cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i11211156a37n2p75
title: William Charles Wells (1757-1817). Un antropologo controcorrente nel discorso razziale americano

description: La fortuna dell'opera dell'anatomista americano William Charles Wells (1757-1817) fu pressoché nulla fino a quando Charles Darwin, nella quarta edizione (1866) dell'Origine delle specie, lo riconobbe come l'autore della prima formulazione pubblica del principio di selezione naturale. I pochi storici della scienza che si sono occupati di Wells hanno dibattuto su se e quanto abbia davvero anticipato quel principio evoluzionistico, legando a questo la sua scarsa fortuna. L'articolo intende evidenziare i limiti della lettura evoluzionistica delle idee di Wells da parte di Darwin e di quegli storici della scienza, per 'slegare' Wells dall'evoluzionismo e 'riconsegnarlo' all'antropologia fisica del suo tempo. Emerge così la reale portata delle idee di Wells nella storia naturale, che superano quelle di Blumenbach e Prichard e che costituiscono un riferimento anche per la ricerca antropologica dello stesso Darwin, nell'Origine dell'uomo (1871). Ed emerge così il reale motivo della sua scarsa fortuna: Wells era un monogenista che non faceva classificazioni razziali, un anatomista che non misurava crani, cioè un antropologo anonimo perché controcorrente nel discorso razziale americano dell'Ottocento. Qui, infatti, fin dalla prima metà del secolo dominava la poligenesi su basi soprattutto craniometriche, l''antropologia della varietà' lasciava il posto all''antropologia della dominanza', la parola d'ordine era 'disuguaglianza' e il credo era il 'razzismo scientifico'.
description: The success of the work of the American anatomist William Charles Wells (1757-1817) was almost nil until Charles Darwin, in the fourth edition (1866) of On the Origin of Species, recognized him as the author of the first public formulation of the principle of natural selection. The few historians of science who have dealt with Wells have debated whether and to what extent he really anticipated that evolutionary principle, linking his poor fortune to this. The article intends to highlight the limits of the evolutionary reading of Wells' ideas by Darwin and those historians of science, to 'untie' Wells from evolutionism and 'return' him to the physical anthropology of his time. Thus, the real significance of Wells' ideas in natural history emerges, which surpass those of Blumenbach and Prichard and which also constitute a reference for Darwin's own anthropological research in The Descent of Man (1871). And thus the real reason for his poor fortune emerges: Wells was a monogenist who did not make racial classifications, an anatomist who did not measure skulls, that is, an anonymous anthropologist because he went against the grain of nineteenth-century American racial discourse. In fact, here, since the first half of the century polygenesis on mainly craniometric bases dominated, the 'anthropology of variety' gave way to the 'anthropology of dominance', the watchword was 'inequality' and the creed was 'scientific racism'.
DOI: 10.5281/zenodo.13255990
title: ECMWF/ENS - 2019 to 2020 - Great Britain

description: Dataset of ensemble Numerical Weather Predictions used as input for the probabilistic wind power forecasting tool developed for the paper: Seamless short- to mid-term probabilistic wind power forecasting.
description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.


The dataset contains operational forecasts for the base times of 00 UCT and 12 UTC from 2019 to 2020. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.grib pattern.


The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: 10 metre U wind component, 10 metre V wind component, 2 metre temperature, 2 metre dewpoint temperature, total column water, mean sea level pressure, surface net solar radiation, total cloud cover, and total precipitation.
DOI: 10.5281/zenodo.13255991
title: ECMWF/ENS - 2019 to 2020 - Great Britain

description: Dataset of ensemble Numerical Weather Predictions used as input for the probabilistic wind power forecasting tool developed for the paper: Seamless short- to mid-term probabilistic wind power forecasting.
description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.


The dataset contains operational forecasts for the base times of 00 UCT and 12 UTC from 2019 to 2020. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.grib pattern.


The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: 10 metre U wind component, 10 metre V wind component, 2 metre temperature, 2 metre dewpoint temperature, total column water, mean sea level pressure, surface net solar radiation, total cloud cover, and total precipitation.
DOI: 10.15468/dl.knrqa6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.10620 42.01848,3.32602 42.01848,3.32602 42.10637,3.10620 42.10637,3.10620 42.01848))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charonia lampas (Linnaeus, 1758)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014282-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14141047
title: Strategic Integration of Urban Excess Heat Sources in District Heating: A Spatio-Temporal Optimization Paradigm

description: This data repository supports the techno-economic and geospatial optimization analysis of district heating systems (DHS) in Stockholm, with a particular focus on integrating Urban Excess Heat (UEH) sources. The dataset includes both input data and results, organized by the key analytical tools employed in the study: GIS, OSeMOSYS, and the Hotmaps Dispatch Model.

