ABSTRACT For the release of pharmaceutical products into the drug market; most of the pharmaceutical companies depend on acceptance criteria - that are set internally, regulatory and/or pharmacopeially. However, statistical process control monitoring is underestimated in most quality control in cases; although it is important not only for process stability and efficiency assessment but also for compliance with all appropriate pharmaceutical practices such as good manufacturing practice and good laboratory practice, known collectively as GXP. The current work aims to investigate two tablet inspection characteristics monitored during in-process control viz. tablet average weight and hardness. Both properties were assessed during the compression phase of the tablet and before the coating stage. Data gathering was performed by the Quality Assurance Team and processed by Commercial Statistical Software packages. Screening of collected results of 31 batches of an antibacterial tablet - based on Fluoroquinolone -showed that all the tested lots met the release specifications, although the process mean has been unstable which could be strongly evident in the variable control chart. Accordingly, the two inspected processes were not in the state of control and require strong actions to correct for the non-compliance to GXP. What is not controlled cannot be predicted in the future and thus the capability analysis would be of no value except to show the process capability retrospectively only. Setting the rules for the application of Statistical Process Control (SPC) should be mandated by Regulatory Agencies.

The data in this package include fish abundance, length, biomass, and presence/absence data collected at High Priority Reef Areas (HPRA) by Guam Long-term Coral Reef Monitoring Program (GLTMP) biologists. The monitoring team uses a Stationary Point Count Method, adapted from Ault et al. (2006) and NOAA Fisheries, Coral Reef Ecosystem Division (Williams et al., 2011), to conduct the reef fish surveys. These data were collected using a split-panel sampling approach, whereby a mix of permanent and non-permanent sampling stations (one sampling station = one transect) were visited within each HPRA. The HPRAs were selected by an advisory body comprised of reef managers, researchers, and technicians. The sites were not selected randomly from around the island and thus should not be considered representative of reef condition at the island-scale. While the general location of the HPRAs were selected based on management priority, the site boundaries were delineated using bathymetry and benthic habitat data within ArcGIS and the locations of the sampling stations were generated randomly within each site’s boundaries using ArcGIS. The reef fish SPC surveys, as well as benthic photo transect, macroinvertebrate belt transect, coral quadrat (through 2019), and rugosity surveys were carried out on an annual basis along the seaward slope between 7 and 15 m depth in the Tumon Bay Marine Preserve and in East Agana Bay, while surveys were carried out biennially within the Piti Bomb Holes Marine Preserve, the Achang Reef Flat Marine Preserve, the eastern side of the Cocos Barrier Reef (Cocos-East), and Fouha Bay. Surveys were also carried at along reef margin (1-2 m) and slope (2-15 m) of Western Shoals, in Apra Harbor, in 2011. The GLTMP has conducted surveys at the Tumon and East Agana HPRAs since 2010 and the Piti HPRA since 2012. Data collection for the Achang and Cocos-East HPRAs began in 2014 and at the Fouha Bay HPRA in 2015. Baseline data is available for the Western Shoals HPRA from 2011 but this site has not been re-visited since its establishment due to shifting management priorities. IMPORTANT NOTE: Changes have been made to the fish SPC survey methodology since its first deployment in 2010. These changes, which are documented in detail in the Data Quality and Lineage sections of the NOAA InPort metadata record, must be considered in order to properly analyze these data. Also, please note that the results of a 2020 analysis of the fish SPC data conducted by Dr. Peter Houk of the University of Guam Marine Laboratory, and a 2023 analysis carried out by the GLTMP coordinator, found significant interobserver biases that must be taken into account during any analysis of these data. Dr. Houk's analysis also suggested that data collected in 2010 and 2011 by a relatively inexperienced observer did not meet quality assurance standards. Observations recorded by this observer were not included in the dataset submitted to NCEI; however, these data can be made available upon request. More information regarding the accuracy, bias, and comparability of these data can be found in the InPort metadata record.

This polygon shapefile contains the census 2010 blocks in the SPC region. Census blocks are the smallest unit for census data collection, and are used as " building blocks " for the other geographic boundaries used by the Census Bureau. In an urban setting, blocks are commonly the length of one city block, but are larger in more rural areas and are defined by features such as roads, streams, and railroads.

This folder contains processed data (video and wearable sensors) for 16 mins of interaction that were annotated for the Conflab dataset.

./cameras ./video_segments contains the overhead video recordings for 5 cameras in MP4 files. These are split into 2 min segments, down-scaled to 960x540px, and denoised. The resulting files are the ones that were used to annotate poses and actions.

For applications that require higher resolutions, the original video files in the "data_raw" folder are at 1920x1080 resolution and a script is provided to extract the same 2min segments.

./camera-calibration contains the camera instrinsic files obtained from: https://github.com/idiap/multicamera-calibration. Camera extrinsic parameters can be calculated using the existing intrinsic parameters and the instructions in the multicamera-calibration repo. The coordinates in the image are provided by the crosses marked on the floor, which are visible in the video recordings. The crosses are 1m apart (=100cm).

