This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India gathered from World Bank hydro projects. This database has been expanded to include the International Hydropower Association (IHA) dataset for India: https://energydata.info/dataset/india-hydropower-databaseIt also includes data gathered from the FAO's public Aquastat database for Africa: http://www.fao.org/aquastat/en/databases/damsThis dataset also contains data gathered from the public Global Reservoir and Dam Database (GRanD) for Africa.The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource through the Floating Solar module. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY19 updates, the database will continue to expand to other regions until a global dataset has been completed.The current coverage spans the continent of Africa and India only, with upcoming updates to include other continents.

National Inventory of DamsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Army Corps of Engineers (USACE), displays dams within the United States, Puerto Rico and Guam. Per the USACE, "The National Inventory of Dams (NID) consists of dams meeting at least one of the following criteria:High hazard potential classification - loss of human life is likely if the dam fails.Significant hazard potential classification - no probable loss of human life but can cause economic loss, environmental damage, disruption of lifeline facilities, or impact other concerns.Equal or exceed 25 feet in height and exceed 15 acre-feet in storage.Equal or exceed 50 acre-feet storage and exceed 6 feet in height".The goal of the NID is to include all dams in the United States that meet these criteria. In most cases, dams within the NID criteria are regulated (construction permit, inspection, and/or enforcement) by federal or state agencies, who have basic information on the dams within their jurisdiction."Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (NID2019 U) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: National Inventory of Dams (NID)For more information, please visit: National Inventory of DamsFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail image courtesy of Alexander Stephens (Bureau of Reclamation)NGDA Data SetThis data set is part of the NGDA Water - Inland Theme Community. Per the Federal Geospatial Data Committee (FGDC), Water - Inland is defined as the "interior hydrologic features and characteristics, including classification, measurements, location, and extent. Includes aquifers, watersheds, wetlands, navigation, water quality, water quantity, and groundwater information."For other NGDA Content: Esri Federal Datasets

This layer is derived from a nationwide dataset. For the entire dataset, refer to the source: https://www.arcgis.com/home/item.html?id=8463445927e64a22adf881d02e6ed6d7The Dams dataset is a representation of the National Inventory of Dams (NID), maintained and published by the U.S. Army Corps of Engineers, in cooperation with the Association of State Dam Safety Officials, the states, territories, and federal agencies. It is also part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Dams dataset (NID) includes all known dams of the United States and its territories, that meet the federal definition of a dam. Dams where downstream flooding would likely result in loss of human life (high hazard potential). Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential). Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above - these low hazard potential dams equal or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal or exceed 50 acre-feet storage and exceed 6 feet in height. The database contains more than 70 data fields for each dam. This includes the dam's location, size, purpose, type, last inspection, and regulatory facts. The information is updated periodically by the state and federal agencies, reflected by the "Data Last Updated Date". For more information on dams, visit the NID web site at https://nid.sec.usace.army.mil/#.

Version 1.0 of the New Zealand (NZ) Landslide Dam Database (NZLDD) has been developed by GNS Science and contains recent, historic and prehistoric landslide dams in NZ, defined as significant, ephemeral or enduring blockages of a watercourse by a landslide. Note that Debris Trail and Dam, as mapped here, together comprise the landslide deposit, with the Dam limited to the part of the deposit damming its respective watercourse, i.e., the deposit that lies within the valley bottom. Version 1.0 contains many catalogued landslide dams, but is not a complete database of all landslide dams that have ever occurred in NZ. The database comprises five spatial datasets in New Zealand Transverse Mercator 2000 (NZTM2000) projection and one table.

The database together with a full description of the data has been published by Morgenstern et al. (2023) (accessed from https://doi.org/10.1007/s10346-023-02133-4) and can be downloaded as an ArcGIS geodatabase from https://doi.org/10.17605/OSF.IO/NW6MT

Journal article: Morgenstern R, Wolter A, Cox SC, Lukovic B, Bain D, Sirohi A, Bruce ZRV, Jones KE, Rosser BJ, Townsend DB, Massey CI. 2023 The New Zealand Landslide Dam Database, v1.0. Landslides, 21: 121-134; https://doi.org/10.1007/s10346-023-02133-4

Data: Morgenstern R, Wolter A, Cox SC, Lukovic B, Bain D, Sirohi A, Bruce ZRV, Jones KE, Rosser BJ, Townsend DB, Massey CI. 2023 The New Zealand Landslide Dam Database, v1.0. OSF. https://doi.org/10.17605/OSF.IO/NW6MT

Metadata: New Zealand Landslide Dam Database Version 1.0. https://doi.org/10.21420/47GZ-A116

