The JPL HORIZONS on-line solar system data and ephemeris computation service provides access to key solar system data and flexible production of highly accurate ephemerides for solar system objects ( 561485 asteroids, 3099 comets, 171 planetary satellites, 8 planets, the Sun, L1, L2, select spacecraft, and system barycenters ). HORIZONS is provided by the Solar System Dynamics Group of the Jet Propulsion Laboratory.

This dataset contains information about projects and their results funded by the European Union under the Horizon Europe framework programme for research and innovation from 2021 to 2027.

The dataset is composed of six (6) different sub-set (in different formats):

• HORIZON projects – which includes participating organisations, legal basis information, topic information, project URLs and classification with the European Science Vocabulary (EuroSciVoc)
• HORIZON project deliverables (meta-data and links to deliverables)
• HORIZON project publications (meta-data and links to publications)
• HORIZON report summaries (periodic or final publishable summaries)

Reference data (programmes, topics, topic keywords funding schemes (types of action), organisation types and countries) can be found in this dataset: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

EuroSciVoc is available here: https://data.europa.eu/data/datasets/euroscivoc-the-european-science-vocabulary

CORDIS datasets are produced monthly. Therefore, inconsistencies may occur between what is presented on the CORDIS live website and the datasets.

Data provider: Scientific Center of Soil Sciences, Agrochemistry and Melioration after Hrant Petrossyan, ANAUContact: gayanehgasparyan@gmail.com

This product contains soil series-layer properties which describe the respective properties of four successive nominal layers within each soil topsoil, upper subsoil, lower subsoil and substrate. In addition, there are separate values for every soil series under each of four land use classes. Mean values of texture, Organic Carbon and pH are available for each soil series under one land use only selected in the order permanent grass, ley grass, arable and other depen ding on availability (woodland and semi-natural vegetation)

Comprehensive dataset containing 61 verified Horizon locations in United States with complete contact information, ratings, reviews, and location data.

R-HORIZON

How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

📃 Paper • 🌐 Project Page • 🤗 Dataset

R-HORIZON is a novel method designed to stimulate long-horizon reasoning behaviors in Large Reasoning Models (LRMs) through query composition. We transform isolated problems into complex multi-step reasoning scenarios, revealing that even the most advanced LRMs suffer significant performance degradation when facing interdependent problems that span… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/R-HORIZON-training-data.

Complete dataset: Horizon Geosciences's 0 incidents, security score trends, compliance status, and comparative benchmarks against 10,757 industry peers.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

Forza Horizon 5 is a 2021 racing video game developed by Playground Games and published by Xbox Game Studios. The twelfth main instalment of the Forza series, the game is set in a fictionalized representation of Mexico. This dataset is a collection of cars that we can find and buy in the game. The dataset contains various features such as car speed, ratings, power etc.

Acknowledgements

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In Horizon 2020 the Commission committed itself to running a flexible pilot on open research data (ORD Pilot). The ORD pilot aims to improve and maximise access to and re-use of research data generated by Horizon 2020 projects. It takes into account the need to balance openness and protection of scientific information, commercialisation and IPR, privacy concerns, security as well as data management and preservation questions.

This ORD pilot comprises various selected areas of Horizon 2020 ('core areas' ). Projects not covered by the scope of the pilot can participate on an individual and voluntary project-by-project basis ('opt-in'). Projects may also decide not to participate in the pilot ('opt-out') at any stage of the project lifecycle.

As of the Work Programme 2017 the ORD pilot scope is extended to cover all thematic areas of Horizon 2020 so as to make open research data the default, but retaining opt-out possibilities – however, this does not yet apply to the datasets analysed below.

The ORD pilot applies primarily to the data needed to validate the results presented in scientific publications. Other data can also be provided by the beneficiaries on a voluntary basis, as stated in their Data Management Plans (DMP). Costs associated with data management, including the creation of a data management plan, can be claimed as eligible costs in any Horizon 2020 grant.

It should be noted that the potential participation in the pilot is not part of the evaluation of proposals: in other words, proposals are not evaluated more favourably because they are part of the ORD pilot and are not penalised for opting out of the ORD pilot.

The legal requirements for projects participating in this pilot are contained in article 29.3 of the Model Grant Agreement.

This file does not contain research data generated by Horizon 2020 projects themselves. Rather it provides an overview of the take-up of the Commission's Open Research Data Pilot (ORD Pilot) It gives statistics by call about proposals: - Opting out of the Pilot on Open Access Research data in H2020 - Participating in the Pilot on Open Access Research data in H2020 on a voluntary bases (opt-in).

