cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/zaucgl/tn2mds
title: Marzo_1921_Pagina_170.jpg

description: Bulletin of 1921/03/29
DOI: 10.13130/rd_unimi/zaucgl/4osiqj
title: Marzo_1921_Pagina_171.jpg

description: Bulletin of 1921/03/29
DOI: 10.13130/rd_unimi/zaucgl/xpvigq
title: Marzo_1921_Pagina_172.jpg

description: Bulletin of 1921/03/29
DOI: 10.13130/rd_unimi/zaucgl/hstvts
title: Marzo_1921_Pagina_173.jpg

description: Bulletin of 1921/03/29
DOI: 10.13130/rd_unimi/zaucgl/uvfvxn
title: Marzo_1921_Pagina_174.jpg

description: Bulletin of 1921/03/29
DOI: 10.13130/rd_unimi/zaucgl/ebtbhg
title: Marzo_1921_Pagina_175.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/flddda
title: Marzo_1921_Pagina_177.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/t1vmty
title: Marzo_1921_Pagina_176.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/vakrrv
title: Marzo_1921_Pagina_178.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/kkfa8p
title: Marzo_1921_Pagina_179.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/ofkflo
title: Marzo_1921_Pagina_180.jpg

description: Bulletin of 1921/03/30
DOI: 10.13130/rd_unimi/zaucgl/vrvylr
title: Marzo_1921_Pagina_181.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/jshoaq
title: Marzo_1921_Pagina_182.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/sicps9
title: Marzo_1921_Pagina_183.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/v5p7sq
title: Marzo_1921_Pagina_184.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/kmxxe2
title: Marzo_1921_Pagina_186.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/sc4qzw
title: Marzo_1921_Pagina_185.jpg

description: Bulletin of 1921/03/31
DOI: 10.13130/rd_unimi/zaucgl/qnhfqf
title: Novembre_1921_Pagina_001.jpg

description: Bulletin of 1921/11/01
DOI: 10.13130/rd_unimi/zaucgl/fuw7th
title: Novembre_1921_Pagina_002.jpg

description: Bulletin of 1921/11/01
DOI: 10.15468/dl.bq36ic
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.57 28.6488,105.488 28.6488,105.488 30.453,107.551 30.453,107.551 29.7862,107.551 28.6488,106.57 28.6488))",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 }
 ]
}

 The dataset includes 322 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081447-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ozrbin
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "or" : [
 "ScientificName is Pimpinella × subnigra Tzvelev",
 "ScientificName is Pimpinella × subnigra",
 "ScientificName is Pimpinella x subnigra",
 "ScientificName is Pimpinella x subnigra Tzvelev",
 "ScientificName is Pimpinella xsubnigra Tzvelev",
 "ScientificName is Pimpinella subnigra Tzvelev"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004855-160803222355964/datasets/export for details.
DOI: 10.15468/dl.zwc7s6
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Germany, Switzerland)",
 "TaxonKey is Scolytus scolytus (J.C.Fabricius, 1775)"
 ]
}

 The dataset includes 345 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061603-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.el0yvm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "or" : [
 "ScientificName is × Sydneya india Traub",
 "ScientificName is × Sydneya india",
 "ScientificName is x Sydneya india",
 "ScientificName is × Sydneya india Traub",
 "ScientificName is × Sydneya india Traub",
 "ScientificName is × Sydneya india Traub"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004860-160803222355964/datasets/export for details.
DOI: 10.15468/dl.hhjslu
title: Occurrence Download

description: A dataset containing 63680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-80.70517 35.86204,-72.89257 35.86204,-74.14116 44.34677,-78.95889 43.56551,-80.70517 35.86204))",
 "HasCoordinate is true",
 "TaxonKey is Fungi",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 63680 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009317-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tamcfv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "or" : [
 "ScientificName is Pachypodium × hojnyi Halda",
 "ScientificName is Pachypodium × hojnyi",
 "ScientificName is Pachypodium x hojnyi",
 "ScientificName is Pachypodium x hojnyi Halda",
 "ScientificName is Pachypodium xhojnyi Halda",
 "ScientificName is Pachypodium hojnyi Halda"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004873-160803222355964/datasets/export for details.
DOI: 10.15468/dl.uwfenq
title: Occurrence Download

description: A dataset containing 879652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Byblidaceae, Cephalotaceae, Droseraceae, Drosophyllaceae, Lentibulariaceae, Nepenthaceae, Sarraceniaceae)"
 ]
}

