The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed with StreamCat data (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0) as predictor variables in random forest models. Models were then applied to perennial NHDPlus (version 2.1) stream segments to produce 1.1 million estimated values across the conterminous US. The data, upon publication of the companion journal article, will be also distributed as part of the StreamCat dataset. This dataset is associated with the following publication: Doyle, J., R. Hill, S. Leibowitz, and J. Ebersole. Random forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(5): 1099-1114, (2023).
This dataset provides Level 1 (L1) remotely sensed differential absorption optical depth (DAOD) measurements made through the Multi-Functional Fiber Laser Lidar (MFLL; Harris Corporation) during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the United States for the Atmospheric Carbon and Transport (ACT-America) project. DAOD were measured at 0.1 second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with MFLL. The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1 second column CO2 reporting frequency, are included, but not limited to, latitude, longitude, altitude, and attitude. Data users should note that a Level 2 (L2) MFLL data product is available (related dataset) that contains all data variables (plus the column-average CO2) included in this L1 MFLL data product but has undergone additional processing and calibrations and is recommended for most use cases.
The average sales price of new single-width manufactured homes in the United States has increased since 2014. In December 2022, the average sales price of a new single-width mobile home in the U.S. was ****** U.S. dollars, up from ****** U.S. dollars the year before.
Altmetrics studies emerged ten years ago in the Global North context and after a few years spread around the world. The paper investigates who are the Latin American researchers, and the relationship between South and North in Altmetric Studies and the situation of altmetric output in Latin America. (Research Design and methods) This study combines global mapping and social networks analysis, using Dimensions and VOSviewer to measure co-authorship, bibliographic coupling and co-citation analysis and content analysis to identify types of production on this topic in Latina America outputs (Dimensions data). Findings: Results (n=172) show the prominence of Brazil, Colombia and Mexico in altmetric research in Latin America. There is strong co-authorship relation in Anglophone output between Latin American research on this issue. There is an internal national co-authorship, with a huge influence from the North as reference to Latin American altmetric studies, but with gradual recognition of Mexico and Brazil as leading exponents in the region.
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Statistics illustrates consumption, production, prices, and trade of Sacks and bags, having a base width less than 40 cm in Latin America and the Caribbean from 2007 to 2024.
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The city of Sinsheim’s urban development plan “Width Side, 4th-America” has been transformed according to INSPIRE based on an XPlanung dataset in version 5.0.
This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format.
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North America Personal Care Specialty Ingredients market is expected to witness a CAGR of 3.9% during the forecast period, 2020?2026. The growing use of herbal products for personal care products is driving the regional growth.
Natural ingredients for personal care specialty products have a large share in the market for North America. Conditioning polymers represent a large share in the United States when compared with Eastern Counterparts. FDA is the regulatory body for personal care products & speciality ingredients products with 11 chemicals either have limited use or totally banned. For instance, Bithionol, Chloroform, Halogenated Salicylanilides, Methylene Chloride, Cattle Material, and Zirconium enabled Complexes are totally banned for using as ingredients for personal care. On the other hand, sunscreen in cosmetics, mercury compounds, hexachlorophene face restricted use. In addition, prolonged exposure to personal care products ingredients may be linked to environmental effects such as bioaccumulation and toxicity to marine life. For consumers, it may cause irritation to skin and eyes, at times it might even lead to development of cancer and endocrine disruption.
In case of organic ingredients, USDA is the governing body and it applies to agricultural products driven by National Organic Program. The packaging for a personal care product labelled as organic must contain 95% organic ingredients and should be USDA approved.
Attributes | Details |
Base Year | 2019 |
Historical Data | 2015?2019 |
Forecast Period | 2020-2026 |
Regional Scope | North America, U.S., Canada |
Report Coverage | Market scope, analysis, share, competitive analysis, growth factors, restraints, opportunities and revenue forecast. |
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Statistics illustrates consumption, production, prices, and trade of Iron or non-alloy steel; in coils, without patterns in relief, flat-rolled, of a width 600mm or more, hot-rolled, of a thickness of 3mm or more but less than 4.75mm in Northern America from 2007 to 2024.
