100+ datasets found
  1. A

    RTE and Significant Natural Communities

    • data.amerigeoss.org
    csv, esri rest +5
    Updated Jul 29, 2019
    + more versions
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    United States[old] (2019). RTE and Significant Natural Communities [Dataset]. https://data.amerigeoss.org/da_DK/dataset/rte-and-significant-natural-communities
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    ogc wms, kml, zip, esri rest, html, geojson, csvAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    Description

    The Vermont Fish and Wildlife Department's Natural Heritage Inventory (NHI) maintains a database of rare, threatened and endangered species and natural (plant) communities in Vermont. The Department is a member of the network of Natural Heritage Programs and Conservation Data Centres network that collaborates with NatureServe, which is the umbrella organization. The Element Occurrence (EO) records that form the core of the Natural Heritage Inventory database include information on the location, status, characteristics, numbers, condition, and distribution of elements of biological diversity using established Natural Heritage Methodology developed by NatureServe and The Nature Conservancy. An Element Occurrence (EO) is an area of land and/or water in which a species or natural community is, or was, present. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population or a group of nearby populations (e.g., metapopulation). For community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. Because they are defined on the basis of biological information, EOs may cross jurisdictional boundaries. An Element Occurrence record is a data management tool that has both spatial and tabular components including a mappable feature and its supporting database. EOs are typically represented by bounded, mapped areas of land and/or water or, at small scales, the centroid point of this area. EO records are most commonly created for current or historically known occurrences of natural communities or native species of conservation interest.

  2. Data from: Rte Cereal

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Sep 1, 2025
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    IndexBox Inc. (2025). Rte Cereal [Dataset]. https://www.indexbox.io/search/rte-cereal/
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    xlsx, doc, pdf, docx, xlsAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Sep 30, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    RTE cereal stands for 'Ready-to-Eat' cereal, which refers to breakfast cereals that do not require any additional preparation before consumption. These cereals are widely popular and consumed by people of all age groups around the world. They have become a staple breakfast option due to their convenience, versatility, and various health benefits.

  3. d

    FSIS Laboratory Sampling Data - Ready-to-Eat Product & Risk-based Listeria...

    • catalog.data.gov
    Updated May 8, 2025
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    Food Safety and Inspection Service (2025). FSIS Laboratory Sampling Data - Ready-to-Eat Product & Risk-based Listeria monocytogenes Sampling [Dataset]. https://catalog.data.gov/dataset/fsis-ready-to-eat-meat-and-poultry-sampling-data
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    Dataset updated
    May 8, 2025
    Dataset provided by
    Food Safety and Inspection Servicehttps://www.fsis.usda.gov/
    Description

    Establishment specific sampling results for FSIS Ready-to-Eat (RTE) sampling projects. Current data is updated quarterly; archive data is updated annually. Data is split by FY. See the FSIS website for additional information.

  4. e

    rte-france.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Aug 1, 2025
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    (2025). rte-france.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/rte-france.com
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    Dataset updated
    Aug 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Renewable Energy Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for rte-france.com as of August 2025

  5. e

    Map Viewing Service (WMS) of the dataset: Underground lines RTE

    • data.europa.eu
    wms
    Updated Apr 3, 2019
    + more versions
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    (2019). Map Viewing Service (WMS) of the dataset: Underground lines RTE [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-b0864a88-babe-4abb-95ee-bc203d600b7a/embed
    Explore at:
    wmsAvailable download formats
    Dataset updated
    Apr 3, 2019
    Description

    This file presents, for Metropolitan France, all the underground lines of the public electricity transmission network managed by RTE.

    Attached you will find a file listing the underground lines cut into sections. This is a file in SHAPE FILE format

    (RGF 93 Lambert 93) usable in a Geographic Information System (GIS).

    To allow visualisation on this platform, this dataset presents the sections cut into segments.

    These data are supplemented by geographical coordinates expressed in degrees decimal (DD).

