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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Geometry POLYGON ((-120.0916 36.057, -120.0913 36.05729, -120.091 36.05759, -120.0908 36.0579, -120.0905 36.05822, -120.0903 36.05855, -120.0901 36.05889, -120.0899 36.05924, -120.0898 36.05959, -120.0896 36.05995, -120.0895 36.06032, -120.0894 36.06069, -120.0894 36.06106, -120.0893 36.06143, -120.0893 36.06181, -120.0893 36.06218, -120.0894 36.06256, -120.0894 36.06293, -120.0895 36.0633, -120.0896 36.06367, -120.0897 36.06403, -120.0899 36.06438, -120.0901 36.06473, -120.0903 36.06507, -120.0905 36.0654, -120.0907 36.06572, -120.091 36.06604, -120.0913 36.06634, -120.0915 36.06663, -120.0919 36.0669, -120.0922 36.06716, -120.0925 36.06741, -120.0929 36.06765, -120.0933 36.06786, -120.0937 36.06806, -120.0941 36.06825, -120.0984 36.07012, -120.0989 36.07029, -120.0993 36.07044, -120.0997 36.07058, -120.1002 36.07069, -120.1007 36.07079, -120.1011 36.07086, -120.1016 36.07092, -120.1021 36.07095, -120.1026 36.07097, -120.103 36.07096, -120.1035 36.07093, -120.104 36.07088, -120.1045 36.07082, -120.1049 36.07073, -120.1054 36.07062, -120.1058 36.07049, -120.1063 36.07035, -120.1067 36.07018, -120.1071 36.07, -120.1075 36.0698, -120.1079 36.06958, -120.1083 36.06934, -120.1087 36.06909, -120.109 36.06883, -120.1093 36.06855, -120.1114 36.06666, -120.1117 36.06638, -120.112 36.06607, -120.1123 36.06576, -120.1125 36.06544, -120.1127 36.0651, -120.1129 36.06476, -120.1131 36.06441, -120.1133 36.06405, -120.1134 36.06369, -120.1135 36.06332, -120.1136 36.06295, -120.1137 36.06257, -120.1137 36.0622, -120.1137 36.06182, -120.1137 36.06144, -120.1137 36.06106, -120.1136 36.06069, -120.1135 36.06031, -120.1134 36.05994, -120.1133 36.05958, -120.1131 36.05922, -120.1129 36.05887, -120.1127 36.05853, -120.1125 36.0582, -120.1123 36.05788, -120.112 36.05756, -120.1117 36.05726, -120.1114 36.05697, -120.1111 36.0567, -120.1108 36.05644, -120.1074 36.05396, -120.107 36.05372, -120.1066 36.05348, -120.1063 36.05326, -120.1058 36.05306, -120.1054 36.05288, -120.105 36.05272, -120.1046 36.05257, -120.1041 36.05244, -120.1037 36.05233, -120.1032 36.05225, -120.1027 36.05218, -120.1023 36.05213, -120.1018 36.0521, -120.1013 36.05209, -120.1009 36.0521, -120.1004 36.05213, -120.0999 36.05218, -120.0995 36.05225, -120.099 36.05234, -120.0985 36.05245, -120.0981 36.05258, -120.0977 36.05273, -120.0972 36.05289, -120.0968 36.05307, -120.0964 36.05328, -120.096 36.05349, -120.0957 36.05373, -120.0953 36.05398, -120.095 36.05424, -120.0919 36.05673, -120.0916 36.057))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020813-251120083545085/datasets/export for details.
DOI: 10.3535/snm-l7y-jfv
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v57-wrk-mdc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vtj-q8d-w9f
title: Cornulites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z3a-er1-g1j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gz2-wkz-qxr
title: Cornulites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qqn-xn0-yh6
title: Cornulites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/m1c-tca-gv7
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t0d-cye-a0l
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nf4-a0k-r9c
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2nq-8xl-93e
title: Cornulites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/68s-82z-gz6
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/048-dhf-5e7
title: Cornulites

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hfk-a6r-6d0
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.vhm65a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stipa tenacissima",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020814-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/asf-g8t-cbh
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zht-vxc-7te
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.5wx4fx
title: Occurrence Download

description: A dataset containing 966 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erodium daucoides"
 ]
}

