During the 2017 field season, geologists from the Alaska Division of Geological & Geophysical Surveys (DGGS) conducted geologic mapping and sampling of part of the Richardson mining district southeast of Fairbanks, Alaska. The project area is about 30 miles west of the Pogo gold mine and covers gold exploration activity at the Montecristo and Uncle Sam properties. This work aims to build an improved understanding of the area's geology and controls on gold mineralization for purposes of exploration targeting and mineral-resource assessment. The 260-square-mile map area lies between the Salcha River and Shaw Creek and is bounded by the Trans-Alaska Pipeline access road to the southwest. The area is characterized by forested, moderate-relief hills blanketed by vegetation, loess, and locally, sand dunes. Rock outcrop is less than one percent; consequently, the map interpretation relies heavily on the DGGS East Richardson airborne magnetic and electromagnetic survey as well as rocks collected from pits dug into rocky colluvial deposits below surficial loess or sand. The complete report, geodatabase, and ESRI fonts and style files are available from the DGGS website: http://doi.org/10.14509/30676.

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

THIS DATASET WAS LAST UPDATED AT 2:11 AM EASTERN ON JULY 12

OVERVIEW

2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

A total of 229 people died in mass killings in 2019.

The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

One-third of the offenders died at the scene of the killing or soon after, half from suicides.

About this Dataset

The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

This data will be updated periodically and can be used as an ongoing resource to help cover these events.

Using this Dataset

To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

Mass killings by year

Mass shootings by year

To get these counts just for your state:

Filter killings by state

Definition of "mass murder"

Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

Methodology

Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

This project started at USA TODAY in 2012.

Contacts

Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

This dataset provides 90 m estimates of forest aboveground biomass (Mg/ha) for nominal 2011 and projections of carbon sequestration potential for 11 states in the Regional Greenhouse Gas Initiative (RGGI) _domain. The RGGI is a cooperative, market-based effort among States in the eastern United States. Estimated biomass and sequestration potential were computed using the Ecosystem Demography (ED) model. The ED Model integrates several key data including climate variables from Daymet and MERRA2 products; physical soil and hydraulic properties from Probabilistic Remapping of SSURGO (POLARIS) and CONUS-SOIL; land cover characteristics from airborne lidar, the National Agriculture Imagery Program (NAIP), and the National Land Cover Database (NLCD); and vegetation parameters from the Forest Inventory and Analysis (FIA) Program.

Northeastern United States State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

This digital data release contains geospatial geologic data compiled for northeastern California, a region predominantly covered by Quaternary and Neogene volcanic rocks. Geologic map data were compiled for the purposes of interpreting data from two aeromagnetic surveys that were flown for the area; geologic compilation focused on the existence and _location of faults and volcanic features - those geologic elements considered most likely to produce a magnetic anomaly. Geologic data, compiled from published sources, include the _location and characteristics of geologic contacts and faults, mapped geologic polygons, boundaries of volcanic edifices, and the _location of volcanic vents. The digital geologic database presented here is a companion dataset to two data releases of geophysical data from the aeromagnetic surveys. Both the geologic and geophysical data are intended to support the eventual interpretive USGS publication "Aeromagnetic Map of Northeastern California ". The geologic database includes spatial feature classes that collectively contain the geologic information that will be presented in the published map plate. The spatial data are accompanied by non-spatial tables that describe the sources of geologic information, a description of geologic map units, a glossary of terms, and a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. Spatial data are also released as shapefiles.

This dataset contains archaeological and heritage sites of the Marmarica region (NE-Libya/NW-Egypt) ranging from the Late Bronze to the Roman times. It has been developed in the framework of the PERAIA project, which aims to analyse the long-term history and interaction patterns along the harsh environments of north-eastern Africa. The records contain accurate geographic location of sites, including place names, typology, chronology, and metadata of documented remains, along with information regarding the environmental and ecological context. Additionally, the dataset accounts for the specificities of the region’s varying environmental conditions and their potential impact on archaeological heritage. All this information associated with each archaeological site was collected from published field data surveys, maps, archaeological reports, and it was subsequently cross-checked with historical aerial photographs and satellite imagery to detect, and to register known and unknown sites within the study area.

This data release contains gridded aeromagnetic data from a dataset that merges two aeromagnetic surveys of northeastern California. Data from the Alturas and Burney surveys were gridded and merged to provide a continuous, detailed aeromagnetic dataset of the region. The merged dataset was then corrected for the inclination of the Earth's magnetic field (reduced to pole or rtp); match-filtering of the merged rtp gridded dataset provides three dipole-equivalent source layers at depths of 0.85 km (shallow), 3.28 km (medium), and 16.4 (deep) km. Magnetization boundaries were calculated using the maximum horizontal gradient method on the match-filtered gridded data. Lastly, a magnetic field caused by magnetic terrain was calculated to compare with observed magnetic field gridded values.

What developments does NDD specifically track?

