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30,947 results for “Profile”
Profiles for profppikernel and Guo
<p>20 profiles generated from the proppikernel and Guo datasets. </p>
Field survey quadrat data - Exotic perennial grass invasion profiles differ between temperate threatened grassy communities
<p><b>Aim</b>: Exotic perennial grasses are significant invaders of native grassy communities and frequently multiple species invade communities, some from nearby agricultural areas. There is little understanding of the landscape distribution of many species, making prioritisation for control a difficult decision.</p> <p><b>Location</b>: New South Wales, Eastern Australia</p> <p><b>Methods</b>: We undertook field surveys of exotic perennial grasses at 139 sites from nine grassy threatened ecological communities across four regions and assessed whether the profiles of exotic species varied amongst regions and communities. We used a ranking of invasion risk based on plant characteristics to identify exotic perennial grasses that were likely to be the most invasive and then tested whether this ranking predicted the level of invasion measured in the survey.</p> <p><b>Results</b>: Using multivariate analysis we found that the threatened grassy communities surveyed were significantly invaded by exotic perennial grasses and that these assemblages were regionally distinct and distinct for most plant communities. Five widespread invaders were particularly established in all regions and communities, but regions also had distinct sets of invaders contributing significantly to degradation. Invasion by trade-off species was the most significant threat to grassy communities in all regions. We showed that species with higher risk rankings based on plant characteristics were recorded in more sites but there were a few grasses that were more invasive than their ranking predicted.</p> <p><b>Main conclusions</b>: Our findings indicate that management of grassy plant communities for exotic perennial grasses should be undertaken at the community level although there are a suite of species that are important invaders in the whole landscape where improved understanding of pathways of invasion are needed for management across regions. We identified a set of species which are important invaders but are not a focus in management currently, largely because many of these are species used in pastures. Our study illustrates that higher levels of invasion were associated with species that were ranked more invasive on plant characteristics and this ranking could be used to initially allocate priorities for management of threatened plant communities. Trade-off species remain the major cause of degradation and must be included in discussions of regional conservation.</p>
Data from: Association of venous outflow profiles and successful vessel reperfusion after thrombectomy
<p><b>Background and Purpose</b>: Robust arterial collaterals are associated with successful reperfusion after thrombectomy treatment of acute ischemic stroke due to large vessel occlusion (AIS-LVO). Excellent venous outflow (VO) reflects excellent tissue perfusion and collateral status in AIS-LVO patients.</p> <p><b>Objective</b>: To determine whether favorable VO profiles assessed on pre-treatment CT angiography (CTA) images correlate with successful vessel reperfusion after thrombectomy in AIS-LVO patients.</p> <p><b>Materials and Methods</b>: Multicenter retrospective cohort study of consecutive AIS-LVO patients treated by thrombectomy. Baseline CTA was used to assess collateral status (Tan scale) and <span>VO using the </span>cortical vein opacification score (COVES). Favorable VO was defined as COVES ≥3. Primary outcome was excellent vessel reperfusion status (modified Thrombolysis In Cerebral Infarction [TICI] 2c-3). Secondary outcome was good functional outcome defined as 0-2 on the Modified Ranking Scale (mRS) after 90 days.</p> <p><b>Results</b>: 565 patients met inclusion criteria. Multivariable logistic regression analysis showed that favorable VO (OR= 2.10 [95% CI 1.39-3.16]; p<0.001) was associated with excellent vessel reperfusion during thrombectomy, regardless of good CTA collateral status (OR= 0.87 [95%CI 0.58-1.34]; p=0.48). A favorable VO profile (OR= 8.9 [95%CI 5.3-14.9]; p<0.001) and excellent vessel reperfusion status (OR = 2.7 [95%CI 1.7-4.4]; p<0.001) were independently associated with good functional outcome adjusted for age, sex, glucose, tPA administration, good CTA collateral status and presentation NIHSS.</p> <p><b>Conclusion</b>: A favorable VO profile is associated with reperfusion success and good functional outcomes in patients with AIS-LVO treated by endovascular thrombectomy.</p>
Daily profiles (2020) of load of a rural synthetic electricity distribution network from UK – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a synthetic UK Distribution network located in a rural area (Exchange St.) as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 6.6 kV, has 66 nodes and 66 branches. The auxiliary load data comprises 1 typical winter day gathering the active and reactive consumption at each node of the network in intervals of 1 hour.</p>
Daily profiles (2020) of load of a electricity distribution network (40 nodes) from Croatia – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Distribution network, totally anonymized, located in Croatia as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 400 V, 35 kV, 20 kV and 10 kV, has 40 nodes, 59 branches and 14 generators modelled as negative loads. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at specific feeders of the network in intervals of 15 minutes. Besides, a single line diagram of the network is also provided.</p>
Daily profiles (2020) of load of a electricity distribution network (25 nodes) from Croatia – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Distribution network, totally anonymized, located in Croatia as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 110 kV, 35 kV, 20 kV and 10 kV, has 25 nodes, 34 branches and 107 generators modelled as negative loads. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at specific feeders of the network in intervals of 15 minutes. Besides, a single line diagram of the network is also provided.</p>