The Dams dataset is a representation of the National Inventory of Dams (NID), maintained and published by the U.S. Army Corps of Engineers, in cooperation with the Association of State Dam Safety Officials, the states, territories, and federal agencies. It is also part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Dams dataset (NID) includes all known dams of the United States and its territories, that meet the federal definition of a dam. Dams where downstream flooding would likely result in loss of human life (high hazard potential). Dams where downstream flooding would likely result in disruption of access to critical facilities, damage to public and private facilities, and require difficult mitigation efforts (significant hazard potential). Dams that meet minimum height and reservoir size requirements, even though they do not pose the same level of life or economic risk as those above - these low hazard potential dams equal or exceed 25 feet in height and exceed 15 acre-feet in storage, or equal or exceed 50 acre-feet storage and exceed 6 feet in height. The database contains more than 70 data fields for each dam. This includes the dam's location, size, purpose, type, last inspection, and regulatory facts. The information is updated periodically by the state and federal agencies, reflected by the "Data Last Updated Date". For more information on dams, visit the NID web site at https://nid.sec.usace.army.mil/#. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529016

Abstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the GEODATA TOPO 250K Series 3 dataset. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. Dam (point) locations of dam walls for the Hunter subregion. Derived from the GA 1:250K topo data "Infrastructure" dataset, DamWalls feature class. Source data line features have …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the GEODATA TOPO 250K Series 3 dataset. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. Dam (point) locations of dam walls for the Hunter subregion. Derived from the GA 1:250K topo data "Infrastructure" dataset, DamWalls feature class. Source data line features have been converted to point features (centroids) for small scale map image display. Dataset History For the Hunter subregion area, Dam locations were sourced from the GA 1:250K topo data "Infrastructure" dataset, DamWalls feature class. Selected source data line features were converted to point features (centroids) using the ArcMap (10.1) FeatureToPoint tool (ArcToolbox:DataMangement/Features). Another field "MapControl" was added to the PAT and attributed as required to facilitate selective display in map images via the Definition Query feature. Dataset Citation Bioregional Assessment Programme (2014) Hunter Dam locations. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/628fa56b-c6c9-44ae-96b0-deb1a2d3327c. Dataset Ancestors Derived From GEODATA TOPO 250K Series 3

The QualityRankings table records the quality of each source dataset or reference. Where multiple references are given in the feature classes, the ranking of the highest overall quality record is assigned to the dataset. For example, if a previously-mapped dataset was updated by the Version 1.0 NZ Landslide Dam Database authors using more recent satellite imagery or terrain models, then the metadata record for the updated mapping is linked to the landslide DamSite points via the Metadata ID field. In Version 1.0 of the database, this table contains attributes that are specific to the quality of the whole source dataset, not individual landslide dams. This might be improved in future versions of the database.

Permitted dams in Iowa and associated attributes, as recorded by the Floodplain Section of the DNR. The dams regulated are those with the parameters listed below: a. Any dam designed to provide a sum of permanent and temporary storage exceeding 50 acre-feet at the top of dam elevation, or 25 acre-feet if the dam does not have an emergency spillway, and which has a height of 5 feet or more. b. Any dam designed to provide permanent storage in excess of 18 acre-feet and which has a height of 5 feet or more. c. Any dam located in or within 1 mile of an incorporated municipality, if the dam has a height of 10 feet or more, stores 10 acre-feet or more at the top of dam elevation, and is situated such that the discharge from the dam will flow through the incorporated area. d. Also regardless of dam height and storage, any urban area dam situated across a stream that has a drainage are of more than two square miles and any dam in a rural area situated across a stream that has a drainage area of more than 10 square mile. The generally known threshold is any dam that has a height of five feet or more and a permanent water storage volume of more than 18 acre-feet. The height is measure from the top of the dam to the lowest point on the downstream side of the dam, usually the streambed.

Dam Inundation maps for the State of California are required by California Government Code Section 8589.5(b). Inundation potential to cause damage to life and property is mapped for individual dams. Dam inundation maps show the maximum extent of damage of a flood wave emanating from a dam failure. The map does not indicate or infer the probability of such an event occurring. This data set represents a combined, statewide shapefile of all the dam inundation boundaries in the state. It serves as a quick index to locating all dam inundation boundaries in a particular area, or the geography of a particular inundation boundary, or group of boundaries. This shapefile is updated from time to time, and is currently located in New_CD\06_CD\Data\Arc\dam_inundation_digitizing_mrg_07.shp It has a polyline geometry structure, and dam-name attribution.

1. ISBAS InSAR time-series data for locations on the Brumadinho tailings dam.
2. Brumadinho tailings dam failure prediction data.
3. Daily rainfall data for the Cercadinho-F501 meteorological station.
4. Daily rainfall data for the Rola Moça-A555 meteorological station.
5. ISBAS InSAR time-series data for locations on the Sul Superior tailings dam.

Records showing a summary of a current consented activity related to damming surface water as recorded within Environment Canterbury's Resource Management Act Database. This layer contains dam features that are represented as points. Depending on the nature and conditions of the consent, more than location point may be associated with a single consent. The feature type property indicates the nature of the recorded activity. The layer includes details on: The type of permit (land use consent, discharge permit, etc.), the section of the RMA underwhich the activity was permitted, the current status of the permit (active, in process, etc.), the name of the applicant, a description of the location where the activity related to the permit is undertaken, and if the permit was successfully issued, the period over which the permiitted activities apply. Activity specific details related to the water use, dam volume and source of water related to the consent are also included if relavent. The layer also contains several sumary fields related to spatially defined regions the location lies with including: which territorial local authority(s); the Land and Water Regional Plan groundwater & surface water allocation zones and nutrient management zone; the Canterbury Water Management Strategy (CWMS) zone; the Ngai Tahu Runanga area of interest for Resource Consenting purposes; and the clean air zone.

