100+ datasets found
  1. d

    IT Performance Dashboard: Service Level Agreement (SLA) Dashboard

    • catalog.data.gov
    • data.wu.ac.at
    Updated Apr 25, 2021
    + more versions
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    Department of Veterans Affairs (2021). IT Performance Dashboard: Service Level Agreement (SLA) Dashboard [Dataset]. https://catalog.data.gov/sv/dataset/it-performance-dashboard-service-level-agreement-sla-dashboard
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    Dataset updated
    Apr 25, 2021
    Dataset provided by
    Department of Veterans Affairs
    Description

    The IT Performance Dashboard is a trusted source for IT performance information across VA. This is available only on the VA intranet. The dashboard is a collection of information from Regions, VISNs, Facilities, and other VA offices across a range of departments within the Office of Information & Technology (OIT)�from Product Development and Information Security to Human Resources to Finance. It presents often-complex information in easy-to-understand dashboard reports.Currently, you can see performance reports relating to Customer Service, Service Level Agreements (SLAs), Systems, Monthly Performance Reports (MPR), IT Assets and Debt Score, Human Resources, and Network/Security. There is also a Facility CIO Center tab where you can see Quarterly Performance Reviews, an OIT Daily Brief tab where you can access OIT Daily Brief Reports, and a Product Delivery tab that takes you to the PMAS Dashboard. As the IT Performance Dashboard continues to evolve, you will be able to see a broader range of performance information � including custom reports, upon request.This page displays the Service Level Agreement (SLA) Reports on the IT Dashboard:�Administrative Data Repository Availability: This report displays the percentage of total monthly availability for the ADR system. The ADR system is the primary My HealtheVet (MHV) data store that serves as the authoritative source for MHV application demographic, identity management, and eligibility/enrollment information for all clinical patients and administrative staff.�Abandonment Rate: This report captures and reflects the percentage of callers that disconnect the call before having their call answered. Clicking on any of the lines on the chart denoting Regions will enable the user to drill down and view the Campus level data.�Exchange Availability: This report provides server availability for all the Exchange servers. Clicking on any of the lines on the chart denoting Regions will enable the user to drill down and view the server level data. In April-May 2014, we (ITPD team) discovered three servers in VISN 9 that were reporting less than 50% availability. We looked into these servers with the Exchange team and learned that they were not configured properly for SCOM. The Exchange team has resolved the issue as of April 20th and these servers are now reporting as they should. If you have questions please do not hesitate to contact us.�Vitria Interface Engine Availability: This report displays the percentage of total monthly availability for the enterprise VIE, which is used for the reliable and timely transmission of data between VistA and other systems.

  2. r

    Assessment of protocols and variance for specific leaf area (SLA) in 10...

    • researchdata.edu.au
    • adelaide.figshare.com
    Updated Mar 18, 2021
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    Rhys Morgan; Irene Martin Fores; Greg Guerin; Emrys Leitch (2021). Assessment of protocols and variance for specific leaf area (SLA) in 10 Eucalyptus species to inform functional trait sampling strategies for TERN Ausplots [Dataset]. http://doi.org/10.25909/14197298
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    Dataset updated
    Mar 18, 2021
    Dataset provided by
    The University of Adelaide
    Authors
    Rhys Morgan; Irene Martin Fores; Greg Guerin; Emrys Leitch
    License

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

    Description
    Introduction

    Functional trait-based approaches to ecological questions are becoming more common. The ongoing development of large functional trait databases has further enabled these kinds of studies.

    TERN is Australia's national land ecosystem observatory. Through monitoring more than 750 plots across major biomes and bioclimatic gradients, TERN Ecosystem Surveillance has collected over 40,000 voucher specimens with herbarium level taxonomic determinations. This collection represents an opportunity to generate high quality functional trait data for a large number of Australian flora.

    This pilot study aimed to test the feasibility of using the TERN collection to measure a simple morphological trait. Specific leaf area (SLA) is the one-sided area of a fresh leaf divided by its dry mass. We restricted our study to the Eucalyptus genus as Eucalyptus species are common in TERN monitoring plots and are often the dominant tree species. The results of the study should inform the future sampling strategy for SLA.


