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

description: A dataset containing 21780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melaenornis fischeri (Reichenow, 1884)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 21780 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081483-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15676572
title: Spectral unmixing results for seabed areas from Ria de Vigo (Spain) pilot site

description: Metadata Information






Identification





Full Title



Spectral unmixing results for seabed areas from Ria de Vigo (Spain) pilot site





Abstract



Spectral libraries and results for the Mixture Tuned Matched Filtering (MTMF) method in the Ria de Vigo pilot. 

Sediment distribution maps produced by employing spectral unmixing techniques to the UHI data acquired. The distribution maps are produced using internal (S34I) and external (public spectral libraries) endmembers. In the case of internal endmembers, these could be derived from “Hyperspectral data of sediment samples from Ria de Vigo (Spain) pilot site” or “Coastal spectral library of beach sand and rocks from Ria de Vigo (Spain) pilot site”.





Keywords



hyperspectral imaging/classification, sediments, sand, mineral resources, ROV, Mixture Tuned Matched Filtering





Pilot area



Ria de Vigo





Associated resources



https://doi.org/10.5281/zenodo.15737065

https://doi.org/10.5281/zenodo.13462199 





Language



English





URL



 





Categories



Mineral resources





Temporal reference





Creation date (dd.mm.yyyy)



16.02.2024





Revision date (dd.mm.yyyy)



 





Quality and validity





Representation type



 





Fromat



HDF5





Lineage



 





Spatial resolution



2 mm (with UHI about 2 m away)





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use





Use limitation



no





Access constraint



no





Public/Private



Public





Responsible organisation





Responsible Contact



Porto University, Portugal 





Responsible Party



Porto University, Portugal





Metadata on metadata





Contact



joana.fernandes@fc.up.pt, UPORTO





Metadata language



English
DOI: 10.5281/zenodo.15676573
title: Spectral unmixing results for seabed areas from Ria de Vigo (Spain) pilot site

description: Metadata Information






Identification





Full Title



Spectral unmixing results for seabed areas from Ria de Vigo (Spain) pilot site





Abstract



Spectral libraries and results for the Mixture Tuned Matched Filtering (MTMF) method in the Ria de Vigo pilot. 

Sediment distribution maps produced by employing spectral unmixing techniques to the UHI data acquired. The distribution maps are produced using internal (S34I) and external (public spectral libraries) endmembers. In the case of internal endmembers, these could be derived from “Hyperspectral data of sediment samples from Ria de Vigo (Spain) pilot site” or “Coastal spectral library of beach sand and rocks from Ria de Vigo (Spain) pilot site”.





Keywords



hyperspectral imaging/classification, sediments, sand, mineral resources, ROV, Mixture Tuned Matched Filtering





Pilot area



Ria de Vigo





Associated resources



https://doi.org/10.5281/zenodo.15737065

https://doi.org/10.5281/zenodo.13462199 





Language



English





URL



 





Categories



Mineral resources





Temporal reference





Creation date (dd.mm.yyyy)



16.02.2024





Revision date (dd.mm.yyyy)



 





Quality and validity





Representation type



 





Fromat



HDF5





Lineage



 





Spatial resolution



2 mm (with UHI about 2 m away)





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use





Use limitation



no





Access constraint



no





Public/Private



Public





Responsible organisation





Responsible Contact



Porto University, Portugal 





Responsible Party



Porto University, Portugal





Metadata on metadata





Contact



joana.fernandes@fc.up.pt, UPORTO





Metadata language



English
DOI: 10.15468/dl.rs3m2x
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gynoxys caracensis Muschl."
 ]
}

 The dataset includes 127 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081484-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bzqy5
title: Occurrence Download

description: A dataset containing 438224 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Bird Survey: Fixed routes (Standardrutterna)"
 ]
}

