cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yfnxpj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinanga griffithii Becc."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076822-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5017637
title: Photovoltaic generation and temperature for the year 2019

description: This dataset has photovoltaic generation data and temperature data regarding a research building in ISEP/P.Porto (Instituto Superior de Engenharia do Porto / Politécnico do Porto). The data was measured using 5-minutes periods during the entire year of 2019. The temperature sensor was located near the photovoltaic panels (without having direct sunlight). The photovoltaic installation has a theoretical peak generation of 7.5 kW.The dataset presents some errors in the data, representing failures in the acquisition system.

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UIDB/00760/2020.
DOI: 10.5281/zenodo.5017638
title: Photovoltaic generation and temperature for the year 2019

description: This dataset has photovoltaic generation data and temperature data regarding a research building in ISEP/P.Porto (Instituto Superior de Engenharia do Porto / Politécnico do Porto). The data was measured using 5-minutes periods during the entire year of 2019. The temperature sensor was located near the photovoltaic panels (without having direct sunlight). The photovoltaic installation has a theoretical peak generation of 7.5 kW.The dataset presents some errors in the data, representing failures in the acquisition system.

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UIDB/00760/2020.
DOI: 10.15468/dl.zsxz9j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala labatii Wahlert, G.E.Schatz & Phillipson"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076823-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7330511
title: Photovoltaic generation data, for 3 years, regarding the 2022-3 Competition on solar generation forecasting

description: These data were released under the 2022-3 Competition on solar generation forecasting.

Please check our competitions: www.gecad.isep.ipp.pt/smartgridcompetitions

 

The data set comprises the power generated by photovoltaic panels and data collected from a near weather station.  The data was collected in 5 minutes periods. Data comprises:



Hour

Starting minute (inclusive)   

Ending minute (exclusive)    

Generated power (kW)

Temperature (ºC)          

Dewpoint (ºC)

Pressure (hPa)    

Wind Direction (Degrees)

Wind Speed (KM/h)

Wind Speed Gust (KM/h)

Humidity (%)

Hourly Precipitation (mm)

Daily rain (mm)

Solar Radiation (Watts/m2)


The data set represents raw data without any treatment, this means that it is possible to find errors. Data can have missing data or missing reading periods, and a fixed zero (0) value, indicating a failure in the system readings.

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UIDB/00760/2020.
DOI: 10.5281/zenodo.7330512
title: Photovoltaic generation data, for 3 years, regarding the 2022-3 Competition on solar generation forecasting

description: These data were released under the 2022-3 Competition on solar generation forecasting.

Please check our competitions: www.gecad.isep.ipp.pt/smartgridcompetitions

 

The data set comprises the power generated by photovoltaic panels and data collected from a near weather station.  The data was collected in 5 minutes periods. Data comprises:



Hour

Starting minute (inclusive)   

Ending minute (exclusive)    

Generated power (kW)

Temperature (ºC)          

Dewpoint (ºC)

Pressure (hPa)    

Wind Direction (Degrees)

Wind Speed (KM/h)

Wind Speed Gust (KM/h)

Humidity (%)

Hourly Precipitation (mm)

Daily rain (mm)

Solar Radiation (Watts/m2)


The data set represents raw data without any treatment, this means that it is possible to find errors. Data can have missing data or missing reading periods, and a fixed zero (0) value, indicating a failure in the system readings.

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.
description: The present work has received funding from National Funds through FCT under the project UIDB/00760/2020.
DOI: 10.15468/dl.ra79py
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plukenetia madagascariensis Leandri"
 ]
}

 The dataset includes 55 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076824-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9mu5baz
title: Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2019 - September 2022

description: The U.S. Geological Survey and a consortium of local governments in North Carolina have partnered together to track water quality and quantity conditions in several of the area’s water-supply reservoirs and streams, known as the Triangle Area Water Supply Monitoring Project (TAWSMP). This data release contains the associated data described in the Open-File Report, "Triangle Area Water Supply Monitoring Project, North Carolina-Overview of Hydrologic and Water-Quality Monitoring Activities and Data Quality Assurance". These datasets were collected during October 2019 - September 2022 (Water Years 2020-2022).

The data release includes nine items:

[Triangle_2020_22_Figure_1.pdf]: This figure shows site locations and types of water-quality sampling activities at each site. 
[readme_Triangle_2020_22.pdf]: This document summarizes the sampling phase(s) of the TAWSMP and reports additional details for which the current data release covers. 
[Triangle_2020_22_Table_1.csv]: This file contains all relevant site information for the water quality and streamflow monitoring network. 
[Triangle_2020_22_Table_2.csv]: This file provides details on the physical properties or constituents that are monitored and their analytical methods.
[Triangle_2020_22_Table_3.csv]: This file contains a summary of the environmental sample results, including numbers of samples and ranges of concentrations, for each site. 
[Triangle_2020_22_Table_4.csv]: This file provides the analytical results of field blanks, equipment blanks, and sampling-vehicle (ambient) blanks.
[Triangle_2020_22_Table_5.csv]: This file shows a summary of selected constituent data observed in blank and environmental samples. 
[Triangle_2020_22_Table_6.csv]: This file provides environmental sample data, the corresponding replicate sample data, and the relative percent differences.
[Triangle_2020_22_Table_7.csv]: This file contains the analytical results for each environmental water-quality sample.
DOI: 10.15468/dl.j73mw7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia hartleyi Ormerod"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076825-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hpvnn
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera albomarginata Kraenzl."
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076826-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68py57
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinanga heterophylla Becc."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076828-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kkqun
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phymaspermum leptophyllum (DC.) Benth. & Hook.fil."
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076827-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um87ht
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala lactiflora Paiva & Brummitt"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076829-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25517287
title: Spreadsheet with the in-person data collection.