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The
site suitability criteria included in the techno-economic land use screens are
listed below. As this list is an update to previous cycles, tribal lands, prime
farmland, and flood zones are not included as they are not technically
infeasible for development. The techno-economic site suitability exclusion
thresholds are presented in table 1. Distances indicate the minimum distance
from each feature for commercial scale wind development
Attributes:
Table 1
|
Wind |
Steeply sloped areas |
>10o |
Population density |
>100/km2 |
Capacity factor |
<20% |
Urban areas |
<1000 m |
Water bodies |
<250 m |
Railways |
<250 m |
Major highways |
<125 m |
Airports |
<5000 m |
Active mines |
<1000 m |
Military Lands |
<3000m |
For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes.
Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cycles
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree-ring (width) with a geographic location of California, United States Of America. The time period coverage is from 750 to -37 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree-ring (width) with a geographic location of Louisiana, United States Of America. The time period coverage is from 750 to -37 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
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Aim Adult body size often exhibits patterns across large-scale environmental gradients, creating ecogeographic clines. However, the form of body size clines varies across taxonomic groups, with linear and non-linear patterns in body size observed in nature. Non-linear body size clines have received less study, and questions remain about how environmental gradients interact to produce non-linear clines. We examined the body size of the American horseshoe crab (Limulus polyphemus), a widely distributed marine arthropod, and evaluated the hypothesis that temperature and active season length can interact multiplicatively to result in a dome-shaped distribution. Location Fourteen states in the United States of America and three Mexican states, representing the entire geographic range of the species. Methods We compiled environmental data and body size measurements from more than 49,000 individual horseshoe crabs. For each location, we extracted from the literature or calculated from raw data the mean male prosoma width and the mean female prosoma width. We applied a General Additive Modeling (GAM) approach to characterize the body size cline, test a hypothesis regarding temperature and season length, and explore evidence for the influence of additional environmental factors. Results Model results indicate temperature and season length could act multiplicatively to produce dome-shaped clines, and these findings align with and quantify previous anecdotal reports of a strong dome-shaped body size cline across latitude for horseshoe crabs. Main conclusions Active season length appears to become relatively more influential on horseshoe crab body size in the northern part of their range, while temperature effects per se appear to dominate in southern latitudes. For horseshoe crabs, the pattern of size variation is consistent with the predictions of Optimal Resource Allocation models, but more study is needed to elucidate mechanistic underpinnings. Considering climate change projections, results from our study suggest future shifts in horseshoe crab body sizes. Methods Data Collection Body Size Data We searched journal articles, books, and federal and state agency reports for published information on the body size of mature adult horseshoe crabs in North America. We also located an unpublished manuscript that added information from Delaware Bay and a Smithsonian Institution website provided sizes for animals from the Indian River Lagoon in Florida, USA. We supplemented these with original field data collected from Stony Brook, New York, USA (2007); Skidaway (2007) and Sapelo (2009) Islands, Georgia, USA; Seahorse Key, Florida, USA (1995–1997, 2007–2009); and the citizen science program Florida Horseshoe Crab Watch (2015–2022; Heres et al., 2021). In total, we compiled measurements from 49,877 individuals from 77 different locations in North America (14 USA states and 3 Mexican states), representing the entire geographic range of the species. For each location, we extracted from the literature or calculated from raw data the mean male and female prosoma width (PW) in cm, resulting in 153 observations of mean adult horseshoe crab body size. Before analysis, we filtered out means that were based on less than three individuals due to concerns that low sample size could result in biased estimates, resulting in a total of 144 estimates of mean body size (nfemale = 73, nmale = 71). Body size measurements were derived only from mature adults in their terminal molt. Animals were mostly collected while spawning on the beach, but some were collected offshore during trawl surveys. While most body size measurements were reported as PW, four sites used inter-ocular distance (IO) and these data were converted to PW before analysis. Environmental Data For locations in the USA, we gathered values from the National Oceanic and Atmospheric Administration’s (NOAA) online databases on the climatological mean for 1) annual sea temperature (°C) at 0 m, 2) salinity (ppt) at 0 m, and 3) tidal range (m), calculated as the difference between mean higher high water (MHHW) and mean lower low water (MLLW). For sites in Mexico, data for tidal range (m) were retrieved from the National Autonomous University of Mexico: National Tidal Service. We used the 2018 NOAA World Ocean Atlas, a uniformly formatted, quality controlled, data set compiled from more than 20,000 separate archived datasets and standardized using quality flags and objective tests, to gather the objectively analyzed means of both temperature and salinity at a ¼° scale. We selected values for temperature and salinity at 0 m depth because horseshoe crabs are often found in relatively shallow waters (i.e., depth < 10 m). We then averaged temperature and salinity to within a 1° scale over all available years (2005–2017) (Boyer et al., 2018). We calculated active season as the number of days per year above the minimum temperature at which horseshoe crabs are active using NOAA’s Center for Operational Oceanographic Products and Services data from the nearest harmonic tidal buoy for daily water temperature averages. Based on previous studies (detailed above), we used the following minimum autumn and spring temperatures in order to calculate active season for our different locations: (1) Maine to New Hampshire, USA: spring = 11°C, autumn = 12°C; (2) Massachusetts to Delaware, USA: spring = 13°C, autumn = 14°C; (3) Maryland to Georgia, USA: spring = 15°C, autumn = 16°C; and (4) Florida, USA to Yucatán, Mexico: spring = 17°C, autumn = 18°C. We used NOAA data to determine tidal range at all but the Mexico sites by subtracting the yearly mean of the average higher high tide and average lower low tide for the most recent available year (2022) as daily tidal highs and lows are only retained for one year (Parker, 2007). At the sites in Mexico, we took the average annual monthly high tides and low tides and subtracted from each other to obtain the average tidal range.
