RP img 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 Plant Macrofossil. The data include parameters of plant macrofossil (population abundance) with a geographic _location of Ohio, United States Of America. The time period coverage is from 21284 to 21271 in calendar years before present (BP). See metadata information for parameter and study _location details. Please cite this study when using the data.

RP jmg data

Panama IPI: Value: Mfg: RP: Rubber Products data was reported at 93.536 2001=100 in Mar 2018. This records a decrease from the previous number of 94.851 2001=100 for Sep 2017. Panama IPI: Value: Mfg: RP: Rubber Products data is updated quarterly, averaging 129.718 2001=100 from Mar 2002 (Median) to Mar 2018, with 64 observations. The data reached an all-time high of 369.400 2001=100 in Dec 2003 and a record low of 61.700 2001=100 in Mar 2005. Panama IPI: Value: Mfg: RP: Rubber Products data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.B004: Industrial Production Index: Value: 2001=100: Quarterly.

This Racial Profiling dataset provides the raw data needed to identify trends in traffic stops. It is used to help identify potential improvements in department policy, tactics, and training. This data is used to produce the annual Racial Profiling report, posted on APD's website here: http://www.austintexas.gov/page/racial-profiling-reports AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.

372 Global import shipment records of Rp Bipap with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

It is a database that provides detailed information about ribosomal protein (RP) genes. It contains data from humans and other organisms. Users can search this database by gene name and organism. Each record includes sequences (genomic, cDNA, and amino acid sequences), intron/exon structures, genomic locations, and information about orthologs. In addition, users can view and compare the gene structures from different organisms and make multiple amino acid sequence alignments. RPG also provides information on small nucleolar RNAs (snoRNAs) that are encoded in the introns of RP genes.

Reference Posts are signs located in physical locations. They stay in roughly the same place over time and do not change when other sections of the road are realigned. This layer also contains current ALRS linear measures (LM) for the sign feature.This is a Roads and Highways Event Layer - RP StationingFor more information on the difference between reference post locations along the roadway and the ALRS mileage, please refer to the Linear Measure vs Sign Location informational page

237 Global import shipment records of Sellatan Rp with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.

RP img data

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

These excel spreadsheets were used to develop the two-phase and three-phase methods for converting capillary pressure to relative permeability. Data was collected by the SWP and literature sources cited in the spreadsheets.

Recognizing the value of open-source research databases in advancing the art and science of HVAC, in 2014 the ASHRAE Global Thermal Comfort Database II project was launched under the leadership of University of California at Berkeley's Center for the Built Environment and The University of Sydney's Indoor Environmental Quality (IEQ) Laboratory. The ASHRAE Global Thermal Comfort Database II (as it is known) is intended to support diverse inquiries about thermal comfort in field settings.

The exercise began with a systematic collection and harmonization of raw data from the last two decades of thermal comfort field studies around the world. The final database is comprised of field studies from around the world, with contributors releasing their raw data to the project for wider dissemination to the thermal comfort research community. After the quality-assurance process, there was a total of 77,304 rows of data of paired subjective comfort votes and objective instrumental measurements of thermal comfort parameters. An additional 25,288 rows of data from the original ASHRAE RP-884 database are included. The most recent update (version 2.1) has 6,441 new rows of data, bringing the total number of entries to 109,033.

The project was partially performed within the framework of the International Energy Agency Energy in Buildings and Communities programm (IEA-EBC) Annex 69 "Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings.

Analysis of ‘2016 RP Arrests’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/acb28ee6-c518-4758-9f51-a6259133726e on 28 January 2022.

--- Dataset description provided by original source is as follows ---

This Racial Profiling dataset provides the raw data needed to identify trends in traffic stops. It is used to help identify potential improvements in department policy, tactics, and training. This data is used to produce the annual Racial Profiling report, posted on APD's website here: http://www.austintexas.gov/page/racial-profiling-reports AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.

--- Original source retains full ownership of the source dataset ---

United States PPI: Weights: RP: RR: Miscellaneous Products (MI) data was reported at 0.347 % in 2024. This records a decrease from the previous number of 0.348 % for 2023. United States PPI: Weights: RP: RR: Miscellaneous Products (MI) data is updated yearly, averaging 0.360 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.397 % in 2015 and a record low of 0.312 % in 2007. United States PPI: Weights: RP: RR: Miscellaneous Products (MI) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I062: Producer Price Index: by Commodities: Weights.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

AbstractRecognizing the value of open-source research databases in advancing the art and science of HVAC, in 2014 the ASHRAE Global Thermal Comfort Database II project was launched under the leadership of University of California at Berkeley’s Center for the Built Environment and The University of Sydney’s Indoor Environmental Quality (IEQ) Laboratory. The ASHRAE Global Thermal Comfort Database II (as it is known) is intended to support diverse inquiries about thermal comfort in field settings. The exercise began with a systematic collection and harmonization of raw data from the last two decades of thermal comfort field studies around the world. The final database is comprised of field studies from around the world, with contributors releasing their raw data to the project for wider dissemination to the thermal comfort research community. After the quality-assurance process, there was a total of 77,304 rows of data of paired subjective comfort votes and objective instrumental measurements of thermal comfort parameters. An additional 25,288 rows of data from the original ASHRAE RP-884 database are included. The most recent update (version 2.1) has 6,441 new rows of data, bringing the total number of entries to 109,033. The project was partially performed within the framework of the International Energy Agency Energy in Buildings and Communities programm (IEA-EBC) Annex 69 "Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings. MethodsIn order to ensure that the quality of the database would permit end-users to conduct robust hypothesis testing, the team built the data collection methodology on specific requirements, as follows: Data needed to come from field experiments rather than climate chamber research, so that it represented research conducted in “real” buildings occupied by “real” people doing their normal day-to-day activities, rather than paid college students sitting in a controlled indoor environment of a climate chamber. Both instrumental (indoor climatic) and subjective (questionnaire) data were required, such that they were recorded in the same space at the same time The database needed to be built up from the raw data files generated by the original researchers, instead of their processed or published findings. The raw data needed to come with a supporting codebook explaining the coding conventions used by the data contributor, to allow harmonization with the standardized data formatting within the database. Data must have been published either in a peer-reviewed journal or conference paper. All datasets from individual studies were subject to a stringent quality assurance process before being assimilated into the database. The research team conducted a final validation by first comparing each raw dataset with its related publication provided by the data contributor to prevent transmission errors. Systematic quality control of each study was performed to ensure that records within the database were reasonable. Firstly, distributions of each variable were visualized to identify aberrant values. Then, cross-plots between two variables (e.g. thermal sensation and thermal comfort) were used to check for incorrectly coded data. Finally, a few rows from each study were randomly selected to verify consistency between the original dataset and the standardized database. Since the data came from multiple independent studies, every record did not necessarily include all of the thermal comfort variables. Where data were missing, that particular range of cells was filled with a null value. Usage notesThe dataset is seperated into a metadata table and a `measurements table. The metadata table has high-level information at the building level and is provided as a .csv file. The measurement table contiains all field measurements and is provided as a compressed comma-separated value (.csv.gz) file using UTF-8 character encoding. The first row contains human-readable column headers. Each row represents an individual’s questionnaire responses, and the associated instrumental measurements, thermal index values and outdoor meteorological observations where available. Full details can be found in the readme document.

This dataset provides information about the number of properties, residents, and average property values for R P Stephenson Drive cross streets in Bryson City, NC.

A guide used to interpret Racial Profiling Datasets from the Austin Police Department. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.