cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2md75j
title: Occurrence Download

description: A dataset containing 19475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anguis colchica (Nordmann, 1840)"
 ]
}

 The dataset includes 19475 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046629-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24633843
title: Supplementary Table S5 (final)

description: TPM values of intact and twin blastocysts (7660 genes). The coding system of the specimens is as follows: ICSI_site of ICSI_unique embryo number followed by ’a’ or ‘b’ to specify which twin blastocyst (if no letter, then it is a blastocyst from a 2-cell embryos that was not split).
DOI: 10.6084/m9.figshare.24796470
title: Supplementary Table S3 (final)

description: TPM values of the single 2-cell stage blastomeres (55 pairs 7492 genes). The coding system of the specimens is as follows: ICSI_site of ICSI_unique embryo number followed by ’a’ or ‘b’ to indicate which one of the sister blastomeres.
DOI: 10.5281/zenodo.14479256
title: Estimating temporal likelihood of archaeological sites in prehistoric Denmark combining typochronological and radiocarbon data

description: This repository contains the necessary instructions to carry out the analyses described in the paper titled:

Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data



Author

Giacomo Bilotti (bilottigiacomo@gmail.com)

Kiel University, Institute of Pre- and Protohistoric Archaeology




Abstract

The surge in data availability and methodological advancements over the last decades has enabled archaeologists to develop more robust data-driven models, which are essential for reconstructing ancient human history. However, despite their potential, these datasets pose significant challenges due to their heterogeneity and inherent uncertainties. A common limitation is the low chronological resolution of many datasets, which often compels archaeologists to rely on proxies such as radiocarbon date frequency distributions to study variations in occupation intensity. While this approach is widely used, it necessitates a large number of radiocarbon samples to construct probability curves, leading to a considerable loss of spatial resolution. Moreover, the method itself is not without criticism. To address these challenges, I propose a novel method that combines typochronological and radiocarbon datasets, preserving both temporal and spatial resolution while accounting for uncertainty. Each relatively dated site is assigned a simulated calendar date within its chronological span, based on the cumulative probability distribution of locally available radiocarbon data. The results are grouped into uniform time windows, with each site assigned a likelihood of belonging to each time period, bridging temporal and spatial data. The efficacy and functionality of the method are demonstrated using toy data, with the results compared to outputs from alternative methods. Finally, the method is applied to four case studies from prehistoric Denmark (4000-500 BC), showcasing its potential in addressing long-standing challenges in archaeological modelling.




Structure of the repository

The repository folder is structured as follows:



Readme.md: This file (repository overview).

scripts/: Contains all R scripts for data preparation, analysis, and visualisation.



00_required_packages.R: Installs and loads required packages.

01_data_preparation.R: Processes raw data into analysis-ready format.

03_paper_figures_6-9.R: Generates figures 6 to 9 for the paper.

(other scripts): Each named by function or purpose for clarity.



data/: Raw and derived geospatial data in GeoPackage (.gpkg) format.



raw_data: Contains raw input files.

derived_data: Contains processed or derived datasets.



SI/: Contains 7 supplementary figures for additional analyses and a PDF file with information about Danish prehistory.

figures/: Stores 11 figures used in the main paper.


All the scripts are also available in GitLab (https://gitlab.com/bilottigiacomo/chronological-modelling)
DOI: 10.5281/zenodo.14479257
title: SI for the paper: Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data

description: This repository contains the necessary instructions to carry out the analyses described in the paper titled:

Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data



Author

Giacomo Bilotti (bilottigiacomo@gmail.com)

Kiel University, Institute of Pre- and Protohistory




Abstract

The surge in data availability and methodological advancements over the last decades has enabled archaeologists to develop more robust data-driven models, which are essential for reconstructing ancient human history. However, despite their potential, these datasets pose significant challenges due to their heterogeneity and inherent uncertainties. A common limitation is the low chronological resolution of many datasets, which often compels archaeologists to rely on proxies such as radiocarbon date frequency distributions to study variations in occupation intensity. While this approach is widely used, it necessitates a large number of radiocarbon samples to construct probability curves, leading to a considerable loss of spatial resolution. Moreover, the method itself is not without criticism. To address these challenges, I propose a novel method that combines typochronological and radiocarbon datasets, preserving both temporal and spatial resolution while accounting for uncertainty. Each relatively dated site is assigned a simulated calendar date within its chronological span, based on the cumulative probability distribution of locally available radiocarbon data. The results are grouped into uniform time windows, with each site assigned a likelihood of belonging to each time period, bridging temporal and spatial data. The efficacy and functionality of the method are demonstrated using toy data, with the results compared to outputs from alternative methods. Finally, the method is applied to four case studies from prehistoric Denmark (4000-500 BC), showcasing its potential in addressing long-standing challenges in archaeological modelling.




Structure of the repository

The repository folder is structured as follows:



Readme.md: This file (repository overview).

scripts/: Contains all R scripts for data preparation, analysis, and visualisation.