 The dataset includes 879652 records from 1714 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061607-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp46nt
title: Occurrence Download

description: A dataset containing 18771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February, March, April, November, December)",
 "TaxonKey is Zea mays L.",
 "Year 1994-2024"
 ]
}

 The dataset includes 18771 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063745-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.1301495
title: Spatial and seasonal variations of CO<sub>2</sub> flux and photosynthetic and respiratory parameters of larch forests in East Asia

description: Larch (<i>Larix spp</i>.) forests are predominantly distributed across high latitudes of Eurasia. They potentially have a strong influence on the terrestrial carbon and energy cycles, because of their vast area and the large carbon stocks in their peat soils in the permafrost. In this study, we elucidated intersite variation of ecosystem photosynthetic and respiratory parameters of eight larch forests in East Asia using the CarboEastAsia carbon flux and micrometeorology dataset. These parameters were determined using the empirical relationship between the carbon fluxes (photosynthesis and respiration) and micrometeorological variables (light and temperature). In addition, we examined leaf area index (LAI) determined by Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data to explain the intersite variation. Linear or exponential relationships with annual mean temperature or seasonal maximum LAI at the study sites were found for the annual carbon fluxes (gross primary production [GPP] and total ecosystem respiration [RE]) as well as for four of the five seasonal maximum values of determined photosynthetic and respiratory parameters (maximum GPP at light saturation, initial slope of the light-response curve, daytime respiration, and RE at the reference temperature of 10°C). Phenological indices, such as start day of the growing season, growing season length and growing season degree days explained much of the intersite variation of GPP and RE of the studied larch forests; however, the relationship between MODIS LAI and photosynthetic or respiratory parameters implies that the intersite variation in GPP and RE was caused not only by the temperature variation (abiotic factor), but also by the variation in the photosynthetic and respiration activity by vegetation (biotic factor) through the change in leaf (or whole vegetation) biomass. Our analysis shows that MODIS LAI serves as a good index to explain the variation of the ecosystem photosynthetic and respiratory characteristics of East Asian larch forests.
DOI: 10.6084/m9.figshare.1301495.v1
title: Spatial and seasonal variations of CO<sub>2</sub> flux and photosynthetic and respiratory parameters of larch forests in East Asia

description: Larch (<i>Larix spp</i>.) forests are predominantly distributed across high latitudes of Eurasia. They potentially have a strong influence on the terrestrial carbon and energy cycles, because of their vast area and the large carbon stocks in their peat soils in the permafrost. In this study, we elucidated intersite variation of ecosystem photosynthetic and respiratory parameters of eight larch forests in East Asia using the CarboEastAsia carbon flux and micrometeorology dataset. These parameters were determined using the empirical relationship between the carbon fluxes (photosynthesis and respiration) and micrometeorological variables (light and temperature). In addition, we examined leaf area index (LAI) determined by Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data to explain the intersite variation. Linear or exponential relationships with annual mean temperature or seasonal maximum LAI at the study sites were found for the annual carbon fluxes (gross primary production [GPP] and total ecosystem respiration [RE]) as well as for four of the five seasonal maximum values of determined photosynthetic and respiratory parameters (maximum GPP at light saturation, initial slope of the light-response curve, daytime respiration, and RE at the reference temperature of 10°C). Phenological indices, such as start day of the growing season, growing season length and growing season degree days explained much of the intersite variation of GPP and RE of the studied larch forests; however, the relationship between MODIS LAI and photosynthetic or respiratory parameters implies that the intersite variation in GPP and RE was caused not only by the temperature variation (abiotic factor), but also by the variation in the photosynthetic and respiration activity by vegetation (biotic factor) through the change in leaf (or whole vegetation) biomass. Our analysis shows that MODIS LAI serves as a good index to explain the variation of the ecosystem photosynthetic and respiratory characteristics of East Asian larch forests.
DOI: 10.6084/m9.figshare.1301495.v2
title: Spatial and seasonal variations of CO<sub>2</sub> flux and photosynthetic and respiratory parameters of larch forests in East Asia

