Description: This dataset provides comprehensive information about weapons in the MMORPG Lineage 2, covering all items available up to the High Five version. It includes detailed attributes for each weapon, such as type, slot usage, damage values, critical rates, attack speed, and other relevant statistics.

The dataset is designed to assist players, researchers, and developers in analyzing weapon characteristics, creating tools, or enhancing gameplay strategies. It is particularly useful for those interested in understanding game mechanics or developing fan content for Lineage 2.

Columns:

• item_id: Unique identifier for each weapon
• name: In-game name of the weapon
• title: Additional title or subtitle for the weapon
• description: Detailed description of the weapon, including special effects or lore
• slot_bit_type: Indicates the equipment slot for the weapon (e.g., right hand, left hand)
• weight: The weight of the weapon in the game
• soulshot_count: Number of Soulshots consumed per attack
• spiritshot_count: Number of Spiritshots consumed per attack
• default_price: Base price of the weapon in the in-game economy
• material_type: The material used to craft the weapon (e.g., wood, metal)
• crystal_type: Grade of crystals required for enchanting (e.g.,D, C, B)
• crystal_count: Number of crystals getting after weapon destruction
• is_trade: Indicates if the weapon can be traded (boolean)
• is_drop: Indicates if the weapon can drop (boolean)
• is_destruct: Indicates if the weapon can be destroyed (boolean)
• physical_damage: Base physical damage dealt by the weapon
• random_damage: Variance in physical damage per hit
• weapon_type: Category of the weapon (e.g., sword, bow, staff)
• critical: Base critical rate of the weapon
• avoid_modify: Modifies the character's evasion when equipped
• attack_range: Range of attacks (in meters)
• attack_speed: Attack speed in milliseconds or relative units
• reuse_delay: Cooldown time for the weapon
• mp_consume: MP consumed per use of the weapon
• magical_damage: Base magical damage dealt by the weapon
• is_olympiad_can_use: Indicates if the weapon is allowed in Olympiad battles (boolean)
• enchant_enable: Indicates if the weapon can be enchanted (boolean)

Abstract

The L2 Consumer Dataset contains information about consumers from all 50 states and the District of Columbia. The data, which is sourced from credit bureaus and other consumer information sources, is generally bought and used by companies for marketing purposes. Updates are expected quarterly.

All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024, when about 25,000 records were removed to comply with Daniel's Law.

Methodology

To create this file, L2 processes nationwide consumer data on an ongoing basis for all 50 states and the District of Columbia with refreshes typically at least every ninety days. The data are sourced from credit bureaus and other consumer information sources. Those data are standardized and consist of approximately 240,000,000 records nationwide.

Usage

Each table contains 667 variables. For more information about these variables, see ***2024-04-20-Commercial-Data-Dictionary.xlsx ***(under Supporting files).

The L2 Consumer and L2 Voter and Demographic data can be joined on the Lalvoterid variable.

One can also use the Lalvoterid variable to validate the state. For example, let's look at the Lalvoterid for one row in the CA-Commercial-2024-03-25 table. The characters in the fourth and fifth positions of this identifier, LALCA25840445, are 'CA' (California).

The date appended to each table name represents when the data was last updated. All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024 when about 25,000 records were removed to comply with Daniel's Law. For more information about this release, see 2024-03-27-Commercial-Data-Release-Notes.docx* *(under Supporting files).

Bulk Data Access

Data access is required to view this section.

DataMapping Tool

Data access is required to view this section.

Abstract

The L2 Voter and Demographic Dataset includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.

Methodology

To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.

Usage

For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the LALVOTERIDvariable. One can also use the LALVOTERIDvariable to link the L2 Voter and Demographic Dataset with the L2 Consumer Dataset.

In addition, the LALVOTERIDvariable can be used to validate the state. For example, let's look at the LALVOTERID = LALCA3169443. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the RESIDENCE_ADDRESSES_STATEvariable, which should have a value of 'CA' (California).

The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.

The demographic files use 698 consistent variables. For more information about these variables, see 2025-01-10-VM2-File-Layout.xlsx.

The voter history files have different variables depending on the state. The ***2025-08-05-L2-Voter-Dictionaries.tar.gz file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should mirror the 2025-01-10-VM2-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.

***2025-04-24-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from 2018 to 2025.

***2025-08-05-L2-Voter-Fill-Rate.tar.gz ***contains .tab files tracking the percent of non-null values for any given field.

Bulk Data Access

Data access is required to view this section.

DataMapping Tool

Data access is required to view this section.