Daily profiles (2020) of load of a electricity distribution network (24 nodes) from Croatia – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Distribution network, totally anonymized, located in Croatia as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 110 kV, 35 kV, 10 kV and 400 V, has 24 nodes, 32 branches and 2 generators modelled as negative loads. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at specific feeders of the network in intervals of 15 minutes. Besides, a single line diagram of the network is also provided.</p>
Daily profiles (2020) of load of a electricity distribution network (26 nodes) from Croatia – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Distribution network, totally anonymized, located in Croatia as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 220 kV, 110 kV, 35 kV, 10 kV and 400 V, has 26 nodes, 32 branches and 97 generators modelled as negative loads. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at specific feeders of the network in intervals of 15 minutes. Besides, a single line diagram of the network is also provided.</p>
Daily profiles (2020) of load of a electricity distribution network (86 nodes) from Croatia
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Distribution network, totally anonymized, located in Croatia as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV, has 86 nodes, 87 branches and 4 generators modelled as negative loads. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at specific feeders of the network in intervals of 15 minutes. Besides, a single line diagram of the network is also provided.</p>
Daily profiles (2020) of load of an urban synthetic electricity distribution network from UK – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a synthetic UK Distribution network located in an urban area (Green Lane – Altrincham) as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 11 kV, has 30 nodes and 30 branches. The auxiliary load data comprises 1 typical winter day gathering the active and reactive consumption at each node of the network in intervals of 1 hour.</p>
Daily profiles (2020) of load and flexibility of a semi-urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a semi-urban area as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 30 kV and 60 kV, has 191 nodes (100 with consumption) and 190 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprises 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>
Daily profiles (2020) of load, generation and flexibility of a rural distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a rural area as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV, 30 kV and 60 kV, has 103 nodes (46 with consumption) and 102 branches. Both auxiliary load data and auxiliary generation data comprise 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprises 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each generation file and flexibility file should be used together with the respective load data file.</p>
Daily profiles (2040) of load and flexibility of a semi-urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a semi-urban area as in 2040. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 30 kV and 60 kV, has 191 nodes (100 with consumption) and 190 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprises 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>
Daily profiles (2040) of load of an urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in an urban area as in 2040. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV and 60 kV, has 207 nodes (99 with consumption) and 206 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly.</p>
Daily profiles (2040) of load and flexibility of an urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in an urban area as in 2040. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV and 60 kV, has 221 nodes (104 with consumption) and 220 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprise 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>
Daily profiles (2050) of load and flexibility of a semi-urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a semi-urban area as in 2050. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 30 kV and 60 kV, has 191 nodes (100 with consumption) and 190 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprises 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>
Daily profiles (2050) of load and generation of a semi-urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a semi-urban area as in 2050. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 15 kV, 30 kV and 60 kV, has 229 nodes (118 with consumption) and 229 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each generation file should be used together with the respective load data file.</p>
Daily profiles (2050) of load and flexibility of an urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in an urban area as in 2050. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV and 60 kV, has 221 nodes (104 with consumption) and 220 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary flexibility files comprise 4 typical days (business day of summer, Sunday of summer, business day of winter and Sunday of winter) gathering the upward and downward active power of flexibility at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>
Daily profiles (2020) of load of a semi-urban synthetic electricity distribution network from UK – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a synthetic UK Distribution network located in a semi-urban area (Clover Hill) as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 6.6 kV, has 38 nodes and 39 branches. The auxiliary load data comprises 1 typical winter day gathering the active and reactive consumption at each node of the network in intervals of 1 hour.</p>
Daily profiles (2020) of load and generation of a semi-urban electricity distribution network from Portugal – ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in a semi-urban area as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 15 kV, 30 kV and 60 kV, has 229 nodes (118 with consumption) and 229 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. The auxiliary generation files comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive generation at each node with production in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly. For the sake of coherence, each generation file should be used together with the respective load data file.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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