    Method

    The first component of the study was the measurement of leaves from voucher specimens. We located 30 Eucalyptus vouchers exclusively from South Australian plots (figure 1) and took 5 leaves from each specimen. The leaves were mounted onto sheets of paper and scanned with a flatbed scanner. Leaf area was measured from the scans using ImageJ software. The mounted leaves were placed into a plant press and dried in an oven for 24 hours at 70C. Each leaf was individually weighed using a 0.1mg microbalance.

    The second component was the collection and measurement of fresh leaf samples. We collected 5 leaves from 5 individuals for 3 species growing at Waite Conservation Reserve in Adelaide, South Australia. The leaves were mounted, scanned and measured as before. They were then dried in an oven for 72 hours at 70C and weighed with the same microbalance. The dried leaves were scanned and measured again so that leaf area shrinkage between fresh and dry leaves could be estimated.

    Shrinkage percentage was obtained using the formula:
    ((fresh area - dry area) / fresh area) * 100

    SLA was obtained for each leaf using the formula:
    dry area / dry mass

    We ran an Anova (type II) on our SLA data using the Car v3.0-10 package in R v4.0.3.


    Results

    The pilot dataset contained 225 leaves from 45 individuals encompassing 10 species.

    The mean shrinkage in leaf area was 10.27% with a standard deviation of 1.75%. This estimate came from 75 leaves (25 each from E. microcarpa, E. leucoxylon and E. camaldulensis subsp. camaldulensis).

    The Anova output (figure 2) revealed that variation between individuals of the same species contributed the most to the overall SLA variation (sumsq = 111.6, R^2 = 0.499). A substantial portion of the overall variation was also attributed to variation between species (sumsq = 88.5, R^2 = 0.396%). The residual variation (sumsq = 23.3, R^2 = 0.104) was attributed to the variation between leaves from the same individual. The boxplots of 'SLA by individual' and 'SLA by species' (figure 3) support these results.


    Recommendations

    The shrinkage results show that shrinkage due to water loss is consistent and predictable for Eucalyptus leaves. This means that leaf traits can be reliably measured from herbarium style collections and the data derived from such measurements can be compared and integrated with data from fresh leaves.

    By analysing the variance in the SLA data we have shown that the variation between individuals of the same species is significant and deserves further attention. However, the variation between species is also significant and should be captured in future studies. As such, we recommend that any subsequent attempt to construct a larger dataset of SLA measurements from the TERN voucher collection should focus on Eucalyptus species which are well represented. This will ensure that both intraspecific and interspecific variation is captured. Currently there are 27 Eucalyptus species with 10 or more vouchers, 47 species with 5 or more vouchers and 130 species with 1 or more voucher.

    The variation between individual leaves was found to be a small part of the overall variation. This means that in future it should not be necessary to measure 5 leaves from each individual. Measuring 1 leaf from an individual will likely give a reliable estimate of the individual's mean SLA.

    Certain changes to the TERN survey methodology could help to facilitate the accumulation of trait data. It is important that plant material taken for vouchers is the youngest fully mature material available and that it is from the outermost part of the canopy (i.e. sun leaves). This will help to ensure consistency and accuracy of trait measurements. When fruit/seeds are present they should be placed into a bag and kept with the voucher specimen. Taking ample plant material from each individual will ensure that destructive trait analysis does not affect the quality of the voucher specimen. Where a species is abundant or dominant it will be beneficial to take vouchers from multiple individuals to further investigate intraspecific and within-site trait variation.

    This study has served to highlight the potential for a trait database to be produced from the TERN voucher collection. It is evident that, for at least the Eucalyptus genus, there is valuable trait information contained in specimen vouchers which, if measured, could enable further research into important ecological questions (e.g. how does SLA vary intraspecifically and does it contribute to a species' environmental tolerance?).


    References

    Garnier, E, Shipley, B, Roumet, C & Laurent, G 2001, 'A standardized protocol for the determination of specific leaf area and leaf dry matter content', Functional Ecology, vol. 15, pp. 688-695.

    Munroe, S, Guerin, GR, Saleeba, T, , Martin-Fores, M, Blanco-Martin, B, Sparrow, B & Tokmakoff, A 2020. 'ausplotsR: An R package for rapid extraction and analysis of vegetation and soil data collected by Australia’s Terrestrial Ecosystem Research Network'. EcoEvoRxiv, DOI 10.32942/osf.io/25phx

    Nock, CA, Vogt, RJ & Beatrix, BE 2016, 'Functional Traits', eLS.