Boyer, T.P. Garcia, H. E.. Locarnini, R. A.. Zweng, M. M.. Mishonov, A. V.. Reagan, J. R., … Smolyar, I. V. (2018). World Ocean Atlas 2018. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18. Accessed 22 November 2021. Heres, B., Crowley, C., Barry, S., & Brockmann, H., (2021). Using citizen science to track population trends in the American horseshoe crab (Limulus polyphemus) in Florida. Citizen Science: Theory and Practice, 6(1), 19, 1–12. https://doi.org/10.5334/cstp.385
Parker, B. B. (2007). Tidal Analysis and Prediction. Silver Spring, MD: Center for Operational Oceanographic Products and Services, National Ocean Service, National Oceanic and Atmospheric Administration. NOAA Special Publication NOS CO-OPS 3. https://doi.org/10.25607/OBP-191
High precipitation in boreal northeastern North America could help forests withstand the expected temperature-driven increase in evaporative demand, but definitive evidence is lacking. Using a network of tree-ring collections from 16,450 stands across 583,000 km2 of boreal forests in Québec, Canada, we observe a latitudinal shift in the correlation of black spruce growth with temperature and reduced precipitation, from negative south of 49°N to largely positive to the north of that latitude. Our results suggest that the positive effect of a warmer climate on growth rates and growing season length north of 49°N outweighs the potential negative effect of lower water availability. Unlike the central and western portions of the continent’s boreal forest, northeastern North America may act as a climatic refugium in a warmer climate.
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Statistics illustrates market overview of cinematographic film; exposed and developed, whether or not incorporating a sound track or consisting only of sound track, of a width less than 35mm in Northern America from 2007 to 2024.
Warming in recent decades has triggered shrub expansion in arctic and alpine tundra, which is transforming these temperature-limited ecosystems and altering carbon and nutrient cycles, fire regimes, permafrost stability, land-surface climate-feedbacks, and wildlife habitat. Where and when Arctic shrub expansion happens in the future will depend in part on how different shrub communities respond to warming air temperatures. Here, we analyze a shrub ring-width network of 18 sites consisting of Salix spp. and Alnus viridis growing across the North Slope of Alaska (68-71 North; 164-149 West) to assess shrub temperature sensitivity and compare radial growth patterns with satellite NDVI (normalized difference vegetation index) data since 1982. All shrub sites and species shared a common year-to-year growth variability despite site differences and had a positive response, ~67% of which were significant (P less than 0.05), to daily maximum air temperatures (Tmax) from ca. May 31 (i.e. Tmax ~6 Celsius (C)) to early July (i.e. Tmax ~12 C). Thus, the month of June had the highest shrub growth-temperature sensitivity and this period coincides with the seasonal increase in temperature and an green-up of tundra indicated by both field observations and the seasonal cycle of NDVI (~photosynthetic activity). Nearly all of the sampled shrubs (98%) initiated their growth after 1960, with 74% initiated since 1980. This post-1980 shrub-recruitment pulse coincided with ~2 C warmer June temperatures compared to prior periods and positive trends in shrub basal area increments (BAI) and peak summer NDVI. Significant correlations between shrub growth and peak summer NDVI indicate these radial growth patterns in shrubs reflect a broader trend of enhanced tundra productivity across the North Slope of Alaska. This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from -27 to -60 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
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Statistics illustrates the net export volume of Weaving machines (looms); for weaving fabrics of a width exceeding 30cm, shuttleless type in Northern America from 2007 to 2024 by trade partner.
