cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/1qbh-8157
title: CNTA6 pollen surface sample dataset

description: Raw data for the CNTA6 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.8043347
title: Medieval sites in the hinterland of Ravenna

description: Database with 639 site attestations coming from edited medieval written sources [1] and published site catalogues [2], together with related metadata and bibliography.

[1] Gaddoni & Zaccherini, 1912; Mascanzoni, 1985, 2010; Benericetti, 1999, 2002a, 2002b, 2003, 2005, 2006a, 2007, 2009, 2010, 2011, 2019a, 2019b.

[2] Mancini & Vichi, 1959; Montevecchi, 1970, 1971, 1972; Merlini, 1982; Augenti, Ficara, & Ravaioli, 2012; Ravaioli, 2015.
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.5281/zenodo.8043348
title: Medieval sites in the hinterland of Ravenna

description: Database with 639 site attestations coming from edited medieval written sources [1] and published site catalogues [2], together with related metadata and bibliography.

[1] Gaddoni & Zaccherini, 1912; Mascanzoni, 1985, 2010; Benericetti, 1999, 2002a, 2002b, 2003, 2005, 2006a, 2007, 2009, 2010, 2011, 2019a, 2019b.

[2] Mancini & Vichi, 1959; Montevecchi, 1970, 1971, 1972; Merlini, 1982; Augenti, Ficara, & Ravaioli, 2012; Ravaioli, 2015.
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.21233/n835-kp64
title: Stuart Lake water chemistry dataset

description: Raw data for the Stuart Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29038580
title: Base de datos

description: Dataset
DOI: 10.34740/kaggle/dsv/11781707
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.21233/x7jg-9863
title: Wolverine Lake water chemistry dataset

description: Raw data for the Wolverine Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6j9w-7r60
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7jb7-2t73
title: LDDsite4522 ostracode surface sample dataset

description: Raw data for the LDDsite4522 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.p57e8z
title: Occurrence Download

description: A dataset containing 2905 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laephotis capensis (A.Smith, 1829)"
 ]
}

 The dataset includes 2905 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026215-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/b62t-vg05
title: Berezovskoye mire pollen dataset

description: Raw data for the Berezovskoye mire pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6kqg-1p26
title: Gowen 2 [FaNq-32] vertebrate fauna dataset

description: Raw data for the Gowen 2 [FaNq-32] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15355650
title: Dataset for the artificial neural network-based evaluation of ionization in supercritical fluid chromatography-mass spectrometry using electrospray (ESI) and atmospheric pressure chemical ionization (APCI)

description: Raw data used for the evaluation of ionization in supercritical fluid chromatography-mass spectrometry using electrospray (ESI) and atmospheric pressure chemical ionization (APCI) pubhlished in article "Artificial Neural Networks: An Innovative Approach Used for Elucidation of Ionization Processes in Supercritical Fluid Chromatography-Mass Spectrometry" in Analytical Chemistry, 2025.

Data set contains: (i) 226 molecular descriptors calculated by CDK Descriptor Calculator (v.1.4.8) from 3D structures of the 107 analytes optimized by semi-empirical AM1 quantum mechanical calculations using the MOPAC application of Chem 3D Pro version 14.0 software (CambridgeSoft) (Excel sheet), (ii) MS responses (peak areas) for each compouned analyzed using SFC-ESI-MS with selected ion monitoring (SIM) of protonated and deprotonated molecular ions and using 224 make-up solvent compositions correlated to QC samples and splitting ratio, (iii) MS responses (peak areas) for each compouned analyzed using SFC-APCI-MS with selected ion monitoring (SIM) of protonated and deprotonated molecular ions and using 224 make-up solvent compositions correlated to QC samples and splitting ratio, (iv) weights assigned to each molecular descriptor based on each experimental conditions by artificial neural network created using the neural network simulator in Matlab R2023a with the deep learning toolbox V.23.2 (The MathWorks, Inc., Massachusetts, USA) and a sigmoid activation function, a backpropagation learning algorithm with 500 learning cycles (Excel sheet).
DOI: 10.21233/gsv7-g472
title: LDDsite6698 water chemistry dataset

description: Raw data for the LDDsite6698 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.8043243
title: Rivers evolution in the hinterland of Ravenna

description: GeoPackage database with vector file showing the evolution of the rivers network of the hinterland of Ravenna during the last three millennia, together with related metadata.

Chronological periods considered are:



Bronze Age (~1000 BCE)

Roman period (~100 CE)

Early Middle Ages (~1200 CE)

Late Middle Ages (~1400 CE)

1598-1600s CE

1651-1694 CE

1750-1764 CE

1853 CE

1895 CE

2022 CE
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.5281/zenodo.8043244
title: Rivers evolution in the hinterland of Ravenna

description: GeoPackage database with vector file showing the evolution of the rivers network of the hinterland of Ravenna during the last three millennia, together with related metadata.

Chronological periods considered are:



Bronze Age (~1000 BCE)

Roman period (~100 CE)

Early Middle Ages (~1200 CE)

Late Middle Ages (~1400 CE)

1598-1600s CE

1651-1694 CE

1750-1764 CE

1853 CE

1895 CE

2022 CE
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.21233/esh3-xq27
title: Laurel Lake water chemistry dataset

description: Raw data for the Laurel Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.8043221
title: Wetlands evolution in the hinterland of Ravenna

description: GeoPackage database with polygonal file showing the evolution of the wetlands of the hinterland of Ravenna during the last three millennia, together with related metadata.