00_required_packages.R: Installs and loads required packages.

01_data_preparation.R: Processes raw data into analysis-ready format.

03_paper_figures_6-9.R: Generates figures 6 to 9 for the paper.

(other scripts): Each named by function or purpose for clarity.



data/: Raw and derived geospatial data in GeoPackage (.gpkg) format.



raw_data: Contains raw input files.

derived_data: Contains processed or derived datasets.



SI/: Contains 7 supplementary figures for additional analyses and a PDF file with information about Danish prehistory.

figures/: Stores 11 figures used in the main paper.


All the scripts are also available in GitLab (https://gitlab.com/bilottigiacomo/chronological-modelling)
DOI: 10.5281/zenodo.14479409
title: SI for the paper: Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data

description: This repository contains the necessary instructions to carry out the analyses described in the paper titled:

Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data



Author

Giacomo Bilotti (bilottigiacomo@gmail.com)

Kiel University, Institute of Pre- and Protohistory




Abstract

The surge in data availability and methodological advancements over the last decades has enabled archaeologists to develop more robust data-driven models, which are essential for reconstructing ancient human history. However, despite their potential, these datasets pose significant challenges due to their heterogeneity and inherent uncertainties. A common limitation is the low chronological resolution of many datasets, which often compels archaeologists to rely on proxies such as radiocarbon date frequency distributions to study variations in occupation intensity. While this approach is widely used, it necessitates a large number of radiocarbon samples to construct probability curves, leading to a considerable loss of spatial resolution. Moreover, the method itself is not without criticism. To address these challenges, I propose a novel method that combines typochronological and radiocarbon datasets, preserving both temporal and spatial resolution while accounting for uncertainty. Each relatively dated site is assigned a simulated calendar date within its chronological span, based on the cumulative probability distribution of locally available radiocarbon data. The results are grouped into uniform time windows, with each site assigned a likelihood of belonging to each time period, bridging temporal and spatial data. The efficacy and functionality of the method are demonstrated using toy data, with the results compared to outputs from alternative methods. Finally, the method is applied to four case studies from prehistoric Denmark (4000-500 BC), showcasing its potential in addressing long-standing challenges in archaeological modelling.




Structure of the repository

The repository folder is structured as follows:



Readme.md: This file (repository overview).

scripts/: Contains all R scripts for data preparation, analysis, and visualisation.



00_required_packages.R: Installs and loads required packages.

01_data_preparation.R: Processes raw data into analysis-ready format.

03_paper_figures_6-9.R: Generates figures 6 to 9 for the paper.

(other scripts): Each named by function or purpose for clarity.



data/: Raw and derived geospatial data in GeoPackage (.gpkg) format.



raw_data: Contains raw input files.

derived_data: Contains processed or derived datasets.



SI/: Contains 7 supplementary figures for additional analyses and a PDF file with information about Danish prehistory.

figures/: Stores 11 figures used in the main paper.


All the scripts are also available in GitLab (https://gitlab.com/bilottigiacomo/chronological-modelling)
DOI: 10.5281/zenodo.14503369
title: Estimating temporal likelihood of archaeological sites in prehistoric Denmark combining typochronological and radiocarbon data

description: This repository contains the necessary instructions to carry out the analyses described in the paper titled:

Estimating temporal likelihood of archaeological sites combining typochronological and radiocarbon data



Author

Giacomo Bilotti (bilottigiacomo@gmail.com)

Kiel University, Institute of Pre- and Protohistoric Archaeology




Abstract

The surge in data availability and methodological advancements over the last decades has enabled archaeologists to develop more robust data-driven models, which are essential for reconstructing ancient human history. However, despite their potential, these datasets pose significant challenges due to their heterogeneity and inherent uncertainties. A common limitation is the low chronological resolution of many datasets, which often compels archaeologists to rely on proxies such as radiocarbon date frequency distributions to study variations in occupation intensity. While this approach is widely used, it necessitates a large number of radiocarbon samples to construct probability curves, leading to a considerable loss of spatial resolution. Moreover, the method itself is not without criticism. To address these challenges, I propose a novel method that combines typochronological and radiocarbon datasets, preserving both temporal and spatial resolution while accounting for uncertainty. Each relatively dated site is assigned a simulated calendar date within its chronological span, based on the cumulative probability distribution of locally available radiocarbon data. The results are grouped into uniform time windows, with each site assigned a likelihood of belonging to each time period, bridging temporal and spatial data. The efficacy and functionality of the method are demonstrated using toy data, with the results compared to outputs from alternative methods. Finally, the method is applied to four case studies from prehistoric Denmark (4000-500 BC), showcasing its potential in addressing long-standing challenges in archaeological modelling.




Structure of the repository

The repository folder is structured as follows:



Readme.md: This file (repository overview).

scripts/: Contains all R scripts for data preparation, analysis, and visualisation.