description: Larch (<i>Larix spp</i>.) forests are predominantly distributed across high latitudes of Eurasia. They potentially have a strong influence on the terrestrial carbon and energy cycles, because of their vast area and the large carbon stocks in their peat soils in the permafrost. In this study, we elucidated intersite variation of ecosystem photosynthetic and respiratory parameters of eight larch forests in East Asia using the CarboEastAsia carbon flux and micrometeorology dataset. These parameters were determined using the empirical relationship between the carbon fluxes (photosynthesis and respiration) and micrometeorological variables (light and temperature). In addition, we examined leaf area index (LAI) determined by Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data to explain the intersite variation. Linear or exponential relationships with annual mean temperature or seasonal maximum LAI at the study sites were found for the annual carbon fluxes (gross primary production [GPP] and total ecosystem respiration [RE]) as well as for four of the five seasonal maximum values of determined photosynthetic and respiratory parameters (maximum GPP at light saturation, initial slope of the light-response curve, daytime respiration, and RE at the reference temperature of 10°C). Phenological indices, such as start day of the growing season, growing season length and growing season degree days explained much of the intersite variation of GPP and RE of the studied larch forests; however, the relationship between MODIS LAI and photosynthetic or respiratory parameters implies that the intersite variation in GPP and RE was caused not only by the temperature variation (abiotic factor), but also by the variation in the photosynthetic and respiration activity by vegetation (biotic factor) through the change in leaf (or whole vegetation) biomass. Our analysis shows that MODIS LAI serves as a good index to explain the variation of the ecosystem photosynthetic and respiratory characteristics of East Asian larch forests.
DOI: 10.15468/dl.nanaxu
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February, March, April, November, December)",
 "TaxonKey is Fagopyrum esculentum Moench",
 "Year 1994-2024"
 ]
}

 The dataset includes 926 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063749-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e2ur6
title: Occurrence Download

description: A dataset containing 7770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is JPN.38_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2025"
 ]
}

 The dataset includes 7770 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063751-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8y4t6
title: Occurrence Download

description: A dataset containing 215126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-0.85475 42.5658,-2.79118 42.12381,-2.83389 40.62811,-1.55243 39.80179,0.96777 40.23795,1.39493 41.23051,1.3095 42.14493,0.58333 42.57629,-0.85475 42.5658))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 215126 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063737-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9rrp2
title: Occurrence Download

description: A dataset containing 17658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February, March, April, November, December)",
 "TaxonKey is Cydonia oblonga Mill.",
 "Year 1994-2024"
 ]
}

 The dataset includes 17658 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063750-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7463346
title: Sailbuoy Iskant PolarFront EK80 echosounder datasets and sensor data 2021-05 to 2021-07

description: PolarFront 2021 sailbuoy Iskant EK80

During the arctic spring of 2021, the autonomous sailbuoy Iskant was on a 2-month long-endurance field campaign in the Barents Sea, for the PolarFront research project.

Equipped with a broadband echosounder (SIMRAD EK80 WBT Mini), the sailbuoy captured 5600 acoustic segments, each holding 5 minutes of data (Dunn, 2022). The EK80 data is published in a collection of 12 datasets with a combined size of ~500GB.

This dataset contains vehicle GPS positions/data logs, EK80 calibration file, a machine-readable list of the datasets, as well as documentation for the entire collection.

Time coverage: 2021-05-16/2021-07-13.

DatasetsList of PolarFront EK80 datasets from Sailbuoy Iskant in 2021:



2021-05-16/2021-05-21

2021-05-22/2021-05-26

2021-05-27/2021-05-31

2021-06-01/2021-06-05

2021-06-06/2021-06-10

2021-06-11/2021-06-15

2021-06-16/2021-06-20

2021-06-21/2021-06-25

2021-06-26/2021-06-30

2021-07-01/2021-07-05

2021-07-06/2021-07-10

2021-07-11/2021-07-13


Data accessThe most reliable method to obtain data of this size is to use a tool supporting resumable downloads from a list of file URLs. 

For each dataset, the file URLs are available via the Zenodo API using the numeric identifier found in the DOI suffix, eg. https://zenodo.org/api/records/7463348.

Data parsing and interoperabilityThe EK80 data is distributed in the original, proprietary data format. There is an ogoing effort in the international acoustic data community to standardise the data analysis of echosounder data, see: https://github.com/ices-publications/SONAR-netCDF4.

In order to obtain the position corresponding to a echosounder file, use the UTC timestamp found in the filename and match it against the timestamps before and after each EK80 data capture, as found in WBT.TXT:

Sensorlog opened 16.05.2021 14:01:12 GPS: 16.05.2021 14:01:12 76.76513 29.94313 Sensorlog closed 16.05.2021 14:11:45 GPS: 16.05.2021 14:11:45 76.76299 29.96182

References

Dunn M (2022). Overview of Sailbuoy EK80 data from 2021 cruise at the polar front. Zenodo. https://doi.org/10.5281/zenodo.6627220

Daase M (ed.). (2021). ARCTOS Barents Sea Polar Front May 2021 Cruise Report (1.1.0). Zenodo. https://doi.org/10.5281/zenodo.7384076
DOI: 10.5281/zenodo.7463345
title: Sailbuoy Iskant PolarFront EK80 echosounder datasets and sensor data 2021-05 to 2021-07

description: PolarFront 2021 sailbuoy Iskant EK80

During the arctic spring of 2021, the autonomous sailbuoy Iskant was on a 2-month long-endurance field campaign in the Barents Sea, for the PolarFront research project.

