This dataset tracks the updates made on the dataset "Medicare National HCPCS Aggregate Summary Table CY2012" as a repository for previous versions of the data and metadata.

The dataset “HHRG Aggregate Table” contains information on utilization, Medicare payment, and submitted charges organized by HHRG.

Data and programs required for replicating analysis, tables, and figures in “Firm Entry and Exit and Aggregate Growth” by Jose Asturias, Sewon Hur, Timothy J. Kehoe, and Kim J. Ruhl.

The “HHRG by State Aggregate Table” contains information on utilization, Medicare payment, and submitted charges organized by HHRG by state.

The excel file contains time series data of flow rates, concentrations of alachlor , atrazine, ammonia, total phosphorus, and total suspended solids observed in two watersheds in Indiana from 2002 to 2007. The aggregate time series data corresponding or representative to all these parameters was obtained using a specialized, data-driven technique. The aggregate data is hypothesized in the published paper to represent the overall health of both watersheds with respect to various potential water quality impairments. The time series data for each of the individual water quality parameters were used to compute corresponding risk measures (Rel, Res, and Vul) that are reported in Table 4 and 5. The aggregation of the risk measures, which is computed from the aggregate time series and water quality standards in Table 1, is also reported in Table 4 and 5 of the published paper. Values under column heading "uncertainty" reports uncertainties associated with reconstruction of missing records of the water quality parameters. Long-term records of the water quality parameters were reconstructed in order to estimate the (R-R-V) and corresponding aggregate risk measures.

This dataset is associated with the following publication: Hoque, Y., S. Tripathi, M. Hantush , and R. Govindaraju. Aggregate Measures of Watershed Health from Reconstructed Water Quality Data with Uncertainty. Ed Gregorich JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 45(2): 709-719, (2016).

The data and code in this replication package produces all 26 figures and 8 tables for the paper "The Aggregate-Demand Doom Loop: Precautionary Motives and the Welfare Costs of Sovereign Risk," by Francisco Roldán.The paper examines the role of households' precautionary savings motive in amplifying and propagating movements in sovereign spreads. It studies this mechanism in a model where the government of a small open economy borrows from foreigners but the debt is then partially held by heterogeneous domestic savers. In a calibration to Spain in the 2000s, it finds that default risk accounts for about half of the output contraction. More generally, sovereign risk exacerbates volatility in consumption over time and across agents, creating large and unequal welfare costs even if default does not materialize.

Camping Tables Market Outlook

The global camping tables market size was valued at $X billion in 2023 and is projected to reach $Y billion by 2032, growing at a compound annual growth rate (CAGR) of Z% from 2024 to 2032. The primary growth factor driving this market is the increasing global preference for outdoor recreational activities, which is accompanied by a rising demand for portable and durable camping solutions.

One of the prominent growth factors in the camping tables market is the surge in outdoor recreational activities such as hiking, camping, and adventure sports. Urbanization and hectic lifestyles have led to an increased desire for weekend getaways and outdoor activities, contributing to the demand for camping accessories, including tables. This trend is further fueled by social media platforms, where sharing experiences and influencing peers has become a norm, bolstering the market growth for camping tables. Additionally, the growing interest in eco-tourism and sustainable travel practices is also adding to the market's expansion, as consumers seek more reliable and environmentally friendly camping solutions.

Another significant growth factor is advancements in materials and designs of camping tables. With innovations in lightweight, durable, and weather-resistant materials, manufacturers are able to offer a variety of camping tables that cater to different consumer preferences. Features such as foldability, adjustable heights, and ease of transport have made these tables more appealing. The continuous improvement in product design, coupled with the integration of new technologies, is expected to drive further growth in the market.

Fold out Tables have become an integral part of the camping experience, offering a blend of convenience and functionality that appeals to a wide range of outdoor enthusiasts. These tables are designed to maximize space efficiency, making them ideal for campers who need to optimize their packing. The ability to fold out provides a larger surface area when needed, while still being compact enough for easy transport and storage. This versatility makes fold out tables particularly popular among families and groups who require additional space for dining, cooking, or playing games during their outdoor adventures. As the demand for multi-functional camping gear continues to rise, fold out tables are expected to see increased popularity, contributing significantly to the overall growth of the camping tables market.

The increasing number of camping sites and recreational parks around the globe is another factor supporting the market growth. Governments and private entities are investing in the development and maintenance of outdoor recreational facilities, leading to a higher demand for camping accessories. The rise in disposable incomes and a growing middle-class population in developing countries also contribute to the market's growth as more individuals can afford to participate in recreational activities and invest in quality camping gear, including tables.

Regionally, North America is expected to dominate the camping tables market due to the well-established culture of outdoor recreational activities and a high number of camping sites. Europe follows closely, with a significant market share attributed to similar trends in outdoor activities and tourism. The Asia Pacific region is anticipated to witness substantial growth during the forecast period, driven by increasing disposable incomes, urbanization, and a growing awareness of outdoor recreational activities. Latin America and the Middle East & Africa are also expected to show moderate growth, supported by rising tourism and recreational activities in these regions.

Product Type Analysis

The camping tables market can be segmented by product type into folding camping tables, roll-up camping tables, adjustable height camping tables, and others. Folding camping tables are highly popular due to their compactness and ease of transport. These tables can be folded into smaller sizes, making them convenient for storage and carriage. Their versatility and user-friendliness attract a wide range of consumers, from casual campers to experienced outdoor enthusiasts. The demand for folding camping tables is expected to remain strong throughout the forecast period.

