cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23728/b2share.c10fb73cc9a744268832722540d0f0f7
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: PM10 in 2015 (08h CET) (interpolated GeoTIFF)

description: GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of PM10 during 2015, aggregated by hour (08h CET).
DOI: 10.23728/b2share.141d8e9b57344304824abb9306c97eec
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: PM10 in 2015 (08h CET) (clipped GeoTIFF)

description: Clipped GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of PM10 during 2015, aggregated by hour (08h CET).
DOI: 10.23728/b2share.de895a850be64a518a118e6406b20bc8
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2015 (09h CET) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.cc36da0102a84bc1a5625725f6b5f727
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: PM10 in 2015 (08h CET) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of PM10 during 2015, aggregated by hour (08h CET).
DOI: 10.23728/b2share.54c9434ebbee4660a4fddb305031f931
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: PM10 in 2015 (08h CET) (clipped PNG)

description: PNG image representing clipped interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of PM10 during 2015, aggregated by hour (08h CET).
DOI: 10.23728/b2share.92635cd19e80431d9cd2a9a48fd13cee
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 at 09h CET (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.919610d47ea94b079ed5db3a23cdf8c6
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2015 (18h CET) (clipped PNG)

description: PNG image representing clipped interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2015, aggregated by hour (18h CET).
DOI: 10.23728/b2share.9cb992da0aa54af7b4236bc05823d0bb
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 (09h CET) (shapefile)

description: Shapefile including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.fe6e6e5d6d244ecdb3e9b57b76ddd493
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 (09h CET) (interpolated GeoTIFF)

description: GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.e60e722c9a894169abb3ceb0d8cd51ce
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 at 18h CET (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (18h CET).
DOI: 10.23728/b2share.4af30ebfc6ed4b1b9780811e84581897
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 (09h CET) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.5507f04074254e189162e005f0375a42
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 (09h CET) (clipped PNG)

description: PNG image representing clipped interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.72e89535d4db41a1b198d76a8491c586
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2015 (09h CET) (clipped GeoTIFF)

description: Clipped GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.5281/zenodo.7886191
title: A dataset on in-situ electromagnetic wave integrity control of selective laser fusion printed parts using Machine Learning

description: DeepSLM Dataset

This dataset contains signals from metal parts printed in 3D using SLM (Selective laser melting) technology, produced as part of the DeepSLM project: In-situ monitoring of Selective-Laser-Melted Ti6Al4V Parts Using Eddy Current Testing and Machine Learning.

Sensor and data collection

An impedance-based non-destructive testing device is installed on the LPBF coating device. It is in the form of sensors with the following characteristics:

Spectrum of analysis of the sensors



Minimal length: 3-5 mm

Minimal width acquisition: 2-3 mm (Without borders effects)

Minimal number of layers: 50 layers

Signal minimal penetration depth (TiAl6V4/875kHz) = 1.5 mm


The sensors record the signal during printing, while simultaneously sending it to a computer via Bluetooth. The signals are first stored in the database. Next, a dataset is constructed from the extracted signals related to each part, and from the  added semi-automatic annotations which describe the porosity of the part and layers.

Annotations

In the annotation process, there are 2 different types of labels and a metadata summary for these prints:

1. Archimedean porosity measurement for the whole part2. Layer porosity obtained after image processing applied on the resulting metallography images3. Print-related metadata such as print parameters, part dimensions, layer thickness, etc

Size: 66 partsSet of printing parameters: 250

 --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Dataset organization

The dataset is composed of 7 different printings and is organized as follows:- signals: contains collected signals- metallography: contains porosity extracted by metallography- archimedean: contains porosity extracted by archimedean weighing- metallography-images: contains metallography process images- metadata.csv: contains print metadata (print parameter, part name, strategy, etc.)

Each printed part has a unique ID ranging from 0 to 65. Each sub-part has an ID which is the ID of the base part suffixed with the sub-part position: 14_1 is the first sub-part of part 14. This nomenclature is uniform throughout the dataset.