Equipped with a broadband echosounder (SIMRAD EK80 WBT Mini), the sailbuoy captured 5600 acoustic segments, each holding 5 minutes of data (Dunn, 2022). The EK80 data is published in a collection of 12 datasets with a combined size of ~500GB.

This dataset contains vehicle GPS positions/data logs, EK80 calibration file, a machine-readable list of the datasets, as well as documentation for the entire collection.

Time coverage: 2021-05-16/2021-07-13.

DatasetsList of PolarFront EK80 datasets from Sailbuoy Iskant in 2021:



2021-05-16/2021-05-21

2021-05-22/2021-05-26

2021-05-27/2021-05-31

2021-06-01/2021-06-05

2021-06-06/2021-06-10

2021-06-11/2021-06-15

2021-06-16/2021-06-20

2021-06-21/2021-06-25

2021-06-26/2021-06-30

2021-07-01/2021-07-05

2021-07-06/2021-07-10

2021-07-11/2021-07-13


Data accessThe most reliable method to obtain data of this size is to use a tool supporting resumable downloads from a list of file URLs. 

For each dataset, the file URLs are available via the Zenodo API using the numeric identifier found in the DOI suffix, eg. https://zenodo.org/api/records/7463348.

Data parsing and interoperabilityThe EK80 data is distributed in the original, proprietary data format. There is an ogoing effort in the international acoustic data community to standardise the data analysis of echosounder data, see: https://github.com/ices-publications/SONAR-netCDF4.

In order to obtain the position corresponding to a echosounder file, use the UTC timestamp found in the filename and match it against the timestamps before and after each EK80 data capture, as found in WBT.TXT:

Sensorlog opened 16.05.2021 14:01:12 GPS: 16.05.2021 14:01:12 76.76513 29.94313 Sensorlog closed 16.05.2021 14:11:45 GPS: 16.05.2021 14:11:45 76.76299 29.96182

References

Dunn M (2022). Overview of Sailbuoy EK80 data from 2021 cruise at the polar front. Zenodo. https://doi.org/10.5281/zenodo.6627220

Daase M (ed.). (2021). ARCTOS Barents Sea Polar Front May 2021 Cruise Report (1.1.0). Zenodo. https://doi.org/10.5281/zenodo.7384076
DOI: 10.15468/dl.35mc8y
title: Occurrence Download

description: A dataset containing 1108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is PAK.7.4.8_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2025"
 ]
}

 The dataset includes 1108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063753-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7463367
title: Sailbuoy Iskant PolarFront EK80 echosounder data [11/12] 2021-07-06/2021-07-10

description: This dataset is part 11/12 of a collection and contains ~43.0 GB of data in 479 files, captured between 2021-07-06 and 2021-07-10.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.5281/zenodo.7463368
title: Sailbuoy Iskant PolarFront EK80 echosounder data [11/12] 2021-07-06/2021-07-10

description: This dataset is part 11/12 of a collection and contains ~43.0 GB of data in 479 files, captured between 2021-07-06 and 2021-07-10.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.15468/dl.u99vz8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Costa Rica",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063754-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7463352
title: Sailbuoy Iskant PolarFront EK80 echosounder data [3/12] 2021-05-27 to 2021-05-31

description: This dataset is part 3/12 of a collection. The dataset contains ~43.2 GB of data in 480 files, captured between 2021-05-27 and 2021-05-31.





For more information, see: Sailbuoy Iskant PolarFront EK80 echosounder datasets and sensor data 2021-05 to 2021-07.
DOI: 10.5281/zenodo.7463351
title: Sailbuoy Iskant PolarFront EK80 echosounder data [3/12] 2021-05-27 to 2021-05-31

description: This dataset is part 3/12 of a collection. The dataset contains ~43.2 GB of data in 480 files, captured between 2021-05-27 and 2021-05-31.





For more information, see: Sailbuoy Iskant PolarFront EK80 echosounder datasets and sensor data 2021-05 to 2021-07.