This overview encompasses two finalised datasets obtained from CORDA: 2014-2015 and 2015-2016. Data obtained from CORDA. the following instruments are excluded: SME instrument, cofund, and prizes. ERC grants are also not included for the 2015-2016 sample. These datasets have been cleaned in order to reduce overlap and replace previous datasets. In this period, 68% of the funded projects in the core areas (CA) participate in the ORD. Correspondingly, the average opt-out rate in signed grant agreements is 32%. Outside the core areas, 9% of projects make use of the voluntary opt-in possibility.

Heliocentric trajectories for Voyager 1 in Heliographic, HG, Heliographic Inertial, HGI, and Solar Ecliptic, SE, Coordinates The original trajectory data are taken from http://ssd.jpl.nasa.gov/horizons.cgi where users can find many more objects. In the case of orbit data for planets, the orbit data can be used as a proxy for spacecraft ephemeris that are in orbit about the planets. On a heliospheric scale, differences between the planet orbital tarjectory and that of the spacecraft are very small. For instance, the heliocentric longitudes differ by only 0.25° for a spacecraft stationed near the L1 Lagrange point at approximately 100 Earth radii upstream of the Earth. The production of the HG, HGI, and SE trajectory data requires a values for the "Equinox Epoch", which is defined as the epoch time when the direction from the Earth to the sun at the time of the vernal equinox when the sun seems to cross equatorial plane of the Earth from below. This direction is called the First Point of Aries, FPA and it is not a fixed direction but drifts by about 1.4° per century or 50.26" per year. In addition, there are tiny irregularities in FPA drift that are on the order of 1" per year or less. The Equinox Epoch can be determined by using a variety of methods for calculating the instantaneous FPA longitudinal direction and whether the tiny irregularities have been smoothed or averaged out. Four methods for determining the Equinox Epoch are in common usage: +---------------------------------------------------------------------+ Method Name FPA Longitude Definition --------------------------------------------------------------------- B1950.0 the actual FPA at 22:09 UT on December 31, 1949 J2000.0 the smoothed FPA at 12:00 UT on January 1, 2000 True of Date the actual FPA at 00:00 UT on the date of interest Mean of Date the smoothed FPA at 00:00 UT on the date of interest +---------------------------------------------------------------------+ The heliocentric trajectory data included in this data product have been calculated by using the Equinox Epoch: defined via the "Mean of Date" method. More precise coordinates, and some planet-centered coordinates, are found in the "traj" subdirectories of spacecraft specific directories at https://spdf.gsfc.nasa.gov/pub/data/ and http://ssd.jpl.nasa.gov/horizons.cgi.

Heliocentric trajectories for New Horizons in Heliographic, HG, Heliographic Inertial, HGI, and Solar Ecliptic, SE, Coordinates The original trajectory data are taken from http://ssd.jpl.nasa.gov/horizons.cgi where users can find many more objects. In the case of orbit data for planets, the orbit data can be used as a proxy for spacecraft ephemeris that are in orbit about the planets. On a heliospheric scale, differences between the planet orbital tarjectory and that of the spacecraft are very small. For instance, the heliocentric longitudes differ by only 0.25° for a spacecraft stationed near the L1 Lagrange point at approximately 100 Earth radii upstream of the Earth. The production of the HG, HGI, and SE trajectory data requires a values for the "Equinox Epoch", which is defined as the epoch time when the direction from the Earth to the sun at the time of the vernal equinox when the sun seems to cross equatorial plane of the Earth from below. This direction is called the First Point of Aries, FPA and it is not a fixed direction but drifts by about 1.4° per century or 50.26" per year. In addition, there are tiny irregularities in FPA drift that are on the order of 1" per year or less. The Equinox Epoch can be determined by using a variety of methods for calculating the instantaneous FPA longitudinal direction and whether the tiny irregularities have been smoothed or averaged out. Four methods for determining the Equinox Epoch are in common usage: +---------------------------------------------------------------------+ Method Name FPA Longitude Definition --------------------------------------------------------------------- B1950.0 the actual FPA at 22:09 UT on December 31, 1949 J2000.0 the smoothed FPA at 12:00 UT on January 1, 2000 True of Date the actual FPA at 00:00 UT on the date of interest Mean of Date the smoothed FPA at 00:00 UT on the date of interest +---------------------------------------------------------------------+ The heliocentric trajectory data included in this data product have been calculated by using the Equinox Epoch: defined via the "Mean of Date" method. More precise coordinates, and some planet-centered coordinates, are found in the "traj" subdirectories of spacecraft specific directories at https://spdf.gsfc.nasa.gov/pub/data/ and http://ssd.jpl.nasa.gov/horizons.cgi.