The README.md file in the dataset provides more detailed information on the structure of the dataset and the format of each of the files making up the dataset.

 

Relative article

https://doi.org/10.1007/978-3-031-47784-3_18

Sallem, H., Ghorbel, H., Goffinet, E., Cinna, A., Pralong, J., Wicht, J., & Revaz, B. (2023, May). In-Situ Monitoring of Selective Laser Melted Ti–6Al–4V Parts Using Eddy Current Testing and Machine Learning. In Advances In Additive Manufacturing Conference (pp. 139-148). Cham: Springer Nature Switzerland.
description: Granted by University of Applied Sciences and Arts of Western Switzerland (HES-SO)
DOI: 10.5281/zenodo.7886192
title: A dataset on in-situ electromagnetic wave integrity control of selective laser fusion printed parts using Machine Learning

description: DeepSLM Dataset

This dataset contains signals from metal parts printed in 3D using SLM (Selective laser melting) technology, produced as part of the DeepSLM project: In-situ monitoring of Selective-Laser-Melted Ti6Al4V Parts Using Eddy Current Testing and Machine Learning.

Sensor and data collection

An impedance-based non-destructive testing device is installed on the LPBF coating device. It is in the form of sensors with the following characteristics:

Spectrum of analysis of the sensors



Minimal length: 3-5 mm

Minimal width acquisition: 2-3 mm (Without borders effects)

Minimal number of layers: 50 layers

Signal minimal penetration depth (TiAl6V4/875kHz) = 1.5 mm


The sensors record the signal during printing, while simultaneously sending it to a computer via Bluetooth. The signals are first stored in the database. Next, a dataset is constructed from the extracted signals related to each part, and from the  added semi-automatic annotations which describe the porosity of the part and layers.

Annotations

In the annotation process, there are 2 different types of labels and a metadata summary for these prints:

1. Archimedean porosity measurement for the whole part2. Layer porosity obtained after image processing applied on the resulting metallography images3. Print-related metadata such as print parameters, part dimensions, layer thickness, etc

Size: 66 partsSet of printing parameters: 250

 --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Dataset organization

The dataset is composed of 7 different printings and is organized as follows:- signals: contains collected signals- metallography: contains porosity extracted by metallography- archimedean: contains porosity extracted by archimedean weighing- metallography-images: contains metallography process images- metadata.csv: contains print metadata (print parameter, part name, strategy, etc.)

Each printed part has a unique ID ranging from 0 to 65. Each sub-part has an ID which is the ID of the base part suffixed with the sub-part position: 14_1 is the first sub-part of part 14. This nomenclature is uniform throughout the dataset.

The README.md file in the dataset provides more detailed information on the structure of the dataset and the format of each of the files making up the dataset.

 

Relative article

https://doi.org/10.1007/978-3-031-47784-3_18

Sallem, H., Ghorbel, H., Goffinet, E., Cinna, A., Pralong, J., Wicht, J., & Revaz, B. (2023, May). In-Situ Monitoring of Selective Laser Melted Ti–6Al–4V Parts Using Eddy Current Testing and Machine Learning. In Advances In Additive Manufacturing Conference (pp. 139-148). Cham: Springer Nature Switzerland.
description: Granted by University of Applied Sciences and Arts of Western Switzerland (HES-SO)
DOI: 10.15468/dl.7d6nj3
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium cardamine L."
 ]
}

 The dataset includes 539 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043063-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.e4fec77132e54fe88612392854a37f3e
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: O3 in 2015 (09h CET) (interpolated GeoTIFF)

description: GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of ozone during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.3de4bb76459845899f883731f32b0d5c
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2015 (11h CET) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2015, aggregated by hour (11h CET).
DOI: 10.23728/b2share.6ffc0e3ac21445528460042573605920
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 at 09h CET (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.15468/dl.c9nsmm
title: Occurrence Download

description: A dataset containing 2863 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium candidum L."
 ]
}

