60 datasets found
  1. d

    Harmony and Area Watershed Enhancement Group Water Quality Monitoring

    • datastream.org
    Updated May 22, 2025
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    Harmony and Area Watershed Enhancement Group (2025). Harmony and Area Watershed Enhancement Group Water Quality Monitoring [Dataset]. http://doi.org/10.25976/rk41-ao26
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    Dataset updated
    May 22, 2025
    Dataset provided by
    DataStream
    Authors
    Harmony and Area Watershed Enhancement Group
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Time period covered
    Jul 30, 2020 - Aug 29, 2023
    Area covered
    Description

    The Harmony and Area Watershed Enhancement Group water monitoring project aims to build community partnerships, identify field sites, and develop and implement sampling protocols for long term, community-based monitoring of the Harmony area watershed system. Water quality data is collected through a combination of portable and stationary water quality sensors and loggers.

  2. E

    Electronic Offender Monitoring Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 5, 2025
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    Data Insights Market (2025). Electronic Offender Monitoring Report [Dataset]. https://www.datainsightsmarket.com/reports/electronic-offender-monitoring-910386
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Electronic Offender Monitoring (EOM) market is experiencing robust growth, driven by increasing crime rates, a rising preference for cost-effective alternatives to incarceration, and advancements in monitoring technologies. The market's expansion is further fueled by the growing adoption of GPS tracking devices, smartphone-based monitoring solutions, and the integration of AI and machine learning for enhanced surveillance and risk assessment. Government initiatives promoting community corrections and rehabilitation programs are also significantly contributing to the market's upward trajectory. While challenges remain, such as concerns about privacy violations and the potential for technological failures, the overall market outlook remains positive. We estimate the 2025 market size to be around $2.5 billion, based on industry reports indicating a consistent growth rate within the correctional technology sector. This figure is projected to increase steadily over the forecast period (2025-2033), driven by the factors mentioned above. The competitive landscape is characterized by a mix of established players and emerging technology providers. Major companies like Alcohol Monitoring Systems, G4S, and Securus Technologies are leveraging their extensive experience in security and surveillance to dominate market share. However, innovative startups and smaller firms are rapidly gaining ground by offering advanced solutions that integrate AI, IoT, and cloud-based analytics. This increased competition is driving innovation and lowering costs, making EOM solutions more accessible to correctional facilities and law enforcement agencies. Regional variations exist, with North America and Europe currently leading the market, followed by Asia-Pacific. However, emerging economies are expected to witness significant growth in the coming years due to increasing investments in public safety infrastructure. The long-term forecast for the EOM market is optimistic, with consistent growth expected throughout the next decade.

  3. E

    Electronic Offender Monitoring Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 15, 2025
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    Data Insights Market (2025). Electronic Offender Monitoring Software Report [Dataset]. https://www.datainsightsmarket.com/reports/electronic-offender-monitoring-software-1971763
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Electronic Offender Monitoring (EOM) software market is experiencing robust growth, driven by increasing crime rates, the need for cost-effective alternatives to incarceration, and advancements in GPS and alcohol detection technologies. The market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of GPS tracking systems for various applications, including inmate monitoring, home curfew programs, and domestic violence deterrence initiatives, is significantly contributing to market growth. Secondly, technological advancements, such as the development of more accurate and reliable alcohol monitoring systems, are enhancing the effectiveness and reliability of EOM solutions. Furthermore, increasing government initiatives focused on rehabilitation and community-based corrections are fostering a favorable regulatory environment for the expansion of EOM technologies. However, the market faces certain restraints. Data privacy concerns and the potential for system malfunctions or inaccuracies remain significant challenges. The high initial investment costs associated with implementing and maintaining EOM systems can also hinder widespread adoption, particularly in resource-constrained regions. Despite these challenges, the overall market outlook remains positive, driven by the increasing preference for cost-effective and efficient crime management strategies. The segmentation of the market into application types (GPS tracking, inmate monitoring, home curfew, domestic violence deterrence) and device types (alcohol monitoring systems, GPS devices) presents various opportunities for specialized players. North America currently dominates the market share, followed by Europe and Asia Pacific, reflecting higher adoption rates in developed economies. Growth in developing nations is anticipated as awareness and infrastructure improves.

  4. MaMoni Health Systems Strengthening (MaMoni HSS) Population-Based Tracer...

    • catalog.data.gov
    Updated Jul 13, 2024
    + more versions
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    data.usaid.gov (2024). MaMoni Health Systems Strengthening (MaMoni HSS) Population-Based Tracer Indicator Survey Bangladesh [Dataset]. https://catalog.data.gov/dataset/mamoni-health-systems-strengthening-mamoni-hss-population-based-tracer-indicator-survey-ba
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    Dataset updated
    Jul 13, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Area covered
    Bangladesh
    Description

    MaMoni Health Systems Strengthening (MaMoni HSS) is a USAID-funded project of four years duration (2013-2017) under the global Maternal and Child Health Integrated Program (MCHIP) – an associate award, which focuses on strengthening the systems and standards for maternal, newborn and child health, family planning and nutrition (MNCH/FP/N). Through funding from USAID in 2013, MaMoni HSS was started under MCHIP and is implemented by a consortium led by Jhpiego in partnership with Save the Children, John Snow Inc. (JSI), and Johns Hopkins University Institute of International Programs (JHU/IIP). In Bangladesh, the implementation is led by Save the Children in close partnership with the Government of Bangladesh and other national partners and collaborating agencies. Since its inception, project monitoring data were collected through community-based surveys every six months to track the progress of implementation; this process was labeled “tracer survey” since data were collected on only a few indicators in order to monitor population-level coverage of the project. Questions covered maternal health, newborn health, and family planning interventions from recently delivered women (RDW) and from currently married women of reproductive age (CMWRA, 15-49 years). These data were used locally to guide project implementation and were not disseminated outside the project.

