cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ta72f2
title: Occurrence Download

description: A dataset containing 2621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hamelia patens Jacq."
 ]
}

 The dataset includes 2621 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000637-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u1y3af
title: Occurrence Download

description: A dataset containing 125555 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Brazil",
 "Year 2010-2018",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 125555 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002729-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhcwbg
title: Occurrence Download

description: A dataset containing 23254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 23254 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000640-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aub28k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schismatoglottis bifasciata Engl."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103475-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zye6ek
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea ramchaudharyi Ghimire & H.K.Rana"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103476-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwmu6g
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schleinitzia fosbergii Nevling & Niezgoda"
 ]
}

 The dataset includes 44 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103477-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf5gw7
title: Occurrence Download

description: A dataset listing the 1346 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is SANT-Algae"
 ]
}

 The dataset's 1346 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103461-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2bmdd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schismatoglottis bogneri A.Hay"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103479-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atn5dx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea ramosa Lipsch."
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103480-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfqu5u
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schleinitzia insularum (Guill.) Burkart"
 ]
}

 The dataset includes 240 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103481-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gb2k5n
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schismatoglottis brevicuspis Hook.f."
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103482-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/77148
title: Elemental characterization of PM2.5 aerosol samples in Beirut city and source apportionment investigation (Metadata RADIATE TA Proposal 23003187-ST)

description: Proposal title "Elemental characterization of PM2.5 aerosol samples in Beirut city and source apportionment investigation". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, on 21 April 2023. Hands-off mode.

The samples in this proposal concern approximately 250 and were collected from Beirut City using ISAP sampler between 2020 and 2022. The main feature of the sampling campaign was to sample twice a week, on Wednesdays and Sundays. For 24 hours, PM2.5 samples were collected on 47 mm Teflon filters in urban areas

Around 250 airborne PM2.5 samples were collected from Beirut City, Lebanon, using an ISAP sampler between 2020 and 2022. The main feature of the sampling campaign was to sample twice a week, on Wednesdays and Sundays. For 24 hours, the PM2.5 were deposited on 47 mm Teflon filters in urban areas with an air volume of approximately 55 m<sup>3</sup>. The expected air pollution sources that could contribute to the elemental and organic content of PM2.5 can be natural or anthropogenic origin, such as dust storm, fires, transportation vehicles, random burning of waste, diesel generators, etc. These samples were analyzed by PIXE technique using an extracted proton beam of 3.0 MeV (energy on target) to determine their elemental composition. A set of elemental standards and an aerosol reference standard (NIST 2783) were analyzed as well for quality assurance purposes and to check the accuracy of quantitative results.
DOI: 10.15161/oar.it/77149
title: Elemental characterization of PM2.5 aerosol samples in Beirut city and source apportionment investigation (Metadata RADIATE TA Proposal 23003187-ST)

description: Proposal title "Elemental characterization of PM2.5 aerosol samples in Beirut city and source apportionment investigation". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, on 21 April 2023. Hands-off mode.

The samples in this proposal concern approximately 250 and were collected from Beirut City using ISAP sampler between 2020 and 2022. The main feature of the sampling campaign was to sample twice a week, on Wednesdays and Sundays. For 24 hours, PM2.5 samples were collected on 47 mm Teflon filters in urban areas

Around 250 airborne PM2.5 samples were collected from Beirut City, Lebanon, using an ISAP sampler between 2020 and 2022. The main feature of the sampling campaign was to sample twice a week, on Wednesdays and Sundays. For 24 hours, the PM2.5 were deposited on 47 mm Teflon filters in urban areas with an air volume of approximately 55 m<sup>3</sup>. The expected air pollution sources that could contribute to the elemental and organic content of PM2.5 can be natural or anthropogenic origin, such as dust storm, fires, transportation vehicles, random burning of waste, diesel generators, etc. These samples were analyzed by PIXE technique using an extracted proton beam of 3.0 MeV (energy on target) to determine their elemental composition. A set of elemental standards and an aerosol reference standard (NIST 2783) were analyzed as well for quality assurance purposes and to check the accuracy of quantitative results.
DOI: 10.15161/oar.it/77150
title: Elemental characterization of PM2.5 aerosol samples in four Mideastern cities and source apportionment investigation (Metadata RADIATE TA Proposal 21002410-ST)

description: Proposal title "Elemental characterization of PM2.5 aerosol samples in four Mideastern cities and source apportionment investigation". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, from 14 till 21 March 2022. Hands-off mode.

Despite the increasing awareness of environmental problems due to air pollution, there is still a lack of related studies that can cover sufficiently this topic in the eastern Mediterranean countries comparing to western ones.

