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429 results for “December”
GPRChinaTemp1km: 1 km monthly maximum air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly maximum air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p>
GPRChinaTemp1km: 1 km monthly mean air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly mean air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p>
GPRChinaTemp1km: 1 km monthly minimum air temperature for China from January 1951 to December 2020
<p>GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China from January 1951 to December 2020. The dataset includes monthly minimum air temperature covering the main land area of China during 1951-2020, which was interpolated by the Gaussian process regression (GPR) method based on the meteorological station data. The monthly gridded temperature dataset was evaluated by the observed values of the meteorological stations from the China Meteorological Data Service Centre. The dataset is in GeoTIFF format in the WGS84 (EPSG:4326) coordinate system. The unit of the data is degree Celsius (°C).</p> <p> </p>
Volker Mahnert in the pseudoscorpion collection of the MHNG (photo P. Schwendinger). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker Mahnert in the pseudoscorpion collection of the MHNG (photo P. Schwendinger).
Volker Mahnert in photo-ambush for fish gasping for air in Paraguay (photo C. Vaucher). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker Mahnert in photo-ambush for fish gasping for air in Paraguay (photo C. Vaucher).
Volker and Anka Mahnert (photo A. Mahnert). in Volker Mahnert 3 December 1943 – 23 November 2018
Volker and Anka Mahnert (photo A. Mahnert).
Data complementing the Avian influenza overview September– December 2022
<p>Annex A – Characteristics of the HPAI A(H5Nx)-positive poultry establishments</p> <p>The Annex contains table with the characteristics of the HPAI A(H5Nx)-positive poultry establishments by affected EU Member State from 3 September- 18 November 2022. In addition, the Netherlands reported on the characteristics of the HPAI A(H5Nx)-positive poultry establishments affected before 3 September that were not included in the previous published report; this information is also included in Annex A.</p> <p>Annex B – Applied prevention and control measures on avian influenza</p> <p>The Annex contains an overview of specific prevention and control measures applied in Belgium, Bulgaria, Croatia, Denmark, France, Germany, Hungary, Ireland, Moldova, Norway, the Netherlands, Poland, Portugal, Spain from 3 September- 18 November 2022. in relation to HPAI outbreaks in poultry and in wild birds.</p> <p>Annex C – Data on wild birds</p> <p>The Annex contains tables and plots on HPAI virus notifications in wild birds in Europe.</p>
LPL1 - December 2022
<p>Measurements of LPL1 (Teide NP) in December 2022</p> <p>Tenerife</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
LPL5 - December 2022
<p>Measurements of LPL5 (Tejeda) in December 2022</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL14 - December 2022
<p>Measurements of LPL14 (Ilha das Flores) in December 2022</p> <p>Flores</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL14">info</a></p>
SG - December 2022
<p>Measurements of SG (Global) in December 2022</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
LPL17 - December 2022
<p>Measurements of LPL17 (Isla de Tabarca) in December 2022</p> <p>Alicante</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL17">info</a></p>
LPL4 - December 2022
<p>Measurements of LPL4 (Ilha do Corvo) in December 2022</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>
LPL8 - December 2022
<p>Measurements of LPL8 (Timanfaya NP) in December 2022</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL12 - December 2022
<p>Measurements of LPL12 (Ilhas Desertas) in December 2022</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL12">info</a></p>
BiG RAPA Water Column HPLC Pigments from R/V Melville MV1015 in the South Pacific from Arica, Chile to Easter Island from November to December 2010 (C-MORE project)
<p>“The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have describes the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition.” This BiG RAPA dataset contains water column HPLC pigment data from samples collected via Niskin bottles attached to a CTD. Time is in GMT.</p> <p><br> This description has been reproduced using the following source:</p> <p><br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/pigments_watcol%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/pigments_watcol.html1%7D?</p>
Prochlorococcus Cell Concentrations During the BiG-RAPA Expedition (Cruise MV1015) in the Peru Current and Eastern South Pacific Subtropical Gyre Between November and December of 2010
<p>"These data include Prochlorococcus cell concentrations (total cell densities by flow cytometry and cell densities for specific ecotypes/clades determined by quantitative PCR). Samples were collected during the C-MORE Biogeochemical Gradients Role in Arranging Planktonic Assemblages (BiG-RAPA) expedition (Cruise MV1015) in the Peru Current and Eastern South Pacific Subtropical Gyre between dates 2010-11-19 and 2010-12-10 along a zonal transect from the northern coast of Chile to the island of Rapa Nui. Prochlorococcus is an important primary producer in the oligotrophic South Pacific Gyre and these data facilitate studies examining Prochlorococcus' ecology." https://www.bco-dmo.org/dataset/886299 Time is in UTC. Additional cruise information and methods can be found here: http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/C-MORE/prochlorococcus_data%7Bdir=dmoserv3.whoi.edu/jg/dir/BCO-DMO/C-MORE/,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/C-MORE/prochlorococcus_data.html0%7D?</p>
Nutrients from R/V Melville MV1015 in the South Pacific from Arica, Chile to Easter Island from November to December 2010 (C-MORE project)
<p>"A 5-channel, continuous flow analyzer was used for dissolved nutrient determinations on the BIG RAPA cruise. Alpkem and Technicon AutoAnalyzer II™ components were used to measure phosphate, ammonium, nitrite, silicic acid and nitrate plus nitrite (N+N). A Keithley model 575 data acquisition system backed by analog strip chart recorders was used to acquire the data. Absorbance data was converted to concentrations using the OSU program NUTCALC." Time is in GMT. More detailed information is available at: http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/nutrients%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/nutrients.html1%7D?</p>
Data complementing the Avian influenza overwiew December 2022- March 2023
<p>The Annex contains tables and figures on wild birds species and movements and HPAI virus detections in birds. </p> <p> </p> <p> </p>
Public health emergency operations centres in Africa: A cross-sectional study assessing the implementation status of core components and areas for improvement, December 2021
<div> <p><span><strong>Objective:</strong> </span><span>To assess implementation status of Public Health Emergency Operations Centres (PHEOCs) in all countries in Africa.</span></p> <p><span><strong>Design:</strong> </span><span>Cross-sectional.</span></p> <p><span><strong>Setting:</strong> </span><span>Fifty-four national PHEOC focal points in Africa responded to an online survey between May and November 2021. Included variables aimed to assess capacities for each of the four PHEOC core components. To assess the PHEOCs' functionality, criteria were defined from among the collected variables by expert consensus based on PHEOC operations' prioritisation. We report results of the descriptive analysis, including frequencies of proportions.</span></p> <p><span><strong>Results:</strong> </span><span>A total of 51 (93%) African countries responded to the survey. Among these, 41 (80%) have established a PHEOC. Twelve (29%) of these met 80% or more of the minimum requirements and were classified as fully functional. Twelve (29%) and 17 (41%) PHEOCs that met 60%–79% and below 60% of the minimum requirements were classified as functional and partially functional, respectively. </span></p> <p><span><strong>Conclusions:</strong> </span><span>Countries in Africa made considerable progress in setting up and improving functioning of PHEOCs. One-third of the responding countries with a PHEOC have one fulfilling at least 80% of the minimum requirements to operate the critical emergency functions. There are still several African countries that either do not have a PHEOC or whose PHEOCs only partially meet these minimal requirements. This calls for significant collaboration across all stakeholders to establish functional PHEOCs in Africa.</span></p> </div>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.