    “This dataset is shared within the framework of Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 known as INSPIRE establishing an Infrastructure for Spatial Information in the European Community. The INSPIRE Directive applies to digital spatial data held by public authorities and requires data to be made available in accordance with harmonised technical specifications. “

    For more information about this dataset, please contact: rte-inspire-infos@rte-france.com

    The publication of this dataset does not relieve the user of its regulatory obligation under the Anti-damage Decree (DT/DICT) in case of work.

  6. o

    Old Rte 518 Cross Street Data in Lambertville, NJ

    • ownerly.com
    Updated Oct 5, 2025
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    Ownerly (2025). Old Rte 518 Cross Street Data in Lambertville, NJ [Dataset]. https://www.ownerly.com/nj/lambertville/old-rte-518-home-details
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    Dataset updated
    Oct 5, 2025
    Dataset authored and provided by
    Ownerly
    Area covered
    New Jersey, Lambertville
    Description

    This dataset provides information about the number of properties, residents, and average property values for Old Rte 518 cross streets in Lambertville, NJ.

  7. Electricity: consumption, production, CO2 and trade

    • data.europa.eu
    pdf, unknown
    Updated Mar 4, 2025
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    Réseau de Transport d'Electricité (2025). Electricity: consumption, production, CO2 and trade [Dataset]. https://data.europa.eu/data/datasets/55f0463d88ee3849f5a46ec1?locale=en
    Explore at:
    unknown, pdf(5514126), pdf(245999), pdf(438184), unknown(854794), unknown(1111555), pdf(904226), pdf(2665759)Available download formats
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Réseau de Transport d'Électricitéhttp://www.rte-france.com/
    Authors
    Réseau de Transport d'Electricité
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    RTE publishes electricity consumption in megawatts, generation by sector, associated CO2 emissions and trade at borders.

    These data are provided at half-hour intervals, at all times and in the form of historical records, at national level and also by administrative region.

    Find the historical data in the files below and see the regional and real-time data on the eCO2mix application: http://www.rte-france.com/fr/eco2mix/eco2mix/

    RTE, by proposing some first datasets in connection with the development of the Electrical Review, is also committed to an Open Data approach. This platform aims to evolve and enrich itself: https://opendata.rte-france.com/

  8. e

    Regional real-time CO2mix data

    • data.europa.eu
    • gimi9.com
    csv, json
    Updated Nov 29, 2022
    + more versions
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    Open Data Réseaux Énergies (2022). Regional real-time CO2mix data [Dataset]. https://data.europa.eu/data/datasets/https-odre-opendatasoft-com-explore-dataset-eco2mix-regional-tr-?locale=en
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 29, 2022
    Dataset authored and provided by
    Open Data Réseaux Énergies
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Note: a technical incident is ongoing on the eCO2mix application, which may impact the availability of regional real-time data. We are working to resolve it as soon as possible.

    This dataset, refreshed once an hour, presents "real-time" regional data from the éCO2mix application. They come from the telemetry of the works supplemented by lump sums and estimates.

    You will find there in a quarter of an hour.

    • Consumption achieved.
    • Production according to the different sectors composing the energy mix.
    • The consumption of pumps in Pumped Energy Transfer Stations (STEP).
    • The balance of physical trade with neighboring regions.

    Data for month M is deleted in the middle of month M+1. These "real-time" data are then replaced by "consolidated" data from M+1 counts and then replaced by "definitive" data in the middle of year A+1. You will find them in the dataset available at this address: https://opendata.reseaux-energies.fr/explore/dataset/eco2mix-regional-cons-def.

    For more information, do not hesitate to consult the ÉCO2mix website at this address: http://www.rte-france.com/en/eco2mix/eco2mix.

    This dataset is automatically updated once per hour: Due to an excessive number of downloads of real-time regional 2mix ECO data by robots at frequencies disproportionate to the frequency of updating the dataset, a quota of 50000 API calls per user per month has been put in place. If you notice any data access issues following the implementation of this quota, please contact us at rte-opendata@rte-france.com.