About 400 samples of fine atmospheric particulate matter (PM2.5) were collected for 24 hours twice a week (in a day in the middle of the week and another in the weekend) from three urban areas in the Middle East region (Doha - Qatar, Baghdad - Iraq and Kuwait City - Kuwait), using a low volume air sampler (2.3 m<sup>3</sup> per hour) and deposited on Teflon filters. The sampling campaign covered the period 2018-2020. These samples were analyzed by PIXE technique to determine for their elemental composition determination (Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Se, Br, Rb, Sr, Y, Pb).
DOI: 10.15468/dl.vz48fg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea ×rara Kitam."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103484-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/77151
title: Elemental characterization of PM2.5 aerosol samples in four Mideastern cities and source apportionment investigation (Metadata RADIATE TA Proposal 21002410-ST)

description: Proposal title "Elemental characterization of PM2.5 aerosol samples in four Mideastern cities and source apportionment investigation". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, from 14 till 21 March 2022. Hands-off mode.

Despite the increasing awareness of environmental problems due to air pollution, there is still a lack of related studies that can cover sufficiently this topic in the eastern Mediterranean countries comparing to western ones.

About 400 samples of fine atmospheric particulate matter (PM2.5) were collected for 24 hours twice a week (in a day in the middle of the week and another in the weekend) from three urban areas in the Middle East region (Doha - Qatar, Baghdad - Iraq and Kuwait City - Kuwait), using a low volume air sampler (2.3 m<sup>3</sup> per hour) and deposited on Teflon filters. The sampling campaign covered the period 2018-2020. These samples were analyzed by PIXE technique to determine for their elemental composition determination (Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Se, Br, Rb, Sr, Y, Pb).
DOI: 10.6084/m9.figshare.5100736
title: Arbutus unedo chorology

description: Distribution map of strawberry tree (<i>Arbutus unedo</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.5100736.v3
title: Arbutus unedo chorology

description: Distribution map of strawberry tree (<i>Arbutus unedo</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.15161/oar.it/77152
title: IBA characterisation and source apportionment of fine and coarse particulate matter in Accra, Ghana (Metadata RADIATE TA Proposal 21002549-ST)

description: Proposal title "IBA characterisation and source apportionment of fine and coarse particulate matter in Accra, Ghana". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, from 6 till 9 June 2022. Hands-off mode.

Accra, the capital city of Ghana with over five million habitants, is still a developing city. Like many cities in developing countries, Accra is faced with environmental challenges such as domestic waste incineration, open e-waste burning, dust from construction activities and some unpaved roads, emissions from industries and vehicular exhaust in congested road traffic. Though there are air quality monitoring activities in Accra, they are mainly limited to air particulate loads assessment.  This is due to lack of adequate tools to carry out chemical compositions that will lead to pollution source identification and apportionment to help policy decision making on environmental issues.

Two size fractions (PM<sub>2.5 </sub>and PM<sub>2.5-10</sub>) of atmospheric aerosol samples were collected on 47 mm diameter nucleopore filters using a Gent Sampler at a flow rate of 1 m<sup>3</sup>/hr. The sampling campaign consisted of 24 hours of continuous sampling on each sampling day between 2014 to 2019.  A total of 600 (300 each of coarse and fine) loaded filters were obtained from three monitoring stations in Accra. These samples were measured by PIXE technique using a proton beam of 3 MeV energy with a few tens nA intensity to determine their elemental composition.

Elemental concentrations of major elements such as Na, Mg, Al, Si, S, Cl, K, Ca, and Fe which are mostly fingerprint elements of soil dust and sea spray stood out for both fractions. The mean concentrations of these elements are relatively higher in the coarse fraction compared to their respective concentrations in the fine fraction. Conversely, fingerprints elements of anthropogenic sources tend to be higher in the fine fraction. Also, S and K show an important contribution in the fine fraction: S is indeed a typical secondary aerosol element while K, besides being a crustal element, is also produced by biomass burning.
DOI: 10.15161/oar.it/77153
title: IBA characterisation and source apportionment of fine and coarse particulate matter in Accra, Ghana (Metadata RADIATE TA Proposal 21002549-ST)

description: Proposal title "IBA characterisation and source apportionment of fine and coarse particulate matter in Accra, Ghana". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, from 6 till 9 June 2022. Hands-off mode.

Accra, the capital city of Ghana with over five million habitants, is still a developing city. Like many cities in developing countries, Accra is faced with environmental challenges such as domestic waste incineration, open e-waste burning, dust from construction activities and some unpaved roads, emissions from industries and vehicular exhaust in congested road traffic. Though there are air quality monitoring activities in Accra, they are mainly limited to air particulate loads assessment.  This is due to lack of adequate tools to carry out chemical compositions that will lead to pollution source identification and apportionment to help policy decision making on environmental issues.

