cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18452238
title: SuperDARN data in netCDF format (2011-Feb)

description: 2011-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6536125
title: SuperDARN data in netCDF format (2011-Feb)

description: 2011-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.asxehz
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lovoa swynnertonii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 52 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005999-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwmrve
title: Occurrence Download

description: A dataset containing 12211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "Year is 2026",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT"
 ]
}

 The dataset includes 12211 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006000-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66za2h
title: Occurrence Download

description: A dataset containing 28639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thecamoeba, Vannella, Rhizamoeba, Pelomyxa, Heleopera, Padaungiella, Hyalosphenia, Arcella, Centropyxis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28639 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006001-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yshdgn
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malleastrum mandenense",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 119 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006002-260129131611470/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.31224853
title: SDP/SDR DATA SET

description: Data set
DOI: 10.6084/m9.figshare.31224853.v1
title: SDP/SDR DATA SET

description: Data set
DOI: 10.15468/dl.skr6mb
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "MediaType is Image",
 "Year 1916-1920"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006004-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zysbvw
title: Occurrence Download

description: A dataset containing 28639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thecamoeba, Vannella, Rhizamoeba, Pelomyxa, Heleopera, Padaungiella, Hyalosphenia, Arcella, Centropyxis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28639 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006003-260129131611470/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.31171225
title: <b>Brain oxygen responses induced by arousing stimuli and fentanyl: generalized or structure-specific?</b>

description: This file contains one Supplementary Table with results of statistical evaluations.
DOI: 10.6084/m9.figshare.31171225.v1
title: <b>Brain oxygen responses induced by arousing stimuli and fentanyl: generalized or structure-specific?</b>

description: This file contains one Supplementary Table with results of statistical evaluations.
DOI: 10.60593/ur.d.31136782
title: "Developmental exposure to a PFAS mixture impairs the anamnestic response to influenza A virus infection in mice": Raw ELISA data.

description: This folder contains excel files with raw ELISA data that is presented in Figure 6 and Figure 7. Each file contains tabs for raw values for IgM and IgG on day 0, day 14, day 70, day 75, and day 77 relative to primary influenza A virus infection. The avidity ELISA files have separate tabs for -GuHCl and + GuHCl raw numbers.
DOI: 10.60593/ur.d.31136782.v1
title: "Developmental exposure to a PFAS mixture impairs the anamnestic response to influenza A virus infection in mice": Raw ELISA data.

description: This folder contains excel files with raw ELISA data that is presented in Figure 6 and Figure 7. Each file contains tabs for raw values for IgM and IgG on day 0, day 14, day 70, day 75, and day 77 relative to primary influenza A virus infection. The avidity ELISA files have separate tabs for -GuHCl and + GuHCl raw numbers.
DOI: 10.15468/dl.77rjh2
title: Occurrence Download

description: A dataset containing 18376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((8.4 44.6, 11.5 44.6, 11.5 46.7, 8.4 46.7, 8.4 44.6))"
 ]
}

 The dataset includes 18376 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003694-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.ksn02v79v
title: Vertebral morphology in the tail-whipping common thresher shark, Alopias vulpinus

