cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jtghh
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria brazzae (Franch.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 329 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017664-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14025367
title: Neutron activation analysis data of pottery from Songoy-Cojal, Peru

description: Neutron activation analysis data of pottery from Songoy-Cojal, Lambayeque Department, Peru
DOI: 10.5281/zenodo.14025366
title: Neutron activation analysis data of pottery from Songoy-Cojal, Peru

description: Neutron activation analysis data of pottery from Songoy-Cojal, Lambayeque Department, Peru
DOI: 10.15468/dl.k3efc7
title: Occurrence Download

description: A dataset containing 882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Paratectonatica tigrina (Röding, 1798)"
 ]
}

 The dataset includes 882 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017667-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.am64qk
title: Occurrence Download

description: A dataset containing 1970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)",
 "Country is Seychelles",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1970 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017668-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcfvgt
title: Occurrence Download

description: A dataset containing 2223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria ciliaris (Retz.) Koeler",
 "Continent is Africa"
 ]
}

 The dataset includes 2223 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017669-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymr764
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zea perennis (Hitchc.) Reeves & Mangelsd."
 ]
}

 The dataset includes 417 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017670-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md98r4
title: Occurrence Download

description: A dataset containing 2388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)",
 "Country is French Polynesia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2388 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017671-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx5zdc
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria comifera Pilg.",
 "Continent is Africa"
 ]
}

 The dataset includes 58 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017672-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5grdc
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zea perennis (Hitchc.) Reeves & Mangelsd."
 ]
}

 The dataset includes 417 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017673-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4v6aa
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Cambodia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017675-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vp25z
title: Occurrence Download

description: A dataset containing 839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria debilis (Desf.) Willd.",
 "Continent is Africa"
 ]
}

 The dataset includes 839 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017677-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sch39ghv27.1
title: Reconstruction of the prehistoric environment on the basis of the analysis of the Chernozem used for the construction of the Neolithic Long barrow at the Dušníky site (Czech Republic)

description: Data describe the Late Neolithic Barrow of Dušníky
DOI: 10.17632/sch39ghv27.2
title: Reconstruction of the prehistoric environment on the basis of the analysis of the Chernozem used for the construction of the Neolithic Long barrow at the Dušníky site (Czech Republic)

description: Data describe the Late Neolithic Barrow of Dušníky
DOI: 10.5281/zenodo.13829136
title: Coleoptera morphospecies with feeding guild (at family level) in sub project 7 in KiLi project

description: Coleoptera morphospecies with feeding guild (at family level). 

Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species.

The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.
DOI: 10.5281/zenodo.13829137
title: Coleoptera morphospecies with feeding guild (at family level) in sub project 7 in KiLi project

description: Coleoptera morphospecies with feeding guild (at family level). 

Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species.

The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.
DOI: 10.15468/dl.62eu47
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is India",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 478 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017679-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znt37y
title: Occurrence Download

description: A dataset containing 30021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clitopilus prunulus (Scop.) P.Kumm."
 ]
}

 The dataset includes 30021 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017678-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quwe8s
title: Occurrence Download

description: A dataset containing 1766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria diagonalis (Nees) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 1766 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017680-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37kvsm
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Thailand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 885 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017681-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.get88h
title: Occurrence Download

description: A dataset containing 3052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria eriantha Steud.",
 "Continent is Africa"
 ]
}

 The dataset includes 3052 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017682-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gub7zb
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Puerto Rico",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 252 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017683-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17870/bathspa.27377547
title: Evaluating Immersive Experiences - Immersive Experiences: Literature Review

description: A literature review of immersive experiences and the methods of data capture and evaluation being used to understand their impact in various contexts including the arts, education, tourism, museum and heritage, and healthcare. The Review assesses the challenges posed to researchers seeking to capture the impact of immersive experiences and concludes with future recommendations and prompts for further enquiry.
DOI: 10.17870/bathspa.27377547.v1
title: Evaluating Immersive Experiences - Immersive Experiences: Literature Review

description: A literature review of immersive experiences and the methods of data capture and evaluation being used to understand their impact in various contexts including the arts, education, tourism, museum and heritage, and healthcare. The Review assesses the challenges posed to researchers seeking to capture the impact of immersive experiences and concludes with future recommendations and prompts for further enquiry.
DOI: 10.15468/dl.tx7u4t
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria eylesii C.E.Hubb.",
 "Continent is Africa"
 ]
}

 The dataset includes 79 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017684-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12601048
title: SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

description: This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former.

At least five synthetic variants were generated for each of the eleven cities:



Paris (11 variants)

Toulouse (9 variants)

Poitiers (8 variants)

Bordeaux (6 variants)

Limoges (9 variants)

Clermont-Ferrand (5 variants)

Troyes (6 variants)

Le Mans (14 variants)

Angers (7 variants)

Madrid (15 variants)

Niort (6 variants)


The file names within the ZIP archives follow a very simple schema:

`assembled_` + city name + usage or band indicator + variant + PNG extension / NC extension

Each of the four types of images has a different indicator or band:



`_RGB_` for images encoding visible spectrum signals

`_NIR_` for images generated for the near-infrared band

`_full_allbuildingmask` for the coverage pixel mask of all building types in floating point

`_full_nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point

if we have no indicator, then it is a netCDF file with a labelled xarray that merges RGB+NIR as the original Sentinel-2 spectral bands in full original range


NOTE: This 5th version corrects a minor bug in 3rd version of this dataset. If you want to access to version 4 (with non-already assembled patches), it is also available in the right side control version list.