*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. The Space Environment Monitor (SEM) is a suite of instruments onboard the GOES satellite series. The objective of the SEM package is to measure solar radiation in the X-ray and Extreme Ultraviolet (EUV) region, the in-situ magnetic field, and the energetic particle environment at geosynchronous orbit. This collection contains L1B and L2 data from GOES 1-15 and SMS 1-2. The SEM suite on SMS 1-2 and GOES 1-5 is composed of three sensors: SEM/EPS (Energetic Particle Sensor), SEM/MAG (Magnetometer), and SEM/XRS (X-Ray Sensor). The SEM/HEPAD (High Energy Proton and Alpha Particles Detector) began with GOES 7. The GOES 13-15 SEM suite added these 3 sensors: SEM/EUVS (Extreme Ultraviolet Sensor), SEM/MAGED (Magnetospheric Electron Detector), and SEM/MAGPD (Magnetospheric Proton Detector). On GOES 13-15, the historical EPS sensor was renamed EPEAD (Electron, Proton, and Alpha Detector) and the term EPS now refers to the suite of particle detectors (EPEAD, MAGED, MAGPD). Combined these sensors provide magnetic field, energetic particle, and solar x-ray and EUV data. The magnetometer (MAG) measures the magnitude and direction of the magnetic field. The energetic particle detectors (EPS, HEPAD, EPEAD, MAGED, MAGPD, and MAGED) measure a spectrum of electron, proton, and alpha-particle fluxes caused by solar activity and galactic cosmic rays. The solar x-ray sensor (XRS) measures solar X-ray fluxes for the wavelength bands of 0.05-.4 nm (short channel) and .1 to .8 nm (long channel). The extreme ultraviolet sensor (EUVS) measures the EUV in 5 bands (A-E) spanning wavelengths 5-127 nm. The temporal period of record (POR) for this collection extends from July 1974 to March 2020. The L1b products include full-resolution data (cadence varies by sensor/satellite) provided in daily files in FITS and csv formats. The L2 products include monthly averages (1 minute or 5 minute cadence) provided in monthly files in ASCII format. The data were produced by NOAA’s Space Weather Prediction Center (SWPC) and archived by NOAA's Comprehensive Large Array-Data Stewardship System (CLASS). To access this data, contact NCEI for distribution and ordering instructions.

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist of half orbit (Night and Day) emissivity and cloud particle data related to pixels that have been co-located to the Lidar track.

SMOS Level 1 data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while SMOS Level 2 data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from the L1 dataset. Products from the SMOS Data Processing Ground Segment (DPGS) located at the European Space Astronomy Centre (ESAC), belonging to the latest processing baseline, have File Class OPER. Reprocessed SMOS data is tagged as REPR. The Level 1A product is available upon request to members of the SMOS Cal/Val community. The product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2 seconds (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5°. Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). This product is available in both Earth Explorer and NetCDF formats. The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). This product is available in both Earth Explorer and NetCDF formats. For an optimal exploitation of the SMOS L1 and L2 datasets, please refer to the Resources section below in order to access Product Specifications, read-me-first notes, etc.

The main dataset is a 9 MB file of trajectory data (I294_L2_final.csv) that contains position, speed, and acceleration data for small and large automated (L2) and non-automated vehicles on a highway in a suburban environment. Supporting files include aerial reference images for twelve distinct data collection “Runs” (I294_L2_Run_X_ref_image_with_lanes.png, where X equals 5, 28, 30, 36, 38, and 42 for southbound runs and 23, 29, 31, 33, 35, and 41 for northbound runs). Associated centerline files are also provided for each “Run” (I-294-L2-Run_X-geometry-with-ramps.csv). In each centerline file, x and y coordinates (in meters) marking each lane centerline are provided. The origin point of the reference image is located at the top left corner. Additionally, in each centerline file, an indicator variable is used for each lane to define the following types of road sections: 0=no ramp, 1=on-ramps, 2=off-ramps, and 3=weaving segments. The number attached to each column header is the numerical ID assigned for the specific lane (see “TGSIM – Centerline Data Dictionary – I294 L2.csv” for more details). The dataset defines eight lanes (four lanes in each direction) using these centerline files. Images that map the lanes of interest to the numerical lane IDs referenced in the trajectory dataset are stored in the folder titled “Annotation on Regions.zip”. The southbound lanes are shown visually in I294_L2_lane-2.png through I294_L2_lane-5.png and the northbound lanes are shown visually in I294_L2_lane2.png through I294_L2_lane5.png. This dataset was collected as part of the Third Generation Simulation Data (TGSIM): A Closer Look at the Impacts of Automated Driving Systems on Human Behavior project. During the project, six trajectory datasets capable of characterizing human-automated vehicle interactions under a diverse set of scenarios in highway and city environments were collected and processed. For more information, see the project report found here: https://rosap.ntl.bts.gov/view/dot/74647. This dataset, which is one of the six collected as part of the TGSIM project, contains data collected using one high-resolution 8K camera mounted on a helicopter that followed two SAE Level 2 ADAS-equipped vehicles through automated lane change maneuvers and as part of a string once the desired lane was achieved and ACC was enabled. The helicopter then followed the string of vehicles (which sometimes broke from the sting due to large following distances) northbound through the 4.8 km section of highway at an altitude of 300 meters. The goal of the data collection effort was to collect data related to human drivers' responses to automated lane changes and as part of a string. The road segment has four lanes in each direction and covers a major on-ramp and one off-ramp in the southbound direction and one on-ramp as well as two off-ramps in the northbound direction. The segment of highway is operated by Illinois Tollway and contains a high percentage of heavy vehicles. The camera captured footage during the evening rush hour (3:00 PM-5:00 PM CT) on a cloudy day. As part of this dataset, the following files were provided: I294_L2_final.csv contains the numerical data to be used for analysis that includes vehicle level trajectory data at every 0.1 second. Vehicle size (small or large), width, length, and whether the vehicle was one of the L2 test vehicles ("yes" or "no") are provided with instantaneous location, speed, and acceleration data. All distance measurements (width, length, location) were converted from pixels to meters using the following conversion factor: 1 pixel = 0.3-meter conversion. I294_L2_Run_X_ref_image_with_lanes.png are the aerial reference images that define the geographic region and associated roadway segments of interest (see bounding boxes on northbound and southbound lanes) for each run X. I294_L2_Run_X-geometry-with-ramps.csv contain the coordinates that define the lane centerlines for each Run X. T