 The dataset includes 2863 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043064-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.2bdf6083b4e14b84a596c4c0199b9b39
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 (09h CET) (shapefile)

description: Shapefile including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.9666c6c6e52a46e593b3e5195f8653b0
title: Adulam (ADM) - Regional climate model data from EURO-CORDEX for the eLTER project

description: The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different greenhouse gas concentration trajectories, the representative concentration pathways (RCPs: RCP2.6 (6), RCP4.5 (14) and RCP8.5 (14)). The datasets cover the following, non-bias adjusted variables: tas = near-surface air temperature [degC], tasmin = daily minimum near-surface air temperature [degC], tasmax = daily minimum near-surface air temperature [degC], pr = precipitation sum [mm day-1], psl = mean sea level pressure [Pa], huss = near-surface specific humidity [kg kg-1], rsds = surface downwelling shortwave radiation [W m-2], and sfcWind = near-surface wind speed [m s-1] in txt and netCDF data format at daily, monthly and yearly temporal resolution. Each ZIP-file data package contains the data file as well as an extensive disclaimer with additional information.
DOI: 10.23728/b2share.6e29924101814b0790420d932ed3b32d
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 (09h CET) (interpolated GeoTIFF)

description: GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.3ecc7a67124a430181c302a957b19d96
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 (09h CET) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.c3da6128891b404a9f087a9c3af470e8
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 (09h CET) (clipped GeoTIFF)

description: Clipped GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.f776cebe6a09480785ccb8546005c047
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO2 in 2015 (09h CET) (clipped PNG)

description: PNG image representing clipped interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen dioxide during 2015, aggregated by hour (09h CET).
DOI: 10.6084/m9.figshare.25483297
title: SI File.pdf

description: Biopolymers composed of polysaccharides are often used in various fields to either fully or partially replace synthetic polymers. Chitosan (CS), a linear polysaccharide, is mostly used in the field of packaging and medicine. The objective of this research was to investigate the feasibility of CS and poly(allylamine ‎hydrochloric acid) (PAH) blend films in terms of color, the presence of functional groups, ‎morphology, thermal stability, tensile strength (TS), and biodegradability for food packaging ‎applications. Four films namely, CPA-0 (100% CS), CPA-1 (90% CS/10% PAH), CPA-2 (80% CS/20% PAH), and CPA-3 (70% CS/30% PAH) were prepared and characterized. The films were characterized using UV/Vis, FT-IR, XRD, and DSC. The physical properties (grammage, thickness, density, and water solubility), optical properties (color and opacity), moisture barrier properties (WVTR and WVP), mechanical strength (% elongation, TS, and YM), thermal characteristics, and biodegradability were investigated to assess the potential of prepared films for their utilization in food packaging applications. It was observed that the film comprising 10% PAH (CPA-1) displayed relatively better mechanical properties, thermal stability, promising moisture barrier, biodegradability (100% within 14 days), and good color tones. CPA-1 exhibited maximum values of TS (83.62 MPa) and YM (2.9 GPa). UV/Visible spectroscopy showed that CPA-1 exhibited 80% transmittance in the visible region. DSC analysis indicated that CPA-1 exhibited an endothermic peak at a relatively high temperature of 130 °C, suggesting enhanced molecular stability of the CS matrix upon the addition of PAH. The results of the XRD analysis revealed a semi-crystalline structure featuring an orderly arrangement of the polymer, which was instrumental in imparting good mechanical properties. This study may pave the way for new possibilities in utilizing blend films as a viable option for food packaging.,
DOI: 10.6084/m9.figshare.25483297.v1
title: SI File.pdf