The International Soil Reference and Information Centre-World Inventory of Soil Emission Potentials (ISRIC-WISE) international soil profile data set consists of a homogenized, global set of 1,125 soil profiles for use by global modelers. These profiles provided the basis for the Global Pedon Database (GPDB) of the International Geosphere-Biosphere Programme (IGBP) - Data and Information System (DIS). The data set consists of a selection of 665 profiles originating from the Natural Resources Conservation Service (NRCS, Lincoln), 250 profiles obtained from the Food and Agriculture Organization (FAO, Rome), and 210 profiles from the reference collection of the International Soil Reference and Information Centre (ISRIC, Wageningen). All profiles are georeferenced and classified according to the 1974 Legend of the FAO-UNESCO Soil Map (FAC-UNESCO, 1974) of the World, as well as the 1988 Revised Legend of FAO-UNESCO (FAO, 1990). The data set includes information on soil classification, site data, soil horizon data, source of data, and methods used for determining analytical data. The data files are in a comma-delimited format. Data Citation: The data set should be cited as follows: Batjes, N. H. (ed). 2000. Global Soil Profile Data (ISRIC-WISE). Available on-line from the ORNL Distributed Active Archive Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A.

This report and associated dataset, contains subsurface geologic information collected in the Sacramento-San Joaquin Valley. The primary data includes X, Y, Z locations of stratigraphic horizons and, to a much lesser extent, geologic structures where penetrated by oil and gas wells in the subsurface as recorded in well logs and well records. Selected oil and gas wells are not only examined for depth to stratigraphic horizon data, but also marked if deviated from vertical, or containing specific electronic logs that may be used for geophysical research. The data was compiled from well records made available through the California Department of Conservation, Geologic Energy Management Division (CalGEM) Well Finder web interface. Well Finder provides a map view of wells and fields with links to well records in the CalGEM database. Select records for wells in the study area (principally the well data report, which is a PDF copy of all the forms and associated "paperwork" filed wit ...

The Scribe Database Collection includes 14 databases containing data from the Deepwater Horizon (DWH) Oil Spill Event Response Phase. These databases are the work of Federal agencies, state environmental management agencies and BP and its contractors. The types of information include locations, descriptions, and analysis of water, sediment, oil, tar, dispersant, air and other environmental samples. Note: the water and sediment chemistry data from these databases has been extracted by cruise and archived separately in association with the other cruise-related data accessions. See the DWH Ocean In Situ Data page for access to those accessions.

In 2010, the Deepwater Horizon oil spill occurred in the Gulf of Mexico. In response to this spill, the National Marine Fisheries Service initiated a data collection and analysis program to monitor the health and safety of Gulf of Mexico fisheries resources. Data were collected in conjunction with existing Southeast Fisheries Science Center Mississippi Laboratories resource surveys using vari...

The Deepwater Horizon database contains oceanographic and hydrocarbon measurements collected from water, air, and sediment during and after the Deepwater Horizon oil spill. It is 2.4 GB in size and contains 8 million georeferenced data points (in situ and laboratory measurements) from government, academic, citizen science, and industry sources. The database integrates 38 data sets covering 640,000 square km from 4673 m altitude and 2850 m depth from 2010 to 2012. More details can be found in the publication: Thessen, A.E., McGinnis, S., and E.W. North. 2016. Lessons learned while building the Deepwater Horizon Database: Toward improved data sharing in coastal science. Comput. Geosci. 87: 84-90. http://dx.doi.org/10.1016/j.cageo.2015.12.001

The Deepwater Horizon oil spill (also referred to as the BP oil spill) began on 20 April 2010 in the Gulf of Mexico on the BP-operated Macondo Prospect. Following the explosion and sinking of the Deepwater Horizon oil rig, a sea-floor oil gusher flowed for 87 days, until it was capped on 15 July 2010. In response to the BP oil spill, EPA sampled air, water, sediment, and waste generated by the cleanup operations.

Research Ship New Horizon Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program. IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data. ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't. For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query: flag=~"ZZZ........Z." in your query. '=~' indicates this is a regular expression constraint. The 'Z's are literal characters. In this dataset, 'Z' indicates 'good' data. The '.'s say to match any character. The '' says to match the previous character 0 or more times. (Don't include backslashes in your query.) See the tutorial for regular expressions at https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

SET-MH were installed in 2009 and 2010 with three replicates in Reference and Phase II and with two replicates (north-south) pairs in the 2009 restoration area (Units 1-4). SET-MH were read repeatedly at regular, at least annual intervals. Reading SETs consisted of measurements for nine pins facing the four cardinal directions for a total of 36 measurements per SET, per sampling event. Marker Horizons consisted of a marker, usually white feldspar clay, so that the sediment that accumulated on top of the marker would be visible and measurable to the nearest millimeter. Together, SET-MH provide information on surface elevation changes due to surface accretion (MH) compared to changes that may be due to subsurface processes (such as root growth or groundwater swelling).

This data set includes the complete set of New Horizons (NH) SPICE data files (``kernel files'), which can be accessed using SPICE software. The SPICE data contain geometric and other ancillary information needed to recover the full value of the science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, and data needed for relevant time conversions.