00_required_packages.R: Installs and loads required packages.

01_data_preparation.R: Processes raw data into analysis-ready format.

03_paper_figures_6-9.R: Generates figures 6 to 9 for the paper.

(other scripts): Each named by function or purpose for clarity.



data/: Raw and derived geospatial data in GeoPackage (.gpkg) format.



raw_data: Contains raw input files.

derived_data: Contains processed or derived datasets.



SI/: Contains 7 supplementary figures for additional analyses and a PDF file with information about Danish prehistory.

figures/: Stores 11 figures used in the main paper.


All the scripts are also available in GitLab (https://gitlab.com/bilottigiacomo/chronological-modelling)
DOI: 10.15468/dl.w8x5md
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Algeria",
 "TaxonKey is Leptopsammia pruvoti Lacaze-Duthiers, 1897"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046630-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tf925
title: Occurrence Download

description: A dataset containing 2284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (India, Japan, Bhutan)",
 "TaxonKey is Loxia curvirostra Linnaeus, 1758"
 ]
}

 The dataset includes 2284 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyb9rz
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.61559 37.99293,-4.43597 37.76708,-4.24512 37.76288,-4.17785 37.87674,-4.17216 38.05032,-4.4164 38.05886,-4.46905 38.04985,-4.61559 37.99293))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Malvella sherardiana (L.) Jaub. & Spach"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14287908
title: Gotha Löwen Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.14546595
title: Awareness and Perspectives on Sustainable Development Goals Among Erasmus Students at a Spanish University

description: The data were obtained from Erasmus students at the University of A Coruña, who in turn distributed the questionnaire through a "snowball procedure", the aim of which was to obtain information on the students' assessment of the Sustainable Development Goals (SDGs), in order to analyse the current situation and possible future implications of the commitment to sustainability and its different spheres.

 
description: This dataset was the main source for the empirical analysis published in the paper : Picatoste, X., Tirca, D.M. and Novo-Corti, I. (2024), "Perception about sustainable development goals among Erasmus students in a Spanish university", International Journal of Sustainability in Higher Education, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJSHE-10-2023-0488
DOI: 10.5281/zenodo.14546596
title: Awareness and Perspectives on Sustainable Development Goals Among Erasmus Students at a Spanish University

description: The data were obtained from Erasmus students at the University of A Coruña, who in turn distributed the questionnaire through a "snowball procedure", the aim of which was to obtain information on the students' assessment of the Sustainable Development Goals (SDGs), in order to analyse the current situation and possible future implications of the commitment to sustainability and its different spheres.

 
description: This dataset was the main source for the empirical analysis published in the paper : Picatoste, X., Tirca, D.M. and Novo-Corti, I. (2024), "Perception about sustainable development goals among Erasmus students in a Spanish university", International Journal of Sustainability in Higher Education, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJSHE-10-2023-0488
DOI: 10.15468/dl.84u2y9
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.35277 35.24421,36.64723 35.24421,36.64723 49.75579,0.35277 49.75579,0.35277 35.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Iris orjenii Bräuchler & Cikovac"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k66n4
title: Occurrence Download

description: A dataset containing 7950 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence of small mammals in Mordovia State Nature Reserve and National Park “Smolny” (European Russia)"
 ]
}

 The dataset includes 7950 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14287873
title: Gotha Hof/Goethe Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.haerjp
title: Occurrence Download

description: A dataset containing 11729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pacifastacus leniusculus (Dana, 1852)",
 "Country is Sweden",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 11729 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046635-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14253202
title: Anonymized Brain MRI Scans
DOI: 10.5281/zenodo.14253203
title: Anonymized Brain MRI Scans
DOI: 10.15468/d67e8s
title: Herbier Letendre (champignons phytopathogènes, TL 108)

description: end of the 19th century (1870-1890). Abbot Letendre (chaplain at Grand-Quevilly, Seine-Maritime, 76). 4 binders. Mushrooms and plant parasites collected in the 19th century in France, divided into 4 binders or 1092 plates. He has carried out numerous collections himself, added to numerous collaborations including that of Casimir Rouméguère.

fin du XIXème (1870-1890). Abbé Letendre (chapelain au Grand-Quevilly, Seine-Maritime, 76). 4 classeurs. Champignons et parasites végétaux collectés au XIXe siècle en France, répartis en 4 classeurs soit 1092 planches. Il a effectué de nombreuses collectes lui-même, ajoutées à de nombreuses collaborations dont celle de Casimir Rouméguère.
DOI: 10.15468/dl.vupmn9
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lissorhoptrus oryzophilus Kuschel, 1952"
 ]
}

 The dataset includes 926 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046639-241126133413365/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/10277985
title: World Weather Repository ( Daily Updating )
DOI: 10.5281/zenodo.14547011
title: Grube Erika Zweigap Senftenberg Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.14547042
title: Grube Marge Zweigap Senftenberg Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).