  9. Z

    Dataset for the article "Frequency regulation with storage: On losses and...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Mar 27, 2024
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    Lauinger, Dirk (2024). Dataset for the article "Frequency regulation with storage: On losses and profits" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8014695
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    Dataset updated
    Mar 27, 2024
    Dataset provided by
    Kuhn, Daniel
    Lauinger, Dirk
    Vuille, François
    License

    https://opensource.org/licenses/NOSL3.0https://opensource.org/licenses/NOSL3.0

    Description

    This dataset complements the article "Frequency regulation with storage: On losses and profits" by Dirk Lauinger, François Vuille, and Daniel Kuhn, available at https://doi.org/10.1016/j.ejor.2024.03.022 and at https://arxiv.org/pdf/2306.02987v2.pdf.

    The dataset contains the following files:

    1. Case_study.ipynb, which relies on the datafiles delta_10s.h5, pa.h5, pb.h5, pd.h5, and on the excel files conso_mix_RTE_2019.xls and ReserveAjustement_2019.xlsx to construct all figures in the article. The jupyter notebook is also available at https://github.com/lauinger/cost-of-frequency-regulation-through-electricity-storage.

    2. delta_10s.h5, which contains normalized frequency deviations with a 10s resolution from 1 January 2015 through 31 December 2019. This dataset is constructed from the raw frequency measurement data in build_delta_10s.rar. The frequency measurements are taken from the website of the French transmission system operator RTE: https://www.services-rte.com/en/download-data-published-by-rte.html?category=public_transmission_system&type=network_frequencies (link live as of 7 June 2023).

    3. pa.h5, which contains availability prices for delivering frequency regulation to RTE from 1 January 2015 through 31 December 2019. This dataset is constructed from the raw price data in build_price_data.rar. The availability price data are taken from the website of the French transmission system operator RTE:https://www.services-rte.com/en/download-data-published-by-rte.html?activation_key%3D291fafe6-4f21-4603-810f-0c96b0ea126f%26activation_type%3Dpublic=true&category=market&type=balancing_capacity&subType=procured_reserves (link live as of 7 June 2023).

    4. pd.h5, which contains delivery prices for delivering frequency regulation to RTE from 1 January 2015 through 31 December 2019. This dataset is constructed from the raw price data in build_price_data.rar. The delivery price data are taken from the website of the French transmission system operator RTE:https://www.services-rte.com/en/download-data-published-by-rte.html?activation_key%3D291fafe6-4f21-4603-810f-0c96b0ea126f%26activation_type%3Dpublic=true&category=market&type=balancing_capacity&subType=actived_offers (link live as of 7 June 2023).

    5. pb.h5, which contains utility prices for a subscribed apparent power of 9kVA from the state regulated "tarif bleu" of EDF, the largest electricity provider in France. This dataset is constructed from the raw price data in build_price_data.rar. Current price data (including taxes and transportation fees) is available at https://particulier.edf.fr/content/dam/2-Actifs/Documents/Offres/Grille_prix_Tarif_Bleu.pdf. The French Energy Department publishes the electricity prices in the official French Government journal. The corresponding legal texts are accessible under the following links:01/11/2014 - 31/07/2015: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003317263701/08/2015 - 31/07/2016: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003095445601/08/2016 - 31/07/2017: https://www.edf.fr/sites/default/files/contrib/collectivite/electricite-et-gaz/CGV%2018avril/jo_du_29_juillet_2016_trv.pdf01/08/2017 - 31/01/2018: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003529767501/02/2018 - 31/07/2018: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003655981401/08/2018 - 31/05/2019: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003726217001/06/2019 - 01/08/2019: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT00003852838101/08/2019 - 31/12/2019: https://www.legifrance.gouv.fr/jo_pdf.do?id=JORFTEXT000038850867These prices exclude taxes and transportation fees. The "Option Base" offers a flat price throughout the day. The "Option Heures Creuses" has a higher price for peak (6:00-22:00) than off-peak (22:00-6:00) hours. EDF refers to peak hours as "Heures Pleines (HP)" and to off-peak hours as "Heures Creuses (HC)". The prices of these options only change, when EDF changes its electricity tariffs, which is up to three times per year. Conversely, the "Option Tempo" is a pricing scheme in which each day is either a high-price ("Rouge"), medium-price ("Blanc") or low-price ("Bleu") day. The price level of each day is announced by 10:30 am on the previous day. RTE, the French transmission system operator, keeps track of the daily price levels (https://www.services-rte.com/en/view-data-published-by-rte/schedule-of-Tempo-type-supply-offerings.html). The price data can be downloaded from RTE's eco2mix platform (https://www.rte-france.com/eco2mix/telecharger-les-indicateurs).