This database contains parameters gathered after an assessment of the technological potential for development of floating solar photovoltaic (PV) projects on existing hydropower dams and other reservoirs, starting with a pilot in FY18 focused on West Africa and India. The database is primarily based on the information provided by FAO Aquastat Database (http://www.fao.org/nr/water/aquastat/sets/index.stm#dams) and on the data gathered from World Bank hydro projects. The database will be included in the Global Solar Atlas (http://globalsolaratlas.info/) where they will be directly linked to the solar resource maps. The purpose of the resulting Floating Solar Atlas is to enable potential developers or stakeholders to quickly navigate to the site of interest and obtain information about the potential for development of a floating solar PV project. Following the FY18 pilot, the work is likely to be scaled up to provide global coverage.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

The dataset contains dam locations stored as points for all subregions of the Bioregional Assessment Programme.

Purpose

Initially to illustrate dam localities on a number of Northern Inland Catchments bioregion map elements. Can be applied across all bioregions.

Dataset History

Dam centroids (points) have been derived from the Geoscience Australia GEODATA TOPO 250K Series 3 - Infrastructure/DamWalls layer using the ESRI ArcTools\Data Management\Feature To Point tool. The original attributes of the input features have been maintained in the output feature class.

Dataset Citation

Bioregional Assessment Programme (2014) Dams of the Bioregional Assessment subregions. Bioregional Assessment Derived Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/2ba9cbdd-136d-491e-a46c-e3cedab8ea88.

Dataset Ancestors

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From GEODATA TOPO 250K Series 3

This dataset contains the digitised boundaries of all man made waterbodies (including farm dams) in southern Victoria and all larger man made waterbodies in northern Victoria using a combination of satellite and aerial imagery. Should be used in conjunction with FARM_DAMS_POINT. This data was updated in January 2019 to improve the usefulness of the attribute data.

4226 Global exporters importers export import shipment records of Dam gate with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The USACE IENCs coverage area consists of 7,260 miles across 21 rivers primarily located in the Central United States. IENCs apply to inland waterways that are maintained for navigation by USACE for shallow-draft vessels (e.g., maintained at a depth of 9-14 feet, dependent upon the waterway project authorization). Generally, IENCs are produced for those commercially navigable waterways which the National Oceanic and Atmospheric Administration (NOAA) does not produce Electronic Navigational Charts (ENCs). However, Special Purpose IENCs may be produced in agreement with NOAA. IENC POC: IENC_POC@usace.army.mil

Abstract This dataset was derived from borehole data provided by Geoscience Australia. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. This data represents dam centroids of the Murray-Darling Basin. Purpose To illustrate dam localities on a number of Northern Inland Catchments bioregion map elements. Dataset History Dam centroids have been derived from the GEODATA …Show full descriptionAbstract This dataset was derived from borehole data provided by Geoscience Australia. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. This data represents dam centroids of the Murray-Darling Basin. Purpose To illustrate dam localities on a number of Northern Inland Catchments bioregion map elements. Dataset History Dam centroids have been derived from the GEODATA TOPO 250K Series 3 - Infrastructure/DamWalls layer. http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-ecbd-7506-e044-00144fdd4fa6/GEODATA+TOPO+250K+Series+3+(Packaged+-+Shape+file+format) Dataset Citation Bioregional Assessment Programme (2009) Dams of the Murray-Darling Basin region. Bioregional Assessment Derived Dataset. Viewed 27 September 2017, http://data.bioregionalassessments.gov.au/dataset/d0738954-5d72-4796-98e3-cc77a85f6e1e. Dataset Ancestors Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From GEODATA TOPO 250K Series 3

The National Oceanic and Atmospheric Administration (NOAA) Electronic Navigational Charts (ENC), found in the A-16 National Geospatial Data Asset Portfolio, support real-time navigation as well as collision and grounding avoidance needs of the mariner, and accommodate a real-time tide and current display capability that is essential for large vessel navigation. The NOAA ENC will support all types of marine navigation by providing the official database for electronic charting systems, including the Electronic Chart Display and Information System. NOAA ENCs will also provide fully integrated vector base maps for use in geographic information systems that are used for coastal management or other purposes. The NOAA ENCs are in the International Hydrographic Office S-57 international exchange format and comply with the ENC product specification. The ENC Harbor map service displays data compiled for ENC products with a scale range from street level (1:5,000) to town level (1:50,000).The ENC data used within this application will be updated weekly. This map layer is not intended for navigation purpose.Thumbnail image courtesy of: Kartverket

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.

Seven legacy systems were migrated to Auckland Council’s GIS environment where the creation of new assets and maintenance of existing assets are now being undertaken. Using asbuilts sent to the stormwater team from development engineers and/or internal projects, the geometry and attributes of stormwater assets are captured using standard ArcGIS editing functionality. Whilst due care has been taken to capture the assets as accurately as possible, the data is indicative and cannot be considered to align to any particular boundaries or features including cadastral.