  5. E

    Maui Citizen Science Coastal Water Quality Data

    • pae-paha.pacioos.hawaii.edu
    • data.ioos.us
    • +1more
    Updated Apr 9, 2014
    + more versions
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    Coral Reef Alliance (CORAL) (2014). Maui Citizen Science Coastal Water Quality Data [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/maui_water_quality/index.html
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    Dataset updated
    Apr 9, 2014
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Coral Reef Alliance (CORAL)
    Time period covered
    Jan 29, 2010 - Mar 20, 2016
    Area covered
    Variables measured
    ph, time, latitude, salinity, longitude, sample_id, turbidity, location_id, enterococcus, location_name, and 2 more
    Description

    A network of citizen science volunteers periodically monitored water quality at several beaches across the island of Maui in the State of Hawaii during the years 2010-2016. This community-based monitoring effort provided valuable data for resource management purposes. Informed volunteer networks can serve as a community's "eyes and ears" and will often provide the first indications of changes to a system. In addition to the value of early detection, it is important to maintain ongoing monitoring efforts to compile data and document resource conditions.

    In addition to water temperature, salinity, turbidity (water clarity), and pH, sampling sites were also monitored for harmful bacteria levels of Enterococcus through 2014-06-26. This indicator bacteria has been correlated with the presence of human pathogens (disease-causing organisms) and therefore with human illnesses such as gastroenteritis, diarrhea, and various infections in epidemiological studies. As such, it is commonly measured in beach water quality monitoring programs. For reference, the U.S. Environmental Protection Agency (EPA) 1986 Ambient Water Quality Criteria for Bacteria recommends that a water quality alert is posted if either: (a.) the latest water sample exceeds 104 CFU/100 mL of Enterococcus, or (b.) the geometric mean of the past 30 days of water samples exceeds 35 CFU/100 mL. One of the limitations of all available and EPA-approved test methods is that the sample must be incubated for about 24 hours.

    Data were managed through an online repository, the Coral Reef Monitoring Data Portal (now defunct), developed and coordinated by the Coral Reef Alliance (CORAL) and its partners with funding provided by the Hawaii Tourism Authority (HTA) and the National Oceanic and Atmospheric Administration (NOAA). Data collection was coordinated by the Hawaii Division of Aquatic Resources (DAR), the Hawaiian Islands Humpback Whale National Marine Sanctuary (HIHWNMS), Aquanimity Now, the Digital Bus, Save Honolua Coalition, Project S.E.A.-Link, and other local organizations and agencies. Data are publicly distributed by the Pacific Islands Ocean Observing System (PacIOOS). acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). This dataset was managed through an online repository, the Coral Reef Monitoring Data Portal (obsolete), developed and coordinated by the Coral Reef Alliance (CORAL) and its partners with funding provided by the Hawaii Tourism Authority (HTA) and the National Oceanic and Atmospheric Administration (NOAA). Data collection was coordinated by the Hawaii Division of Aquatic Resources (DAR), the Hawaiian Islands Humpback Whale National Marine Sanctuary (HIHWNMS), Aquanimity Now, the Digital Bus, Save Honolua Coalition, Project S.E.A.-Link, and other local organizations and agencies. Data are publicly distributed by the Pacific Islands Ocean Observing System (PacIOOS). cdm_data_type=Point comment=Only a subset of sampling sites with consistent location names and frequent measurements have been ingested from the Coral Reef Monitoring Data Portal. Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2021-04-01 defaultDataQuery=&time>=2016-01-01T00:00:00Z&time<=2016-03-20T20:00:00Z defaultGraphQuery=longitude,latitude,turbidity&time>=2016-01-01T00:00:00Z&.draw=markers Easternmost_Easting=-156.4375 featureType=Point geospatial_bounds=POLYGON ((20.5241 -156.7172, 21.0736 -156.7172, 21.0736 -155.9193, 20.5241 -155.9193, 20.5241 -156.7172)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=20.9995 geospatial_lat_min=20.61845 geospatial_lat_resolution=0.0 geospatial_lat_units=degrees_north geospatial_lon_max=-156.4375 geospatial_lon_min=-156.6664 geospatial_lon_resolution=0.0 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_resolution=0.0 geospatial_vertical_units=meters history=2014-04-10T00:00:00Z PacIOOS begins ingest from Coral Reef Alliance (CORAL) Coral Reef Monitoring Data Portal into PacIOOS ERDDAP data server. 2016-03-21T00:00:00Z Project ended. infoUrl=https://coral.org/maui/ institution=Coral Reef Alliance (CORAL) instrument=In Situ/Laboratory Instruments > Chemical Meters/Analyzers > > > pH Meters, In Situ/Laboratory Instruments > Conductivity Sensors, In Situ/Laboratory Instruments > Photon/Optical Detectors > > > Turbidity Meters, In Situ/Laboratory Instruments > Samplers > Bottles/Flasks/Jars, In Situ/Laboratory Instruments > Temperature/Humidity Sensors > > > Temperature Sensors instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=climatologyMeteorologyAtmosphere, environment, health, oceans keywords_vocabulary=GCMD Science Keywords locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/maui_water_quality.html naming_authority=org.pacioos Northernmost_Northing=20.9995 platform=In Situ Land-based Platforms > Ocean Platform/Ocean Stations > Coastal Stations platform_vocabulary=GCMD Platform Keywords processing_level=Some quality control during automated ingest from Coral Reef Monitoring Data Portal to check for reasonable data ranges and units of measure for some measurement variables. program=Coral Reef Alliance (CORAL) project=Coral Reef Alliance (CORAL) references=https://coral.org/maui/ source=in situ measurements and water samples sourceUrl=(source database) Southernmost_Northing=20.61845 standard_name_vocabulary=CF Standard Name Table v39 subsetVariables=location_id, location_name time_coverage_end=2016-03-20T20:00:00Z time_coverage_start=2010-01-29T21:14:00Z Westernmost_Easting=-156.6664

