cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v5kdmy
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus keta (Walbaum, 1792)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 197 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058198-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es683e
title: Occurrence Download

description: A dataset listing the 844 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.09854 -26.16772,30.23023 -26.16772,30.23023 -26.05762,30.09854 -26.05762,30.09854 -26.16772))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 844 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058190-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.28142915
title: Dataset for "Predatory Pricing in the Presence of Network Effects: Evidence from the Lab"

description: In this paper, we study predatory pricing, market tipping, and collusion in laboratory markets with network effects. In repeated two-player Hotelling games, we compare three experimental treatments: no network effects, weak network effects, and strong network effects. The experimental results show that predatory pricing is more likely in markets with weak or strong network effects than in markets without network effects. In markets with strong network effects, there is more market tipping than in markets without or with weak network effects. In markets with network effects, the increase in product value due to network effects predominantly passes on to consumers through the increased number of predatory prices. There is no difference in the tendency to collude between treatments. We discuss some possible implications of our results for the way predatory pricing is evaluated within the context of antitrust law.
DOI: 10.21942/uva.28142915.v1
title: Dataset for "Predatory Pricing in the Presence of Network Effects: Evidence from the Lab"

description: In this paper, we study predatory pricing, market tipping, and collusion in laboratory markets with network effects. In repeated two-player Hotelling games, we compare three experimental treatments: no network effects, weak network effects, and strong network effects. The experimental results show that predatory pricing is more likely in markets with weak or strong network effects than in markets without network effects. In markets with strong network effects, there is more market tipping than in markets without or with weak network effects. In markets with network effects, the increase in product value due to network effects predominantly passes on to consumers through the increased number of predatory prices. There is no difference in the tendency to collude between treatments. We discuss some possible implications of our results for the way predatory pricing is evaluated within the context of antitrust law.
DOI: 10.15468/dl.g552vx
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus spadiceus (Richardson, 1845)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058199-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrdc3j
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron philadelphicus L."
 ]
}

 The dataset includes 65 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058200-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzp7um
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus guentheri Miranda Ribeiro, 1915",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058201-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14604383
title: MPID : an open-source insulator dataset for UAV inspection of power lines

description: You will find in this repo a dataset [ images + annotations (Yolov7 format)] which I hope will be useful for your work (view samples from the dataset on figure 1). Especially, if you are interested in detecting insulator of different types present on electrical towers by computer vision methods.



MPID stands for Merged public insulator dataset. It is an open-source public dataset of real-world multi-type insulators for high voltage power line inspection by drone. The goal of MPID is to address the challenge faced by researchers in this field. It attempts to address the lack of diverse public data that best represents the deployment environment. MPID is built by merging diverse datasets of insulator images taken during drone inspections of transmission lines (see table 1). We form a set of insulator images from different times of the day, different seasons, different weather, different lighting, different angles, different cameras, and different regions of the world. But also, from different types and conditions. We collect 3 types of insulators including glass, porcelain and composite insulators. Some of the images contain insulators that have anomalies and others do not.

Once the images are collected, we clean up the images that are not of interest and label the insulators with rectangular bounding boxes, on some images that did not have labels. We use pre-trained models to detect the insulators onthe unlabeled images (Semi-automatic Annotation). And we correct the accuracy and consistency of the labels to ensure that all insulator instances are labeled on the images and that the labels are tightly wrapped on each insulator. We also check that each label corresponds to the right insulator family.We use the Roboflow platform for this job and we export results under Yolov7 annotation format. Finally, we form MPID. A merged open source dataset of real-world multi-type insulators for power line inspection by UAV fully annotated in the YOLO format.



All the images are under the CC by 4.0 license. You will find three different folders; one for each type (glass, porcelain and composite). In each folder, you will find the images and their labels in the Yolo format. Please feel free to contact me if you need any further information.
DOI: 10.5281/zenodo.14604384
title: MPID : an open-source insulator dataset for UAV inspection of power lines

description: You will find in this repo a dataset [ images + annotations (Yolov7 format)] which I hope will be useful for your work (view samples from the dataset on figure 1). Especially, if you are interested in detecting insulator of different types present on electrical towers by computer vision methods.