    Pérez-Harguindeguy, N, Díaz, S, Garnier, E, Lavorel, S, Poorter, H, Jaureguiberry, P, Bret-Harte, MS, Cornwell, WK, Craine, JM, Gurvich, DE, Urcelay, C, Veneklaas, EJ, Reich, PB, Poorter, L, Wright, IJ, Ray, P, Enrico, L, Pausas, JG, de Vos, AC, Buchmann, N, Funes, G, Quétier, F, Hodgson, JG, Thompson, K, Morgan, HD, ter Steege, H, van der Heijden, MGA, Sack, L, Blonder, B, Poschlod, P, Vaieretti, MV, Conti, G, Staver, AC, Aquino, S & Cornelissen, JHC 2016, 'New handbook for standardised measurement of plant functional traits worldwide', Australian Joural of Botany, vol. 64, pp. 715-716.

    Perez, TM, Rodriguez, J & Heberling, JM 2020, 'Herbarium-based measurements reliably estimate three functional traits', American Journal of Botany, vol. 107, no. 10, pp. 1457-1464.

    Queenborough, S 2017, 'Collections-based Studies of Plant Functional Traits', Scientia Danica, Series B, no. 6, pp. 223-236.

    Sparrow, B, Foulkes, J, Wardle, G. Leitch, E, Caddy-Retalic, S, van Leeuwen, S, Tokmakoff, A, Thurgate, N, Guerin, G & Lowe, A 2020. 'A Vegetation and soil survey method for surveillance monitoring of rangeland environments'. Frontiers in Ecology and Evolution, vol. 8, pp. 157.

    Tavsanoglu, C & Pausas, JG 2018, 'A functional trait database for Mediterranean Basin plants', Scientific Data, vol. 5, pp. 1-18.

    Torrez, V, Jorgensen, PM & Zanne, AE 2012, 'Specific leaf area: a predictive model using dried samples', Australian Journal of Botany, vol. 61, pp. 350-357.
  3. Global import data of Sla Printer

    • volza.com
    csv
    Updated Oct 3, 2025
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    Volza.LLC (2025). Global import data of Sla Printer [Dataset]. https://www.volza.com/p/sla-printer/import/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset provided by
    Volza
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    398 Global import shipment records of Sla Printer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  4. S

    Current SLA Inactive Licenses

    • data.ny.gov
    • catalog.data.gov
    Updated Mar 26, 2025
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    New York State Liquor Authority (2025). Current SLA Inactive Licenses [Dataset]. https://data.ny.gov/Economic-Development/Current-SLA-Inactive-Licenses/6dg3-2z7i
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    xml, csv, tsv, application/rssxml, application/rdfxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    New York State Liquor Authority
    Description

    Liquor Authority Inactive Licenses

  5. g

    SLA – Essential Public Order Data – 2020 | gimi9.com

    • gimi9.com
    Updated Dec 19, 2024
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    (2024). SLA – Essential Public Order Data – 2020 | gimi9.com [Dataset]. https://www.gimi9.com/dataset/eu_ceb316f4f464f50641a40140e7c597ba85b359b7/
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    Dataset updated
    Dec 19, 2024
    Description

    List of public contracts concluded in 2020 by Saint-Louis Agglomération (subject of the contract, amount, type of procedure, date of notification and publication, duration, etc.). This dataset is more than 90 % compliant with the Common Core of Local Data for the content format and 100 % for the structure._ _ _ Data referees: Marion Perez – Open Data Service – 03.89.70.46.67 Catherine Wiss – Public Order Service – 03.89.70.90.72

  6. U

    United States Loan Officer Survey: SLA: Very Important

    • ceicdata.com
    Updated Feb 15, 2025
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    United States Loan Officer Survey: SLA: Very Important [Dataset]. https://www.ceicdata.com/en/united-states/senior-loan-officer-opinion-survey-reason-for-strong-demand-for-commercial--industrial-loans/loan-officer-survey-sla-very-important
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2015 - Jan 1, 2018
    Area covered
    United States
    Variables measured
    Loans
    Description

    United States Loan Officer Survey: SLA: Very Important data was reported at 0.000 % in Apr 2018. This records a decrease from the previous number of 14.300 % for Jan 2018. United States Loan Officer Survey: SLA: Very Important data is updated quarterly, averaging 12.350 % from Jan 2008 (Median) to Apr 2018, with 42 observations. The data reached an all-time high of 73.300 % in Oct 2008 and a record low of 0.000 % in Apr 2018. United States Loan Officer Survey: SLA: Very Important data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA037: Senior Loan Officer Opinion Survey: Reason for Strong Demand for Commercial & Industrial Loans. Senior Loan Officer Survey Questionnaire: If demand for C&I loans has strengthened over the past three months, how important have been the increase in customer borrowing shifted to your bank from other bank or non bank sources because these other sources became less attractive on the possible reason of change?

