cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14439044
title: IEA Wind T54 Public Icing Event Database

description: The IEA Wind TCP Task 54 deals with "Cold Climate Wind Power". Worldwide, most of the major challenges faced by wind turbines in cold climate are related to the icing of rotor blades. In fact, rotor icing can lead to safety risks, production losses and turbine lifetime reduction.

Turbines can be equipped with Ice Protection Systems (IPS), such as rotor blade heating systems, in order to mitigate icing impacts. The efficiency of such systems is strongly dependent on the meteorological conditions that determine ice accretion and ice ablation, i.e. on the "icing conditions". Currently, none of the state-of-the-art blade heating systems is able to prevent icing in all conditions. They all have a limited "performance envelope".

The definition, interpretation and application of this performance envelope is key to many stages during development and operation of any wind turbine/farm incorporating blade heating systems at a cold climate site. From site assessment through operational control to forecasting electricity production, the performance envelope influences equipment choice, control strategies and the residual profit from the sale of the generated electricity and the purchase of balancing capacity. Task 54 thus strives to advance the knowledge base in these aspects and to provide tools for improving the aforementioned processes.The first step is choosing a suitable blade heating system and afterwards operating it with optimal settings for the site at hand. This implies knowledge about the typical characteristics of local icing events.

The major challenge in this respect is the large variability and diversity of icing events, in terms of ice type (from glaze to rime), icing intensity (mass and thickness of the ice) and temporal evolution (duration, growth rates, melting phases). Icing conditions can vary greatly between different regions of the world, but also between different events at the same site, or even in the course of a single icing event.

In this context, the Task 54 icing event database aims at giving concrete insights about the large diversity of icing events by gathering respective data from different parts of the world. The temporal evolution of single events shall be accessible via time series data. The goal is to focus on the icing events themselves rather than on turbine behaviour during icing.

Today, the vast majority of concrete information on wind turbine icing events is kept confidential for various reasons. Task 54 believes that a concrete and detailed public presentation of icing events will raise awareness among a wide range of stakeholders of the importance and impact of icing on the operation of wind turbines as well as the development of new projects in cold climate areas. Hence, the icing event database will be publicly accessible free of charge.
DOI: 10.5281/zenodo.14447171
title: IEA Wind T54 Public Icing Event Database

description: The IEA Wind TCP Task 54 deals with "Cold Climate Wind Power". Worldwide, most of the major challenges faced by wind turbines in cold climate are related to the icing of rotor blades. In fact, rotor icing can lead to safety risks, production losses and turbine lifetime reduction.

Today, the vast majority of concrete information on wind turbine icing events is kept confidential for various reasons. Task 54 believes that a concrete and detailed public presentation of icing events will raise awareness among a wide range of stakeholders of the importance and impact of icing on the operation of wind turbines as well as the development of new projects in cold climate areas. Hence, the icing event database is publicly accessible free of charge.

Any contribution showing direct or indirect measurements of icing is welcomed!

Contributions should fulfil the criteria listed in the document "call for contributions.pdf".
DOI: 10.5281/zenodo.14226504
title: Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review (Data and Materials)

description: This repository contains supplementary data and materials accompanying the systematic review titled "Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review". It provides Jupyter notebooks, review documents, and data extraction forms utilized in the study.

 


This systematic review offers a comprehensive analysis of scheduling algorithms designed for scientific workflows, particularly those handling Big Data. By examining research published between 2010 and 2023, we aim to provide a structured overview of the field, highlighting key trends and identifying existing gaps. This review will be valuable to researchers and practitioners in computer science who are involved in developing workflow management systems, deploying, and managing complex computational workflows that process Big Data across various scientific domains, including astronomy, bioinformatics and genomics, climate science, earth and environmental sciences, high-energy physics, and social sciences. These workflows are frequently executed on High-performance, Cloud, Fog, Grid, IoT, and hybrid computing systems. We focus on scheduling algorithms tailored for batch and stream processing workflows, cataloging them based on their optimization objectives (e.g., monetary cost, makespan, resource efficiency, energy consumption), optimization techniques (e.g., heuristics, meta-heuristics, machine learning), and assessment criteria (e.g., workflow complexity, computing environment scale, dataset size). Our analysis reveals that cloud computing remains the dominant environment for scientific workflow scheduling, but significant gaps persist in addressing stream processing workflows, resource efficiency, energy consumption, data movement, and applications in High-performance computing, IoT, and Hybrid systems. Moreover, the potential of machine learning techniques for scheduling algorithms remains largely untapped. By providing a comprehensive catalog of existing scheduling algorithms, this review aims to support future research and practical implementations in the field of scientific workflow scheduling.
DOI: 10.5281/zenodo.14226505
title: Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review (Data and Materials)

description: This repository contains supplementary data and materials accompanying the systematic review titled "Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review". It provides Jupyter notebooks, review documents, and data extraction forms utilized in the study.