    6. conso_mix_RTE_2019.xls, which contains total French electricity demand throughout the year 2019 with 15 minute resolution. This data is provided by RTE, the French electricity system operator, at https://www.services-rte.com/en/download-data-published-by-rte.html?category=consumption&type=short_term (link live as of 27 March 2024).

    7. ReserveAjustement_2019.xlsx, which contains the quantities and availability price for four reserve products: "réserve primaire" (primary frequency regulation, which we use in this article), "réserve secondaire", "réserve rapide", and "réserve complémentaire", with 30 minute resolution throughout the year 2019. This data is provided RTE, the French electricity system operator, at https://www.services-rte.com/en/download-data-published-by-rte.html?category=market&type=balancing_capacity&subType=procured_reserves (link live as of 27 March 2024).

  10. D

    Environmental Listeria Mapping For RTE Rooms Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Environmental Listeria Mapping For RTE Rooms Market Research Report 2033 [Dataset]. https://dataintelo.com/report/environmental-listeria-mapping-for-rte-rooms-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Environmental Listeria Mapping for RTE Rooms Market Outlook



    According to our latest research, the global Environmental Listeria Mapping for RTE Rooms market size reached USD 1.21 billion in 2024. The market is experiencing robust momentum, propelled by stringent food safety regulations and the increasing prevalence of listeria outbreaks in ready-to-eat (RTE) food environments. The market is poised to expand at a CAGR of 7.8% from 2025 to 2033, reaching a projected value of USD 2.39 billion by 2033. This growth is underpinned by heightened awareness regarding foodborne illnesses, technological advancements in detection solutions, and a global shift toward proactive food safety management strategies.




    A primary growth driver for the Environmental Listeria Mapping for RTE Rooms market is the escalating demand for comprehensive food safety protocols within the RTE food industry. As consumers increasingly turn to convenience foods, the risk of contamination from pathogens like listeria monocytogenes has become a critical concern. Governments and regulatory bodies worldwide are enforcing more rigorous standards, compelling food manufacturers to invest in advanced environmental mapping solutions. These solutions not only help in the early detection and containment of listeria but also support compliance with evolving regulations such as the Food Safety Modernization Act (FSMA) in the United States and similar frameworks in Europe and Asia Pacific. The integration of environmental listeria mapping is thus becoming a non-negotiable aspect of modern food safety management, driving sustained market expansion.




    Technological innovation is another significant catalyst fueling market growth. The emergence of rapid detection assays, data analytics platforms, and automated sampling kits has revolutionized the way food processing environments monitor and mitigate listeria risks. These solutions enable real-time or near-real-time data acquisition, allowing for swift corrective actions and minimizing the risk of large-scale recalls. The adoption of digital platforms for data analytics further enhances the ability of food manufacturers and testing laboratories to identify contamination trends and implement targeted interventions. As a result, companies are increasingly leveraging these advanced tools to optimize their environmental monitoring programs, improve operational efficiency, and safeguard brand reputation, further boosting the Environmental Listeria Mapping for RTE Rooms market.




    Additionally, the globalization of food supply chains and the rise of private-label RTE products have amplified the need for robust listeria mapping strategies. International trade in food products has introduced new complexities in quality assurance and traceability, making it imperative for stakeholders to maintain high standards of hygiene across diverse geographic locations. This trend is particularly pronounced in the dairy, meat & poultry, and seafood segments, where the risk of cross-contamination is elevated due to the nature of production processes. The Environmental Listeria Mapping for RTE Rooms market is thus witnessing growing adoption across multiple food categories, as companies seek to mitigate risks and maintain consumer trust in an increasingly competitive global marketplace.