  7. t

    BIOGRID CURATED DATA FOR SLA (Homo sapiens)

    • thebiogrid.org
    zip
    Updated Nov 16, 2016
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    BioGRID Project (2016). BIOGRID CURATED DATA FOR SLA (Homo sapiens) [Dataset]. https://thebiogrid.org/112394/table/homo-sapiens/sla.html
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    zipAvailable download formats
    Dataset updated
    Nov 16, 2016
    Dataset authored and provided by
    BioGRID Project
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Protein-Protein, Genetic, and Chemical Interactions for SLA (Homo sapiens) curated by BioGRID (https://thebiogrid.org); DEFINITION: Src-like-adaptor

  8. d

    SLA - Portrait démographique (catégories) du territoire en 2023

    • data.gouv.fr
    • grandestprod-backoffice.data4citizen.com
    • +3more
    csv, json
    Updated Jan 18, 2024
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    Saint-Louis Agglomération (2024). SLA - Portrait démographique (catégories) du territoire en 2023 [Dataset]. https://www.data.gouv.fr/en/datasets/sla-portrait-demographique-categories-du-territoire-en-2022/
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    json, csvAvailable download formats
    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Saint-Louis Agglomération
    License

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

    Description

    Jeu de données utilisé pour le portrait de territoire de Saint-Louis Agglomération, accessible via ce lien. Le portrait repose sur des données de l'INSEE principalement mais aussi DARES,URSSAF, etc.

  9. Global export data of Sla,battery

    • volza.com
    csv
    Updated Mar 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Sla,battery [Dataset]. https://www.volza.com/p/sla-or-battery/export/export-from-india/cod-iran/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    678 Global export shipment records of Sla,battery with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  10. d

    SLA - Espaces de coworking

    • data.gouv.fr
    • grandestprod-backoffice.data4citizen.com
    • +4more
    csv, json, zip
    Updated Aug 17, 2021
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    Saint-Louis Agglomération (2021). SLA - Espaces de coworking [Dataset]. https://www.data.gouv.fr/en/datasets/sla-espaces-de-coworking/
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    csv, json, zipAvailable download formats
    Dataset updated
    Aug 17, 2021
    Dataset authored and provided by
    Saint-Louis Agglomération
    License

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

    Description

    Localisation des espaces de coworking présents sur le territoire de Saint-Louis Agglomération (publics et privés). Ce jeu de données respecte à plus de 94% le Socle Commun des Données Locales (SCDL) pour le format du contenu et à 100% pour la structure. Personnes référentes des données : Marion Perez - Service Open Data - 03.89.70.46.67 Guillaume Dechambenoit - Service développement économique - 03.89.70.45.76

  11. d

    SLA - Stations de recharge pour véhicules électriques

    • data.gouv.fr
    • grandestprod-backoffice.data4citizen.com
    • +3more
    csv, json, zip
    Updated Aug 12, 2021
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    Saint-Louis Agglomération (2021). SLA - Stations de recharge pour véhicules électriques [Dataset]. https://www.data.gouv.fr/en/datasets/sla-stations-de-recharge-pour-vehicules-electriques/
    Explore at:
    json, csv, zipAvailable download formats
    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    Saint-Louis Agglomération
    License

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

    Description

    Localisation des stations de recharge pour véhicules électriques sur les 40 communes de Saint-Louis Agglomération. Pour chaque point de recharge, le nombre de bornes et le nombre de prises sont précisés. Personnes référentes des données : Marion Perez - Service Open Data - 03.89.70.46.67 Tiphaine Criqui - Service Climat/Energie - 03.89.70.93.67

  12. a

    ABS Census - B02 State And Statistical Local Area Of Usual Residence On...

