of COVID-19 patients admitted to hospital, and deaths within 28 days of positive test by date of death, within England and English regions.</p>
Figure 3 in Observations of five litle-known tubenoses from Melanesia in January 2017
Figure 3. Presumed Magnificent Petrel Pterodroma (brevipes) magnificens, between Malekula and Espiritu Santo Islands, and Pentecost and Maewo Islands, Vanuatu, 24 April 2014 (Kirk Zufelt). Rather distant when photographed, this is the palest bird of 60 seen in these waters in April 2014 and January 2017. This individual is a shade lighter than the palest Magnificent Petrel in Bretagnolle & Shirihai (2010: 294, Fig. 8). Bretagnolle & Shirihai stated that the bird in their Fig. 8 was borderline between 'dark grey' and 'smoky', thus we label this bird 'smoky'. Bretagnolle & Shirihai (2010: 291, Table 2) scored Magnificent Petrels at sea off Banks Islands, Vanuatu, and found that 10.53% were smoky (the rest extreme / dark grey); they scored the type series from the same waters and found 20% were smoky (the rest extreme / dark grey).
PERTEMUAN 14_ 02 JANUARY 2023_ SISTEM PENGENDALIAN ORGANISASI JASA _STIESIA SURABAYA_JAM 6.30-9.00
<p><strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong></p> <p>Mahasiswa mampu memahami Sistem Pengendalian Organisasi Jasa</p> <p><strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong></p> <p>Sistem Pengendalian Organisasi Jasa</p> <p>1.Definisi Sistem Pengendalian Organisasi Jasa</p> <p>2.Organisasi Jasa</p> <p>3.Organisasi Jasa Profesional</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.