 The dataset includes 438224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081474-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kranru
title: Occurrence Download

description: A dataset containing 1504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Mississippi, MIssissippi)",
 "TaxonKey is one of (Paspalum setaceum Michx., Croton michauxii G.L.Webster, Croton michaelii V.W.Steinm., Diodia teres Walter, Dichanthelium commutatum (Schult.) Gould, Pinus palustris Mill.)"
 ]
}

 The dataset includes 1504 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081486-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hmtwp
title: Occurrence Download

description: A dataset containing 23958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.28_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 23958 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081485-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15683882
title: Multi-scale, multi-platform structural lineament maps - S34I Project

description: Metadata Information






Identification





Full Title



Multi-scale, multi-platform structural lineament maps from Ria de Vigo (Spain) pilot site





Abstract



Multi-scale, multi-platform structural lineament maps from Ria de Vigo (Spain) pilot site





Keywords



 edge detection, lineament extraction, structural geology, SAR, LiDAR





Pilot area



Ria de Vigo, Aramo





Associated resources



 





Language



English





URL



 





Categories



Mineral resources





Temporal reference





Creation date (dd.mm.yyyy)



14.04.2024





Revision date (dd.mm.yyyy)



 27.06.2025





Quality and validity





Representation type



 





Fromat



Vector





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



EPSG: 4326 - WGS 84





Constranits related to access and use





Use limitation



no





Access constraint



no





Public/Private



Public





Responsible organisation





Responsible Contact



Universidade do Porto





Responsible Party



Universidade do Porto





Metadata on metadata





Contact



Universidade do Porto





Metadata language



English
DOI: 10.5281/zenodo.15683883
title: Multi-scale, multi-platform structural lineament maps - S34I Project

description: Metadata Information






Identification





Full Title



Multi-scale, multi-platform structural lineament maps from Ria de Vigo (Spain) pilot site





Abstract



Multi-scale, multi-platform structural lineament maps from Ria de Vigo (Spain) pilot site





Keywords



 edge detection, lineament extraction, structural geology, SAR, LiDAR





Pilot area



Ria de Vigo, Aramo





Associated resources



 





Language



English





URL



 





Categories



Mineral resources





Temporal reference





Creation date (dd.mm.yyyy)



14.04.2024





Revision date (dd.mm.yyyy)



 27.06.2025





Quality and validity





Representation type



 





Fromat



Vector





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



EPSG: 4326 - WGS 84





Constranits related to access and use





Use limitation



no





Access constraint



no





Public/Private



Public





Responsible organisation





Responsible Contact



Universidade do Porto





Responsible Party



Universidade do Porto





Metadata on metadata





Contact



Universidade do Porto





Metadata language



English
DOI: 10.15468/dl.wrxgwe
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola arvensis Murray",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081487-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umj62e
title: Occurrence Download

description: A dataset containing 1754693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1754693 records from 646 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081459-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/n4zgxw
title: Field Museum of Natural History (Zoology) Mammal Collection

description: The mammal collections at The Field Museum were founded in 1893, in the wake of the World Columbian Exposition in Chicago, and have grown into one of the world's premier resources for the study of mammalian evolution. Over its history the collection has had the names Field Columbian Museum, Field Museum of Natural History, Chicago Natural History Museum, and again Field Museum of Natural History. Collections of Recent mammals number more than 236,000 specimens and 550 primary types. Each category ranks it among the largest mammal collections in the world. Although the collections are unique, encyclopedic, and worldwide in scope, those from the Philippines, Peru, Chile, Madagascar, Tanzania, Egypt, and Iran are among the world's very best.
DOI: 10.5281/zenodo.15776229
title: DS3 Intra-campus and Inter-campus FSO links characterization campaign for polarization-encoded QKD_ LAIQA_WP8_V1.0

description: The provided dataset includes power monitoring data collected over a 0.5 km free-space optical (FSO) link established to evaluate atmospheric turbulence effects on signal stability and link performance.