MPID stands for Merged public insulator dataset. It is an open-source public dataset of real-world multi-type insulators for high voltage power line inspection by drone. The goal of MPID is to address the challenge faced by researchers in this field. It attempts to address the lack of diverse public data that best represents the deployment environment. MPID is built by merging diverse datasets of insulator images taken during drone inspections of transmission lines (see table 1). We form a set of insulator images from different times of the day, different seasons, different weather, different lighting, different angles, different cameras, and different regions of the world. But also, from different types and conditions. We collect 3 types of insulators including glass, porcelain and composite insulators. Some of the images contain insulators that have anomalies and others do not.

Once the images are collected, we clean up the images that are not of interest and label the insulators with rectangular bounding boxes, on some images that did not have labels. We use pre-trained models to detect the insulators onthe unlabeled images (Semi-automatic Annotation). And we correct the accuracy and consistency of the labels to ensure that all insulator instances are labeled on the images and that the labels are tightly wrapped on each insulator. We also check that each label corresponds to the right insulator family.We use the Roboflow platform for this job and we export results under Yolov7 annotation format. Finally, we form MPID. A merged open source dataset of real-world multi-type insulators for power line inspection by UAV fully annotated in the YOLO format.



All the images are under the CC by 4.0 license. You will find three different folders; one for each type (glass, porcelain and composite). In each folder, you will find the images and their labels in the Yolo format. Please feel free to contact me if you need any further information.
DOI: 10.25318/3710026201-eng
title: Average scores in literacy, numeracy and adaptive problem solving, by occupation and gender

description: Average scores in literacy, numeracy and adaptive problem solving, by occupation and gender, population aged 16 to 65, Canada and provinces, 2022.
DOI: 10.15468/dl.xbcy7p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrodon spadiceus Richardson, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058202-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.28142936
title: Instances_ILP_RS.txt

description: Data used in "The Inventory Location Problem under periodic Inventory Control Policy (<i>R</i>, <i>S</i>): Modeling, solving and analysis"
DOI: 10.6084/m9.figshare.28142936.v1
title: Instances_ILP_RS.txt

description: Data used in "The Inventory Location Problem under periodic Inventory Control Policy (<i>R</i>, <i>S</i>): Modeling, solving and analysis"
DOI: 10.15468/dl.spepcv
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes cheni Barsukov, 1988",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058203-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spsdn8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Steno bredanensis (G.Cuvier, 1828)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058204-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d65zng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinus bredanensis G.Cuvier, 1828",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058205-241126133413365/datasets/export for details.
DOI: 10.25318/3710026201-fra
title: Scores moyens en littératie, numératie et résolution adaptative de problèmes, selon la profession et le genre

description: Scores moyens en littératie, numératie et résolution adaptative de problèmes, selon la profession et le genre, population âgée de 16 à 65 ans, Canada et provinces, 2022.
DOI: 10.15468/dl.u26dqn
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loliolus japonica (Hoyle, 1885)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 371 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6n23vy
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhincodon typus Smith, 1828",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17862/cranfield.rd.5841240.v1
title: Measurement of thermal conductivity of epoxy resins during cure

description: -         -Thermal_conductivity_glycerine:
Experimental and FE data of the thermal conductivity test run on glycerine at
100 degC and 4 degC. Includes also the sensitivity analysis of the measurement on
thermocouple misplacement.<br>

-         -RTM6_cure_kinetics_results:
Includes the isothermal and dynamic data for the RTM6 cure kinetics
characterisation and the corresponding model. It also includes the sensitivity
analysis on period and amplitude influence for RTM6<br>

-        - 890RTM_cure_kinetics_results:
Includes the isothermal and dynamic data for the 890RTM cure kinetics
characterisation and the corresponding model. It also includes the sensitivity
analysis on period and amplitude influence for 890RTM<br>

-         - XU3508_cure_kinetics_results:
Includes the isothermal and dynamic data for the XU3508 cure kinetics
characterisation and the corresponding model. <br>

-         -Di Benedetto_XU3508:
Includes the dataused to build the Di Benedetto equation for the XU3508 resin
system and the corresponding model<br>

-        - Cp_density_conductivity_data:
Includes the Cp data and model, the density and the thermal conductivity data
for the three resin systems under investigation: RTM6, 890RTM and XU3508<br>

