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35 results for “BES”
Assessing the Provision of a Multi-Ancillary Service Framework provided by PV-BES Systems (ProMiSe) - LAB Experiments
<p>This dataset comprises the results obtained during ProMiSe project. In particular, scope of ProMiSe is to test and validate a new unified control architecture used to overcome voltage violations and voltage unbalance issues by conducting real-time simulations and utilizing a power hardware-in-the-loop platform. The validation scheme reflects a range of different scenarios and realistic test cases of integration of the unified control strategy in modern distribution networks. In particular, three experiments are considered:</p> <p>- <strong>Experiment 1</strong>: The performance of the proposed unified strategy is evaluated in a low-voltage (LV) distribution network (DN). The LV DN, the detailed model of a three-phase, four-leg converter (3Ph4LC) and the deployed voltage regulation (VR) / voltage unbalance mitigation (VUM) algorithms are developed in the real time digital simulator (RTDS).</p> <p>- <strong>Experiment 2</strong>: The performance of the proposed unified strategy is evaluated in the LV DN of Experiment 1. The LV DN, the detailed model of a 3Ph4LC and the deployed VR/VUMalgorithms are developed in the RTDS. Compared to Experiment 1, in Experiment 2 the line <em>R/X</em> ratio is decreased, in order to demonstrate the impact of the <em>R/X</em> on the provided ancillary services. Here, it should be highlighted that grid voltage levels as well as the power levels of load nodes have been properly readjusted to achieve similar voltage levels to the point of the inter-connection (POI) of the 3Ph4LC with Experiment 1. </p> <p>- <strong>Experiment 3</strong>: The performance of the proposed unified strategy is evaluated in the LV DN of Experiment 1. The LV DN and the VR/VUM algorithms are developed in the RTDS. Compared to Experiment 1, in Experiment 3 the detailed model of the ProMiSe 3Ph4LC has been replaced with controllable current sources. Note that the filter has been remained in the analysis. Here, it should be highlighted that grid voltage levels have been properly readjusted to achieve similar voltage levels to POI with Experiment 1. In addition, due to a resonance problem observed during the test between the lab equipment and the virtual network in the software platform, the filter parameters are readjusted to overcome the problem.</p> <p>For each experiment, the obtained results are provided in csv format.</p> <p>For more Information regarding the ProMiSe project, the conducted simulations, as well as the files/variables expanation, please refer to ProMiSe-Info.pdf.</p>
Neighborhood Socioeconomic and demographic changes in Baltimore's (BES) Neighborhoods: 1930 to 2010
This dataset was created primarily to map and track socioeconomic and demographic variables from the US Census Bureau from year 1940 to year 2010, by decade, within the City of Baltimore's Mayor's Office of Information Technology (MOIT) year 2010 neighborhood boundaries. The socioeconomic and demographic variables include the percent White, percent African American, percent owner occupied homes, percent vacant homes, the percentage of age 25 and older people with a high school education or greater, and the percentage of age 25 and older people with a college education or greater. Percent White and percent African American are also provided for year 1930. Each of the the year 2010 neighborhood boundaries were also attributed with the 1937 Home Owners' Loan Corporation (HOLC) definition of neighborhoods via spatial overlay. HOLC rated neighborhoods as A, B, C, D or Undefined. HOLC categorized the perceived safety and risk of mortgage refinance lending in metropolitan areas using a hierarchical grading scale of A, B, C, and D. A and B areas were considered the safest areas for federal investment due to their newer housing as well as higher earning and racially homogenous households. In contrast, C and D graded areas were viewed to be in a state of inevitable decline, depreciation, and decay, and thus risky for federal investment, due to their older housing stock and racial and ethnic composition. This policy was inherently a racist practice. Places were graded based on who lived there; poor areas with people of color were labeled as lower and less-than. HOLC's 1937 neighborhoods do not cover the entire extent of the year 2010 neighborhood boundaries. The neighborhood boundaries were also augmented to include which of the year 2017 Housing Market Typology (HMT) the 2010 neighborhoods fall within. Finally, the neighborhood boundaries were also augmented to include tree canopy and tree canopy change year 2007 to year 2015.
Udayagiri, Madhya Pradesh. Ford over the River Bes below the north hill.
<p>Udayagiri, Madhya Pradesh. Ford over the River Bes below the north hill, prior to destruction. Low resolution format.</p>
Udayagiri, Madhya Pradesh. Ford over the River Bes below the north hill.