    From a regional perspective, North America currently leads the Environmental Listeria Mapping for RTE Rooms market, accounting for the largest share in 2024, followed closely by Europe. The Asia Pacific region is expected to register the fastest CAGR over the forecast period, driven by rising investments in food safety infrastructure and expanding RTE food markets. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by evolving regulatory landscapes and increasing awareness among food manufacturers. The regional dynamics of this market reflect a broader global shift toward proactive, technology-driven food safety management practices, positioning the Environmental Listeria Mapping for RTE Rooms market for sustained long-term growth.



    Solution Type Analysis



    The Environmental Listeria Mapping for RTE Rooms market by solution type encompasses a diverse range of products and platforms, each playing a pivotal role in enhancing food safety protocols. Among these, sampling kits form the backbone of environmental monitoring programs, offering standardized tools for the systematic collection of samples from various sur

  11. A

    NB 163 at Rte 8

    • data.amerigeoss.org
    erddap +2
    Updated Jul 15, 2019
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    ioos (2019). NB 163 at Rte 8 [Dataset]. https://data.amerigeoss.org/es/dataset/nb-163-at-rte-8
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    erddap, erddap-tabledap, htmlAvailable download formats
    Dataset updated
    Jul 15, 2019
    Dataset provided by
    ioos
    Time period covered
    May 7, 2019 - May 8, 2019
    Description

    Timeseries data from 'NB 163 at Rte 8' (urn:ioos:station:caltrans:3-d11)

  12. o

    Replication data for: The Right to Education Act: Trends in Enrollment, Test...

    • openicpsr.org
    Updated May 1, 2019
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    Manisha Shah; Bryce Steinberg (2019). Replication data for: The Right to Education Act: Trends in Enrollment, Test Scores, and School Quality [Dataset]. http://doi.org/10.3886/E116477V1
    Explore at:
    Dataset updated
    May 1, 2019
    Dataset provided by
    American Economic Association
    Authors
    Manisha Shah; Bryce Steinberg
    Description

    The Right to Education (RTE) Act passed in 2009 guarantees access to free primary education to all children ages 6-14 in India. This paper investigates whether national trends in educational outcomes change around the time of this law using household surveys and administrative data. We document four trends: (1) school-going increases after the passage of RTE, (2) test scores decline dramatically after 2010, (3) school infrastructure appears to improve both before and after RTE, and (4) the number of students who have to repeat a grade falls precipitously after RTE is enacted, in line with official provisions of the law.

  13. Data from: How to start a LINE: 5' switching rejuvenates LINE...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Oct 27, 2022
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    Nora Hartig; Nora Hartig; Kathrin M. Seibt; Kathrin M. Seibt; Tony Heitkam; Tony Heitkam (2022). How to start a LINE: 5' switching rejuvenates LINE retrotransposons in tobacco and related Nicotiana species [Dataset]. http://doi.org/10.5281/zenodo.7256660
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    Dataset updated
    Oct 27, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nora Hartig; Nora Hartig; Kathrin M. Seibt; Kathrin M. Seibt; Tony Heitkam; Tony Heitkam
    License

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

    Description

    Here we provide supplementary data for our study of Retrotransosable Elements (RTE) in tobacco and other Nightshades.

    In contrast to their conserved mammalian counterparts, plant long interspersed nuclear elements (LINEs) are highly variable, splitting into many low-copy families. Curiously, LINE families from the RTE clade retain a stronger sequence conservation and hence reach higher copy numbers. The cause of this RTE-typical property is not yet understood, but would help clarifying why some transposable elements are removed quickly whereas others persist in plant genomes. Here, we bring forward the first detailed study of RTE LINE structure, diversity and evolution in plants. For this, we argue that the Nightshade family is the ideal taxon to follow the evolutionary trajectories of RTE LINEs, given their high abundance, recent activity and partnership to non-autonomous elements.