-         -Thermal_conductivity_model:
Includes the data from the thermal conductivity tests for the three resin
system and the fitting of the experimental data with the analytical model.
DOI: 10.15468/dl.xkc2bg
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron sumatrensis Retz."
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2f68pw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhiniodon typus (Smith, 1828)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058209-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14536460
title: Model data used for figures in paper submitted to ACP "Different responses of cold-air outbreak clouds to aerosol and ice production depending on cloud temperature"

description: This dataset was the model output used for creating figures in the paper submitted to the ACP "Different responses of cold-air outbreak clouds to aerosol and ice production depending on cloud temperature". The two case studies were two cold-air outbreak events over the Labrador Sea on 15 March 2022 (150322) and 24 October 2022 (241022). The first six digits of the .nc files indicate the date. The time for model output is 16:45 UTC for the 15 March 2022 case, and 17:00 UTC for the 24 October 2022 case. Please refer to the preprint paper for more information about the model setup and model configurations for the sensitivity test simulations.

xxxxxx_2d.nc files contain the columnar/surface model output, including cloud cover, all-sky liquid water path, all-sky ice water path, surface snow precipitation rate, surface rain precipitation rate, incoming solar radiation flux at the top of the atmosphere, outgoing shortwave radiation flux at the top of the atmosphere, and outgoing shortwave radiation flux at the top of the atmosphere. Each xxxxxx_2d.nc file contains 7 groups from the sensitivity test simulations, including control, nd10, nd150, sinp0.0001, sinp100, ehm10, and ehm7000.

xxxxxx_3d_*.nc files contain the model output with vertical levels (80) for each model configuration, including temperature, pressure, grid-box mean liquid water content, grid-box mean ice water content, grid-box mean ice crystal number concentration, grid-box mean snow number concentration, liquid cloud volume fraction, ice cloud volume fraction and total cloud volume fraction.

Note that the data provided here are created on 2D coordinates (longitudes and latitudes are 2D arrays). This is because the nested UM model uses the rotated pole method and the model data here are the selected CAO domain subset. For 3D datasets, model height for a total of 80 levels is included.

If you have any problem with this dataset or require further information, please contact Xinyi Huang via email (ee21xh@leeds.ac.uk).
DOI: 10.15468/dl.8vpx7f
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gadus chalcogrammus Pallas, 1814",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 368 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058210-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z6py7
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theragra chalcogramma (Pallas, 1814)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058211-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60507/fk2/jbujfw
title: Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species
title: Raw results of the prediction of candidate genes for drought adaptation and results of the prediction of diversifying selection.

description: Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contains a table of all Conserved gene families with their respective genes. It also contains the raw results from the prediction of diversifying selection in all gene families.
description: A2TEA.Workflow, v1.0.0
description: R, 4.4.1
description: snakemake, 7.0.0
description: The research article is not yet published. The relation to the publication will be added upon publication of the research article.
DOI: 10.60507/fk2/jbujfw/adqulj
title: Uebermuth-Feldhaus_Readme.txt
DOI: 10.60507/fk2/jbujfw/h7ghzm
title: OGs_pos_selection_pvalues.tsv

description: a table with the p-values of the test for diversifying selection for all tested genes
DOI: 10.60507/fk2/jbujfw/o1cg9b
title: Conserved_dataset_matrix.tsv

description: a table of all conserved gene families and the respective genes of the four species
DOI: 10.60507/fk2/jbujfw/u3pmry
title: A2TEA_finished.RData

description: the raw results from the A2TEA.Workflow
DOI: 10.15468/dl.vtu9hb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theragra finnmarchica Koefoed, 1956",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058212-241126133413365/datasets/export for details.
DOI: 10.15468/dl.nztxgx
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "Geometry POLYGON((120.40576 17.81004,121.00033 17.81004,121.00033 18.68029,120.40576 18.68029,120.40576 17.81004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Year 2019-2023"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058213-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mh4a4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gadus finnmarchicus (Koefoed, 1956)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058214-241126133413365/datasets/export for details.
DOI: 10.15468/dl.45sd84
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron bonariensis L."
 ]
}

 The dataset includes 660 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058216-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmn5sp
title: Occurrence Download

description: A dataset containing 11687 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DZUB - Coleção Entomológica da Universidade de Brasília"
 ]
}

 The dataset includes 11687 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058215-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.