  6. c

    Poverty reduction and regional integration (PRARI) data

    • datacatalogue.cessda.eu
    Updated May 27, 2025
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    Yeates, N (2025). Poverty reduction and regional integration (PRARI) data [Dataset]. http://doi.org/10.5255/UKDA-SN-852837
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    Dataset updated
    May 27, 2025
    Dataset provided by
    The Open University
    Authors
    Yeates, N
    Time period covered
    Oct 1, 2014 - Oct 31, 2015
    Area covered
    Zambia, Ecuador, Swaziland, Botswana, Paraguay, Bolivia
    Variables measured
    Geographic Unit, Organization
    Measurement technique
    Data was generated through individual interviews and group workshops involving participants from policy and practitioner communities within two geo-political regions (SADC and UNASUR). Interviews and workshops were audio-recorded. Most of these were face-to-face, but some were undertaken by telephone.Sampling procedure was based on purposive section of interviewees and case studies. Research participants were purposively sampled based on expert knowledge and snowball strategies by three fieldwork teams. Extant specialist knowledge of the project team was supplemented by recommendations from policy actors working in the regional poverty-health field. Other data informing the analysis included existing published academic, policy and grey literature sources.
    Description

    The data collection consists of a comprehensive User Guide, 48 transcripts from individual interviews and Toolkits workshops and background documents. The interviews and workshops were conducted with diverse participants drawn from policy and practitioner fields in two geographical areas of the world: the Southern African Development Community(SADC) region in Southern Africa, and the Union of South American Nations(UNASUR) region in South America. Research participants included public officials (spanning policy formation, bio-statistical experts, monitoring and evaluation) from government ministries and regional secretariats, and representatives of health and poverty-focused civil society organisations (service and advocacy non-governmental organisations, and health practitioners).

    The data is organised into two principal file strands: Interviews and Toolkits. The Interviews file strand is sub-divided into South America (UNASUR) and Southern Africa (SADC) components. Each of these strands contains qualitative data, while the Toolkits data also contains quantitative data (indicators). This data is already published in the Toolkits themselves and freely available, but for the convenience of the user of this dataset is included in this deposition. Transcripts of interviews and workshops relating to the UNASUR regional health governance component of the project are in the Spanish language, and this may limit access for some users; all other transcripts are in English. The User Guide contains further information about the organisation of the research within the project, the analytical methods framing the cross-regional comparative analysis and the Toolkits, a list of acronyms and abbreviations for the English and Spanish language elements of the project, and project documents (workshop schedules and sample project information sheets, consent forms and interview guides) in the English language.

    The growing presence of multilateral regional organisations in public policy making is increasingly the subject of North-South and South-South development agendas. It is also generating development initiatives and research into the benefits of regional economic integration for public goods provision and for people living in poverty. Regional integration ambitions and initiatives extend beyond commercial trade and investment to embrace health and welfare policy. However, little is known about whether and how regional commitments on reducing poverty and enhancing social equity are being implemented in these domains, and what kinds of regional policy development processes are conducive to the emergence of embedded ‘pro-poor’ approaches in regional and national spheres.

    This project examined Southern multilateral regional organisations' approaches to poverty reduction through regional health policy, in particular access to health and medicines. It was guided by the following questions: what regional institutional practices and methods of regional policy formation are conducive to the emergence of embedded ‘pro-poor’ health strategies, and what can national, regional and international partners do to promote such practices and methods? The project investigated regional agendas and ambitions, regional programmes of action and regional processes of policy development of the Southern African Development Community (SADC) and the Union of South American Nations (UNASUR). It undertook in-depth fieldwork in relation to SADC and UNASUR as regional organisations and in relation to low-income member states of SADC (Zambia, Swaziland) and UNASUR (Bolivia and Paraguay) which are confronted with serious socio-economic challenges, low levels of service delivery and immense public health challenges.

