cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6428160
title: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)

description: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2020 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.


During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).


Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.
description: Cite as: Mariasilvia Giamberini;  Ilaria Baneschi; Mariavirginia Boiani; Maurizio Catania; Sara Lenzi; Marta Magnani; Angelica Parisi; Maddalena Pennisi; Brunella Raco; Gianna Vivaldo; Antonello Provenzale (2022). CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET [Data set]. DOI: 10.5281/zenodo.6428161
DOI: 10.5281/zenodo.6428161
title: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)

description: CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2020 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.


During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).


Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.
description: Cite as: Mariasilvia Giamberini;  Ilaria Baneschi; Mariavirginia Boiani; Maurizio Catania; Sara Lenzi; Marta Magnani; Angelica Parisi; Maddalena Pennisi; Brunella Raco; Gianna Vivaldo; Antonello Provenzale (2022). CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET [Data set]. DOI: 10.5281/zenodo.6428161
DOI: 10.5281/zenodo.10987637
title: Telegram_Italian_NoVax

description: Data obtained through telegram API on the Italian "Put Down the Covid mask" group. Data have been anonymized for privacy. The group itself no longer exists, after it was shut down by the administrator himself. 

Variables present:Interaction_IDAcc_IDTextTimeReactionReply

 

Accout used for deradicalisation are:297039477475318812476878
DOI: 10.5281/zenodo.10987636
title: Telegram_Italian_NoVax

description: Data obtained through telegram API on the Italian "Put Down the Covid mask" group. Data have been anonymized for privacy. The group itself no longer exists, after it was shut down by the administrator himself. 

Variables present:Interaction_IDAcc_IDTextTimeReactionReply

 

Accout used for deradicalisation are:297039477475318812476878
DOI: 10.5281/zenodo.10708552
title: Real testing sets for Visual Affordance Segmentation of hand-occluded objects

description: [arXiv] [webpage] [code] [trained model][mixed-reality data]

RGB images with the corresponding affordance annotation to test affordance segmentation models. Images are selected from two datasets for hand-object pose estimation: HO-3D and CCM.

For HO3D we selected 150 frames from the dataset and enriched the annotation of the hand and object segmentation masks with new annotations specific for the affordance segmentation problem.

For CCM we selected 150 frames from the dataset and created the annotation specific for the affordance segmentation problem. The forearms and hands in contact with the offered container are annotated. 

File names are formatted as: <videoname>_<framenumber>.png

Segmentation classes values:



 0: background

 1: graspable

 2: contain

 3: arm


 

References. 

Affordance segmentation of hand-occluded containers from exocentric imagesT. Apicella, A. Xompero, E. Ragusa, R. Berta, A. Cavallaro, P. GastaldoIEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023

@inproceedings{apicella2023affordance,
  title={Affordance segmentation of hand-occluded containers from exocentric images},
  author={Apicella, Tommaso and Xompero, Alessio and Ragusa, Edoardo and Berta, Riccardo and Cavallaro, Andrea and Gastaldo, Paolo},
  booktitle={IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  year={2023},
}


HOnnotate: A method for 3D Annotation of Hand and Objects PosesS. Hampali, M. Rad, M. Oberweger, V. LepetitIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

@inproceedings{hampali2020honnotate,
  title={Honnotate: A method for 3d annotation of hand and object poses},
  author={Hampali, Shreyas and Rad, Mahdi and Oberweger, Markus and Lepetit, Vincent},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3196--3206},
  year={2020}
}

CORSMAL Containers Manipulation (1.0) [Data set]A. Xompero, R. Sanchez-Matilla, R. Mazzon, and A. CavallaroQueen Mary University of London. https://doi.org/10.17636/101CORSMAL1

 

License. Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Enquiries, Question and Comments. For enquiries, questions, or comments, please contact Tommaso Apicella.
DOI: 10.5281/zenodo.10708553
title: Real testing sets for Visual Affordance Segmentation of hand-occluded objects

description: [arXiv] [webpage] [code] [trained model][mixed-reality data]

RGB images with the corresponding affordance annotation to test affordance segmentation models. Images are selected from two datasets for hand-object pose estimation: HO-3D and CCM.