Glyndon, MN, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (GLYN), Station Location: (GEO Latitude 46.9, Longitude 263.5), McMAC Network

Flin Flon (The Pas), MB, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (TPAS), Station Location: (GEO Latitude 54.0, Longitude 259.1), THEMIS GBO/UCLA Network

Glyoxal (CHOCHO) tropospheric vertical columns retrieved from the TROPOMI/S5p instrument as part of the ESA CCI precursors for aerosols and ozone project.

This dataset provides a set of L2 glyoxal vertical columns obtained from TROPOMI/S5P, for the period of May 2018 until December 2023. The retrieval is based on the method developed for the GLYRETRO and S5P-PAL projects, but features an improved destriping and background correction method, as well as more precise air mass factor calculations using a high-resolution surface albedo database based on TROPOMI observations, and a set of daily a priori glyoxal profile shapes obtained using the MAGRITTE chemical transport model.

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international “A-Train” (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES. These data consist 5 km aerosol layer data.

College (Fairbanks), AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (CMO), Station Location: (GEO Latitude 64.9, Longitude 212.1), USGS Network

Bay Mills, MI, Ground-based Vector Magnetic Field Level 2 Data, 0.5 s Time Resolution, Station Code: (BMLS), Station Location: (GEO Latitude 46.2, Longitude 275.7), THEMIS EPO/UCLA Network

GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.Each data granule has an associated browse product.

Dataset

This dataset was created by DivyamAgg

Contents

This data set contains resampled and smoothed elevation measurements of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region land ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.

This dataset contains in-situ position data from surface drifters from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Drifting buoys were deployed from the research vessels and configured to nominally report positions every five minutes. Drifters deployed were a mixture of CARTHE and Microstar types. CARTHE drifters are drogued at 40 cm depth and measure the average horizontal velocity of currents in the upper 60 cm of the ocean (Novelli et al., 2017). Microstar drifters are drogued at 1 m depth and measure the average horizontal velocity of ocean currents between 0.4 m and 1.6 m depth (Ohlmann et al., 2005). See the S-MODE Data Submission Report sections 2.3.2.2, 2.4.2.2 and 2.5.2.3 for more information. Tracking and telemetry of the drifters is done by Pacific Gyre, Inc. The data are available in netCDF format with a dimension of time. Novelli, G., C. M. Guigand, C. Cousin, E. H. Ryan, N. J. M. Laxague, H. Dai, B. K. Haus, and T. M. Özgökmen, 2017: A Biodegradable Surface Drifter for Ocean Sampling on a Massive Scale. J. Atmos. Oceanic Technol., 34, 2509–2532, https://doi.org/10.1175/JTECH-D-17-0055.1.Ohlmann, J. C., P. F. White, A. L. Sybrandy, and P. P. Niiler, 2005: GPS–Cellular Drifter Technology for Coastal Ocean Observing Systems. J. Atmos. Oceanic Technol., 22, 1381–1388, https://doi.org/10.1175/JTECH1786.1.Westbrook, E., Bingham, F. M., Brodnitz, S., Farrar, J. T., Rodriguez, E., & Zappa, C., (2024). Submesoscale Ocean Dynamics Experiment (S-MODE) Data Submission Report. Technical Report. Woods Hole Oceanographic Institution, WHOI-2024-03, https://doi.org/10.1575/1912/69362

Toolik Lake, AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (TOOL), Station Location: (GEO Latitude 66.6, Longitude 210.4), GIMA Network

Dead Horse, AK, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (DED), Station Location: (GEO Latitude 70.4, Longitude 211.2), USGS Network

TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.