The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.
DOI: 10.5281/zenodo.12601049
title: SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

description: This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former.

A total of five synthetic variants were generated for each of the ten cities:



Paris

Toulouse

Poitiers

Bordeaux

Limoges

Clermont-Ferrand

Troyes

Le Mans

Angers

Madrid


The file names within the ZIP archive follow a very simple schema:

`assembled_` + city name + usage or band indicator + variant + PNG extension

Each of the four types of images has a different indicator or band:



`_RGB_` for images encoding visible spectrum signals

`_IR_` for images generated for the near-infrared band

`_full_allbuildingmask` for the coverage pixel mask of all building types in floating point

`_full_nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point


The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.
DOI: 10.5281/zenodo.12608324
title: SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

description: This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former.

A total of five synthetic variants were generated for each of the eleven cities:



Paris

Toulouse

Poitiers

Bordeaux

Limoges

Clermont-Ferrand

Troyes

Le Mans

Angers

Madrid

Niort


The file names within the ZIP archive follow a very simple schema:

`assembled_` + city name + usage or band indicator + variant + PNG extension

Each of the four types of images has a different indicator or band:



`_RGB_` for images encoding visible spectrum signals

`_IR_` for images generated for the near-infrared band

`_full_allbuildingmask` for the coverage pixel mask of all building types in floating point

`_full_nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point


The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.

 

note: This version 2.0 includes synthetic data from Niort city too.
DOI: 10.5281/zenodo.13118488
title: SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

description: This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former.

At least five synthetic variants were generated for each of the eleven cities:



Paris (11 variants)

Toulouse (9 variants)

Poitiers (8 variants)

Bordeaux (6 variants)

Limoges (9 variants)

Clermont-Ferrand (5 variants)

Troyes (6 variants)

Le Mans (14 variants)

Angers (7 variants)

Madrid (15 variants)

Niort (6 variants)


The file names within the ZIP archives follow a very simple schema:

`assembled_` + city name + usage or band indicator + variant + PNG extension / NC extension

Each of the four types of images has a different indicator or band:



`_RGB_` for images encoding visible spectrum signals

`_NIR_` for images generated for the near-infrared band

`_full_allbuildingmask` for the coverage pixel mask of all building types in floating point

`_full_nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point

if we have no indicator, then it is a netCDF file with a labelled xarray that merges RGB+NIR as the original Sentinel-2 spectral bands in full original range


The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.

 

note: This version 3.0 includes curated new synthetic data for all cities, with less clouds and visual artefacts.
DOI: 10.5281/zenodo.13208361
title: SD4EO: AI-based synthetic satellite Sentinel-2 images of cities and building coverture (RGB+NIR bands)

description: This dataset has been created as part of the deliverables for ESA’s SD4EO project. It consists of synthetic versions of Sentinel-2 images in urban areas. These images were synthetically generated using schematic representations from Open Street Maps as a guide to create AI-based conditioned diffusion model images in the visible and near-infrared spectrum, along with coverage masks for non-residential buildings and the set of residential buildings combined with the former.

We have generated synthetic patches of 1700x1700m which cover the urban area of the eleven cities:



Paris

Toulouse

Poitiers 

Bordeaux 

Limoges 

Clermont-Ferrand 

Troyes 

Le Mans 

Angers 

Madrid 

Niort 


The patches overlap slightly (a 1/6th). There are 50 variants of visible (RGB) and near infrared (NIR) for each patch location.We have split the patches in two main folders: 



medium_sized_urban_structures: it contains residential and non residential urban areas which are smaller than 1 patch

other_urban_and_rural_structures it contains super-structures (like airports, hippodromes, golf clubs) which are underrespresented and typically cover several neighbouring patches, and rural areas around these cities


The file names within the ZIP archives follow a very simple schema, where the end of the file name indicates the content:



preview_synthetic_patches_3.3m: PNG files of the patch variants for the binary masks, RGB and NIR patches at 3.3m per pixel 

preview_synthetic_patches_10m: PNG files of the patch variants for the floating point masks, RGB and NIR patches at 10m per pixel (native Sentinel-2 resolution)

synthetic_patches_10m: netCDF files with labelled xarrays of each patch variant for the floating point masks, RGB and NIR patches at 10m per pixel (native Sentinel-2 resolution

downsampling_scripts: python functions to filter and downsampling the original 3.3m patches into the 10m patches (cubic/order-3 resamping)


The image and netCDF files have intuitive filenames and they are oganized in folders according the city and nature of the file. We use the following suffixes:



`RGB` for images encoding visible spectrum signals

`NIR` for images generated for the near-infrared band

`allbuildingmask` for the coverage pixel mask of all building types in floating point

`nonresidentialmask` for the coverage pixel mask of non-residential buildings in floating point


The full dataset (preview and netcdf files) sums more than 247,000 files.

The SD4EO Project is funded by the ESA’s FutureEO programme under contract no. 4000142334/23/I-DT and supervised by ESA Φ-lab.