    • data.aurin.org.au
    Updated Jun 28, 2023
    + more versions
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    (2023). ABS Census - B02 State And Statistical Local Area Of Usual Residence On Census Night By Sex (SLA) 1991 [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-census-b02-state-sla-usual-res-census-night-by-sex-sla-1991-na
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    Dataset updated
    Jun 28, 2023
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. This table contains data relating to state and statistical local area of usual residence on census night by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary.

  13. SLA Horizontal Control

    • data.gov.sg
    Updated Jun 6, 2024
    + more versions
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    Singapore Land Authority (2024). SLA Horizontal Control [Dataset]. https://data.gov.sg/datasets?topics=environment&page=4&sidebar=true&resultId=d_d999dcf2afbb4efe25442960c8772575
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    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Singapore Land Authorityhttp://www.sla.gov.sg/
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Land Authority. For more information, visit https://data.gov.sg/datasets/d_d999dcf2afbb4efe25442960c8772575/view

  14. SLA Dwelling Information

    • data.gov.sg
    Updated Jun 6, 2024
    + more versions
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    Singapore Land Authority (2024). SLA Dwelling Information [Dataset]. https://data.gov.sg/datasets?topics=environment&page=4&sidebar=true&resultId=d_0b50c86b009bd03968c7653be1410193
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    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Singapore Land Authorityhttp://www.sla.gov.sg/
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Land Authority. For more information, visit https://data.gov.sg/datasets/d_0b50c86b009bd03968c7653be1410193/view

  15. c

    State Liquor Authority (SLA) Alcoholic Beverage Wet and Dry Local Options:...

    • s.cnmilf.com
    • datadiscoverystudio.org
    • +3more
    Updated Nov 29, 2021
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    State of New York (2021). State Liquor Authority (SLA) Alcoholic Beverage Wet and Dry Local Options: Beginning 1948 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/state-liquor-authority-sla-alcoholic-beverage-wet-and-dry-local-options-beginning-1948
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    State of New York
    Description

    Dataset of in-force Local Options regarding sales of alcoholic beverages for municipalities across New York state beginning in 1948

  16. s

    India Sla Part Export Data, List of Sla Part Exporters in India

    • seair.co.in
    + more versions
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    Seair Exim, India Sla Part Export Data, List of Sla Part Exporters in India [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  17. a

    Submerged Land Act (SLA) Boundary

    • mapdirect-fdep.opendata.arcgis.com
    • azgeo-data-hub-agic.hub.arcgis.com
    • +3more
    Updated Feb 23, 2024
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    GeoPlatform ArcGIS Online (2024). Submerged Land Act (SLA) Boundary [Dataset]. https://mapdirect-fdep.opendata.arcgis.com/datasets/geoplatform::submerged-land-act-sla-boundary
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    Dataset updated
    Feb 23, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    These data contain a national scale Submerged Lands Act (SLA) boundary line, Limit of "8(g) Zone," line and Continental Shelf Boundary. The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. The Outer Continental Shelf Lands Act "8(g) Zone" lies between the Submerged Lands Act (SLA) boundary line and a line projected 3 nautical miles seaward of the SLA boundary line. Within this zone, oil and gas revenues are shared with the coastal state(s). The Continental Shelf Boundary defines the seaward limit of federally managed OCS lands. The line depicts the limit of U.S. jurisdiction for offshore mineral development.These data were created in the applicable NAD83 UTM or NAD27 UTM/SPCS Projection and re-projected to GCS WGS84 (EPSG 4326) for management in BOEM's enterprise GIS. However, this service in this collection has been published in WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857). Because GIS projection and topology functions can change or generalize coordinates, these data are NOT an OFFICIAL record for the exact boundaries. These data are to be used for Cartographic purposes only and should not be used to calculate area.