    The project also developed regional indicators-based monitoring systems. Previous such systems developed systems for monitoring regional integration policies in the economic sphere but this project sought to give proper attention to the regional social sphere. To this end, in collaboration with stakeholders from policy and practitioner communities in SADC and UNASUR regions, the project developed indicator-based systems (‘Toolkits’) for monitoring regional health policy change and success which incorporated a focus on ‘pro-poor’ indicators.

    The research design was informed by international comparative research methodology in relation to the study of SADC and UNASUR regional health governance, policy and programming, and by collaborative modes of Participatory Action Research in relation to the PRARI Monitoring Toolkits. Data was collected using available datasets and official documents plus individual interviews, workshops and consultations with sampled members of policy and practitioner communities within the SADC and UNASUR regions. These methods allowed the project to contribute evidence and analytical perspectives capable of informing processes of regionalisation as they relate to health policy, and in particular the...

  7. C

    Cleanroom Building Management System Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 2, 2025
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    Data Insights Market (2025). Cleanroom Building Management System Report [Dataset]. https://www.datainsightsmarket.com/reports/cleanroom-building-management-system-862190
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Cleanroom Building Management System (CBMS) market, valued at $253 million in 2025, is projected to experience robust growth, driven by the increasing demand for controlled environments in pharmaceutical, biotechnology, and semiconductor industries. The 6.8% CAGR indicates a significant expansion through 2033, fueled by several key factors. Stringent regulatory compliance requirements necessitate sophisticated monitoring and control systems for cleanrooms, leading to higher adoption of CBMS. Furthermore, the rising need for energy efficiency and reduced operational costs within these critical environments is driving the integration of advanced technologies such as IoT and AI within CBMS solutions. This enables real-time monitoring, predictive maintenance, and optimized resource allocation, contributing to substantial cost savings over the long term. Competitive landscape analysis reveals key players like AirCare Automation, Alptek, ABB, Air Innovations, Siemens, Johnson Controls, Schneider, Honeywell, Trane, Delta Controls, and HVAX actively participating in market expansion through innovation and strategic partnerships. The market segmentation, though not explicitly provided, can be reasonably inferred based on industry trends. We can expect segmentation by system type (e.g., HVAC, lighting, access control), by industry vertical (e.g., pharmaceutical, semiconductor, healthcare), and by geographical region (e.g., North America, Europe, Asia-Pacific). Potential restraints include the high initial investment costs associated with CBMS implementation and the complexity of integrating diverse systems. However, the long-term benefits in terms of improved operational efficiency, reduced risks, and enhanced product quality are expected to outweigh these initial hurdles, ensuring sustained market growth throughout the forecast period. Future growth will be significantly influenced by technological advancements, regulatory changes, and the increasing adoption of cloud-based solutions for improved data management and remote monitoring capabilities.

  8. D

    Environmental Monitoring System (Historical to 31 July 2020)

    • data.nsw.gov.au
    csv, https, json
    Updated May 7, 2021
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    Lake Macquarie City Council (2021). Environmental Monitoring System (Historical to 31 July 2020) [Dataset]. https://data.nsw.gov.au/data/dataset/environmental-monitoring-system-historical-to-31-july-2020
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    csv(30837394), https, json(135426070)Available download formats
    Dataset updated
    May 7, 2021
    Dataset provided by
    Lake Macquarie City Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Lake Macquarie City Council through its Smart Cities program of works collects environmental monitoring data using sensors on Council’s Community IoT Network. Data collected includes temperature, humidity, air quality (PM10, PM2.5, PM1, Carbon monoxide, Ozone, Nitrogen Dioxide), wind speed, wind direction, precipitation and solar radiation.

    This historical dataset comes from Environmental Monitoring System (EMS) sensors. These sensors are built by an Australian company based in Perth, ARCS Group and were developed in partnership with the University of Technology, Sydney as part of the TULIP Project.

    Data from these sensors was collected using Council's Community IoT LoRaWAN Network - The Things Network.

    Note: These sensors were still going through in the field testing. Data provided by these sensors is to be used as a guide only, in particular ozone, carbon monoxide and nitrogen dioxide readings.

  9. E

    Electronic Offender Monitoring Solutions Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Market Research Forecast (2025). Electronic Offender Monitoring Solutions Report [Dataset]. https://www.marketresearchforecast.com/reports/electronic-offender-monitoring-solutions-34495
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Electronic Offender Monitoring (EOM) solutions market is experiencing robust growth, driven by increasing crime rates, the need for cost-effective alternatives to incarceration, and advancements in technology. The market, segmented by type (software, ankle monitors, electronic bracelets, other hardware) and application (GPS tracking, inmate monitoring, home curfew, domestic violence deterrence), shows strong potential across various regions. The integration of GPS technology and sophisticated data analytics capabilities within EOM systems is a key trend, enhancing surveillance effectiveness and improving risk assessment. Furthermore, the growing adoption of remote monitoring technologies reduces the strain on correctional facilities and lowers overall costs associated with traditional incarceration methods. This shift toward community-based corrections is fueling demand for reliable and user-friendly EOM solutions. The market is also witnessing the rise of AI-powered solutions that automate tasks, improve accuracy, and provide predictive analytics for better risk management. Competition in the EOM market is intense, with established players like Allied Universal and Securus Technologies vying for market share alongside emerging technology providers. Despite the growth, challenges remain, including concerns around data privacy and security, the potential for system malfunctions, and the need for consistent regulatory frameworks across different jurisdictions. Addressing these challenges will be crucial for sustained market growth. The North American market currently holds a significant share, attributable to high adoption rates and advanced technological infrastructure. However, other regions, notably in Asia-Pacific and Europe, are projected to witness considerable growth in the coming years, driven by increasing investments in public safety and advancements in mobile technology. Overall, the market exhibits positive growth potential in the next decade, driven by technological innovation, increasing government initiatives and the continuous need for cost-effective and efficient correctional solutions.