./wearables contains one single dataframe with aggregated sensor information (accelerometer, gyroscope, magnetometer, rotation, proximity) per each person. The data has been interpolated and imputed at 50Hz (fixed). The code used to obtain these files from the raw data can be found at: https://github.com/TUDelft-SPC-Lab/conflab/blob/master/preprocessing/midge/preprocess.ipynb

This code can be used to preprocess larger segments of the werable data from the "data_raw" folder.

Audio files are not part of this folder, but are provided in the "data_raw" file.

This traffic-count data is provided by the City of Pittsburgh's Department of Mobility & Infrastructure (DOMI). Counters were deployed as part of traffic studies, including intersection studies, and studies covering where or whether to install speed humps. In some cases, data may have been collected by the Southwestern Pennsylvania Commission (SPC) or BikePGH.

Data is currently available for only the most-recent count at each location.

Traffic count data is important to the process for deciding where to install speed humps. According to DOMI, they may only be legally installed on streets where traffic counts fall below a minimum threshhold. Residents can request an evaluation of their street as part of DOMI's Neighborhood Traffic Calming Program. The City has also shared data on the impact of the Neighborhood Traffic Calming Program in reducing speeds.

Different studies may collect different data. Speed hump studies capture counts and speeds. SPC and BikePGH conduct counts of cyclists. Intersection studies included in this dataset may not include traffic counts, but reports of individual studies may be requested from the City. Despite the lack of count data, intersection studies are included to facilitate data requests.

Data captured by different types of counting devices are included in this data. StatTrak counters are in use by the City, and capture data on counts and speeds. More information about these devices may be found on the company's website. Data includes traffic counts and average speeds, and may also include separate counts of bicycles.

Tubes are deployed by both SPC and BikePGH and used to count cyclists. SPC may also deploy video counters to collect data.

NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.

SpatioTemporal Asset Catalog (STAC) Item - LCC_C4_64_1M_STK_GO_PA-SPC-AC-NA_v001_043050_2018-09-01_2019-08-31 in LCC_C4_64_1M_STK_GO_PA-SPC-AC-NA-1

Administrative boundaries utilized to conduct Nauru 2011 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• District

These administrative boundaries have been used to build the Nauru PopGIS3 online mapping tool https://nauru.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

Historical ownership data of GP-ACT III ACQUISITION CORP by MMCAP International Inc SPC

Abstract

Objectives: The report presents a set of population projections to provide planners and policy-makers with scenarios of the size and structure of Tonga's future population to aid planning for the differing needs of the young, working age population and elderly.

Reference Period: No

Periodicity of Data Collection: 5 years

Geographic coverage

Whole country

Analysis unit

Individuals

Universe

Population groups: All age groups

Total population covered: All country

Economic activities: All economic activities

Sectors covered: All sectors

Labor force status: All

Status in Employment: All

Establishments: NR

Other limitations: No

Classifications: Sex, age, level of education, other personal characteristics, type of living arrangements (e.g. in a household, institution), place of residence, status in employment, occupation, economic activity

Cross-classification: Na

Kind of data

Census/enumeration data [cen]

Frequency of data collection

Periodicity of Data collection: 5 years

The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

Administrative boundaries utilized to conduct Marshall Islands 2011 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• Atoll boundaries: Layer represented with a 11km buffer from the coast to improve the data representation visibility.

These administrative boundaries have been used to build the Marshall Islands PopGIS3 online mapping tool https://rmi.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

Wave data collection in Kadavu, Fiji from June 1991 to December 1993.

Administrative boundaries utilized to conduct Fiji 2017 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• Tikina boundaries
• Province boundaries

These administrative boundaries have been used to build the Fiji PopGIS3 online mapping tool http://fiji.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

High-resolution visible satellite imagery (Quickbird) was acquired and a physics-based model inversion process used to estimate water column depth. The methodology for this project and assessments of accuracy are extensively report by Botha (2012) and Botha et al. (2013). Lineage: Quickbird satellite data, other bathymetric survey data provided by SPC-SOPAC

Administrative boundaries utilized to conduct Tuvalu 2012 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• Village boundaries
• Island boundaries.

These administrative boundaries have been used to build the Tuvalu PopGIS3 online mapping tool https://tuvalu.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

Teitelbaum A., Yeeting B., Kinch J., Ponia B. 2010. Aquarium trade in the Pacific. SPC Live Reef Fish Information Bulletin 19:3-6.

Kronen M., Stacey N., Holland P., Magron F., Power M. c2007. Socioeconomic fisheries surveys in Pacific Islands : a manual for the collection of a minimum dataset. Noumea, New Caledonia: Secretariat of the Pacific Community,. xi, 129 p.

Johannes R.E., Ogburn N.J. 1999. Collecting grouper seed for aquaculture in the Philippines. SPC Live Reef Fish Information Bulletin 6:35-48.

Administrative boundaries utilized to conduct Federated States of Micronesia 2010 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• Municipality boundaries
• State boundaries

These administrative boundaries have been used to build the FSM PopGIS3 online mapping tool http://fsm.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

Rubec P.J., Cruz F.P. 2005. Monitoring the chain of custody to reduce delayed mortality of net-caught fish in the aquarium trade. SPC Live Reef Fish Information Bulletin 13:13-23.