The 0.5 km Free-Space Optical (FSO) link was deployed between the rooftops of the New and Old Buildings of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), ensuring a clear line-of-sight. The experimental campaign took place on July 4th, 2024, within the NTUA campus (37.97° N, 23.78° E). Data collection occurred during two distinct monitoring periods capturing a range of irradiance fluctuations, thermal gradients, and other mechanical instabilities that may influence optical signal quality.:



Nighttime session: 00:06 a.m. to 00:31 a.m.

Daylight session: 11:16 a.m. to 11:28 a.m.


The dataset includes power level variability due to scintillation, beam wander, and potential misalignment events considering that no stabilization techniques, e.g., beam steering, were used during the operation of the link.

Note: The READ_ME file includes a brief guide of the method used for the FSO power monitoring data processing along with some demonstrative results after the truncation of the provided raw data (i.e., Day_500m.rar, and Night_500m.rar) in time windows of 50 seconds as given in folders Day_500m_50sec_time_window.rar and Night_500m_50sec_time_window.rar, respectively.
DOI: 10.5281/zenodo.15776230
title: DS3 Intra-campus and Inter-campus FSO links characterization campaign for polarization-encoded QKD_ LAIQA_WP8_V1.0

description: The provided dataset includes power monitoring data collected over a 0.5 km free-space optical (FSO) link established to evaluate atmospheric turbulence effects on signal stability and link performance.

The 0.5 km Free-Space Optical (FSO) link was deployed between the rooftops of the New and Old Buildings of the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), ensuring a clear line-of-sight. The experimental campaign took place on July 4th, 2024, within the NTUA campus (37.97° N, 23.78° E). Data collection occurred during two distinct monitoring periods capturing a range of irradiance fluctuations, thermal gradients, and other mechanical instabilities that may influence optical signal quality.:



Nighttime session: 00:06 a.m. to 00:31 a.m.

Daylight session: 11:16 a.m. to 11:28 a.m.


The dataset includes power level variability due to scintillation, beam wander, and potential misalignment events considering that no stabilization techniques, e.g., beam steering, were used during the operation of the link.

Note: The READ_ME file includes a brief guide of the method used for the FSO power monitoring data processing along with some demonstrative results after the truncation of the provided raw data (i.e., Day_500m.rar, and Night_500m.rar) in time windows of 50 seconds as given in folders Day_500m_50sec_time_window.rar and Night_500m_50sec_time_window.rar, respectively.
DOI: 10.15468/dl.6qm7a4
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phellodon fuligineoalbus (J.C.Schmidt) R.E.Baird",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 943 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081489-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8r8nd
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola odorata L.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 119 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081490-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sdx73
title: Occurrence Download

description: A dataset containing 1932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola odorata L.",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1932 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081492-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.343j7b
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola odorata L.",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081491-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyks45
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prioria copaifera Griseb."
 ]
}

 The dataset includes 756 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081493-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azxvs6
title: Occurrence Download

description: A dataset containing 2185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola odorata L.",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2185 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081495-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15776121
title: Spectral Signature of Aramo site

description: The entry Spectral Signature of Aramo from USAL team consists of 9 files corresponding to spectral signatures (SS) of outcropping rocks and soils on Aramo Plateau. The files (in .*asd and -*csv formats) are means of Visible, Near Infrared and Short Wavelength Infrared (VNIR-SWIR) spectra resulting from the supervised classification performed by using geochemical data (supplied by Aurum partner) and spectral and mineralogical information processed from “VNIR-SWIR and XRD datasets”.

For this classification, geochemical analyses of 998 samples were considered. Spectral information of from 311 samples of outcropping rocks, 371 samples of soils, and 208 samples from the mine were also used. More than 200 samples were analysed by means of XRD in order to determine the mineralogical composition and to identify mineralogical associations. With all these data the identification of spectral signatures has been performed.

Nine mineralogical associations (MA) were identified. The main minerals in outcropping rocks consist of different types of carbonate minerals (calcite and dolomite) together with quartz, clays minerals, malachite, and gibbsite. However, soils mainly consist of clay minerals (interstratified chlorite-smectite and illite), quartz, and occasionally talc or gibbsite.