  10. m

    Global IoT Air Quality Monitoring System Market Size, Trends and Projections...

    • marketresearchintellect.com
    Updated Jan 31, 2024
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    Market Research Intellect (2024). Global IoT Air Quality Monitoring System Market Size, Trends and Projections [Dataset]. https://www.marketresearchintellect.com/product/iot-air-quality-monitoring-system-market/
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    Dataset updated
    Jan 31, 2024
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The size and share of the market is categorized based on Type (On-premises, Cloud-based) and Application (Community, Hospital, School, Other) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

  11. u

    Quadrat-based monitoring of desert grassland vegetation at the Jornada...

    • agdatacommons.nal.usda.gov
    • search.dataone.org
    • +4more
    bin
    Updated Aug 30, 2024
    + more versions
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    Kris Havstad; Erica Christensen (2024). Quadrat-based monitoring of desert grassland vegetation at the Jornada Experimental Range, New Mexico, 1915-2016 [Dataset]. http://doi.org/10.6073/pasta/cf6b1f5845078fbbf82053bb3594faef
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    binAvailable download formats
    Dataset updated
    Aug 30, 2024
    Dataset provided by
    Environmental Data Initiative (EDI)
    Authors
    Kris Havstad; Erica Christensen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Mexico, Jornada
    Description

    The data set covers a 101-year period (1915-2016) of quadrat-based plant sampling at the Jornada Experimental Range in southern New Mexico. At each sampling event, a pantograph was used to record the location and perimeter of living plants within permanent quadrats. Basal area was recorded for perennial grass species, canopy cover area was recorded for shrub species, and all other perennial species were recorded as point data. The data set includes 122 1m by 1m permanent quadrats, although not all quadrats were sampled in each year of the study and there is a gap in monitoring from 1980-1995. These data provide a unique opportunity to investigate changes in the plant community over 100 years of variation in precipitation and other environmental conditions. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) data table containing coordinates (x,y) of perennial species within quadrats, including cover area for grasses and shrubs; (3) data table of counts of annual plant individuals per quadrat; (4) species list indicating growth form and habit of recorded species; (5) table of dates when each quadrat was sampled; (6) table of the pasture each quadrat was located within (note that pasture boundaries have changed over time). Additional data to help characterize plant-scale factors related to vegetation dynamics at the quadrat locations are: (7) data table of depth to caliche layer; (8) data table of soil particle size analysis and sand fractionation; and (9) data table of local and patch topography. This data package was created to support a specific data paper. Data are also available in data packages knb-lter-jrn.210351001, knb-lter-jrn.210351002, and knb-lter-jrn.210351003. Pantograph sampling is currently conducted at 5 year intervals by USDA-ARS staff, and new data will be added to those data packages periodically.

  12. f

    Strengthening Community-Based Vital Events Reporting for Real-Time...

    • plos.figshare.com
    docx
    Updated Jun 3, 2023
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    Olga Joos; Agbessi Amouzou; Romesh Silva; Benjamin Banda; Lois Park; Jennifer Bryce; Mercy Kanyuka (2023). Strengthening Community-Based Vital Events Reporting for Real-Time Monitoring of Under-Five Mortality: Lessons Learned from the Balaka and Salima Districts in Malawi [Dataset]. http://doi.org/10.1371/journal.pone.0138406
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Olga Joos; Agbessi Amouzou; Romesh Silva; Benjamin Banda; Lois Park; Jennifer Bryce; Mercy Kanyuka
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Salima, Malawi
    Description

    BackgroundMalawi ratified a compulsory birth and death registration system in 2009. Until it captures complete coverage of vital events, Malawi relies on other data sources to calculate mortality estimates. We tested a community-based method to estimate annual under-five mortality rates (U5MR) through the Real-Time Monitoring of Under-Five Mortality (RMM) project in Malawi. We implemented RMM in two phases, and conducted an independent evaluation of phase one after 21 months of implementation. We present results of the phase two validation that covers the full project time span, and compare the results to those of the phase one validation.Methods and FindingsWe assessed the completeness of the counts of births and deaths and the accuracy of disaggregated U5MR from the community-based method against a retrospective full pregnancy history for rolling twelve-month periods after the independent evaluation. We used full pregnancy histories collected through household interviews carried out between November 2013 and January 2014 as the validation data source. Health Surveillance Agents (HSAs) across the 160 catchment areas submitted routine reports on pregnancies, births, and deaths consistently. However, for the 15-month implementation period post-evaluation, average completeness of birth event reporting was 76%, whereas average completeness of death event reporting was 67% relative to that expected from a comparable pregnancy history. HSAs underestimated the U5MR by an average of 21% relative to that estimated from a comparable pregnancy history.ConclusionsOn a medium scale, the community-based RMM method in Malawi produced substantial underestimates of annualized U5MR relative to those obtained from a full pregnancy history, despite the additional incentives and quality-control activities. We were not able to achieve an optimum level of incentive and support to make the system work while ensuring sustainability. Lessons learned from the implementation of RMM can inform programs supporting community-based interventions through HSAs in Malawi.