  18. v

    Global import data of Sla Battery

    • volza.com
    csv
    Updated Feb 18, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Sla Battery [Dataset]. https://www.volza.com/trade-data-global/global-exporters-importers-export-import-data-of-sla+battery-to-india
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    csvAvailable download formats
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    653 Global import shipment records of Sla Battery with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  19. d

    SLA - Données essentielles de la commande publique - 2022

    • data.gouv.fr
    • grandestprod-backoffice.data4citizen.com
    • +3more
    csv, json
    Updated Jan 18, 2024
    + more versions
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    Saint-Louis Agglomération (2024). SLA - Données essentielles de la commande publique - 2022 [Dataset]. https://www.data.gouv.fr/en/datasets/sla-donnees-essentielles-de-la-commande-publique-2022/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Saint-Louis Agglomération
    License

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

    Description

    Liste des marchés publics conclus en 2022 par Saint-Louis Agglomération (objet du marché, montant, type de procédure, date de notification et de publication, durée, etc). Ce jeu de données respecte à plus de 90% le Socle Commun des Données Locales pour le format du contenu et à 100% pour la structure. Personnes référentes des données : Marion Perez - Service Open Data - 03.89.70.46.67 Jessica Lutz - Service Juridique, Commande publique, Assemblée - 03.89.70.93.22

  20. d

    SLA - Taxe de séjour depuis 2018

    • data.gouv.fr
    • grandest-moissonnage.data4citizen.com
    • +4more
    csv, json
    Updated Apr 20, 2023
    + more versions
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    Saint-Louis Agglomération (2023). SLA - Taxe de séjour depuis 2018 [Dataset]. https://www.data.gouv.fr/en/datasets/sla-taxe-de-sejour-depuis-2018/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Apr 20, 2023
    Dataset authored and provided by
    Saint-Louis Agglomération
    License

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

    Description

    Ce jeu de données permet de visualiser l'évolution de la taxe de séjour en recette pour Saint-Louis Agglomération depuis 2018 selon le type d'hébergement : - Hôtel de tourisme - Meublés de tourisme - Chambres d'hôtes - Terrains de camping - Résidence de tourisme - Port de plaisance Personnes référentes des données : Marion Perez - Service Open Data - 03.89.70.46.67 Guillaume Dechambenoit - Service Economie, tourisme, emploi - 03.89.70.45.76

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Department of Veterans Affairs (2021). IT Performance Dashboard: Service Level Agreement (SLA) Dashboard [Dataset]. https://catalog.data.gov/sv/dataset/it-performance-dashboard-service-level-agreement-sla-dashboard

IT Performance Dashboard: Service Level Agreement (SLA) Dashboard

Explore at:
Dataset updated
Apr 25, 2021
Dataset provided by
Department of Veterans Affairs
Description

The IT Performance Dashboard is a trusted source for IT performance information across VA. This is available only on the VA intranet. The dashboard is a collection of information from Regions, VISNs, Facilities, and other VA offices across a range of departments within the Office of Information & Technology (OIT)�from Product Development and Information Security to Human Resources to Finance. It presents often-complex information in easy-to-understand dashboard reports.Currently, you can see performance reports relating to Customer Service, Service Level Agreements (SLAs), Systems, Monthly Performance Reports (MPR), IT Assets and Debt Score, Human Resources, and Network/Security. There is also a Facility CIO Center tab where you can see Quarterly Performance Reviews, an OIT Daily Brief tab where you can access OIT Daily Brief Reports, and a Product Delivery tab that takes you to the PMAS Dashboard. As the IT Performance Dashboard continues to evolve, you will be able to see a broader range of performance information � including custom reports, upon request.This page displays the Service Level Agreement (SLA) Reports on the IT Dashboard:�Administrative Data Repository Availability: This report displays the percentage of total monthly availability for the ADR system. The ADR system is the primary My HealtheVet (MHV) data store that serves as the authoritative source for MHV application demographic, identity management, and eligibility/enrollment information for all clinical patients and administrative staff.�Abandonment Rate: This report captures and reflects the percentage of callers that disconnect the call before having their call answered. Clicking on any of the lines on the chart denoting Regions will enable the user to drill down and view the Campus level data.�Exchange Availability: This report provides server availability for all the Exchange servers. Clicking on any of the lines on the chart denoting Regions will enable the user to drill down and view the server level data. In April-May 2014, we (ITPD team) discovered three servers in VISN 9 that were reporting less than 50% availability. We looked into these servers with the Exchange team and learned that they were not configured properly for SCOM. The Exchange team has resolved the issue as of April 20th and these servers are now reporting as they should. If you have questions please do not hesitate to contact us.�Vitria Interface Engine Availability: This report displays the percentage of total monthly availability for the enterprise VIE, which is used for the reliable and timely transmission of data between VistA and other systems.

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