cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14870023
title: Hill of Towie wind farm open dataset

description: The Hill of Towie wind farm open dataset provides over 8 years of comprehensive operational data from a commercial wind farm in Scotland suitable for various wind energy research topics. This dataset includes:



Hill_of_Towie_turbine_metadata.csv: Metadata for the 21 Siemens SWT-2.3-VS-82 turbines including coordinates, rated power, rotor diameter and hub height.

2016.zip, 2017.zip, … , 2024.zip: 10-minute statistics and alarm log data from the Hill of Towie SCADA system zipped by year from January 2016 to August 2024 (inclusive). The data was downloaded from the Siemens wind farm SCADA Backup facility and converted to .csv format without modification except dropping certain columns to ensure anonymity for SCADA system users. All timestamps are in UTC and 10-minute timestamps represent the end of the 10-minute period.

Files ending in “_description.csv” provide descriptions of SCADA Backup file types, key 10-minute columns and key alarm codes.

Hill_of_Towie_AeroUp_install_dates.csv: provides information on AeroUp installation timing for each turbine.

Hill_of_Towie_ShutdownDuration.zip: contains 10-minute statistics calculated from a combination of the SCADA data and RES operator logs. This data quantifies downtime in seconds for each turbine for each 10 minutes (0 means no downtime, 600 means 10 minutes of downtime).


The dataset has been released by RES on behalf of TRIG under a CC-BY-4.0 open data license and is provided as is.  RES is the world’s largest independent renewable energy company and has been an industry innovator for over 40 years.  RES’ retrofit upgrade products such as AeroUp and TuneUp have been developed using expertise from deep knowledge of the industry.  TRIG, the owner of Hill of Towie, was one of the first investment companies investing in renewable energy infrastructure projects listed on the London Stock Exchange and is now a member of the FTSE-250 index.

The Hill of Towie open dataset provides a unique opportunity to study energy yield increase following wind farm upgrades. Upgrades contained in the dataset include:



T13 AeroUp installation completed 29 September 2021

AeroUp roll out to all other turbines from 14 July 2022 to 26 May 2023. Further details of install dates are provided in Hill_of_Towie_AeroUp_install_dates.csv.

TuneUp deployed to 8 of 9 test turbines 14 March 2024 (T02, T03, T06, T08, T09, T13, T16, T20) and the 9th test turbine (T21) on 2 May 2024


The Hill of Towie open dataset is applicable to many areas of research including:



validation of pre-construction energy yield models (including wind flow and wake models)

refinement of post-construction energy yield analysis techniques

wind farm performance analysis, alarm prediction and forecasting research


Example usage of the dataset is shown in this repository: https://github.com/resgroup/hill-of-towie-open-source-analysis

Acknowledgement

Thank you to TRIG for allowing us to make this dataset publicly available.

Thank you to the creators of the Kelmarsh and SMARTEOLE open datasets, which provided the inspiration for this dataset.
DOI: 10.6084/m9.figshare.26699681.v1
title: Additional file 2 of Rxn-INSIGHT: fast chemical reaction analysis using bond-electron matrices

description: Additional file 2. Spreadsheet with SMIRKS identifiers for named reaction patterns.
DOI: 10.6084/m9.figshare.26699681
title: Additional file 2 of Rxn-INSIGHT: fast chemical reaction analysis using bond-electron matrices

description: Additional file 2. Spreadsheet with SMIRKS identifiers for named reaction patterns.
DOI: 10.15468/dl.jk4hvu
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pilosella officinarum Vaill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (New Zealand)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 248 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067796-240626123714530/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.26699723
title: Additional file 2 of Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus

description: Additional File 2: Table S3. Mass-to-charge ratio (mz) and retention time (rt) for each lipid ion significantly associated with T1D and/or T2D in at least one of the analyses.
DOI: 10.15468/dl.3ab9kz
title: Occurrence Download

description: A dataset containing 1044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cedrela odorata L."
 ]
}

 The dataset includes 1044 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067797-240626123714530/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.26699723.v1
title: Additional file 2 of Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus

description: Additional File 2: Table S3. Mass-to-charge ratio (mz) and retention time (rt) for each lipid ion significantly associated with T1D and/or T2D in at least one of the analyses.
DOI: 10.15468/dl.y6p9ug
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.704126 -32.85208, 148.706372 -32.85208, 148.706372 -32.849834, 148.704126 -32.849834, 148.704126 -32.85208)), ((148.704126 -32.85208, 148.699634 -32.85208, 148.699634 -32.858817, 148.704126 -32.858817, 148.704126 -32.85208)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067798-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26699804
title: Additional file 1 of Complex effects of testosterone level on ectoparasite load in a ground squirrel: an experimental test for the immunocompetence handicap hypothesis