  13. h

    Data from: Insights from the Think&EatGreen@School Project: How a...

    • hsscommons.ca
    Updated Mar 19, 2025
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    Alejandro Rojas; Jennifer Black; Elena Orrego; Gwen Chapman; Will Valley (2025). Insights from the Think&EatGreen@School Project: How a community-based action research project contributed to healthy and sustainable school food systems in Vancouver [Dataset]. http://doi.org/10.15353/cfs-rcea.v4i2.225
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    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Canadian HSS Commons
    Authors
    Alejandro Rojas; Jennifer Black; Elena Orrego; Gwen Chapman; Will Valley
    Area covered
    Vancouver
    Description

    From 2010 to 2016 the Think&EatGreen@School project worked to create healthy and sustainable school food systems in the Vancouver School Board. Using models of Community-Engaged Scholarship and Community-Based Action Research, we implemented diverse programmatic and monitoring activities to provide students and teachers with hands-on food cycle education, in order to influence policy, and to encourage university students to engage actively with the food system. Our focus was on transformation of local school food systems as a context-specific means to address serious global issues related to food security, health and environmental sustainability. This paper provides a synthesis of the project including the context that led to its inception, its overarching goals, methodological framework and areas of impact. Key learnings from this project highlight the need for continued work to integrate research, teaching and action on global food security, environmental and public health challenges and to build connections to create healthy, sustainable school food systems.

  14. d

    The workload of manual data entry for integration between mobile health...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 26, 2024
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    Caryl Feldacker; Joel usiri; Christine Kiruthu-Kamamia; Geetha Waehre; Hiwot Weldemariam; Jacqueline Huwa; Agness Thawani; Mirriam Chapanda; Hannock Tweya; Jessie Hau (2024). The workload of manual data entry for integration between mobile health applications and eHealth infrastructure [Dataset]. http://doi.org/10.5061/dryad.66t1g1k8q
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Caryl Feldacker; Joel usiri; Christine Kiruthu-Kamamia; Geetha Waehre; Hiwot Weldemariam; Jacqueline Huwa; Agness Thawani; Mirriam Chapanda; Hannock Tweya; Jessie Hau
    Description

    In this study, we conducted a time-motion study observing healthcare workers (HCWs) completing data management activities including monitoring and evaluation (M&E) and manual data linkage of individual-level app data to electronic medical records (EMRS). This study served as a baseline study for an open-source app to mirror EMRS and reduce HCW workload while improving care in the Nurse-led Community-based Antiretroviral therapy Program (NCAP) in Lilongwe, Malawi. , , , # The workload of manual data entry for integration between mobile health applications and eHealth infrastructure

    Corresponding author (Caryl Feldacker): cfeld@uw.edu

    Cite this dataset

    Data will be made available at Dryad upon acceptance at this link: https://doi.org/10.5061/dryad.k0p2ngfdz

    Dataset Include

    Data dictionary

    • Was verbal consent of the health care provider given? (1 = Yes, 2 = No)
    • What was the provider Cadre that was observed (1 = Community health service nurse, 2 = Data officer, 3 = IT officer/Manager, 4= Other)
    • The time arrived at the facility
    • Facility Name (1-9)
    • Observer code
    • Length of time an individual's cadre has spent at a facility working on NCAP activities (1 = < 1 year, 2 = 1 - 5 years, 3 = 6 - 10 years, 4 = more than 10 years).
    • Highest level of academic qualification (1 = Diploma or above, 2 = Certificate, 3 = MSCE, 4 = JCE/PSL, 5 = Other).
    • Main activit...
  15. A

    How we support Wilderness Character Monitoring in the National Wildlife...

    • data.amerigeoss.org
    • data.wu.ac.at
    pdf
    Updated Jul 7, 2017
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    United States (2017). How we support Wilderness Character Monitoring in the National Wildlife Refuge System [Dataset]. https://data.amerigeoss.org/km/dataset/how-we-support-wilderness-character-monitoring-in-the-national-wildlife-refuge-system
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    pdfAvailable download formats
    Dataset updated
    Jul 7, 2017
    Dataset provided by
    United States
    Description

    This document outlines the support for Wilderness Character Monitoring the National Wildlife Refuge System. From local to national, we have a key role in addressing wilderness change through Wilderness Character Monitoring (WCM). The support provided at each level within the National Wildlife Refuge System is based on the interagency strategy, Keeping It Wild 2. Based on the measures selected by each refuge, this monitoring calls for consistent data collection and entry to maintain the integrity of the Wilderness Character Monitoring Database (WCMD). This document may be used as a reference in understanding the how local to national levels can play a part in Wilderness Character Monitoring.