Roll-up camping tables, on the other hand, offer a different kind of convenience. These tables usually come with roll-up tops and collapsible frames,

Form 477 wireline service data from FCC. Providers file lists of census blocks in which they can or do offer service to at least one location, with additional information about the service. This filtered rollup table shows providers that indicated they use technology code 70 (fixed wireless)

Consolidated income tax and comprehensive income statistics analysis table by county and township of Hualien County Unit: Amount (in thousand dollars)

This dataset is about: (Table 2) Microbial numbers and relative abundances for aggregate-attached and free-living organisms from water sample station GeoB15704-2. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.846188 for more information.

Table from the American Community Survey (ACS) B19301 and B19313 per capita and aggregate income. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, 2023ACS Table(s): B19301 and B19313Data downloaded from: <a href

This dataset tracks the updates made on the dataset "Medicare Referring DMEPOS HCPCS State Aggregate table CY2017" as a repository for previous versions of the data and metadata.

Merchandise Trade Statistics - Table 410-50001 : External Merchandise Trade Aggregate Figures

This dataset tracks the updates made on the dataset "Medicare State HCPCS Aggregate Summary Table CY2017" as a repository for previous versions of the data and metadata.

Updated for 2013-17:US Census American Community Survey data table for: Housing subject area. Provides information about: AGGREGATE NUMBER OF ROOMS for the universe of: Housing units. These data are extrapolated estimates only, based on sampling; they are not actual complete counts. The data is based on 2010 Census Tracts. Table ACS_B25019_AGGREGATENUMBERROOMS contains both the Estimate value in the E item for the census topic and an adjacent M item which defines the Margin of Error for the value. The Margin of Error (MOE) is the plus/minus range for the item estimate value, where the range between the Estimate minus the Margin of Error and the Estimate plus the Margin of Error defines the 90% confidence interval of the item value. Many of the Margin of Error values are significant relative to the size of the Estimate value. This table contains 1 item(s) extracted from a larger sequence table. This extracted subset represents that portion of the sequence that is considered high priority. Other portions of this sequence that are not included can be identified in the data dictionary information provided in the Supplemental Information section below. This table information is also provided as a customized layer file: B25019_AREA_AGGREGATENUMBERROOMS.lyr where the table information is joined to the 2010 TRACTS_AREA census geography on the GEOID item. Both the table and customized lyr file name do not contain the year descriptor (i.e. 2012-2016) for the current ACS series. This is intentional in order to maintain the same table name in each successive ACS update. The alias of each item's (E)stimate and (M)easure of Error value stores this year date information as beginning YY and ending YY, i.e., 'E1216' and 'M1216' followed by the rest of the alias description. In this way users of the data tables or lyr files that support field aliases can determine which ACS series is being represented by the current table contents.

This study includes two components of the research infrastructure developed by CCRI for the 1941 Census of Canada: selected digitized published tables of aggregate data and a reconstruction of the census geography.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Aggregate Effects of Budget Stimulus: Evidence from the Large Fiscal Expansions Database. PIIE Working Paper 19-12.

If you use the data, please cite as: Cohen-Setton, Jeremie, Egor Gornostay, and Colombe Ladreit de Lacharrière (2019). Aggregate Effects of Budget Stimulus: Evidence from the Large Fiscal Expansions Database. PIIE Working Paper 19-12. Peterson Institute for International Economics.

Multifactor productivity and related variables in the aggregate business sector and major sub-sectors, by North American Industry Classification System (NAICS), provinces.

The DIAMAS project investigates Institutional Publishing Service Providers (IPSP) in the broadest sense, with a special focus on those publishing initiatives that do not charge fees to authors or readers. To collect information on Institutional Publishing in the ERA, a survey was conducted among IPSPs between March-May 2024. This dataset contains aggregated data from the 685 valid responses to the DIAMAS survey on Institutional Publishing.

The dataset supplements D2.3 Final IPSP landscape Report Institutional Publishing in the ERA: results from the DIAMAS survey.

The data

Basic aggregate tabular data

Full individual survey responses are not being shared to prevent the easy identification of respondents (in line with conditions set out in the survey questionnaire). This dataset contains full tables with aggregate data for all questions from the survey, with the exception of free-text responses, from all 685 survey respondents. This includes, per question, overall totals and percentages for the answers given as well the breakdown by both IPSP-types: institutional publishers (IPs) and service providers (SPs). Tables at country level have not been shared, as cell values often turned out to be too low to prevent potential identification of respondents. The data is available in csv and docx formats, with csv files grouped and packaged into ZIP files. Metadata describing data type, question type, as well as question response rate, is available in csv format. The R code used to generate the aggregate tables is made available as well.

Files included in this dataset

survey_questions_data_description.csv - metadata describing data type, question type, as well as question response rate per survey question.

tables_raw_all.zip - raw tables (csv format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option. Zip file contains 180 csv files.

tables_raw_IP.zip - as tables_raw_all.zip, for responses from institutional publishers (IP) only. Zip file contains 180 csv files.

tables_raw_SP.zip - as tables_raw_all.zip, for responses from service providers (SP) only. Zip file contains 170 csv files.

tables_formatted_all.docx - formatted tables (docx format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option.

tables_formatted_IP.docx - as tables_formatted_all.docx, for responses from institutional publishers (IP) only.

tables_formatted_SP.docx - as tables_formatted_all.docx, for responses from service providers (SP) only.

DIAMAS_Tables_single.R - R script used to generate raw tables with aggregated data for all single response questions

DIAMAS_Tables_multiple.R - R script used to generate raw tables with aggregated data for all multiple response questions

DIAMAS_Tables_layout.R - R script used to generate document with formatted tables from raw tables with aggregated data

DIAMAS Survey on Instititutional Publishing - data availability statement (pdf)

All data are made available under a CC0 license.

Table A: All prion NHP reports from which data were evaluated for inclusion in the present study. Table B: The full prion-infected NHP dataset used for analysis. Table C: All NHP species used in the studies evaluated for inclusion. Supplemental References. (XLSX)