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zenodo28/100

Daily profiles (2030) 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 2030. 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2050) 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2040) of load 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;Auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each generation file and flexibility file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2050) of load 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;Auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each generation file and flexibility file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily load and flexibility profiles (2030) according to the Active Economy scenario of the electricity transmission system 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 the full transmission test network of Portugal as in 2030, considering an Active Economy scenario which is more trending towards renewables and electrification of the economy. The grid topology has been anonymized and contains 312 nodes, 592 branches and 8 interconnections with Spain. It is operated at 400 kV, 220 kV and 150 kV. There are 299 generators, and a label classifies each of them according to the generation technology type (e.g., Fossil Gas, Wind Onshore, etc.). A network model (MatPower format) including the grid information and considering realistic assumptions for unknown data was built from scratch taking into account the available public data released by the Portuguese TSO as in 2020 and then updated to 2030 conditions. The auxiliary spreadsheet contains the following hourly data: load data, generator status obtained from unit commitment, regulated voltage magnitude setpoint of each generator, transformer tap ratio and aggregated flexibility per consumption node.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2030) of load 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 2030. 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;Auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each generation file and flexibility file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2020) 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2030) of load of an urban electricity distribution network form 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 2030. 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily load and flexibility profiles (2020) of the electricity transmission system 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 the full transmission test network of Portugal as in 2020. The grid topology has been anonymized and contains 304 nodes, 557 branches and 7 interconnections with Spain. It is operated at 400 kV, 220 kV and 150 kV. There are 270 generators, and a label classifies each of them according to the generation technology type (e.g., Fossil Gas, Wind Onshore, etc.). A network model (MatPower format) including the grid information and considering realistic assumptions for unknown data was built from scratch taking into account the available public data released by the Portuguese TSO. Furthermore, this model contains a built-in snapshot regarding the 2019 winter peak. Considering the day when this peak load occurred, the auxiliary spreadsheet contains the following hourly data: load data, generator status obtained from unit commitment, regulated voltage magnitude setpoint of each generator, transformer tap ratio, power transformer data, power lines/cables data and aggregated flexibility per consumption node.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2020) 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each flexibility file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily profiles (2040) 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 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 &ldquo;snapshot&rdquo; or &ldquo;steady-state&rdquo; 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.&nbsp;The auxiliary load data comprises 12&nbsp; 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 &ldquo;read me&rdquo; file&nbsp; called &ldquo;Manual&rdquo; includes technical detailed information about&nbsp;how to read the data properly.&nbsp;For the sake of coherence, each generation file should be used together with the respective load data file.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Daily load and flexibility profiles (2030) according to the Slow Progression scenario of the electricity transmission system 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 the full transmission test network of Portugal as in 2030, considering a Slow Progression scenario which represents a lower demand increase and less renewables in the generation. The grid topology has been anonymized and contains 312 nodes, 592 branches and 8 interconnections with Spain. It is operated at 400 kV, 220 kV and 150 kV. There are 299 generators, and a label classifies each of them according to the generation technology type (e.g., Fossil Gas, Wind Onshore, etc.). A network model (MatPower format) including the grid information and considering realistic assumptions for unknown data was built from scratch taking into account the available public data released by the Portuguese TSO as in 2020 and then updated to 2030 conditions. The auxiliary spreadsheet contains the following hourly data: load data, generator status obtained from unit commitment, regulated voltage magnitude setpoint of each generator, transformer tap ratio and aggregated flexibility per consumption node.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Features of visitors in the context of island-based assemblage and foraging profile related to Avicennia species from Indian Sundarban mangroves

<p>This dataset demonstrates the assemblage pattern and foraging behavior of insect flower visitors on the&nbsp;<em>Avicennia officinalis&nbsp;</em>and&nbsp;<em>Avicennia marina</em>&nbsp;plant from the mangroves of Indian Sundarban.</p>

opencc-by-4.0May 2022View details →
zenodo28/100

3D-MSNet: A point cloud based deep learning model for untargeted feature detection and quantification in profile LC-HRMS data

<p>Supplementary data of 3D-MSNet</p>

opencc-by-4.0May 2022View details →
zenodo28/100

Divergent specialization of simple venom gene profiles among rear-fanged snake genera (Helicops and Leptodeira, Dipsadinae, Colubridae) datasets

<p>Table S1: GenBank accession numbers for mitochondrial sequences by species.</p>

opencc-by-4.0May 2022View details →
zenodo28/100

Phase behaviour and pH-solubility profile prediction of aqueous buffered solutions of ibuprofen and ketoprofen. FPE 2022

<p>All data for the figures in the publication.</p>

opencc-by-4.0May 2022View details →
zenodo28/100

Contrasting molecular profiles of clownfish and damselfish skin mucus-RPLC_negative_mode

<p>Raw abf files of data acquired in RPLC negative ionization mode for Lipidomics analysis</p>

opencc-by-4.0Jun 2022View details →
zenodo28/100

The effects of methane clathrates on the thermal and seismic profile of Titan's icy lithosphere

<p>Dataset and codes used in the publication of the same name. Two main folders include the data for the pure water ice model and a model with a 10 km clathrate lid. Within the main folders are SAC_files containing the synthetic seismograms and the Mineos surface wave dispersion data. The sac files are named by distance and component (vertical Z, East E or North N).&nbsp;</p>

opencc-by-3.0-usFeb 2022View details →
zenodo28/100

Contrasting molecular profiles of clownfishes and damselfishes-RPLC_positive_mode

<p>Lipidomics positive ionization mode acquired data samples</p>

opencc-by-4.0Aug 2022View details →
zenodo28/100

swissprot90_2022_03 COMER2 sequence profile database

<p>swissprot90_2022_03 COMER2 sequence profile database</p>

opencc-by-4.0Sep 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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