description: Spreadsheet with the in-person data collection.<br>
DOI: 10.6084/m9.figshare.25517287.v1
title: Spreadsheet with the in-person data collection.

description: Spreadsheet with the in-person data collection.<br>
DOI: 10.15468/dl.qrr6k6
title: Occurrence Download

description: A dataset containing 1842 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Revealing migratory behaviour of South African leatherback turtles"
 ]
}

 The dataset includes 1842 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076830-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afegpt
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bactrocera latifrons (Hendel, 1912)"
 ]
}

 The dataset includes 480 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076831-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuys3x
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plukenetia procumbens Prain"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076832-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8sysd
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera algeriensis Batt. & Trab."
 ]
}

 The dataset includes 422 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076834-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e93tvz
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia hypsorrhynchos Schltr."
 ]
}

 The dataset includes 117 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076833-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8477jy
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala langebergensis Levyns"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076835-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxhjus
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phymaspermum montanum (Hutch.) Källersjö"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076836-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8byvgr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinanga hexasticha (Kurz) Scheff."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076837-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n73ad2
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plumbagella micrantha (Ledeb.) Spach"
 ]
}

 The dataset includes 362 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076838-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7pc3p
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala lasiosepala Levyns"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076839-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4gecd
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera amabilis Koidz."
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076841-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjy5m6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phymaspermum oppositifolium Magee & Ruiters"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076842-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnk48k
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phreatia infundibuliformis Ames"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076840-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jscyjq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinanga hookeriana Becc."
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076843-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6778401
title: Dataset of an Energy Community's Consumption and Generation with Appliance Allocation for One Year

description: The data describes an electrical energy community, containing photovoltaic (PV) production profiles and end-user consumption profiles, desegregated by individual appliances used. A dataset of a residential community was constructed based on real data, where sample consumption and photovoltaic generation profiles were attributed to 50 residential households and a public building (municipal library), a total of 51 buildings. The data concerns a full year. The overall power consumption of these houses was desegregated into the consumption of 10 commonly used appliances using real energy profiles. This work has been published in Elsevier's Data in Brief journal:<br> <em> Calvin Goncalves, Ruben Barreto, Pedro Faria, Luis Gomes, Zita Vale,<br> Dataset of an energy community's generation and consumption with appliance allocation,<br> Data in Brief, Volume 45, 2022, 108590, ISSN 2352-3409, </em><br> <em> https://doi.org/10.1016/j.dib.2022.108590<br> (https://www.sciencedirect.com/science/article/pii/S2352340922007971)</em> Reference data used to create this dataset: Renewable energy production profiles: https://site.ieee.org/pes-iss/data-sets/ End-user profiles: https://data.london.gov.uk/dataset/smartmeter-energy-use-data-in-london-households https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption https://site.ieee.org/pes-iss/data-sets/
description: This dataset is a result of the project RETINA (NORTE-01-0145-FEDER-000062), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team.
DOI: 10.5281/zenodo.7602546
title: A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles

description: This dataset represents a complete European energy community based on actual data. In this scenario, a community of 250 households was built using real energy consumption and solar generation data obtained in homes throughout Europe. In total, 200 community members were assigned solar generation, while 150 were assigned a battery storage system. From the acquired sample, new profiles were created and randomly assigned to each end-user while also receiving two electric cars with information on their capacity, state-of-charge, and usage. Furthermore, it is provided the electric vehicle chargers’ information on their location, type, and cost of operation.

 

This work has been published in Elsevier's Data in Brief journal:    Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale    Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles    Data in Brief, 2023, 109218, ISSN 2352-3409    https://doi.org/10.1016/j.dib.2023.109218    (https://www.sciencedirect.com/science/article/pii/S2352340923003372)

 

We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Data in Brief publication to cite this work.

 

Reference data used to create this dataset:



Filtered energy profiles and renewable energy production profiles: https://zenodo.org/record/6778401




Battery storage systems and electric vehicles: https://zenodo.org/record/4737293
description: This dataset is a result of the project RETINA (NORTE-01-0145-FEDER-000062), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team.
DOI: 10.6084/m9.figshare.25226064
title: Modeling Recurrent Failures on Large Directed Networks

description: Many lifeline infrastructure systems consist of thousands of components configured in a complex directed network. Disruption of the infrastructure constitutes a recurrent failure process over a directed network. Statistical inference for such network recurrence data is challenging because of the large number of nodes with irregular connections among them. Motivated by 16 years of Scottish Water operation records, we propose a network Gamma-Poisson Autoregressive NHPP (GPAN) model for recurrent failure data from large-scale directed physical networks. The model consists of two layers: the temporal layer applies a Non-Homogeneous Poisson Process (NHPP) with node-specific frailties, and the spatial layer uses a well-orchestrated gamma-Poisson autoregressive scheme to establish correlations among the frailties. Under the network-GPAN model, we develop a sum-product algorithm to compute the marginal distribution for each frailty conditional on the recurrence data. The marginal conditional frailty distributions are useful for predicting future failures based on historical data. In addition, the ability to rapidly compute these marginal distributions allows adoption of an EM type algorithm for estimation. Through a Bethe approximation, the output from the sum-product algorithm is used to compute maximum log-likelihood estimates. Applying the methods to the Scottish Water network, we demonstrate utility in aiding operation management and risk assessment of the water utility. Supplementary materials for this article are available online including a standardized description of the materials available for reproducing the work.