  16. d

    Ningaloo Community Coral Reef Monitoring, Education & Awareness Program.

    • data.gov.au
    Updated Jan 6, 2008
    + more versions
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    iVEC (2008). Ningaloo Community Coral Reef Monitoring, Education & Awareness Program. [Dataset]. https://data.gov.au/dataset/ds-aodn-516811d7-cbf4-207a-e0440003ba8c79dd
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    Dataset updated
    Jan 6, 2008
    Dataset provided by
    iVEC
    Description

    Project purpose: enhance and protect the coral reef biodiversity and habitat in the Ningaloo Region through a communication & awareness raising program and the establishment of a sustainable …Show full descriptionProject purpose: enhance and protect the coral reef biodiversity and habitat in the Ningaloo Region through a communication & awareness raising program and the establishment of a sustainable long-term community coral reef monitoring program that will not only provide a vital baseline from which future studies will be based but will also act as an early warning system to the deterioration of ecosystem health. The program aims to build community capacity to contribute significantly to sustainable natural resource management through their participation in coral reef monitoring. Under the umbrella of the Department of Conservation & Land Management's Marine Community Monitoring Program, information collected will contribute to local datasets which will enhance effective sustainable management of these resources and ultimately contribute to improving their condition. By adopting the Reef Check methodology there is scope to magnify the success of both programs to provide high quality reef health information to the community, global coral reef health reporting initiatives, reef research partners, marine tourism industry sponsors and reef resource management authorities. The awareness raising component aims to provide the means of communication through which information can be passed from the scientific community to the local and tourism communities and to equip the local community with an understanding of the worth of their involvement.

  17. Syria Market Monitoring Exercise- April 2015

    • data.amerigeoss.org
    xls
    Updated Oct 12, 2021
    + more versions
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    UN Humanitarian Data Exchange (2021). Syria Market Monitoring Exercise- April 2015 [Dataset]. https://data.amerigeoss.org/ja/dataset/syria-market-monitoring-exercise-april-2015
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    xls(434688)Available download formats
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    United Nationshttp://un.org/
    Description

    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

    Resources

    • April 2015

    Credit

    The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.

  18. d

    He Mātai i te Taiao - Dataset - data.govt.nz - discover and use data

    • catalogue.data.govt.nz
    Updated Apr 27, 2025
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    (2025). He Mātai i te Taiao - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/he-matai-i-te-taiao
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    Dataset updated
    Apr 27, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Tranche 2: Strategic Objective 2 He Mātai i te Taiao - The perpetual examination of the environment Aotearoa New Zealand is missing the voice of Māori and an adherence to Te Tiriti o Waitangi in it’s biodiversity monitoring efforts. That is, data that has been collected using Te Ao Māori frameworks, created within Māori worldviews, kaupapa Māori methods, and mātauranga Māori approaches and experiences. There is a critical role for the development of Mātauranga-a-iwi-based monitoring tools that provides evidence which can empower kaitiaki to self-authorise local action in the restoration of biodiversity. For this research programme, we are defining Mātauranga-a-iwi as a body of knowledge, beliefs, stories, traditions, practices, institutions, and worldviews developed and sustained by the interaction of tangata whenua with their biophysical environment. We are aiming to establish an enduring biocultural approach to biodiversity monitoring which will be grounded in Te Ao Māori and reconnect Māori to their lands, waters and taonga. Our programme is underpinned by investment in kaitiaki capability and capacity to generate, collect and use evidence that is relevant to them and central to their livelihoods, cultural heritage and identity now and into the future. What makes Te Ao Māori frameworks? In the first research area we are asking what the structures, key principles and constructs make up Te Ao Māori frameworks? Then within these frameworks, what are the indicators and measure that kaitiaki use to inform them about the state of the environment? Based on our case studies we are investigating how different indicators ‘fit together’ to create a holistic view of environmental or population health. Monitoring systems may also differ depending on the context in which they were developed. Are the species monitored as part as customary harvest? Or was the framework purely developed to understand the state of nature as is stands today? We are looking at how these differences impact the monitoring programmes themselves, as well as the knowledge they produce. Development and training Through case studies, this project will support the development and training of kaitiaki, tauīra, and rangatahi through knowledge immersion, generation and transfer institutions. We are adopting and adapting the concept of Whata Kōrero to support capacity building and development. Each Whata Kōrero will be designed and implemented based on the kawa and tikanga of each individual Iwi. They are applying learning processes in both the conceptual and physical application space. Our tohunga, matanga, pūkenga and practitioners are interacting with kaitiaki, tauīra, and rangatahi to build their confidence with mātauranga, pūrākau, and te reo Māori within the context of the monitoring case studies. In addition, we are working with a local secondary school to develop a Year-11 Mātauranga and Science course that will be part of NZCEA curriculum. It is proposed that this trial course will inform the development of similar modules around the country. From community to national uptake and governance There are often barriers to taking place-based information and implementing that knowledge at a larger, sometimes even national, scale. Within this research area we are looking into the cultural institutes, mechanisms and instruments that can overcome these barriers. We are determining where and how the results of community monitoring initiatives are best used. In this, we align closely with an initiative supported within Te Mana o te Taiao 2020 (New Zealand Biodiversity Strategy 2020) to determine what kaitiaki need to deliver their responsibilities to biodiversity and their communities and work towards rangatiratanga-based systems that will enable that. LEADERS: Phil Lyver - Ngāti Toarangatira (Manaaki Whenua - Landcare Research) Puke Timoti -Tūhoe (Manaaki Whenua - Landcare Research)