description: Thresher sharks (Alopias spp.) are characterized by an elongated,
 scythe-like caudal fin that is used in tail-whipping, a behavior where the
 tail is thrown overhead to stun prey. Tail-whipping is performed via
 extreme dorsoventral bending of the vertebral column and is dramatically
 different from lateral oscillatory motion used for swimming. Previous work
 has examined thresher shark vertebral morphology and mechanical properties
 but in the context of swimming loads. Our goal was to assess centra
 morphometrics and microarchitecture for variations that may support
 extreme dorsoventral bending. We examined anterior and posterior body
 vertebrae from an embryo, 5 juvenile, and 4 adult thresher sharks using
 micro-computed tomography. We used principal component and landmark
 analyses to examine variables influencing vertebral morphology and mineral
 arrangement, respectively. We found that morphology and microstructure
 significantly varied across body regions and ontogeny. We hypothesize that
 anterior body vertebrae increase stability, while posterior body vertebrae
 support the caudal fin. Vertebral size and quantity of mineral structures
 (lamellae and nodes) increased across ontogeny, suggesting vertebrae adapt
 over development to support a larger body and tail. Based on our results,
 we hypothesize that thresher shark vertebrae vary in morphometrics and
 mineralization (amount and arrangement) supporting the mechanical needs
 for tail-whipping.
description: # Vertebral morphology in the tail-whipping common thresher shark, Alopias
 vulpinus Using micro-CT
 scan data, we measured vertebral morphology and quantified microstructure
 in anterior and posterior vertebrae from 10 thresher sharks. ##
 Description of the data and file structure Describe relationships between
 data files, missing data codes, other abbreviations used. Be as
 descriptive as possible. * ID = ID for shark * FL = fork length (cm) *
 ONT= ontogenetic stage (Juvenile or Adult) * SEX= shark sex * VERT=
 vertebra ID * A V P = body region (anterior or posterior) * BR.OS = body
 region and ontogenetic stage category (Anterior.Juvenile, Anterior.Adult,
 Posterior.Juvenile, or Posterior.Adult) * W = centrum width (mm) * W.S =
 centrum width standardized * H = centrum height (mm) * H.S = centrum
 height standardized * L= centrum length (mm) * L.S = centrum length
 standardized * LC = lamellae count average * NC = node count average * NA1
 = dorsal arch angle 1 (degrees) * NA2 = dorsal arch angle 2 (degrees) *
 NAavg = dorsal arch angle average (degrees) * HA1 = ventral arch angle 1
 (degrees) * HA2 = ventral arch angle 2 (degrees) * HAavg = ventral arch
 angle average (degrees) * IA = intermedialia angle (degrees) * DCT =
 double cone angle top (degrees) * DCB = double cone angle bottom (degrees)
 * DCavg = double cone angle average (degrees) * VOL = centrum volume (mm3)
 * VOL.S = volume standardized Link to raw scan data deposited on
 Morphosource:
DOI: 10.5061/dryad.6m905qg5w
title: Data from: facial growth and development trajectories based on 3D images: geometric morphometrics with a deformation perspective

description: Developmental changes of facial shape are commonly investigated through
 geometric morphometrics. A limitation with this approach is the inability
 to investigate patterns of morphological changes at local scale. This
 could be addressed through quantifying the deformation required to deform
 one shape to another. This study aimed to investigate changes in mean,
 rate, and variance of facial shape at local scale using geometric
 morphometrics through deformation perspective. 2112 Europeans 3 to 40
 years-old from the 3D Facial Norms project were included. Shape and rate
 trajectories from partial least-squares regressions revealed that the
 developmentally protrusive nasal bridge was due to local expansion in
 surrounding tissues as opposed to shape changes in nasal bridge per-ser.
 Local expansion of the supraorbital region, in particular the medial part
 in males, resulted in the sloping forehead and deep-situated eyes with
 development. Facial shape variation increased non-linearly with age (p
 &lt; 0.05), with features having larger rate of change becoming more
 developmentally diversified. In summary, our deformation perspective
 facilitates unravelling morphogenetic processes underlying shape changes.
 Our extended analytical scope inspires novel measures worthy of
 consideration while establishing facial growth charts. The analytical
 framework in this study is broadly applicable for analysis of shape
 changes in general.
description: Custom script to calculate Procrustes variance for non-linearly
 modelled shape data.
description: # Facial growth and development trajectories based on 3D images: geometric
 morphometrics with a deformation perspective
 ## Code/Software The
 script calculates morphological disparity for one or more groups of
 specimens and performs tests of statistical significances among groups.
 The script is based on the morphol.disparity function in the geomorph
 package (version 4.0.6). In the morphol.disparity function, shape data can
 only be modelled linearly. This script allows for comparison of
 morphological disparity for non-linearly modelled shape data. Input
 arguments and output from the function are detailed inside the script. An
 example of using this script is provided in Appendix Text 4 of the
 accompanying article. Script Version: Dated July 19, 2023. Software: R
 4.3.1 Loaded package: RRPP 1.4.0
DOI: 10.15468/dl.x4n5nf
title: Occurrence Download

description: A dataset containing 6835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calligonum"
 ]
}