 


This systematic review offers a comprehensive analysis of scheduling algorithms designed for scientific workflows, particularly those handling Big Data. By examining research published between 2010 and 2023, we aim to provide a structured overview of the field, highlighting key trends and identifying existing gaps. This review will be valuable to researchers and practitioners in computer science who are involved in developing workflow management systems, deploying, and managing complex computational workflows that process Big Data across various scientific domains, including astronomy, bioinformatics and genomics, climate science, earth and environmental sciences, high-energy physics, and social sciences. These workflows are frequently executed on High-performance, Cloud, Fog, Grid, IoT, and hybrid computing systems. We focus on scheduling algorithms tailored for batch and stream processing workflows, cataloging them based on their optimization objectives (e.g., monetary cost, makespan, resource efficiency, energy consumption), optimization techniques (e.g., heuristics, meta-heuristics, machine learning), and assessment criteria (e.g., workflow complexity, computing environment scale, dataset size). Our analysis reveals that cloud computing remains the dominant environment for scientific workflow scheduling, but significant gaps persist in addressing stream processing workflows, resource efficiency, energy consumption, data movement, and applications in High-performance computing, IoT, and Hybrid systems. Moreover, the potential of machine learning techniques for scheduling algorithms remains largely untapped. By providing a comprehensive catalog of existing scheduling algorithms, this review aims to support future research and practical implementations in the field of scientific workflow scheduling.
DOI: 10.57745/65cflk
title: electricity_house-group_details.json

description: :unav
DOI: 10.57745/ewilfi
title: electricity_apartment-summary.csv

description: :unav
DOI: 10.57745/mrqw2u
title: district_heating_apartment-group_details.json

description: :unav
DOI: 10.57745/njjobj
title: district_heating_house-group_details.json

description: :unav
DOI: 10.57745/okvhba
title: fuel-oil_apartment-group_details.json

description: :unav
DOI: 10.57745/oyfrqk
title: fuel-oil_apartment-summary.csv

description: :unav
DOI: 10.57745/usjazo
title: district_heating_apartment-summary.csv

description: :unav
DOI: 10.57745/xnoigj
title: electricity_house-summary.csv

description: :unav
DOI: 10.57745/ylvzmd
title: electricity_apartment-group_details.json

description: :unav
DOI: 10.57745/a17zji
title: other_apartment-summary.csv

description: :unav
DOI: 10.57745/araxv2
title: heat-pump_apartment-group_details.json

description: :unav
DOI: 10.57745/iupy2q
title: heat-pump_house-summary.csv

description: :unav
DOI: 10.57745/l26toz
title: wood-pellets_house-group_details.json

description: :unav
DOI: 10.57745/m6zvbw
title: fuel-oil_house-summary.csv

description: :unav
DOI: 10.57745/mmnf33
title: district_heating_house-summary.csv

description: :unav
DOI: 10.57745/qum0b9
title: gas_house-group_details.json

description: :unav
DOI: 10.57745/tmnem3
title: other_apartment-group_details.json

description: :unav
DOI: 10.57745/w889wh
title: gas_house-summary.csv

description: :unav
DOI: 10.57745/10wus0
title: other_house-summary.csv

description: :unav
DOI: 10.57745/66s4eu
title: heat-pump_house-group_details.json

description: :unav
DOI: 10.57745/deod5t
title: heat-pump_apartment-summary.csv

description: :unav
DOI: 10.57745/fyu75l
title: gas_apartment-summary.csv

description: :unav
DOI: 10.57745/gslfv8
title: wood-pellets_house-summary.csv

description: :unav
DOI: 10.57745/kyj6wa
title: gas_apartment-group_details.json

description: :unav
DOI: 10.57745/tubgpw
title: other_house-group_details.json

description: :unav
DOI: 10.57745/vc2zwa
title: readme_EtudELEC_en.md

description: Readme file with complementary information
DOI: 10.57745/y1yhcc
title: fuel-oil_house-group_details.json

description: :unav
DOI: 10.15468/dl.ntqxvh
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrogonium subpellucidum (Mitt.) Hilp."
 ]
}