  19. g

    Myanmar National Health Plan 2017 - 2021 | gimi9.com

    • gimi9.com
    Updated Mar 23, 2025
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    (2025). Myanmar National Health Plan 2017 - 2021 | gimi9.com [Dataset]. https://gimi9.com/dataset/mekong_myanmar-national-health-plan-2017-2021
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    Dataset updated
    Mar 23, 2025
    Area covered
    Myanmar (Burma)
    Description

    The formulation of the National Health Plan 2017- 2021 presents a unique opportunity to outline a new path for the health system that will help the country move towards Universal Health Coverage in an equitable, effective and efficient manner. This Plan differs from previous National Health Plans in both its formulation process and scope. In the formulation process, a wide range of stakeholders, like-minded organizations and development partners were actively involved. Features of the Plan that are noteworthy include: its focus on ensuring access to essential health services for the entire population; its emphasis on primary health care delivered at township level and below; its consideration for involvement of healthcare providers outside Ministry of Health and Sports; its switch from top-down planning to a more inclusive bottom-up approach; and its recognition of the importance of health systems strengthening from all perspectives. Having a strong, cohesive and compact National Health Plan is fundamental to achieving our ultimate objective of improving overall health status of the population. Yet, success will only be achieved through effective and systematic implementation with built-in monitoring system and time-to-time evaluation. This will be guided by Annual Operational Plans, which will involve close collaboration among the many actors and active participation of the communities and community-based organizations.

  20. f

    Table_2_A Standardized Workflow Based on the STAVIRO Unbaited Underwater...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
    + more versions
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    Dominique Pelletier; David Roos; Marc Bouchoucha; Thomas Schohn; William Roman; Charles Gonson; Thomas Bockel; Liliane Carpentier; Bastien Preuss; Abigail Powell; Jessica Garcia; Matthias Gaboriau; Florent Cadé; Coline Royaux; Yvan Le Bras; Yves Reecht (2023). Table_2_A Standardized Workflow Based on the STAVIRO Unbaited Underwater Video System for Monitoring Fish and Habitat Essential Biodiversity Variables in Coastal Areas.DOCX [Dataset]. http://doi.org/10.3389/fmars.2021.689280.s002
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Dominique Pelletier; David Roos; Marc Bouchoucha; Thomas Schohn; William Roman; Charles Gonson; Thomas Bockel; Liliane Carpentier; Bastien Preuss; Abigail Powell; Jessica Garcia; Matthias Gaboriau; Florent Cadé; Coline Royaux; Yvan Le Bras; Yves Reecht
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Essential Biodiversity Variables (EBV) related to benthic habitats and high trophic levels such as fish communities must be measured at fine scale but monitored and assessed at spatial scales that are relevant for policy and management actions. Local scales are important for assessing anthropogenic impacts, and conservation-related and fisheries management actions, while reporting on the conservation status of biodiversity to formulate national and international policies requires much broader scales. Measurements must account for the fact that coastal habitats and fish communities are heterogeneously distributed locally and at larger scales. Assessments based on in situ monitoring generally suffer from poor spatial replication and limited geographical coverage, which is challenging for area-wide assessments. Requirements for appropriate monitoring comprise cost-efficient and standardized observation protocols and data formats, spatially scalable and versatile data workflows, data that comply with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, while minimizing the environmental impact of measurements. This paper describes a standardized workflow based on remote underwater video that aims to assess fishes (at species and community levels) and habitat-related EBVs in coastal areas. This panoramic unbaited video technique was developed in 2007 to survey both fishes and benthic habitats in a cost-efficient manner, and with minimal effect on biodiversity. It can be deployed in areas where low underwater visibility is not a permanent or major limitation. The technique was consolidated and standardized and has been successfully used in varied settings over the last 12 years. We operationalized the EBV workflow by documenting the field protocol, survey design, image post-processing, EBV production and data curation. Applications of the workflow are illustrated here based on some 4,500 observations (fishes and benthic habitats) in the Pacific, Indian and Atlantic Oceans, and Mediterranean Sea. The STAVIRO’s proven track-record of utility and cost-effectiveness indicates that it should be considered by other researchers for future applications.

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Harmony and Area Watershed Enhancement Group (2025). Harmony and Area Watershed Enhancement Group Water Quality Monitoring [Dataset]. http://doi.org/10.25976/rk41-ao26

Harmony and Area Watershed Enhancement Group Water Quality Monitoring

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Dataset updated
May 22, 2025
Dataset provided by
DataStream
Authors
Harmony and Area Watershed Enhancement Group
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Time period covered
Jul 30, 2020 - Aug 29, 2023
Area covered
Description

The Harmony and Area Watershed Enhancement Group water monitoring project aims to build community partnerships, identify field sites, and develop and implement sampling protocols for long term, community-based monitoring of the Harmony area watershed system. Water quality data is collected through a combination of portable and stationary water quality sensors and loggers.

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