cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jkmsu4
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IASTracker. Invasive Alien Species database"
 ]
}

 The dataset includes 459 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016458-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14047067
title: NETTAG+ Data set on adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants in fishing nets

description: This data set includes the raw data associated with the article in Marine Pollution Bulletin "Potential of fishing nets for adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants"
DOI: 10.5281/zenodo.14047068
title: NETTAG+ Data set on adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants in fishing nets

description: This data set includes the raw data associated with the article in Marine Pollution Bulletin "Potential of fishing nets for adsorption of inorganic (Cu and Pb) and organic (PAHs) pollutants"
DOI: 10.34740/kaggle/dsv/9915196
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.r68jx8
title: Occurrence Download

description: A dataset containing 65700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "DatasetKey is one of (Données de l'inventaire forestier national de l'IGN-Relevés floristiques du protocole de l'Inventaire National Forestier de l'IGN, Centralisation des observations floristiques dans le cadre du SINP - Observations floristiques - plateforme SINP régionale SILENE PACA, Données acquises par le Conservatoire botanique national du Bassin parisien et son réseau (bénévoles, associations, autres structures professionnelles) - Flore du Bassin parisien (CBNBP), Centralisation des observations floristiques - Observations floristiques issues de la base de données du Conservatoire botanique national alpin, 16 - Inventaire général de la flore et de la fonge - CBNA - inventaire général de la flore et de la fonge réalisé sur le terrain, Centralisation des observations floristiques - Observations floristiques floutées issues de la base de données flore du Conservatoire botanique national alpin, Protocole d'inventaire de la flore vasculaire à l'échelle communale-Inventaire de la flore vasculaire par commune)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 65700 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016460-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qje5d
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carybdea murrayana Haeckel, 1880"
 ]
}

 The dataset includes 53 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016461-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pa994
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Pachira glabra Pasq."
 ]
}

 The dataset includes 256 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016462-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qkf9m
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is IASTracker. Invasive Alien Species database"
 ]
}

 The dataset's 14 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016459-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pwd8p
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Pachira glabra Pasq."
 ]
}

 The dataset includes 256 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016463-241107131044228/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.27759279
title: Go annotattions

description: Go terms tiles from RNA seq
DOI: 10.15468/dl.n43zjy
title: Occurrence Download

description: A dataset containing 174897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany"
 ]
}

 The dataset includes 174897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016456-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14164911
title: Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382

description: The datasets available for open access from the article ‘Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).

The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.
DOI: 10.5281/zenodo.14164912
title: Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382

description: The datasets available for open access from the article ‘Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).

The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.
DOI: 10.15468/dl.5k5bke
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ovis ammon (Linnaeus, 1758)",
 "Year 2000-2024"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016464-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14169303
title: Dataset for training the Surrogate Model of microlaser neurons on the reduced MNIST classification task

description: This dataset was used to train a surrogate multilayer perceptron surrogate model of microlaser neurons.

It is in csv format. It was generated using the Yamada Model as found in 

Selmi F, Braive R, Beaudoin G, Sagnes I, Kuszelewicz R and Barbay S 2014 Relative Refractory Period in an Excitable Semiconductor Laser Phys. Rev. Lett. 112 183902.
DOI: 10.5281/zenodo.14169304
title: Dataset for training the Surrogate Model of microlaser neurons on the reduced MNIST classification task

description: This dataset was used to train a surrogate multilayer perceptron surrogate model of microlaser neurons.

It is in csv format. It was generated using the Yamada Model as found in 

Selmi F, Braive R, Beaudoin G, Sagnes I, Kuszelewicz R and Barbay S 2014 Relative Refractory Period in an Excitable Semiconductor Laser Phys. Rev. Lett. 112 183902.
DOI: 10.5281/zenodo.13986867
title: Transport properties of doped wide band gap layered oxychalcogenide semiconductors Sr2GaO3CuCh, Sr2ScO3CuCh and Sr2InO3CuCh (Ch = S or Se)