 The dataset includes 6835 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003693-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15097238
title: Dataset for: Methodology for creation of labeled image datasets of entrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy

description: Please click through the Versions in order to access publication specific datasets:

 

Version v2:

Description of the additional dataset

Several files of different magnification levels and resolutions as of µm/pixel have been added for benchmark purposes.

 

Version v1:

Description of the initial dataset

This dataset is created and associated with the publication "Methodology for creation of labeled image datasets ofentrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy" (Available at: https://doi.org/10.1016/j.aei.2025.103500). The dataset contains high-quality RGB-images and their corresponding surface height-data  of various polished concrete specimen captured with Confocal Laser Scanning Microscopy (CLSM) with a magnification of 240x and a resolution of 0,69 µm/pixel. Furthermore, labeled segmentation masks were created with the method described in the associated publication. The masks contain locations of air voids, aggregates and cement paste, and are intended for further development of neural network applications for the characterization of freeze-thaw resistance of concretes. (See f.e. DIN EN 480-11 or ASTM C457)
description: (sub)folder structure

rgb-images: microscopy RGB-image of various concrete types (.png)

height-mappings: corresponding height-mapping, depicting the surface of the RGB-images (.csv)

segmentation-masks: segmentation masks of air voids (pixelvalue: 255), aggregates (pixelvalue: 128) and cement paste (pixelvalue: 0) (.png)

 

Version v2 specific folders:

standard/lower resolution: different resolution levels as of pixel density

120x, 480x: additional magnification levels
DOI: 10.15468/dl.3rgbg2
title: Occurrence Download

description: A dataset containing 53162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NABU|naturgucker",
 "Country is Sweden"
 ]
}

 The dataset includes 53162 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003671-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.8sf7m0cvw
title: R codes and their outputs used for: Evolution of realised niche breadth diversity driven by community dynamics

description: Why many herbivorous insects are host-plant specialists, with
 non-negligible exceptions, is a conundrum of evolutionary biology,
 especially because the host plants are not necessarily optimal larval
 diets. Here, I present a novel model of host-plant preference evolution of
 two insect species. Because habitat preference evolution is contingent
 upon demographic dynamics, I integrate the evolutionary framework with the
 modern coexistence theory. The results show that the two insect species
 can evolve into a habitat specialist and generalist when they experience
 both negative and positive frequency-dependent community dynamics. This
 happens because the joint action of positive and negative frequency
 dependence creates multiple (up to nine) eco-evolutionary equilibria.
 Furthermore, initial condition dependence due to positive frequency
 dependence allows specialization to poor habitats. Thus, evolved habitat
 preferences do not necessarily correlate with the performances. The model
 provides explanations for counterintuitive empirical patterns and
 mechanistic interpretations for phenomenological models of niche breadth
 evolution.
description: Individual based (i.e., stochastic) model of eco-evolutionary
 dynamics. The simulations were run on a 32-cored Win machine. Memory
 capacity of 32 GB will be sufficient.
description: # R code used for: Evolution of realised niche breadth diversity driven by
 community dynamics The R
 simulation codes, output files, and R visualisation codes underlying the
 paper. ## Description of the data and file structure R code (.R) and
 output files (.txt and R objects, which should be both loaded as
 data.frame). See the 00_Read.Me.txt file for more details. ##
 Sharing/Access information NA ## Code/Software Simularions were run using
 R software version 4.3.1 for Windows.
DOI: 10.5061/dryad.bk3j9kdjp
title: Data and R script for: Shoaling behaviour in response to turbidity in three-spined sticklebacks