description: Biopolymers composed of polysaccharides are often used in various fields to either fully or partially replace synthetic polymers. Chitosan (CS), a linear polysaccharide, is mostly used in the field of packaging and medicine. The objective of this research was to investigate the feasibility of CS and poly(allylamine ‎hydrochloric acid) (PAH) blend films in terms of color, the presence of functional groups, ‎morphology, thermal stability, tensile strength (TS), and biodegradability for food packaging ‎applications. Four films namely, CPA-0 (100% CS), CPA-1 (90% CS/10% PAH), CPA-2 (80% CS/20% PAH), and CPA-3 (70% CS/30% PAH) were prepared and characterized. The films were characterized using UV/Vis, FT-IR, XRD, and DSC. The physical properties (grammage, thickness, density, and water solubility), optical properties (color and opacity), moisture barrier properties (WVTR and WVP), mechanical strength (% elongation, TS, and YM), thermal characteristics, and biodegradability were investigated to assess the potential of prepared films for their utilization in food packaging applications. It was observed that the film comprising 10% PAH (CPA-1) displayed relatively better mechanical properties, thermal stability, promising moisture barrier, biodegradability (100% within 14 days), and good color tones. CPA-1 exhibited maximum values of TS (83.62 MPa) and YM (2.9 GPa). UV/Visible spectroscopy showed that CPA-1 exhibited 80% transmittance in the visible region. DSC analysis indicated that CPA-1 exhibited an endothermic peak at a relatively high temperature of 130 °C, suggesting enhanced molecular stability of the CS matrix upon the addition of PAH. The results of the XRD analysis revealed a semi-crystalline structure featuring an orderly arrangement of the polymer, which was instrumental in imparting good mechanical properties. This study may pave the way for new possibilities in utilizing blend films as a viable option for food packaging.,
DOI: 10.15468/dl.ag5kdu
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindernia madagascariensis (Bonati) Eb.Fisch., Schäferh. & Kai Müll."
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043067-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.d1d230d64f234169a2284768fe8a15b3
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO in 2015 at 09h CET (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen monoxide during 2015, aggregated by hour (09h CET).
DOI: 10.23728/b2share.a685133b07db4834b90c808a390c46eb
title: Gilat (GLT), LTSER Northen Negev - Regional climate model data from EURO-CORDEX for the eLTER project

description: The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different greenhouse gas concentration trajectories, the representative concentration pathways (RCPs: RCP2.6 (6), RCP4.5 (14) and RCP8.5 (14)). The datasets cover the following, non-bias adjusted variables: tas = near-surface air temperature [degC], tasmin = daily minimum near-surface air temperature [degC], tasmax = daily minimum near-surface air temperature [degC], pr = precipitation sum [mm day-1], psl = mean sea level pressure [Pa], huss = near-surface specific humidity [kg kg-1], rsds = surface downwelling shortwave radiation [W m-2], and sfcWind = near-surface wind speed [m s-1] in txt and netCDF data format at daily, monthly and yearly temporal resolution. Each ZIP-file data package contains the data file as well as an extensive disclaimer with additional information.
DOI: 10.23728/b2share.d4a8904490ad4806b417badff0c6c414
title: Bialowieza National Park - Regional climate model data from EURO-CORDEX for the eLTER project

description: The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different greenhouse gas concentration trajectories, the representative concentration pathways (RCPs: RCP2.6 (6), RCP4.5 (14) and RCP8.5 (14)). The datasets cover the following, non-bias adjusted variables: tas = near-surface air temperature [degC], tasmin = daily minimum near-surface air temperature [degC], tasmax = daily minimum near-surface air temperature [degC], pr = precipitation sum [mm day-1], psl = mean sea level pressure [Pa], huss = near-surface specific humidity [kg kg-1], rsds = surface downwelling shortwave radiation [W m-2], and sfcWind = near-surface wind speed [m s-1] in txt and netCDF data format at daily, monthly and yearly temporal resolution. Each ZIP-file data package contains the data file as well as an extensive disclaimer with additional information.