The folder structure is organized as follows:

/Data│├── Input_Data/│   ├── GIS/│   ├── OSeMOSYS/│   ├── Hotmaps_Dispatch/│└── Results/    ├── GIS/    │     ├── Optimized DHS network extensions for UEH sources    │     ├── Long-term capacity and emissions projections for DHS          ├── Dispatch outputs for different electricity price scenarios

Dataset Details

1. Input Data Folder: This folder includes all data used as inputs across the three primary tools:   - GIS: Contains geospatial data on the DHS network paths, source locations, and spatial configurations for network optimization.   - OSeMOSYS: Provides techno-economic parameters for heat generation technologies, including capital and operational costs, fuel price projections, and emissions factors.   - Hotmaps Dispatch: Includes detailed demand profiles, projected electricity prices, and the supply temperature requirements essential for dispatch simulations.

2. Results Folder: This folder contains the results generated by each tool after processing the input data:   - GIS: Outputs optimized paths for network expansion and geospatial mapping of UEH sources.   -OSeMOSYS: Contains projections for DHS technology adoption, emissions reduction, and cost optimization over a 23-year model period.   - Hotmaps Dispatch: Stores dispatch model results under various electricity pricing and temperature scenarios, capturing the optimal deployment of DHS resources.

Summary of Tools Used

- GIS (Geospatial Information System): Used to locate UEH sources and map their proximity to the existing DHS network, guiding the optimization of network expansions.- OSeMOSYS (Open Source Energy Modelling System): Performs long-term optimization for the DHS, factoring in the addition of UEH sources, electricity price scenarios, and emissions constraints.- Hotmaps Dispatch Model: Simulates operational dispatch of heat generation technologies in response to varying electricity prices and network temperatures, providing insights into real-time heat supply optimization.

This repository thus provides a comprehensive dataset to support the techno-economic and spatial analysis of DHS, facilitating the integration of UEH sources in urban heating systems through scenario-based optimizations.
DOI: 10.5281/zenodo.14141048
title: Strategic Integration of Urban Excess Heat Sources in District Heating: A Spatio-Temporal Optimization Paradigm

description: This data repository supports the techno-economic and geospatial optimization analysis of district heating systems (DHS) in Stockholm, with a particular focus on integrating Urban Excess Heat (UEH) sources. The dataset includes both input data and results, organized by the key analytical tools employed in the study: GIS, OSeMOSYS, and the Hotmaps Dispatch Model.

The folder structure is organized as follows:

/Data│├── Input_Data/│   ├── GIS/│   ├── OSeMOSYS/│   ├── Hotmaps_Dispatch/│└── Results/    ├── GIS/    │     ├── Optimized DHS network extensions for UEH sources    │     ├── Long-term capacity and emissions projections for DHS          ├── Dispatch outputs for different electricity price scenarios

Dataset Details

1. Input Data Folder: This folder includes all data used as inputs across the three primary tools:   - GIS: Contains geospatial data on the DHS network paths, source locations, and spatial configurations for network optimization.   - OSeMOSYS: Provides techno-economic parameters for heat generation technologies, including capital and operational costs, fuel price projections, and emissions factors.   - Hotmaps Dispatch: Includes detailed demand profiles, projected electricity prices, and the supply temperature requirements essential for dispatch simulations.

2. Results Folder: This folder contains the results generated by each tool after processing the input data:   - GIS: Outputs optimized paths for network expansion and geospatial mapping of UEH sources.   -OSeMOSYS: Contains projections for DHS technology adoption, emissions reduction, and cost optimization over a 23-year model period.   - Hotmaps Dispatch: Stores dispatch model results under various electricity pricing and temperature scenarios, capturing the optimal deployment of DHS resources.

Summary of Tools Used

- GIS (Geospatial Information System): Used to locate UEH sources and map their proximity to the existing DHS network, guiding the optimization of network expansions.- OSeMOSYS (Open Source Energy Modelling System): Performs long-term optimization for the DHS, factoring in the addition of UEH sources, electricity price scenarios, and emissions constraints.- Hotmaps Dispatch Model: Simulates operational dispatch of heat generation technologies in response to varying electricity prices and network temperatures, providing insights into real-time heat supply optimization.

This repository thus provides a comprehensive dataset to support the techno-economic and spatial analysis of DHS, facilitating the integration of UEH sources in urban heating systems through scenario-based optimizations.
DOI: 10.1285/i11211156a37n2p113
title: Note e discussioni
DOI: 10.1285/i11211156a37n2p115
title: Il regno, il principato, l'Adriatico (Secc. XII-XV). Giornate internazionali di studio in ricordo di Andrea Kiesewetter Napoli – Santa Maria Capua Vetere – Lecce 5-6-7 ottobre 2022
DOI: 10.5281/zenodo.13256006
title: ECMWF/ENS - 2021 - Great Britain

description: Dataset of ensemble Numerical Weather Predictions used as input for the probabilistic wind power forecasting tool developed for the paper: Seamless short- to mid-term probabilistic wind power forecasting.
description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.