description: Many fresh and coastal waters are becoming increasingly turbid because of
 human activities, which may disrupt the visually-mediated behaviours of
 aquatic organisms. Shoaling fish typically depend on vision to maintain
 collective behaviour, which has a range of benefits including protection
 from predators, enhanced foraging efficiency, and access to mates.
 Previous studies of the effects of turbidity on shoaling behaviour have
 focussed on changes to nearest neighbour distance and average group-level
 behaviours. Here, we investigated whether and how experimental shoals of
 three-spined sticklebacks (Gasterosteus aculeatus) in clear (&lt;10
 Nephelometric Turbidity Units (NTU)) and turbid (~35 NTU) conditions
 differed in five local-level behaviours of individuals (nearest and
 furthest neighbour distance, heading difference with nearest neighbour,
 bearing angle to nearest neighbour, and swimming speed). These variables
 are important for the emergent group-level properties of shoaling
 behaviour. We found an indirect effect of turbidity on nearest-neighbour
 distances driven by a reduction in swimming speed, and a direct effect of
 turbidity which increased variability in furthest neighbour distances. In
 contrast, the alignment and relative position of individuals was not
 significantly altered in turbid compared to clear conditions. Overall, our
 results suggest that the shoals were usually robust to adverse effects of
 turbidity on collective behaviour, but group cohesion was occasionally
 lost during periods of instability.
description: # Shoaling behaviour in response to turbidity in three-spined sticklebacks
 [https://doi.org/10.5061/dryad.bk3j9kdjp](https://doi.org/10.5061/dryad.bk3j9kdjp) ## Description of the data and file structure Data description available within the data file (See Readme tab in MacGregorloannou\_Data.xlsx) ## Sharing/Access information ## Code/Software Statistical analyses were carried out in R (version 4.3.0, https://www.R-project.org/).
DOI: 10.5281/zenodo.10696968
title: Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020

description: This dataset provides daily lead maps for the Arctic as well as cyclone occurrence information based on a cyclone tracking algorithm (Akperov et al., 2020), which was applied to 6-hourly ERA5 (Hersbach et al., 2020) sea level pressure fields. The data is available on a daily time scale from 2002 to 2020 (leads only available for the months November to April) and has a horizontal resolution of 12.5 km². The purpose of the dataset is to analyze lead formation in the Arctic sea ice in response to cyclone passages. The lead data is based on the ArcLeads product (https://doi.org/10.1594/PANGAEA.955561) derived from MODIS thermal infrared imagery with 1 km² spatial resolution (Reiser et al., 2020).
DOI: 10.5281/zenodo.10696969
title: Combined cyclone and sea-ice lead data for the Arctic for 2002 to 2020

description: This dataset provides daily lead maps for the Arctic as well as cyclone occurrence information based on a cyclone tracking algorithm (Akperov et al., 2020), which was applied to 6-hourly ERA5 (Hersbach et al., 2020) sea level pressure fields. The data is available on a daily time scale from 2002 to 2020 (leads only available for the months November to April) and has a horizontal resolution of 12.5 km². The purpose of the dataset is to analyze lead formation in the Arctic sea ice in response to cyclone passages. The lead data is based on the ArcLeads product (https://doi.org/10.1594/PANGAEA.955561) derived from MODIS thermal infrared imagery with 1 km² spatial resolution (Reiser et al., 2020).
DOI: 10.15468/dl.znycef
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.15903 49.52686,-2.76681 45.64088,1.10387 47.49207,-0.33425 49.74105,-4.15903 49.52686))",
 "TaxonKey is Triops cancriformis"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003696-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thxfzs
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Rhynchophorus ferrugineus"
 ]
}

 The dataset includes 544 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003697-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.