 The dataset includes 966 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020815-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/wcmjwv
title: PAN-00155282 - terra sigillata bowl type Drag. 37 (C-EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00155282&lt;/p&gt;
description: Modified: 2025-04-26T11:05:20+02:00
DOI: 10.5281/zenodo.17780144
title: Manually Labelled Sea Ice Masks for Sentinel-1 SAR Imagery in the Canadian Arctic (2022–2023)

description: 1. Overview

This dataset contains manually labelled sea-ice masks for a set of Sentinel-1 Extra-Wide (EW) swath scenes acquired in the Canadian Arctic during 2022–2023.Labels were produced for use in sea-ice segmentation experiments comparing supervised UNet models, a BYOL-pretrained UNet, Random Forest classification, and the Segment Anything Model (SAM).

The masks provide pixel-level classification of:





2 = Sea ice




3 = Land



These labels can be used directly for training and validation of machine-learning models, or as a reference dataset for benchmarking segmentation methods and lead-detection approaches.

2. Source Imagery

The labels correspond to Sentinel-1 SAR scenes (HH and HV, EW mode) processed through ESA SNAP.Raw satellite images are not included here due to ESA licensing restrictions.

They can be downloaded from:

Copernicus Browserhttps://browser.dataspace.copernicus.eu/

Each mask is named according to the corresponding Sentinel-1 SAFE product.

3. Preprocessing (Summary)

All SAR scenes were processed in ESA SNAP and exported as terrain-corrected, georeferenced GeoTIFFs.The pixel spacing is approximately 80 m, consistent with EW mode multilooking and terrain correction.

4. Labelling Procedure

Labels were digitised manually in QGIS using processed HH + HV composites as visual guidance.





Digitisation performed per scene.




Visual interpretation based on SAR backscatter texture, tone, and contextual patterns.




Land pixels were labelled explicitly as 3.




Output resolution matches the SAR grid (∼80 m).



5. File Contents

Each labelled scene is provided as:

Sentinel_1_file_name_labels.tif

A GeoTIFF containing:





2 = Sea ice




3 = Land



All files include georeferencing information and match the spatial extent and resolution of the corresponding Sentinel-1 scene.

6. Coordinate Reference System

All masks use the Arctic polar stereographic projection:





EPSG:3995




Datum: WGS84




Units: metres




Pixel size: ~80 × 80 m



7. Usage Notes





The dataset is suitable for semantic segmentation, active learning, lead detection, and self-supervised SAR benchmarking.




If any scene contains NoData areas (e.g., sensor padding or terrain-correction gaps), these are encoded as -9999 and should be excluded in training pipelines.




Sea ice is consistently labelled as 2, enabling straightforward class-mapping across experiments.



8. Citation

If you use this dataset, please cite the Zenodo DOI and the associated research article (when available):



Seston, J., Harcourt, W.D., Leontidis, G., Rea, B., Spagnolo, M., & McWhinnie, L. (2025).Manually Labelled Sea Ice Masks for Sentinel-1 SAR Imagery in the Canadian Arctic (2022–2023).Zenodo.


 

9. Contact

For questions about the dataset or related research:

Jacob SestonSchool of Geosciences, University of AberdeenEmail: j.seston.23@abdn.ac.uk
DOI: 10.5281/zenodo.17780145
title: Manually Labelled Sea Ice Masks for Sentinel-1 SAR Imagery in the Canadian Arctic (2022–2023)

description: 1. Overview

This dataset contains manually labelled sea-ice masks for a set of Sentinel-1 Extra-Wide (EW) swath scenes acquired in the Canadian Arctic during 2022–2023.Labels were produced for use in sea-ice segmentation experiments comparing supervised UNet models, a BYOL-pretrained UNet, Random Forest classification, and the Segment Anything Model (SAM).

The masks provide pixel-level classification of:





2 = Sea ice




3 = Land



These labels can be used directly for training and validation of machine-learning models, or as a reference dataset for benchmarking segmentation methods and lead-detection approaches.