description: The structural, electrical, and optical properties of a series of six layered oxychalcogenides with general formula Sr2MO3CuCh where M = Ga, Sc, or In and Ch = S or Se have been investigated. From this set we report the structure and properties of Sr2GaO3CuSe for the first time, as well as the full structural details of Sr2ScO3CuSe, which have not previously been available. A systematic study of the suitability of all the Sr2MO3CuCh phases as p-type conductors has been carried out, after doping with both sodium and potassium to a nominal composition of A0.05Sr1.95MO3CuCh, (A = Na or K), to increase the hole carrier concentration. Density functional theory calculations were used to determine the electronic band structure and predict the transport properties, while optical properties were determined using UV-vis spectroscopy, and structures confirmed using Rietveld refinement against powder X-ray diffraction data. Room temperature conductivity measurements were carried out on both pristine samples and doped samples, eighteen compositions in total, using four-point probe measurements. We found that the most conductive sample wasK0.05Sr1.95GaO3CuSe, with a measured conductivity of 0.46 Scm−1, collected from a sintered pellet. We have also been able to identify a relationship between the conductivity and the geometry of the copper chalcogenide layer within the Sr2MO3CuCh series of compounds. As this geometry can be controlled through the material composition, the identification of this structure-property relationship highlights a route to selection and identification of materials with even higher conductivities.

 

This repository contains the computational research data generated for *Transport properties of doped wide band gap layered oxychalcogenide semiconductors Sr2GaO3CuCh, Sr2ScO3CuCh and Sr2InO3CuCh (Ch = S or Se).

 

## Folder Architecture

The folders contain the structures relaxed with hybrid functionals (HSE06), the band structure and the uniform DOS and AMSET calculations for each system.
DOI: 10.5281/zenodo.13986868
title: Transport properties of doped wide band gap layered oxychalcogenide semiconductors Sr2GaO3CuCh, Sr2ScO3CuCh and Sr2InO3CuCh (Ch = S or Se)

description: The structural, electrical, and optical properties of a series of six layered oxychalcogenides with general formula Sr2MO3CuCh where M = Ga, Sc, or In and Ch = S or Se have been investigated. From this set we report the structure and properties of Sr2GaO3CuSe for the first time, as well as the full structural details of Sr2ScO3CuSe, which have not previously been available. A systematic study of the suitability of all the Sr2MO3CuCh phases as p-type conductors has been carried out, after doping with both sodium and potassium to a nominal composition of A0.05Sr1.95MO3CuCh, (A = Na or K), to increase the hole carrier concentration. Density functional theory calculations were used to determine the electronic band structure and predict the transport properties, while optical properties were determined using UV-vis spectroscopy, and structures confirmed using Rietveld refinement against powder X-ray diffraction data. Room temperature conductivity measurements were carried out on both pristine samples and doped samples, eighteen compositions in total, using four-point probe measurements. We found that the most conductive sample wasK0.05Sr1.95GaO3CuSe, with a measured conductivity of 0.46 Scm−1, collected from a sintered pellet. We have also been able to identify a relationship between the conductivity and the geometry of the copper chalcogenide layer within the Sr2MO3CuCh series of compounds. As this geometry can be controlled through the material composition, the identification of this structure-property relationship highlights a route to selection and identification of materials with even higher conductivities.

 

This repository contains the computational research data generated for *Transport properties of doped wide band gap layered oxychalcogenide semiconductors Sr2GaO3CuCh, Sr2ScO3CuCh and Sr2InO3CuCh (Ch = S or Se).

 

## Folder Architecture

The folders contain the structures relaxed with hybrid functionals (HSE06), the band structure and the uniform DOS and AMSET calculations for each system.
DOI: 10.5281/zenodo.14169310
title: QCA-2024-SCC-SU25530 R&D data

description: Project Code: QCA-2024-SCC-SU25530.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.14169309
title: QCA-2024-SCC-SU25530 R&D data

description: Project Code: QCA-2024-SCC-SU25530.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.17632/2mcwfc5dvs.1
title: A Comprehensive Synthetic Underwater Image Dataset