    Using bioinformatic, cytogenetic and molecular approaches, we detect 4029 full-length RTE LINEs across the Solanaceae. We finely characterize and manually curate a core group of 458 full-length LINEs in allotetraploid tobacco, show amplification after polyploidization, and trace hybridization events by RTE LINE composition of parental genomes. Finally, we reveal the role of the untranslated regions (UTRs) as causes for the unique RTE LINE amplification and evolution pattern in plants: On one hand, we detect a highly conserved motif at the 3’ UTR, suggesting strong selective constraints acting on the RTE terminus. On the other hand, we observed successive rounds of 5’ UTR cycling, constantly rejuvenating the promoter sequences. This interplay between exchangeable promoters and conserved LINE bodies and 3’ UTR likely allows RTE LINEs to persist and thrive in plant genomes.

    This dataset contains the nHMMs and their underlying alignments that were used for RTE detection (S1 - S4). In addition, we provide the final multiple nucleotide alignment of 458 full length SolRTE LINEs (S5) and an alignment and an annotated list of 19 representative SolRTE LINEs of tobacco (S6 - S7). Sequence names include information on the analysed genome assembly of Nicotiana tabacum Cultivar ‘TN90’ (GCA_000715135.1; Sierro et al. 2014): scaffold position (scaffold identifier; start and stop position), and sequence orientation (forward = plus; reverse = minus). Sequences of the probes used for Fluorescent in situ hybridisation (FISH) were provided as S8.

  14. o

    State Rte Cross Street Data in Eminence, MO

    • ownerly.com
    Updated Dec 11, 2021
    + more versions
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    Ownerly (2021). State Rte Cross Street Data in Eminence, MO [Dataset]. https://www.ownerly.com/mo/eminence/state-rte-home-details
    Explore at:
    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    State Route E, Eminence, Missouri
    Description

    This dataset provides information about the number of properties, residents, and average property values for State Rte cross streets in Eminence, MO.

  15. n

    Consolidated daily withdrawals on the electricity transmission network by...

    • db.nomics.world
    Updated Oct 8, 2025
    + more versions
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    DBnomics (2025). Consolidated daily withdrawals on the electricity transmission network by section of activity (2020) [Dataset]. https://db.nomics.world/RTE/CONSOLIDATED_WITHDRAWALS_SECTOR
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    Dataset updated
    Oct 8, 2025
    Dataset provided by
    Réseau de transport d'électricité
    Authors
    DBnomics
    Description

    This dataset presents, since January 1, 2020, the consolidated values of extractions by consumers and producers connected to the electricity transmission network (RTE), by day, by grouping of economic activities at the first level (section), by connection voltage and by half-hour. These data are compiled from the metering equipment. For each half-hour, the power is supplied in MW. The daily energy is expressed in MWh.

  16. o

    US Rte 1 Cross Street Data in Whiting, ME

    • ownerly.com
    Updated Mar 10, 2022
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    Ownerly (2022). US Rte 1 Cross Street Data in Whiting, ME [Dataset]. https://www.ownerly.com/me/whiting/us-rte-1-home-details
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    Dataset updated
    Mar 10, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    U.S. Route 1, Whiting, Maine
    Description

    This dataset provides information about the number of properties, residents, and average property values for US Rte 1 cross streets in Whiting, ME.

  17. e

    Eximpedia Export Import Trade

    • eximpedia.app
    + more versions
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    Seair Exim, Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Romania, Bolivia (Plurinational State of), Pakistan, Swaziland, Chad, Moldova (Republic of), Liberia, Germany, Palestine, Ghana
    Description

    Rte Amazon Sac Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  18. D

    Data from: Population analysis of retrotransposons in giraffe genomes...

    • datasetcatalog.nlm.nih.gov
    • data.niaid.nih.gov
    • +1more
    Updated May 27, 2022
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    Petersen, Malte; Winter, Sven; Coimbra, Raphael T. F.; de Jong, Menno; Kapitonov, Vladimir V.; Nilsson, Maria A. (2022). Population analysis of retrotransposons in giraffe genomes supports RTE decline and widespread LINE1 activity in Giraffidae [Dataset]. http://doi.org/10.5061/dryad.ksn02v74f
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    Dataset updated
    May 27, 2022
    Authors
    Petersen, Malte; Winter, Sven; Coimbra, Raphael T. F.; de Jong, Menno; Kapitonov, Vladimir V.; Nilsson, Maria A.
    Description