2. Source Imagery

The labels correspond to Sentinel-1 SAR scenes (HH and HV, EW mode) processed through ESA SNAP.Raw satellite images are not included here due to ESA licensing restrictions.

They can be downloaded from:

Copernicus Browserhttps://browser.dataspace.copernicus.eu/

Each mask is named according to the corresponding Sentinel-1 SAFE product.

3. Preprocessing (Summary)

All SAR scenes were processed in ESA SNAP and exported as terrain-corrected, georeferenced GeoTIFFs.The pixel spacing is approximately 80 m, consistent with EW mode multilooking and terrain correction.

4. Labelling Procedure

Labels were digitised manually in QGIS using processed HH + HV composites as visual guidance.





Digitisation performed per scene.




Visual interpretation based on SAR backscatter texture, tone, and contextual patterns.




Land pixels were labelled explicitly as 3.




Output resolution matches the SAR grid (∼80 m).



5. File Contents

Each labelled scene is provided as:

Sentinel_1_file_name_labels.tif

A GeoTIFF containing:





2 = Sea ice




3 = Land



All files include georeferencing information and match the spatial extent and resolution of the corresponding Sentinel-1 scene.

6. Coordinate Reference System

All masks use the Arctic polar stereographic projection:





EPSG:3995




Datum: WGS84




Units: metres




Pixel size: ~80 × 80 m



7. Usage Notes





The dataset is suitable for semantic segmentation, active learning, lead detection, and self-supervised SAR benchmarking.




If any scene contains NoData areas (e.g., sensor padding or terrain-correction gaps), these are encoded as -9999 and should be excluded in training pipelines.




Sea ice is consistently labelled as 2, enabling straightforward class-mapping across experiments.



8. Citation

If you use this dataset, please cite the Zenodo DOI and the associated research article (when available):



Seston, J., Harcourt, W.D., Leontidis, G., Rea, B., Spagnolo, M., & McWhinnie, L. (2025).Manually Labelled Sea Ice Masks for Sentinel-1 SAR Imagery in the Canadian Arctic (2022–2023).Zenodo.


 

9. Contact

For questions about the dataset or related research:

Jacob SestonSchool of Geosciences, University of AberdeenEmail: j.seston.23@abdn.ac.uk
DOI: 10.15468/dl.m5rmqu
title: Occurrence Download

description: A dataset containing 976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudorca crassidens",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "DecimalLatitude is greater than or equal to 23.663556",
 "DecimalLatitude is less than or equal to 49.847327",
 "DecimalLongitude is greater than or equal to -32.92535",
 "DecimalLongitude is less than or equal to -0.096382",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 976 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020816-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/qsmb-mk17
title: Raman spectra of CPMH and CPMD

description: These data contains Raman spectra of CPMH and CPMD. Raman scattering was measured with a RenishawmicroRaman spectrometer (785 nm). Sample abbreviations (CPMH, CPMD) are in agreement with the markings used in the linked publication.
DOI: 10.34808/4wya-z425
title: SoundShape - Headphone Transfer Function database

description: This publication introduces the SoundShape database, which contains closed-ear headphone transfer functions (HpTF) for fifteen headphone models. Several models included in this database are also found in other well-known databases, such as Virtuoso and Binaural Decoders. However, for some models found in the literature, HpTF filters were unavailable, so new measurements were conducted. The publication details the various stages of SoundShape’s implementation, including project assumptions, hardware and software used, and the measurement environment. Specifications for the microphones and the head and torso simulator are provided. Additionally, the script used in Pure Data is documented. The measurement process is explained through a schematic diagram and an algorithm description, and the construction and processing of signal files within SoundShape are discussed. The freely available ‘AKtools’ script in MATLAB was employed to derive the HpTF functions. Moreover, the publication includes detailed analyses of selected phonic signal samples from the database, highlighting similarities and differences among the three headphone models tested. The paper concludes with a summary of the results, including recommendations on how the database can be utilized.
DOI: 10.34808/by3s-nx35
title: Oat-husk biochar: charteristics and sorption experiment

description: Biochar from oat husks. Characteristics of biochar and results of ammonium sorption experiment.
DOI: 10.34808/jgv6-dz33
title: Pollen and charcoal data inffered from Lake Gorzyńskie, western Poland