For HO3D we selected 150 frames from the dataset and enriched the annotation of the hand and object segmentation masks with new annotations specific for the affordance segmentation problem.

For CCM we selected 150 frames from the dataset and created the annotation specific for the affordance segmentation problem. The forearms and hands in contact with the offered container are annotated. 

File names are formatted as: <videoname>_<framenumber>.png

Segmentation classes values:



 0: background

 1: graspable

 2: contain

 3: arm


 

References. 

Affordance segmentation of hand-occluded containers from exocentric imagesT. Apicella, A. Xompero, E. Ragusa, R. Berta, A. Cavallaro, P. GastaldoIEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023

@inproceedings{apicella2023affordance,
  title={Affordance segmentation of hand-occluded containers from exocentric images},
  author={Apicella, Tommaso and Xompero, Alessio and Ragusa, Edoardo and Berta, Riccardo and Cavallaro, Andrea and Gastaldo, Paolo},
  booktitle={IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  year={2023},
}


HOnnotate: A method for 3D Annotation of Hand and Objects PosesS. Hampali, M. Rad, M. Oberweger, V. LepetitIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

@inproceedings{hampali2020honnotate,
  title={Honnotate: A method for 3d annotation of hand and object poses},
  author={Hampali, Shreyas and Rad, Mahdi and Oberweger, Markus and Lepetit, Vincent},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3196--3206},
  year={2020}
}

CORSMAL Containers Manipulation (1.0) [Data set]A. Xompero, R. Sanchez-Matilla, R. Mazzon, and A. CavallaroQueen Mary University of London. https://doi.org/10.17636/101CORSMAL1

 

License. Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Enquiries, Question and Comments. For enquiries, questions, or comments, please contact Tommaso Apicella.
DOI: 10.6084/m9.figshare.26968957
title: Supplementary material to "Faecal metagenomes of great tits and blue tits provide insights into host, diet, pathogens and microbial biodiversity"

description: Tables describing analysis of faecal metagenomes of great tits and blue tits
DOI: 10.6084/m9.figshare.26968957.v1
title: Supplementary material to "Faecal metagenomes of great tits and blue tits provide insights into host, diet, pathogens and microbial biodiversity"

description: Tables describing analysis of faecal metagenomes of great tits and blue tits
DOI: 10.5281/zenodo.6459502
title: Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)

description: Data stored here refer to Eddy Covariance (EC) data measured in 2021 at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. 


Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.


Measured parameters: Net vertical turbulent CO2 flux (µmol+1s-1m-2); air temperature (deg_C), air relative humidity (%), wind speed (m+1s-1), max wind speed (m+1s-1), wind direction (deg_from_north).


Method: The EC station respects both sensors and data processing standards defined by the ICOS community. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters are obtained by aggregating over a 3-hours time span. The associated measurement time (column B in the uploaded file) indicates the beginning of the 3-hours averaging period (es. Time T= [Time T; Time T+2h30 min]).


Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). 


Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).
description: Cite as: Gianna Vivaldo, Ilaria Baneschi, Virginia Boiani, Maurizio Catania, Mariasilvia Giamberini, Sara Lenzi, Marta Magnani, Brunella Raco, Angelica Parisi, Maddalena Pennisi, Antonello Provenzale. (2022). Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET) (1.0) [Data set]. DOI: 10.5281/zenodo.6459503
DOI: 10.5281/zenodo.6459503
title: Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)

description: Data stored here refer to Eddy Covariance (EC) data measured in 2021 at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. 


Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.


Measured parameters: Net vertical turbulent CO2 flux (µmol+1s-1m-2); air temperature (deg_C), air relative humidity (%), wind speed (m+1s-1), max wind speed (m+1s-1), wind direction (deg_from_north).


Method: The EC station respects both sensors and data processing standards defined by the ICOS community. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters are obtained by aggregating over a 3-hours time span. The associated measurement time (column B in the uploaded file) indicates the beginning of the 3-hours averaging period (es. Time T= [Time T; Time T+2h30 min]).


Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). 


Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).
description: Cite as: Gianna Vivaldo, Ilaria Baneschi, Virginia Boiani, Maurizio Catania, Mariasilvia Giamberini, Sara Lenzi, Marta Magnani, Brunella Raco, Angelica Parisi, Maddalena Pennisi, Antonello Provenzale. (2022). Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET) (1.0) [Data set]. DOI: 10.5281/zenodo.6459503
DOI: 10.6084/m9.figshare.26955676
title: ODP 1143 上的 K/Al 比值、Hf 同位素和粘土矿物含量

description: We collected splits from 1886 samples at 10 cm intervals for K and Al measurement. These samples were retrieved from ODP Site 1143, characterized by a core sediment composed of homogeneous hemipelagic fine-grained terrigenous materials and biogenic nannofossil carbonate ooze. Among these samples, 37 were earmarked for Hf isotope analysis, and 184 were allocated for clay mineral analysis. We determined the age of each sample through interpolation, utilizing an astronomically calibrated timescale from the same hole(Tian et al., 2002). All samples were dried at 60 ℃ in an oven and ~4 g samples were used and crushed into powder &lt;200 mesh for K and Al measurements. The concentrations of K and Al were determined by X-ray fluorescence (XRF) using an Axios advanced PW4400. All analyses were conducted under the control of standards with relative standard deviation less than 5 %. To analyze Hf isotopes, the organic matter and carbonates from the sample were individually removed using excess hydrogen peroxide (30%) and 1 M acetic acid for 8 h. Then 100 mg of the sample was dissolved in a HF–HNO3 acid mixture at 120 °C for more than 72 h on a hot plate. Once dissolved, established ion exchange procedures were employed. The Hf isotopic compositions were determined using a Neptune plus (Thermo Finnigan) multicollector inductively-coupled plasma mass spectrometry (MC-ICP-MS). Clay minerals were identified by X-ray diffraction (XRD) on oriented mounts of decalcified clay-sized particles (&lt;2 μm). The deflocculation of clays was performed by successive washing with distilled water after decarbonation with 1 M acetic acid. XRD spectra were obtained using a Rigaku D/max-rA diffractometer with Cu-Kα radiation, a voltage of 40 kV, and an intensity of 25 mA. Samples were scanned with the goniometer from 3° to 36° 2θ under air-dried conditions. Identification of clay minerals was made mainly according to the position of the (001) series of basal reflections on the XRD spectra.
DOI: 10.15468/dl.d9jgru
title: Occurrence Download

description: A dataset containing 167621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Potamopyrgus antipodarum (J.E.Gray, 1843)"
 ]
}

 The dataset includes 167621 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010115-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5skera
title: Occurrence Download

description: A dataset containing 13053465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13053465 records from 3233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010129-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pi87d
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Nepal",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0",
 "License is CC-BY-NC 4.0"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Aegypius monachus (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003389-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p25nfr
title: Occurrence Download

description: A dataset containing 17747 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sardinella aurita Valenciennes, 1847"
 ]
}

 The dataset includes 17747 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080548-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thbw6n
title: Occurrence Download

description: A dataset containing 18102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Insect collection of Itami City Museum of Insects"
 ]
}

 The dataset includes 18102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043110-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjq9ik
title: Occurrence Download

description: A dataset containing 41313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Saltator coerulescens",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41313 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003389-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3qv7e
title: Occurrence Download

description: A dataset containing 6643 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphelocoma ultramarina (Bonaparte, 1825)"
 ]
}

 The dataset includes 6643 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048200-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp5kbm
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.263 47.724,-90 47.724,-90 51.886,-95.263 51.886,-95.263 47.724))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picoides arcticus (Swainson, 1832)",
 "Year 2005-2015"
 ]
}

 The dataset includes 297 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078192-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ljpyr
title: Occurrence Download

description: A dataset containing 12122771 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Costa Rica"
 ]
}

 The dataset includes 12122771 records from 869 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003389-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chs8ch
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampropeltis alterna (Brown, 1901)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 2020",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 273 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109089-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2ut7n
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Epimedium koreanum Nakai, Epimedium pubescens Maxim., Epimedium brevicornu Maxim., Epimedium sagittatum (Siebold & Zucc.) Maxim.)"
 ]
}

 The dataset includes 964 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162503-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.