 

The dataset contains operational forecasts for the base times of 00 UCT and 12 UTC for 2021. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.grib pattern.

 

The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: 10 metre U wind component, 10 metre V wind component, 2 metre temperature, 2 metre dewpoint temperature, total column water, mean sea level pressure, surface net solar radiation, total cloud cover, and total precipitation.
DOI: 10.5281/zenodo.13256007
title: ECMWF/ENS - 2021 - Great Britain

description: Dataset of ensemble Numerical Weather Predictions used as input for the probabilistic wind power forecasting tool developed for the paper: Seamless short- to mid-term probabilistic wind power forecasting.
description: The Dataset ECMWF-ENS is licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) and is subject to ECMWF terms of use. It contains the numerical weather operational forecasts related to the ensemble model ENS  provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The data was downloaded from the TIGGE archive using the ECMWF Web API.

 

The dataset contains operational forecasts for the base times of 00 UCT and 12 UTC for 2021. Each file is related to a base time date and is organized in folders according to the base time year. The files are in NetCDF format and are named according to the tigge-GB_<base time date in yyyymmddHH>.grib pattern.

 

The files comprise the latitudes from 50º to 59.5º and the longitudes from -8º to 3.5º. They contain the following single-level variables: 10 metre U wind component, 10 metre V wind component, 2 metre temperature, 2 metre dewpoint temperature, total column water, mean sea level pressure, surface net solar radiation, total cloud cover, and total precipitation.
DOI: 10.15468/dl.gtx7b2
title: Occurrence Download

description: A dataset containing 780288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arrhenatherum elatius (L.) P.Beauv. ex J.Presl & C.Presl)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 780288 records from 3436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014271-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddfpba
title: Occurrence Download

description: A dataset containing 227861 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Simaroubaceae)"
 ]
}

 The dataset includes 227861 records from 2060 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020536-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/shkp-fs60
title: National Coral Reef Monitoring Program: Orthorectified mosaic images of a coral reef in Flower Garden Banks National Marine Sanctuary collected on 2022-10-04 to 2022-10-05 (NCEI Accession 0287051)

description: This dataset contains landscape mosaic images, created as a product for the NOAA Coral Reef Conservation Program’s (CRCP) National Coral Reef Monitoring Program (NCRMP). Orthorectified mosaic images of six reef plots were captured of a coral reef in East Flower Garden Banks National Marine Sanctuary. Each reef plot is made up of a 10m x 10m transect area (100 m2). Landscape mosaics are a composite of many underwater images stitched together. These mosaics have the clarity and pixel size of the individual pictures but collectively produce a “landscape view” of the coral reef community within each transect. A scuba diver holds the mosaic rig, containing two separate cameras, above the transect while swimming in a lawnmower pattern creating a crosshatching design. The diver takes these underwater images about one to two meters above the seabed at a rate of one image per second per camera. This swimming technique allows the mosaic rig to gather 1500-3000 images which are then merged into a single “landscape mosaic image” file via Agisoft Photoscan® software. A total of six TIFF (.tif) files are included in this dataset, one TIFF file corresponds to one reef transect plot area.
DOI: 10.15468/dl.36q5du
title: Occurrence Download

description: A dataset containing 1665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (Africa, Asia, Europe)",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Continent derived from coordinates, Country derived from coordinates, Occurrence status inferred from individual count)",
 "Month is one of (April, May, June, July, August, September)",
 "OccurrenceStatus is Present",
 "TaxonKey is Crex crex",
 "Year 1900-1990"
 ]
}

 The dataset includes 1665 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025620-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vuw8w
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kogia sima)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1153 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025621-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxkp7b
title: Occurrence Download

description: A dataset containing 2466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is one of (iNaturalist Research-grade Observations, India Biodiversity Portal publication grade dataset, Hymenoptera specimen database of Kyushu University, Snow Entomological Museum Collection, NMNH Extant Specimen Records (USNM, US), Illinois Natural History Survey Insect Collection, C.P. Gillette Museum of Arthropod Diversity, Earth Guardians Weekly Feed, International Barcode of Life project (iBOL), INSDC Sequences)",
 "TaxonKey is Apis dorsata",
 "Year 1924-2024"
 ]
}

 The dataset includes 2466 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025623-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75vgkr
title: Occurrence Download

description: A dataset containing 2129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus virgata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2129 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025622-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aap7fb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tirucalli",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025625-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkdn9m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tirucalli",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025624-250920141307145/datasets/export for details.
DOI: 10.15468/dl.gpxfy7
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tirucalli",
 "Country is Saudi Arabia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 561 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025626-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9ehgb
title: Occurrence Download

description: A dataset containing 5840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lagarosiphon major)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5840 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025628-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcr3hg
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maclura cochinchinensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 625 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025630-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yz5e9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jatropha integerrima",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025631-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.