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree-ring (width) with a geographic location of Colorado, United States Of America. The time period coverage is from 450 to -30 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
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The data for the Buffering America’s Waterways Tool was created by aggregating the National Forests to Faucets 2.0 Assessment watershed importance data (IMP) with data on the percent of the riparian area in cropland (% cropland) which was calculated for this analysis.By combining importance to surface drinking water data with the percent riparian area that is cropland, the tool identifies riparian area in watersheds important to surface drinking water that have greatest opportunity for improving water quality by establishing perennial vegetation between croplands and water bodies.The resulting data, or Riparian Area Opportunity, is defined as:Riparian Area Opportunity = (IMP x %cropland)/100where,IMP = Index of Importance to Surface Drinking Water% cropland = Percent cropland in the Riparian Area (10 m, 30 m, or variable width)The result is presented in percentiles (0-100).Note: Due to the resolution of the data, the tool should only be used with other evaluation methods to prescribe practices for specific sites. Pasture land was not included in this analysis due to insufficient high resolution data. Future analysis may address pasture.Field NameDescriptionOBJECTIDOBJECTIDShapeShapeAcresAcresSTATESStatesHUC12HUC12NAMEHUC 12 NameSUM_POPSurface Drinking Water Consumers (Forests to Faucets 2.0)POP_DSDownstream Surface Drinking Water Consumers (Forests to Faucets 2.0)IMP_RForests to Faucets Important Watershed IndexREGIONFS Region NumberREGIONNAMEFS Region NameCROPAC_VarCrop Acres (variable width)PERCROP_Var% Crop (variable width)PERNAT_Var% Natural Cover (variable width)PERDEV_Var% Developed (variable width)PEROTH_Var% Other (variable width)CROPAC_30mCrop Acres (30m)PERCROP_30m% Crop (30m)PERDEV_30m% Natural Cover (30m)PERNAT_30m% Developed (30m)PEROTH_30m% Other (30m)CROPAC_10mCrop Acres (10m)PERCROP_10m% Crop (10m)PERDEV_10m% Natural Cover (10m)PERNAT_10m% Developed (10m)PEROTH_10m% Other (10m)IMPVAR_RRiparian Area Opportunity Index Percentile (variable width)IMP30m_RRiparian Area Opportunity Index Percentile (30m)IMP10m_RRiparian Area Opportunity Index Percentile (10m)
This study seeks to understand the ecological and sociocultural changes impacting small Aleutian subsistence communities, how community residents are adapting their perceptions and practices to these changes, and how the communities themselves and institutions can better assess and improve personal and community viability with knowledge of these adaptations. This ethnographic research project in the communities of Akutan, Nikolski and Atka will: 1) document and compare resident’s perceptions, values and use of the local environment and compare observations with instrumented measurements of climate and resource abundance, 2) document current subsistence harvesting and processing practices, 3) determine the most important ecological, economic, and socio-cultural factors associated with observed changes in the use and relationship people have with the environment, 4) analyze the role of institutions in the observed changes in resource availability and environment change, perceived value, and use of subsistence resources, and 5) develop a model which illustrates the interrelations between subsistence use, resource availability, climactic and environmental change, socio-cultural and economic change, and institutional action. Drawing on the long-term research experience that the Principle Investigators have in rural Alaska communities, this project will allow for the opportunity to explore how residents perceive, experience and value their environment and how they have adapted these aspects as well as their subsistence practices to account for environmental change. This mixed-methods study combines semi-structured, in-depth interviews, detailed current and historical mapping of subsistence use areas, participant observation of subsistence practices, a review of literature, and collection and post-processing of relevant instrument data for the scope of this project. The results of the study will lend insight into how residents of small rural communities in the Aleutians interact with their changing environment, as well as how other communities may be experiencing and adapting to changing environments across the state.
The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed with StreamCat data (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0) as predictor variables in random forest models. Models were then applied to perennial NHDPlus (version 2.1) stream segments to produce 1.1 million estimated values across the conterminous US. The data, upon publication of the companion journal article, will be also distributed as part of the StreamCat dataset. This dataset is associated with the following publication: Doyle, J., R. Hill, S. Leibowitz, and J. Ebersole. Random forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(5): 1099-1114, (2023).