Developments and redevelopments the NDD tracks include those that meet one or more of the following criteria:Occupy at least 1 acre of landContain at least 10 housing unitsContain at least 10,000 square feet of non-residential spaceResult in a change in land use

The database captures all land uses, including residential, commercial, industrial, institutional, and recreational/open space. It tracks projects from the initial proposal phase through construction to completion, including new construction, expansion, and rehabilitation involving land use changes.

Each development in the NDD includes a variety of data points, such as:Development name, developer, and land use typeHousing units and non-residential square footageLocation details and construction dates

The database is a vital resource for CMAP’s long-range forecasting, land use inventory, technical assistance, and general planning efforts. The NDD offers municipalities, planners, researchers, and the public an accessible resource to explore regional development activity.Additional information on the data fields can be found in the NDD Data Dictionary.

Northeastern United States County Boundary data are intended for geographic display of state and county boundaries at statewide and regional levels. Use it to map and label counties on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

Northeastern United States Town Boundary data are intended for geographic display of state, county and town (municipal) boundaries at statewide and regional levels. Use it to map and label towns on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

This polygon shapefile contains combined PAD-US Fee and Easements features for the Northeastern United States. The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme. PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers. As PAD-US is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED). The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. Several layer ('.lyr') files along with lookup tables ('.dbf') for each of the eight coded domains used within the feature classes of the original geodatabase are provided with this download. These .dbf tables describe both the domain codes and descriptions. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record. Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for.

University of Maine real-time buoy observations in the Gulf of Maine/Massachusetts Bay at Northeastern Regional Association Ocean Observing Systems (NERACOOS) site A0101, located at 42d 31.098m N, 70d 33.930m W south of Gloucester. Gulf of Maine Ocean Observing System (GoMOOS) buoy A0101 was deployed from 2001-07-10T02:30:00Z until 2002-03-08T11:40:00Z. Atmospheric near-surface measurements of wind speed, wind direction, wind gust, air temperature and visibility at a nominal height of of 3 meters were taken hourly.

The foliar chemistry component of the Northeastern Ecosystem Research Cooperative (NERC) regional database was assembled from six prior NERC synthesis projects designed either to compile foliar chemistry data or to ask specific research questions about regional environmental trends in forested ecosystems. These individual NERC synthesis projects compiled foliar chemistry data from independent studies across the northeastern United States and eastern Canada. The combined foliar, soil, and surface water chemistry data in the full NERC regional database thus provide an opportunity to analyze environmental trends across ecosystem compartments at a regional scale. Foliar chemistry data in the database principally represent dominant or frequent tree species of forested ecosystems in the region. The data set also includes limited data for herbaceous species typical of these systems. A large proportion of the data derives from the Foliar Chemistry Database (http://foliar.sr.unh.edu/), which is an ongoing, online repository of foliar chemistry data for the northeastern United States. Many investigators have contributed to the foliar chemistry data compiled in the NERC regional database, both through the Foliar Chemistry Database and via other NERC synthesis projects.

These data were collected to characterize the quantity and quality of microplastic particles found in 17 streams in the northeastern United States, from New York to Virginia. USGS staff who represent the Urban Landscapes Capabilities Team (ULCT) within the North Atlantic-Appalachian Region designed the study and collected the water samples on which the data are based. Data were collected during 2017 and 2018 and included a baseflow and stormflow sample at each site. Additionally, the various microplastic particles in each sample were characterized by one of two different size-fraction categories (categories of 355-1000 micrometers and 1000-5600 micrometers), by type of particle (fiber/line, fiber clump, bead/pellet, film, foam/rubber, or fragment), and by the number of particles of each type per sample. Quality control data also are included.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The objective of this project was to enhance understanding of violent disputes by examining the use of aggression to rectify a perceived wrong. It also sought to identify the factors that determine if retaliatory violence occurs within disputes as well as to understand how long retaliatory disputes last, and what factors lead to the termination of such disputes. This collection includes two SPSS data files: "Dispute_Database_for_NACJD.sav" with 40 variables and 111 cases and "Northeastern_City_Violence_Database_NACJD_submission.sav" with 164 variables and 1,303 cases.

This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (nesfmf.ps, nesfmf.pdf, nesfmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller.

Thailand Cheque Clearing: Northeastern data was reported at 60,789.100 THB mn in Sep 2018. This records a decrease from the previous number of 64,399.800 THB mn for Aug 2018. Thailand Cheque Clearing: Northeastern data is updated monthly, averaging 47,116.300 THB mn from Jan 1992 (Median) to Sep 2018, with 321 observations. The data reached an all-time high of 101,386.400 THB mn in Mar 2012 and a record low of 20,948.800 THB mn in Feb 1992. Thailand Cheque Clearing: Northeastern data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.KA010: Cheque Clearing Statistics.

Conduct genetic analyses of groundfish in the northeastern Pacific, with a focus on population genetics and genomics of rockfishes and sablefish. Genetic data for groundfish.