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- API data.grandrapidsmi.gov | Last Updated 2020-02-13T21:48:21.680Z
- API healthdata.gov | Last Updated 2021-03-12T23:13:31.000Z
NNDSS - Table II. Mumps to Rabies, animal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.
- API opendata.maryland.gov | Last Updated 2020-01-25T00:27:31.000Z
This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. Shoreline Situation Reports (SSR) is intended to assist planners - managers - and regulators in decisions pertaining to management of coastal areas and natural resources therein. Data collected describes conditions in the immediate riparian zone - the bank - and along the shore. Map Service Link: http://geodata.md.gov/imap/rest/services/Hydrology/MD_ShorelineInventory/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
- API www.transparentrichmond.org | Last Updated 2021-02-16T09:56:33.000Z
This data includes residential energy and on road, off road, and BART transportation emissions. Complete commercial/industrial data is not currently available to the City so it is not included. Solid waste data is pending additional data for 2018 and 2019.
- API data.nasa.gov | Last Updated 2020-01-29T04:55:01.000Z
NEI Corporation proposes to develop a mixed metal oxide nanocomposite cathode that is designed for delivering high energy density with good rate performance at low temperatures (T=0 C). The two-fold innovation in the proposed effort is the simultaneous intrinsic (i.e. defect chemistry) and extrinsic (electrically conductive surface coating) modification to the active material, which itself is a composite of two layered materials. The proposed intrinsic and extrinsic modifications are projected to beneficially impact both ionic and electronic conductivities of the cathode material, and thereby enhance the Li-ion cell performance at low operating temperatures. The target specific capacity of the proposed cathode is more than 300 mAh/g with a nominal working voltage of 3V, and delivering more than 900 Wh/kg specific energy at T=0 C. The objective of the Phase I program is to demonstrate the feasibility of a new high capacity and high voltage cathode material for rechargeable Li-ion batteries. In Phase II, the composition and morphology of the powders will be optimized, and integrated into large format prototype Li-ion batteries by working in partnership with a battery manufacturer(s).
- API data.pinellas.gov | Last Updated 2020-10-14T19:54:13.000Z
- API data.nasa.gov | Last Updated 2020-01-29T03:33:30.000Z
Determine feasibility and risk attributes of a compact thermal-infrared (TIR) imaging spectrometer for persistent monitoring of outgoing longwave radiation (OLR) emitted by the Earth for enhanced measurements of: radiative/climate impacts of urbanization/urban heat islands, anthropogenic pollution, carbon flux produced by wildfires, and precursor signatures of volcanic and tectonic activity. Performance goals: ≤0.1 K noise-equivalent ?T across the 7-14 ?m band; ~55-nm spectral resolution; 0.28-mrad pixel FOV; SWaP compatible with a smallsat or hosted payload at GEO. Candidate technologies include high-throughput spectrometer; high-performance TIR focal plane array; and low-power microelectronics.
- API data.acgov.org | Last Updated 2019-04-23T01:24:05.000Z
Solid Waste Inspections Dataset 6-1-2009 to 12-31-2017
- API data.nasa.gov | Last Updated 2020-01-29T05:04:05.000Z
Science goals We have developed an instrument to assess and revise the history of the inner solar system, search for organics, and reveal the history of habitability called “the Chemistry and Dating EXperiment" (CDEX) instrument. The CDEX instrument is uniquely able to map microscopic chemical and organic context of a sample, while simultaneously determining age. The instrument measures rubidium-strontium (Rb-Sr) isotopes using laser ablation resonance ionization mass spectrometry (LA-RI-MS) for isobar free elemental separation. The RI lasers can be turned off to assess chemistry in LA-MS mode, or organics in two-step laser MS mode. This instrument was the basis for Discovery and Mars 2020 proposals, and planning is underway for future Discovery and New Frontiers opportunities. This proposal specifically addresses instrument TRL deficiencies identified under these earlier flight proposals, and will improve the TRL of the integrated instrument from 4 to 5-6. Methodology This proposal focuses on 1) development of a Rb fiber laser, 2) development of a sample gripper and grinder subsystems, and 3) integration and validation of a complete TRL 5-6 CDEX instrument. Specifically, based on our successful development of Sr and ablation lasers under a 2014 NASA MatISSE, we will produce a Rb RI fiber laser subsystem, raising the laser subsystem TRL from 4 to 5-6. The fiber laser design, built in partnership with Aerospace Corporation, improves on the solid-state laser system we built earlier by reducing input power by 50%, increasing output power by 4X, reducing mass by 3X, and reducing optical interfaces by 10X. Reducing the number of optical interfaces is crucial to reducing alignment and contamination requirements. The Rb laser will then be tested and integrated with the existing Sr and ablation lasers subsystems, along with a contributed TRL 6-9 flight spare mass spectrometer from the University of Bern. The integrated CDEX will be lifetime tested in relevant environments at SwRI, and validated by repeating existing benchtop measurements. Sample handling for the instrument will be demonstrated, including development and testing of a sample gripper and grinder, followed by verification measurement on CDEX. The gripper and grinder development adapts existing high TRL technologies from MDA and HoneyBee Robotics to the CDEX instrument. Finally, we will continue our ongoing sample benchtop measurement campaign, expanding the suite of successful demonstration measurements, thereby raising the maturity of the LARIMS dating method. Proposal objectives 1) Define flight requirements, environments, and interfaces; 2) Develop, build, environmentally test, and validate a Rb fiber-laser subsystem; 3) Integrate all three lasers (Rb, Sr, and ablation) with a miniature mass spectrometer; 4) Verify and validate instrument performance; 5) Perform lifetime and lunar environmental testing; 6) Validate sample handling, including a gripper, grinder, and docking interface; 7) Build scientific support through ongoing bench-top dating measurements. Relevance These measurements are relevant for missions to the Moon, and Mars, as well as other inner solar system targets like Vesta. Specifically, the instrument is relevant to multiple NASA goals, such as: A) For Mars, the NRC Decadal Survey specifically supports: “development of instruments [including] ... in situ geochronology experiments”; B) MEPAG Goals III.A.3-10, but especially 3, specifically call for “Constrain[ing] the absolute ages of major Martian crustal geologic processes... and the cratering rate. ... with both in situ and returned sample analysis...”; C) For the Moon, the NRC DS has a primary goal of: “Determin[ing] the chronology of basin-forming impacts and constrain[ing] the period of late heavy bombardment in the inner solar system, and thus address[ing] fundamental questions of inner solar system impact processes and chronology”.
- API nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:09:47.000Z
This data set is a subset of a global croplands data set (Ramankutty and Foley 1999a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format at 5-min resolution.Navin Ramankutty and Jonathan Foley, of the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, developed a global, spatially explicit data set of reconstructed historical croplands from 1700 to 1992. The method for historical reconstruction used a simple algorithm that linked contemporary satellite data and historical cropland inventory data. A spatially explicit croplands data set for 1992 was first derived by calibrating a satellite-derived land cover classification data set against cropland inventory data for 1992. This derived data set was then used within a simple land cover change model, along with historical cropland inventory data, to derive spatially explicit maps of historical croplands. The global data set was restricted to a representation of permanent croplands (i.e., excluding shifting cultivation), which follows the Food and Agriculture Organization (FAO) definition of arable lands and permanent crops. Data values represent fraction of grid cell in croplands.Data for the LBA study area are available for the years 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, and 1992. Although the global croplands data set contains data representing croplands since 1700, essentially no croplands were in the LBA study area until 1900. Data from previous years were excluded at the suggestion of the data originator.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/historical_croplands/comp/uwcrop_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.