description: The presented dtaset originates from pollen and macroscopic charcoal analyses of the sediment sequence from Lake Gorzyńskie in western Poland. The 10.45 m-long core spans roughly the last 13,250 years, covering both the Late Glacial and the Holocene. It includes pollen percentages and macroscopic charcoal sums and concentrations, providing information on past vegetation dynamics and fire activity. This dataset enables a detailed reconstruction of fire history and its drivers, offering insights into the interactions between climate variability, human activity, and vegetation change throughout successive cultural and environmental phases in the Polish Lowlands.
DOI: 10.34808/2myd-0m77
title: The results of the nitrogen adsorption/desorption measurements of CPMD and CPMH

description: The results of the nitrogen adsorption/desorption measurements of CPMD and CPMH. The adsorption/desorption isothermswere carried out at 77 K using a Quantachrome Autosorb-1C-MS instrument. Sample abbreviations (CPMD, CPMH) are in agreement with the markings used in the linked publication.
DOI: 10.34808/p173-5012
title: XPS (X-ray photoelectron spectroscopy) survey spectra of CPMD and CPMH

description: XPS (X-ray photoelectron spectroscopy) survey spectra of CPMD and CPMH. XPS spectra were obtained using Al Kɑ (hv=1486.6 eV) radiation with a Prevac system equipped with a Scienta SES 2002 electron energy analyzer operating at constant transmission energy (Ep=50 eV). Sample abbreviations (CPMD, CPMH) are in agreement with the markings used in the linked publication.
DOI: 10.34808/semy-aq37
title: XRD, DTA and luminescence measurements of B2O3-Bi2O3-AlF3 glasses doped with Eu3+, Tb3+ and Tm3+ ions

description: The DataSet contains the  XRD,DTA and luminescence measurements for the B2O3-Bi2O3-AlF3 glass system. Samples were prepared by the conventional melt quenching technique. Starting materials were melted in porcelain crucibles at 950 oC for 20 min. XRD and DTA data were collected for 50B2O3-50Bi2O3,45B2O3-45Bi2O3+10AlF3 and 40B2O3-40Bi2O3+20AlF3 glasses. Luminescence spectra were obtained for 45B2O3-45Bi2O3+10AlF3 glass doped with Eu3+, Tb3+ and Tm3+ ions in different molar ratios (1:0.5Eu/0.5Tb/1Tm; 2: 0.7Eu/0.5Tb/0.8Tm; 3: 0.05Eu/0.95Tb/1Tm).
DOI: 10.34808/e12h-p353
title: Evaluation of the electrochemical performance of CPMD in ZICs with 3M ZnSO4 electrolyte

description: These data contain the results of the electrochemical performance measurements of CPMD in ZICs with 3M ZnSO4 electrolyte, incl. CGD (galvanostatic charge-discharge ) curve and cycling stability of CPMD. Sample abbreviations (CPMD) are in agreement with the markings used in the linked publication.
DOI: 10.34808/qw13-8q15
title: Continuum orbitals in low energy scattering of electrons from strontium atom

description: The dataset includes relativistic continuum electron wave functions (continuum orbitals, continuum spinors) for elastic scattering of electrons from strontium (Sr) atom, calculated using the Multiconfiguration Dirac-Hartree-Fock method (MCDHF), at low electron energies (10 - 0.000001 eV), for several partial waves (s,p,d and f-wave). Bound states have been calculated using the GRASP2018 code in an ab initio manner, taking into account electronic correlations (by single and double virtual excitations from ground configuration to the set of virtual orbitals). Then, continuum orbitals were generated using the code GRASPC (GRASP package adapted for the generation of continuum orbitals wave functions). Direct and exchange potentials have been included explicitly, while polarization potential in the semi-empirical form with two free parameters: dipole polarizability (taken from literature), and a cutoff value (calculated with GRASP2018). The resulting wave functions are not normalized. For each orbital, the corresponding scattering phase shift is also calculated. Polarization potential parameters for continuum orbitals generation (in a.u.):

dipole polarizability alpha_d = 197.2
&lt;cutoff^3&gt; = 119.3833514655
 The dataset is provided as one ZIP archive. Inside the archive, text files with continuum orbitals are grouped in separate directories for each electron energy. File names in the directories include quantum number kappa, e.g. file "continuum_2.csp" in the "0.001eV" directory is the continuum orbital for electron energy 0.001eV and quantum number kappa = 2 (d-wave). Each .csp (continuum spinor) file contains:

Header with file description
Electron energy in a.u.
Quantum number kappa
Calculated phase shift from the undisturbed wave function
Several consecutive lines containing r, large component P(r), small component Q(r) of the continuum spinor
 Example file preview (first 10 lines):
 # Continuum orbital wave function calculated by GRASPC # # Energy (hartree)  =    3.6749322175660001E-005 # kappa             =            2 # Phase shift       =   -3.1412790000288751      # # r                         P(r)                      Q(r)   0.0000000000000000        0.0000000000000000        0.0000000000000000        2.6984787562181036E-009   3.0524823448176730E-030   5.0203102704387716E-025   5.5353114767713039E-009   2.6346449609148442E-029   2.1124025341594733E-024 References:

GRASPC – GRASP package adapted for the generation of continuum orbitals wave functions
GRASP2018—A Fortran 95 version of the General Relativistic Atomic Structure Package
DOI: 10.34808/wqxn-8z65
title: Displacements of bones during bending test of first metatarsophalangeal joint after arthrodesis with medially or dorsally positioned locking plate and lag screw.

description: The Dataset contains the values of displacements of bone control points  during the bending test of first metatarsophalangeal (MTP1) joint specimens after arthrodesis.
Three groups of samples were created depending on the MTP1 arthrodesis method:
-   group with medially positioned locking plate, samples P01-P02, P04-P07, P22;-   group with dorsally positioned locking plate and lag screw, samples P08-P14;-   group with medially positioned locking plate and lag screw, samples P15-P21.The same short titanium locking plate (Medgal) and six 2.4 mm locking screws were used in all groups. The artificial models of metatarsal bone and proximal phalanx were created based on freely accessible STL geometry of the human foot (https://www.thingiverse.com/thing:22628). The geometry was scaled and cut to prepare bones for arthrodesis and fixation in dedicated steel jigs. The artificial bone models were additively manufactured with the fused filament fabrication (FFF) method using polylactide (PLA) material in Ultimaker 3 Extended 3D printer. The bending test of total 21 samples was performed in a Zwick/Roell Z10 universal testing machine (UTM).  The shaft of the metatarsal bone was clamped in stainless steel jig, while the“distal” end of the proximal phalanx was fixed in stainless steel clamp, which was connected to a traverse of UTM. A preload of 1 N and constant vertical displacement increment of 5 mm/min of the traverse were applied in the tests to simulate quasi static loading conditions. The tests were stopped after specimens failure. Digital image correlation (DIC) method and ARAMIS MC 3D 12M system were used to measure displacements at three control points P1, P2 and P3, see Figure.  The displacements between points P1 and P2 allow to calculate the relative displacements between the bones. The  file has (.txt) extension and contains: 
 - the time of the test (in s, 1nd column);- displacement in X direction of point P1 (in mm, 2nd column), P2 (in mm, 3rd column), P3 (in mm, 4rd column);- displacement in Y direction of point P1 (in mm, 5th column), P2 (in mm, 6th column), P3 (in mm, 7th column);- displacement in Z direction of point P1 (in mm, 8th column), P2 (in mm, 9th column), P3 (in mm, 10th column);- force (in N, 11th column).
DOI: 10.34808/jj3t-r803
title: SEM (scanning electron microscopy) and TEM (transmission electron microscopy) images of PMD and PMH

description: These data contains SEM (scanning electron microscopy) and TEM (transmission electron microscopy) images of PMD and PMH. TEM was performed on a FEI Tecnai F30 transmission electron microscope operating at an acceleration voltage of 200 kV. SEM was done with a SEM, XL30ESEM-FEG with an acceleration voltage of 20 KV. Sample abbreviations (PMH, PMD) are in agreement with the markings used in the linked publication.