Two size fractions (PM<sub>2.5 </sub>and PM<sub>2.5-10</sub>) of atmospheric aerosol samples were collected on 47 mm diameter nucleopore filters using a Gent Sampler at a flow rate of 1 m<sup>3</sup>/hr. The sampling campaign consisted of 24 hours of continuous sampling on each sampling day between 2014 to 2019.  A total of 600 (300 each of coarse and fine) loaded filters were obtained from three monitoring stations in Accra. These samples were measured by PIXE technique using a proton beam of 3 MeV energy with a few tens nA intensity to determine their elemental composition.

Elemental concentrations of major elements such as Na, Mg, Al, Si, S, Cl, K, Ca, and Fe which are mostly fingerprint elements of soil dust and sea spray stood out for both fractions. The mean concentrations of these elements are relatively higher in the coarse fraction compared to their respective concentrations in the fine fraction. Conversely, fingerprints elements of anthropogenic sources tend to be higher in the fine fraction. Also, S and K show an important contribution in the fine fraction: S is indeed a typical secondary aerosol element while K, besides being a crustal element, is also produced by biomass burning.
DOI: 10.15161/oar.it/77155
title: Variability of dust composition in the tropical North Atlantic - Saharan Air Layer (Metadata RADIATE TA Proposal 22003016-ST)

description: Proposal title "Variability of dust composition in the tropical North Atlantic - Saharan Air Layer". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, on 24 October 2022 and from 5 till 7 December 2022. Hands-off mode.

The objective of the experiment is to study the variability of aerosols and dust composition in tropical Saharan Air Layer, i.e. the dusty airstream that spreads from North Africa, across the tropical North Atlantic to inner North America. Dust is a mixing of tens of minerals, each presenting physical and chemical properties which modulate dust impacts, e.g. feldspars are active ice nuclei, hematite absorb UV radiation, carbonates neutralize acid pollutants, whereas iron bearing clays and oxides provide iron to ecosystems.

In this experiment two types of aerosols samples collected from June to August 2022 in Cape Verde, at 1450 meters altitude in the island of Santo Antão, were analysed: (1) 1200 samples of 1 hour resolution collected with the STRAS (Size and Time Resolved Aerosol Sampler) sampler designed by INFN, and (2) 105 samples of PM10 and PM2.5 collected with a daily basis (10h sampling) on 47 mm teflon and Whatman41 membranes using low volume samplers (Gemini DadoLab). 

The objective is to study the variability of dust composition in the core path of the Saharan Air Layer in the tropical North Atlantic and to identify the source regions and hot spots enriched in key elements. Samples were analysed by PIXE with a 3 MeV proton beam (energy on target) to determine the concentrations of major (Si, Al, Ca, Fe, Na, Cl, K…) and trace elements (Mn, Mg, Sr, S……) of dust.
DOI: 10.15161/oar.it/77154
title: Variability of dust composition in the tropical North Atlantic - Saharan Air Layer (Metadata RADIATE TA Proposal 22003016-ST)

description: Proposal title "Variability of dust composition in the tropical North Atlantic - Saharan Air Layer". Measurements carried out at the external beam set-up for atmospheric aerosol analysis of the INFN LABEC accelerator laboratory, on 24 October 2022 and from 5 till 7 December 2022. Hands-off mode.

The objective of the experiment is to study the variability of aerosols and dust composition in tropical Saharan Air Layer, i.e. the dusty airstream that spreads from North Africa, across the tropical North Atlantic to inner North America. Dust is a mixing of tens of minerals, each presenting physical and chemical properties which modulate dust impacts, e.g. feldspars are active ice nuclei, hematite absorb UV radiation, carbonates neutralize acid pollutants, whereas iron bearing clays and oxides provide iron to ecosystems.

In this experiment two types of aerosols samples collected from June to August 2022 in Cape Verde, at 1450 meters altitude in the island of Santo Antão, were analysed: (1) 1200 samples of 1 hour resolution collected with the STRAS (Size and Time Resolved Aerosol Sampler) sampler designed by INFN, and (2) 105 samples of PM10 and PM2.5 collected with a daily basis (10h sampling) on 47 mm teflon and Whatman41 membranes using low volume samplers (Gemini DadoLab). 

The objective is to study the variability of dust composition in the core path of the Saharan Air Layer in the tropical North Atlantic and to identify the source regions and hot spots enriched in key elements. Samples were analysed by PIXE with a 3 MeV proton beam (energy on target) to determine the concentrations of major (Si, Al, Ca, Fe, Na, Cl, K…) and trace elements (Mn, Mg, Sr, S……) of dust.