description: Additional file 1: Table S1. Original data used for analyses in this study.
DOI: 10.6084/m9.figshare.26699804.v1
title: Additional file 1 of Complex effects of testosterone level on ectoparasite load in a ground squirrel: an experimental test for the immunocompetence handicap hypothesis

description: Additional file 1: Table S1. Original data used for analyses in this study.
DOI: 10.6084/m9.figshare.26699834
title: Additional file 1 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 1. Training set for 2D-SAR.
DOI: 10.6084/m9.figshare.26699834.v1
title: Additional file 1 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 1. Training set for 2D-SAR.
DOI: 10.6084/m9.figshare.26699837
title: Additional file 2 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 2. Test set for 2D-SAR.
DOI: 10.6084/m9.figshare.26699837.v1
title: Additional file 2 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 2. Test set for 2D-SAR.
DOI: 10.6084/m9.figshare.26699840
title: Additional file 3 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 3. The molecular structures of VEGFR-2 inhibitors along with their corresponding pIC50.
DOI: 10.6084/m9.figshare.26699840.v1
title: Additional file 3 of QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking

description: Additional file 3. The molecular structures of VEGFR-2 inhibitors along with their corresponding pIC50.
DOI: 10.15468/dl.4nkaxe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.809678 -32.85208, 148.809678 -32.858817, 148.811924 -32.858817, 148.811924 -32.85208, 148.809678 -32.85208))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067799-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26699870
title: Additional file 3 of Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment

description: Additional file 3. Antibiotic resistance genes catalog. Antibiotic resistance genes open reading frames within our metagenome samples.
DOI: 10.6084/m9.figshare.26699870.v1
title: Additional file 3 of Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment

description: Additional file 3. Antibiotic resistance genes catalog. Antibiotic resistance genes open reading frames within our metagenome samples.
DOI: 10.6084/m9.figshare.26699873
title: Additional file 4 of Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment

description: Additional file 4. Supplementary Tables S1–S9.
DOI: 10.6084/m9.figshare.26699873.v1
title: Additional file 4 of Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment

description: Additional file 4. Supplementary Tables S1–S9.
DOI: 10.5281/zenodo.13323757
title: Gene-Environment interactions in the influence of maternal education on adolescent neurodevelopment using ABCD Study

description: Summary statistics for gene by maternal education effects
DOI: 10.15468/dl.yv9en3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.818662 -32.85208, 148.818662 -32.856571, 148.820907 -32.856571, 148.820907 -32.85208, 148.818662 -32.85208)), ((148.820907 -32.856571, 148.820907 -32.858817, 148.825399 -32.858817, 148.825399 -32.856571, 148.820907 -32.856571)), ((148.820907 -32.858817, 148.818662 -32.858817, 148.818662 -32.863309, 148.820907 -32.863309, 148.820907 -32.858817)), ((148.825399 -32.856571, 148.827645 -32.856571, 148.827645 -32.85208, 148.825399 -32.85208, 148.825399 -32.856571)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067800-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26699960
title: Additional file 1 of Child abuse and pubertal timing: what is the role of child sex and identity of the perpetrator?

description: Additional file 1. Subscale items of parent–child conflict tactics scale (CTS-PC).
DOI: 10.6084/m9.figshare.26699960.v1
title: Additional file 1 of Child abuse and pubertal timing: what is the role of child sex and identity of the perpetrator?

description: Additional file 1. Subscale items of parent–child conflict tactics scale (CTS-PC).
DOI: 10.6084/m9.figshare.26699963
title: Additional file 2 of Child abuse and pubertal timing: what is the role of child sex and identity of the perpetrator?

description: Additional file 2. Bivariate associations between early puberty/menarche and child abuse.
DOI: 10.6084/m9.figshare.26699963.v1
title: Additional file 2 of Child abuse and pubertal timing: what is the role of child sex and identity of the perpetrator?

description: Additional file 2. Bivariate associations between early puberty/menarche and child abuse.
DOI: 10.15468/dl.f7pswa
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duttaphrynus melanostictus (Schneider, 1799))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (India)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 179 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067801-240626123714530/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.26699978
title: Additional file 2 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26699978.v1
title: Additional file 2 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26699981
title: Additional file 3 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26699981.v1
title: Additional file 3 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26699984
title: Additional file 4 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26699984.v1
title: Additional file 4 of Transcriptomics aids in uncovering the metabolic shifts and molecular machinery of Schizochytrium limacinum during biotransformation of hydrophobic substrates to docosahexaenoic acid

description: Supplementary Material 4
DOI: 10.15156/bio/sh0189973.10fu
title: SH0189973.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189974.10fu
title: SH0189974.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189975.10fu
title: SH0189975.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189976.10fu
title: SH0189976.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189977.10fu
title: SH0189977.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189978.10fu
title: SH0189978.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189979.10fu
title: SH0189979.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189980.10fu
title: SH0189980.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.