Spectra of samples with similar mineralogical associations have similar morphologies, band positions, intensities and global reflectance in the studied region. A mean spectrum was obtained for each group of samples corresponding to a mineralogical association. Since mineralogical associations and spectral signatures of clusters O3 and O4 cannot be distinguished one from each other, they can be used as a single one. 

Something similar occurs with two mineralogical associations in soils (S1 and S2) because the presence of talc cannot be identified from the spectra, even from their second derivative curves. 

Therefore, 11 mineralogical associations were identified, thus 9 spectral signatures (SS) could be defined: 7 from outcropping rocks and another 2 from soils.








 Outcropping rocks



MA



Minerals



SS





O1



>90 % Calcite



SSO1





O2



>90 % Dolomite



SSO2





O3



Calcite > Dolomite



SSO3-4





O4



Dolomite > Calcite





O5



Calcite > Clay Minerals



SSO5





O6



Calcite > Malachite



SSO6





O7



>90 % Quartz (± goethite)



SSO7





O8



> 90 % Gibbsite



SSO8





Soils



S1



Chlorite/vermic +illite +Q



SSS1-2





S2



  Chlorite/vermic +illite +Q + talc





S3



  Chlorite/vermic +illite +Q + gibbsite



SSS3
DOI: 10.5281/zenodo.15776120
title: Spectral Signature of Aramo site

description: The entry Spectral Signature of Aramo from USAL team consists of 9 files corresponding to spectral signatures (SS) of outcropping rocks and soils on Aramo Plateau. The files (in .*asd and -*csv formats) are means of Visible, Near Infrared and Short Wavelength Infrared (VNIR-SWIR) spectra resulting from the supervised classification performed by using geochemical data (supplied by Aurum partner) and spectral and mineralogical information processed from “VNIR-SWIR and XRD datasets”.

For this classification, geochemical analyses of 998 samples were considered. Spectral information of from 311 samples of outcropping rocks, 371 samples of soils, and 208 samples from the mine were also used. More than 200 samples were analysed by means of XRD in order to determine the mineralogical composition and to identify mineralogical associations. With all these data the identification of spectral signatures has been performed.

Nine mineralogical associations (MA) were identified. The main minerals in outcropping rocks consist of different types of carbonate minerals (calcite and dolomite) together with quartz, clays minerals, malachite, and gibbsite. However, soils mainly consist of clay minerals (interstratified chlorite-smectite and illite), quartz, and occasionally talc or gibbsite.

Spectra of samples with similar mineralogical associations have similar morphologies, band positions, intensities and global reflectance in the studied region. A mean spectrum was obtained for each group of samples corresponding to a mineralogical association. Since mineralogical associations and spectral signatures of clusters O3 and O4 cannot be distinguished one from each other, they can be used as a single one. 

Something similar occurs with two mineralogical associations in soils (S1 and S2) because the presence of talc cannot be identified from the spectra, even from their second derivative curves. 

Therefore, 11 mineralogical associations were identified, thus 9 spectral signatures (SS) could be defined: 7 from outcropping rocks and another 2 from soils.








 Outcropping rocks



MA



Minerals



SS





O1



>90 % Calcite



SSO1





O2



>90 % Dolomite



SSO2





O3



Calcite > Dolomite



SSO3-4





O4



Dolomite > Calcite





O5



Calcite > Clay Minerals



SSO5





O6



Calcite > Malachite



SSO6





O7



>90 % Quartz (± goethite)



SSO7





O8



> 90 % Gibbsite



SSO8





Soils



S1



Chlorite/vermic +illite +Q



SSS1-2





S2



  Chlorite/vermic +illite +Q + talc





S3



  Chlorite/vermic +illite +Q + gibbsite



SSS3
DOI: 10.15468/dl.jgzxym
title: Occurrence Download

description: A dataset containing 1056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Avicennia alba Blume"
 ]
}

 The dataset includes 1056 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081496-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.