    The majority of structural variation in genomes is caused by insertions of transposable elements (TEs). In mammalian genomes, the main TE fraction is made up of autonomous and non-autonomous non-LTR retrotransposons commonly known as LINEs and SINEs (Long and Short Interspersed Nuclear Elements). Here we present one of the first population-level analysis of TE insertions in a non-model organism, the giraffe. Giraffes are ruminant artiodactyls, one of the few mammalian groups with genomes that are colonized by putatively active LINEs of two different clades of non-LTR retrotransposons, namely the LINE1 and RTE/BovB LINEs as well as their associated SINEs. We analyzed TE insertions of both types, and their associated SINEs in three giraffe genome assemblies, as well as across a population level sampling of 48 individuals covering all extant giraffe species. Results The comparative genome screen identified 139,525 recent LINE1 and RTE insertions in the sampled giraffe population. The analysis revealed a drastically reduced RTE activity in giraffes, whereas LINE1 is still actively propagating in the genomes of extant (sub)-species. In concert with the extremely low activity of the giraffe RTE, we also found that RTE-dependent SINEs, namely Bov-tA and Bov-A2, have been virtually immobile in the last 2 million years. Despite the high current activity of the giraffe LINE1, we did not find evidence for the presence of currently active LINE1-dependent SINEs. TE insertion heterozygosity rates differ among the different (sub)-species, likely due to divergent population histories. Conclusions The horizontally transferred RTE/BovB and its derived SINEs appear to be close to inactivation and subsequent extinction in the genomes of extant giraffe species. This is the first time that the decline of a TE family has been meticulously analyzed from a population genetics perspective. Our study shows how detailed information about past and present TE activity can be obtained by analyzing large-scale population-level genomic data sets.

  19. A

    EB 94 JWO Rte 805

    • data.amerigeoss.org
    erddap +2
    Updated Jul 15, 2019
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    IOOS (2019). EB 94 JWO Rte 805 [Dataset]. https://data.amerigeoss.org/fi/dataset/eb-94-jwo-rte-805
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    html, erddap-tabledap, erddapAvailable download formats
    Dataset updated
    Jul 15, 2019
    Dataset provided by
    IOOS
    Time period covered
    May 7, 2019 - May 8, 2019
    Description

    Timeseries data from 'EB 94 JWO Rte 805 ' (urn:ioos:station:caltrans:28-d11)

  20. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Jan 25, 2025
    + more versions
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 25, 2025
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Mexico
    Description

    Rte De Mexico Sa De Cv Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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United States[old] (2019). RTE and Significant Natural Communities [Dataset]. https://data.amerigeoss.org/da_DK/dataset/rte-and-significant-natural-communities

RTE and Significant Natural Communities

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ogc wms, kml, zip, esri rest, html, geojson, csvAvailable download formats
Dataset updated
Jul 29, 2019
Dataset provided by
United States[old]
Description

The Vermont Fish and Wildlife Department's Natural Heritage Inventory (NHI) maintains a database of rare, threatened and endangered species and natural (plant) communities in Vermont. The Department is a member of the network of Natural Heritage Programs and Conservation Data Centres network that collaborates with NatureServe, which is the umbrella organization. The Element Occurrence (EO) records that form the core of the Natural Heritage Inventory database include information on the location, status, characteristics, numbers, condition, and distribution of elements of biological diversity using established Natural Heritage Methodology developed by NatureServe and The Nature Conservancy. An Element Occurrence (EO) is an area of land and/or water in which a species or natural community is, or was, present. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population or a group of nearby populations (e.g., metapopulation). For community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. Because they are defined on the basis of biological information, EOs may cross jurisdictional boundaries. An Element Occurrence record is a data management tool that has both spatial and tabular components including a mappable feature and its supporting database. EOs are typically represented by bounded, mapped areas of land and/or water or, at small scales, the centroid point of this area. EO records are most commonly created for current or historically known occurrences of natural communities or native species of conservation interest.

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