description: The dataset contains 100 photographic images that are treated as ground-truth images. On each ground truth image, the effects of underwater environment are applied and 150 synthetic underwater images are generated. Hence, the data set contains 100 ground-truth photographic images and 100*150=15000 synthetic underwater images. Four effects of the underwater environment, i.e., color cast, blurring, contrast reduction, and low light, are considered. These effects are applied individually and in combinations. Four effects result in a total of 15 combinations, and the effect of each combination is varied by considering 10 levels. This results in a total of 150 images for a single ground-truth image.
DOI: 10.17632/2mcwfc5dvs.3
title: MBU - A Comprehensive Synthetic Underwater Image Dataset

description: The dataset contains 100 photographic images that are treated as ground-truth images. On each ground truth image, the effects of underwater environment are applied and 150 synthetic underwater images are generated. Hence, the data set contains 100 ground-truth photographic images and 100*150=15000 synthetic underwater images. Four effects of the underwater environment, i.e., color cast, blurring, contrast reduction, and low light, are considered. These effects are applied individually and in combinations. Four effects result in a total of 15 combinations, and the effect of each combination is varied by considering 10 levels. This results in a total of 150 images for a single ground-truth image. In addition to this, 21 focus metrics are evaluated on all these 1,50,100 images. The metrics calculated are Absolute central moment (ACMO), Brenner's focus measure (BREN), Image curvature (CURV), Gray-level variance (GLVA), Gray-level local variance (GLLV), Gray-level variance normalized (GLVN), Squared gradient (GRAS), Helmli's measure (HELM), Histogram entropy (HISE), Histogram range (HISR), Energy of Laplacian (LAPE), Diagonal Laplacian (LAPD), Modified Laplacian (LAPM), Variance of Laplacian (LAPV), Tenengrad variance (TENV), Vollat's correlation (VOLA), Wavelet ratio (WAVR), Wavelet sum (WAVS), and Wavelet variance (WAVV). In addition, 7 statistical measures are also calculated. The statistical measures calculated are Mean Intensity, Standard Deviation, Skewness, Kurtosis, Entropy, Contrast, and Sharpness (Laplacian Variance). The literature categorizes these metrics as gradient-based and non-gradient-based.
DOI: 10.15468/dl.663jfk
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Fossil, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stiphrornis pyrrholaemus Schmidt & Angehr, 2008"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016466-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57707/fmi-b2share.5045c445712b4086840ac199e4b5d2b2
title: Data for the manuscript "Calibrating primary crop parameters to capture undersown species impacts" by Q. Bell et al.

description: Data required to replicate the results of Bell et al. "Calibrating primary crop parameters to capture undersown species impacts". Instructions and code to do so can be found at https://github.com/qdbell/TWINWIN-Intercrop. "Kumpula"-prefixed files are retrieved from FMI open data, TWINWIN_workspace and barley_sole_default.csv are modified from STICS to create suitable model set ups. The remaining files contain measurements from the TWINWIN experiment in Viikki.
DOI: 10.57707/fmi-b2share.3d2341e0ee694ced8972f2daae46ac0c
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's open-air solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu et al. (2025) (to be submitted to Geoscience Data Journal). 

The data files (*.csv) are PV system specific i.e. each data file contains all meteorological ancillary-PV and PV production data from one of the four different systems specifically. Each data file has a header explaining the variables (separated with ';'). The variables are somewhat different from site to site.

FMI_Helsinki_PV.csv
FMI_Kuopio_PV.csv
FMI_Sodankyla_20deg_PV.csv
FMI_Sodankyla_90deg_PV.csv

In addition to the data files there is a compressed tar archive containing hourly taken photographic images of the modules of the FMI's open-air solar laboratory in Sodankylä:

Sodankyla_module_images_2018-2021.tar.gz
DOI: 10.15468/dl.dvjn3j
title: Occurrence Download

description: A dataset containing 296229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea sativa Mill."
 ]
}

 The dataset includes 296229 records from 1651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016465-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhh4qb
title: Occurrence Download

description: A dataset containing 1369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "TaxonKey is Parthenium hysterophorus L."
 ]
}

 The dataset includes 1369 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244588-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxmyaf
title: Occurrence Download

description: A dataset containing 3882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropoda",
 "DatasetKey is Materials of the project \"Open biodiversity data: serving nature conservation in Ukraine\"",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 3882 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225613-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.