<p>Udayagiri, Madhya Pradesh. Ford over the River Bes below the north hill, prior to destruction.</p>
BioRECO2VER 1st BES platform at the University of Girona
<p>A tour through the world's 1st fully automated bio-electrochemical platform for carbon-neutral production from carbon dioxide and renewable energy. In contrast to prior attempts, this platform uses solely carbon-dioxide as a source. This BioRECO2VER prototype platform is located at the Scientific Parc of the University of Girona, Spain.</p>
Monthly aggregated climate projections of IPSL-CM5A-LR ISIMIP2a fasttrack data for the BES SIM study
<p>Climate projections used in the BES SIM study (Pereira et al. Science 2024). Netcdf files with average air surface temperature (tas) projections, minimum air surface temperature (tasmin), maximum air surface temperature (tasmax), total precipitation (pr), short wave downwelling radiation (rsds) and number of days with a precipitation above 1.0mm/day (wetday) bias corrected following Hempel et al. (2013), from ISIMIP2a fasttrack, for the model IPSL-CM5A-LR for each RCP scenario, with each file being named after the respective scenario (RCP2.6, RCP6.0, RCP8.5). Monthly means (monmean) or sums (monsum) are provided in a 0.5-degree horizontal resolution from the year 1901 to 2099.</p>
Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900-2050. Data and Code. Project BES-SIM 1.
<p>This archive contains all scripts and data used for analysis and figures for the paper <strong>Pereira et al. (2024). Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900-2050. Science. </strong>The paper is the result of the BES SIM 1 project. </p>
Stela of Bes from Kom Abu Billou
ID no.: MAK/AS/1447 Museum: Archaeological Museum in Kraków https://muzea.malopolska.pl/en/objects-list/1197 Digitalisation: RDW MIC, Małopolska's Virtual Museums Plus project Source: Objaverse 1.0 / Sketchfab
Plant metabarcoding analysis in a Ptolemaic Egyptian Bes-vase
<p><strong>The investigation into origins and meaning of ancient religious rituals stands as a central pursuit within the fields of archaeology and anthropology. Today, we possess a wealth of well-preserved artifacts, often in their original form, that serve as compelling narratives from both cultural and material perspectives. Through the application of aDNA metabarcoding analysis, we have gained the ability to decipher those natural substances employed for ritualistic or medicinal purposes within the intricate and enigmatic religious and cultural framework of Egyptian civilization. </strong></p> <p><strong>here we deposit the sequences obtained from 16 mg of powder material recovered from the vase was processed for nucleic acid extraction in a laboratory area dedicated to the analysis of ancient DNA (aDNA). A brand new commercial kit, Quick-DNA Plant/Seed Kits (ZymoResearch), was used to extract the DNA, which was eluted in a volume of 50 µL. To ensure there were no possible contaminations, mock extractions without samples were systematically performed. DNA amplifications were conducted in a final volume of 25 µL, using 5 µL of undiluted DNA extract as the template. The amplification mixture contained 12.5 µL of AccuStart™ II PCR ToughMix (Quantabio), 0.1 µM of each primer, and 1 Evagreen to monitor the amplification kinetics on a BIO-RAD CFX96 thermal cycler. The mixture was denatured at 94°C for 3 minutes, followed by cycles of 15 seconds at 94°C, 10 seconds at 55°C, and 20 seconds at 72°C. The P6 loop region of the trnL (UAA) intron was amplified in triplicate using the universal primers g (5′-GGGCAATCCTGAGCCAA-3′) and h (5′-CCATTGAGTCTCTGCACCTATC-3′), which were modified by the addition of an adapter sequence (Illumina, San Diego, CA, USA) on the 5′ ends (81). Amplicon sequencing was performed using the 2 × 150-bp paired-end method on the MiSeq platform with a MiSeq Reagent Kit v2 Nano (Illumina). The reads obtained from the sequencing were processed using the CLC Genomics Workbench software environment ver. 22.0.</strong></p>
Monthly aggregated climate projections of IPSL-CM5A-LR ISIMIP2a fasttrack data for the BES SIM study
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BES bird survey for Watershed 263, winter, 2012, survey data. This dataset pairs with a file of same name containing a summary of the survey.
This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The data consists of four major elements, Sites, Surveys, Taxalist, and Birds. Sites records the sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: Here are the fields Surveys: site_id FK->Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK->surveys[survey_id] site_id FK->surveys[site_id] species_id FK->taxalist[species_id] distance bird_count notes seen heard direction time_class
BES bird survey for Watershed 263, winter, 2012, survey summary. This dataset pairs with a file of same name containing the data (counts) for the survey.
This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The data consists of four major elements, Sites, Surveys, Taxalist, and Birds. Sites records the sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: Here are the fields Surveys: site_id FK->Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK->surveys[survey_id] site_id FK->surveys[site_id] species_id FK->taxalist[species_id] distance bird_count notes seen heard direction time_class
BES bird survey habitat features. This is a collection of the habitat features for the BES bird sampling points. Features include number of houses, proximity to trees, shrubs, grass, annuals, and other vegetation and physical features.