 The dataset includes 22 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033396-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqj8vs
title: Occurrence Download

description: A dataset containing 34717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-7.51187 36.26578,-4.2668 36.26578,-4.2668 42.76638,-7.51187 42.76638,-7.51187 36.26578))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present",
 "Year 2015-2024"
 ]
}

 The dataset includes 34717 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033397-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbhwq9
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrogonium williamsii P.C.Chen"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033398-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12683225
title: Integrated Analysis of Seismic Sources and Structures: Understanding Earthquake Clustering during Hydraulic Fracturing

description: The zip file contains three-component waveform data from a refined earthquake catalog comprising 1369 seismic events detected during the monitoring period in the southern Sichuan Basin, China. The continuous seismic wavefield was recorded at a sampling frequency of 500 Hz, with an average station spacing of 300 meters. Each folder includes waveforms from 60 stations for a single seismic event. We have established a consistent reference point for the node array locations and detected events in local coordinates.
DOI: 10.5281/zenodo.14446538
title: Integrated Analysis of Seismic Sources and Structures: Understanding Earthquake Clustering during Hydraulic Fracturing

description: The uploaded files include the 3D velocity model, 2D seismic reflection profiles, and horizontal slice utilized in this study.
DOI: 10.15468/dl.htcxbq
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Canada",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033401-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14441791
title: MMSG-DTA
DOI: 10.15468/dl.bbf896
title: Occurrence Download

description: A dataset containing 11951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hymenostylium recurvirostrum (Hedw.) Dixon"
 ]
}

 The dataset includes 11951 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033400-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14447452
title: Shakespeare-Quartos-and-their-Folio-counterparts-in-XML-corrected-by-Gabriel-Egan

description: This is the subset of Hugh Craig's set of 318 early modern play editions containing Shakespeare's plays that were first published in quarto form before the publication of the 1623 Folio. Gabriel Egan made some minor corrections to the XML from Craig's set.
DOI: 10.5281/zenodo.14447453
title: Shakespeare-Quartos-and-their-Folio-counterparts-in-XML-corrected-by-Gabriel-Egan

description: This is the subset of Hugh Craig's set of 318 early modern play editions containing Shakespeare's plays that were first published in quarto form before the publication of the 1623 Folio. Gabriel Egan made some minor corrections to the XML from Craig's set.
DOI: 10.15468/dl.7hvj3y
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mammals MZS",
 "TaxonKey is Hominidae"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033402-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cry6rm
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crataegus pinnatifida Bunge"
 ]
}

 The dataset includes 709 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033403-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/vfgb5a
title: README.md

description: :unav
DOI: 10.15468/dl.cyjyhv
title: Occurrence Download

description: A dataset containing 1678574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Ghana, Gambia)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1678574 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033370-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8x8rz
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Amaranthus hypochondriacus L."
 ]
}

 The dataset includes 74 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033404-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14447607
title: The total predictability scores for forecast-based and combined methods across various sectors in the UK and Germany
DOI: 10.5281/zenodo.14447608
title: The total predictability scores for forecast-based and combined methods across various sectors in the UK and Germany
DOI: 10.15468/dl.jv5rvj
title: Occurrence Download

description: A dataset containing 4306 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrolamprus reginae (Linnaeus, 1758)"
 ]
}

 The dataset includes 4306 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033405-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3yhk9
title: Occurrence Download

description: A dataset containing 25358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parmotrema perlatum (Huds.) M.Choisy"
 ]
}

 The dataset includes 25358 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033406-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b82j3x
title: Occurrence Download

description: A dataset containing 9488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachycarpus fortunei (Hook.) H.Wendl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 9488 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018025-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8hjb6
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yucca gigantea Lem.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1049 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018026-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zab9sp
title: Occurrence Download

description: A dataset containing 118920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anarta trifolii Hufnagel, 1766",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118920 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018008-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cq465z
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaemya picta (Meigen, 1824)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 341 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018027-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaghnd
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agapanthus africanus (L.) Hoffmanns.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 778 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018028-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cc9fp
title: Occurrence Download

description: A dataset containing 25748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave americana L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 25748 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018029-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckdbua
title: Occurrence Download

description: A dataset containing 942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave attenuata Salm-Dyck",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 942 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018030-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v32b5d
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cecropia obtusifolia Bertol.",
 "Year 2010-2020"
 ]
}

 The dataset includes 554 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018031-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.