Chronological periods considered are:



Bronze Age (~1000 BCE)

Roman period (~100 CE)

Early Middle Ages (~1200 CE)

Late Middle Ages (~1400 CE)

1598-1600s CE

1651-1694 CE

1750-1764 CE

1853 CE

1895 CE

2022 CE
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.5281/zenodo.8043222
title: Wetlands evolution in the hinterland of Ravenna

description: GeoPackage database with polygonal file showing the evolution of the wetlands of the hinterland of Ravenna during the last three millennia, together with related metadata.

Chronological periods considered are:



Bronze Age (~1000 BCE)

Roman period (~100 CE)

Early Middle Ages (~1200 CE)

Late Middle Ages (~1400 CE)

1598-1600s CE

1651-1694 CE

1750-1764 CE

1853 CE

1895 CE

2022 CE
description: "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland" is a multidisciplinary and diachronic PhD project whose aim was to reconstruct the physical evolution of the landscape around Ravenna (Italy) from the Bronze Age until today and how this influenced human occupation in the area. The PhD project was carried out by Michele Abballe at Ghent University/University of Verona, under the supervision of Frank Vermeulen (Ghent University), and the co-supervision of Fabio Saggioro (University of Verona), Devi Taelman (Ghent University) and Jeroen Verhegge (Ghent University). The PhD project was funded by the Bijzonder Onderzoeksfonds UGent (BOF) under Grant number BOF.FJD.2017.0002.01 and supported by three Grants for long stays abroad by the Research Foundation Flanders (FWO) under Grant numbers V421419N, V430720N, and V409421N. This is one of the datasets produced within Michele Abballe's PhD project "Geoarchaeology and palaeoDEMs modelling to assess the archaeological potential of Ravenna and its hinterland".
DOI: 10.21233/2f4v-z175
title: ONTSU107 pollen surface sample dataset

description: Raw data for the ONTSU107 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/y1g0-xg38
title: Halfway Pond diatom dataset

description: Raw data for the Halfway Pond diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/nrx7-bv57
title: Madison Lake water chemistry dataset

description: Raw data for the Madison Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.6xxs23
title: Occurrence Download

description: A dataset containing 2042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hyalinobatrachium fleischmanni (Boettger, 1893)"
 ]
}

 The dataset includes 2042 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026219-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11781749
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.21233/g3bx-da93
title: Rachelsee pollen dataset

description: Raw data for the Rachelsee pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/yc0e-5g79
title: Khabarovsky ostracode surface sample dataset

description: Raw data for the Khabarovsky ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15355651
title: Dataset for the artificial neural network-based evaluation of ionization in supercritical fluid chromatography-mass spectrometry using electrospray (ESI) and atmospheric pressure chemical ionization (APCI)

description: Raw data used for the evaluation of ionization in supercritical fluid chromatography-mass spectrometry using electrospray (ESI) and atmospheric pressure chemical ionization (APCI) pubhlished in article "Artificial Neural Networks: An Innovative Approach Used for Elucidation of Ionization Processes in Supercritical Fluid Chromatography-Mass Spectrometry" in Analytical Chemistry, 2025.

Data set contains: (i) 226 molecular descriptors calculated by CDK Descriptor Calculator (v.1.4.8) from 3D structures of the 107 analytes optimized by semi-empirical AM1 quantum mechanical calculations using the MOPAC application of Chem 3D Pro version 14.0 software (CambridgeSoft) (Excel sheet), (ii) MS responses (peak areas) for each compouned analyzed using SFC-ESI-MS with selected ion monitoring (SIM) of protonated and deprotonated molecular ions and using 224 make-up solvent compositions correlated to QC samples and splitting ratio, (iii) MS responses (peak areas) for each compouned analyzed using SFC-APCI-MS with selected ion monitoring (SIM) of protonated and deprotonated molecular ions and using 224 make-up solvent compositions correlated to QC samples and splitting ratio, (iv) weights assigned to each molecular descriptor based on each experimental conditions by artificial neural network created using the neural network simulator in Matlab R2023a with the deep learning toolbox V.23.2 (The MathWorks, Inc., Massachusetts, USA) and a sigmoid activation function, a backpropagation learning algorithm with 500 learning cycles (Excel sheet).
DOI: 10.21233/0dr9-cw18
title: LDDsite4807 ostracode surface sample dataset

description: Raw data for the LDDsite4807 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xnyx-sn76
title: Mer Bleue Bog testate amoebae surface sample dataset

description: Raw data for the Mer Bleue Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.32pz9t
title: Occurrence Download

description: A dataset containing 3222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Ardisia crenata Sims"
 ]
}

 The dataset includes 3222 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026220-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/mgpr-mc27
title: Toivola Bog A testate amoebae surface sample dataset

description: Raw data for the Toivola Bog A testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ndm7-5y45
title: Pipestone Creek ostracode surface sample dataset

description: Raw data for the Pipestone Creek ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n179-k115
title: WASU 75 pollen surface sample dataset

description: Raw data for the WASU 75 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.58xjeu
title: Occurrence Download

description: A dataset containing 18068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Cervidae"
 ]
}

 The dataset includes 18068 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026221-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/da7z-t907
title: Waubay Lake water chemistry dataset

description: Raw data for the Waubay Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.