This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The data consists of four major elements, Sites, Surveys, Taxalist, and Birds. Sites records the sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: Here are the fields Surveys: site_id FK->Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK->surveys[survey_id] site_id FK->surveys[site_id] species_id FK->taxalist[species_id] distance bird_count notes seen heard direction time_class
BES Household Telephone Survey
Title: Baltimore Ecosystem Study (BES) Household Telephone Survey is a core dataset. The survey was conducted in years 1999 (n = 801), 2000 (n = 813), 2003 (n = 1508), 2006 (n = 3312), and 2011 (n = 1636). In year 2011, five other Metropolitan Statistical Areas (MSA), were also sampled: Boston, MA; Miami, FL; Minneapolis-St. Paul, MN; Phoenix, AZ; and Los Angeles. The overall sample size for year 2011 was 9,840. The professional survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, and demographic information. Questions can be addressed to Dexter H Locke (dexter.locke@gmail.com) and J Morgan Grove (jmgrove@gmail.com).
Stable Isotopic Composition of Nitrates and POM in BES Streams
In the Baltimore urban long-term ecological research (LTER) project, (Baltimore Ecosystem Study, BES) we use the watershed approach to evaluate integrated ecosystem function. The LTER research is centered on the Gwynns Falls watershed, a 17,150 ha catchment that traverses a gradient from the urban core of Baltimore, through older urban residential (1900 - 1950) and suburban (1950- 1980) zones, rapidly suburbanizing areas and a rural/suburban fringe. Stable isotopic analyses were carried out on stream samples collected bi-weekly from June 2005 through December 2005 as part of the routine Baltimore LTER sampling. Sites included POBR (forest), MCDN (agricultural), BARN (low-residential), GFGL (suburban), DRKR (urban), GFCP (urban), and RGHT (storm drain). Samples were also taken from a small tributary to the Gwynns Falls (GFGR), approximately 300 m above GFCP, that was highly contaminated with sewage. A major sewer leak to this stream was identified and repaired in April 2004. Stable isotopic analyses of soil water underneath fertilized lawns and atmospheric deposition was measured in long-term lawn study plots on the campus of the University of Maryland Baltimore County. Storm samples were also collected from 6 locations (DR1, DR3.1, DR3.2, DR4, DR5, DRKR gauge) within the Dead Run watershed over July 2005. At one site (DR3), two sets of samples were collected, one just above (DR3.1) and just below (DR3.2) an overflowing sewer. All stormflow samples were collected on the receding limb of the storm hydrograph, as the flashy nature of these urban streams makes sampling the rising limb difficult in terms of both timing and personal safety. Nitrate concentrations are a separate set of chemical analyses than the routine weekly analyses.
FIGURE 8–14 in Fossil Bibionidae (Diptera: Bibionomorpha) from the late Oligocene of Bes-Konak, Anatolia, Turkey
FIGURE 8–14. Bibio anatolicus sp.n., female. 8 head (MNHN BK 223). 9. antenna (MNHN B 47906). 10. fore tibia (MNHN BK 223). 11. hind leg (MNHN BK 223). 12. wing (MNHN B 47789). 13. terminalia, dorsal view (MNHN B 47789). 14. terminalia, lateral view (MNHN B 47906). Scale = 1mm.
FIGURE 22–28 in Fossil Bibionidae (Diptera: Bibionomorpha) from the late Oligocene of Bes-Konak, Anatolia, Turkey
FIGURE 22–28. Penthetria beskonakensis sp.n. 22. male, wing (MNHN B 47593). 23. male, terminalia, dorsal view (MNHN BK 223 8C). 24. female, habitus (MNHN B 47793). 25. female, head and thorax (MNHN B 47981). 26. female, antenna (MNHN BK 614). 27. female, wing (MNHN BK 614). 28. female, terminalia (MNHN BK 614). Scale = 1mm.
FIGURE 16–20 in Fossil Bibionidae (Diptera: Bibionomorpha) from the late Oligocene of Bes-Konak, Anatolia, Turkey
FIGURE 16–20. Bibio nigricosta sp.n., male. 16. hind leg (MNHN BK 450). 17. wing. (MNHN BK 450) Position of crossvein m-cu not possible to ascertain in this specimen. 18. terminalia, dorsal view (MNHN BK 450). 19. habitus (MNHN B 47847). 20. female (?), wing (MNHN B 47961). Scale = 1mm
FIGURE 2–6 in Fossil Bibionidae (Diptera: Bibionomorpha) from the late Oligocene of Bes-Konak, Anatolia, Turkey
FIGURE 2–6. Bibio anatolicus sp.n., male. 2. head (MNHN B 47754). 3. hind femur and tibia (MNHN B 48011). 4. wing (MNHN B 47826). 5. terminalia, dorsal view (MNHN B 47890). 6. gonocoxosternite, ventral view (MNHN B 47826). Scale = 1mm.
BES, EES, and ZES-R in Real World Practice
ClinicalTrials.gov study NCT01397175. IPD Sharing: Not stated. Countries: 1. Publications: 24.
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