cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.97s3rj
title: Occurrence Download

description: A dataset containing 11246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii, Procambarus virginalis, Procambarus acutus, Faxonius limosus, Pacifastacus leniusculus, Faxonius virilis, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Pontastacus leptodactylus)",
 "Country is one of (Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 11246 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028254-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jch4dw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028255-250811113504898/datasets/export for details.
DOI: 10.15468/dl.yragbd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis bareli)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028256-250811113504898/datasets/export for details.
DOI: 10.15468/dl.mpyh39
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania ambrosioides",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028257-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y868d8
title: Occurrence Download

description: A dataset containing 11246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii, Procambarus virginalis, Procambarus acutus, Faxonius limosus, Pacifastacus leniusculus, Faxonius virilis, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Pontastacus leptodactylus)",
 "Country is one of (Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 11246 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028258-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ne69r
title: Occurrence Download

description: A dataset containing 33361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is TRUE",
 "TaxonKey is one of (Cacomantis merulinus, Cacomantis sonneratii, Cacomantis variolosus, Cacomantis variolosus sepulcralis, Carpococcyx radiceus, Carpococcyx viridis, Centropus bengalensis, Centropus nigrorufus, Centropus rectunguis, Centropus sinensis, Chrysococcyx basalis, Chrysococcyx maculatus, Chrysococcyx minutillus, Chrysococcyx xanthorhynchus, Clamator coromandus, Clamator jacobinus, Cuculus canorus, Cuculus fugax, Cuculus lepidus, Cuculus micropterus, Cuculus nisicolor, Cuculus optatus, Cuculus poliocephalus, Cuculus saturatus, Cuculus sparverioides, Cuculus sparverioides bocki, Cuculus vagans, Eudynamys scolopaceus, Eudynamys scolopaceus melanorhynchus, Eudynamys scolopaceus orientalis, Rhinortha chlorophaea, Rhopodytes diardi, Rhopodytes sumatranus, Rhopodytes tristis, Scythrops novaehollandiae, Surniculus lugubris, Zanclostomus curvirostris, Zanclostomus javanicus)"
 ]
}

 The dataset includes 33361 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028259-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e237305
title: National Neighborhood Data Archive: Air Conditioning Probability by Census Tract, United States, 2016

description: This dataset provides estimates of the probability that
housing units have central air conditioning (central AC) across United States
Census Tracts. For each tract, it includes the mean, minimum, maximum, median,
and interquartile range (25th and 75th percentiles) of central AC probability,
as well as the number of valid values used in these calculations.

<br>
description: Smallest Geographic Unit: United States Census Tract
DOI: 10.3886/e237305v1
title: National Neighborhood Data Archive: Air Conditioning Probability by Census Tract, United States, 2016

description: This dataset provides estimates of the probability that
housing units have central air conditioning (central AC) across United States
Census Tracts. For each tract, it includes the mean, minimum, maximum, median,
and interquartile range (25th and 75th percentiles) of central AC probability,
as well as the number of valid values used in these calculations.

<br>
description: Smallest Geographic Unit: United States Census Tract
DOI: 10.15468/dl.rxmsaa
title: Occurrence Download

description: A dataset containing 17726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eutrochium maculatum"
 ]
}

 The dataset includes 17726 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028260-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57680/asep.0638102
title: Stabilizace rozhraní vedoucího a koncového elektrolytu v epitachoforéze
title: Leading and trailing electrolyte boundary stabilization in epitachophoresis

description: Dataset obsahuje soubory ve formátu .ppt a .xlsx, kde jsou záznamy všech experimentů, které byly prováděny v rámci studia možností stabilizace rozhraní vedoucího a koncového elektrolytu v epitachoforéze. Jsou rozděleny na experimenty s gely, pevnými materiály, přehled všech experimentů a simulace experimentů.
description: The dataset contains files in .ppt and .xlsx formats, which include records of all experiments performed as part of the study on stabilising the boundary of the leading and trailing electrolyte in epitachophoresis. They are divided into experiments with gels, solid materials, an overview of all experiments, and simulations of experiments.
DOI: 10.15468/dl.55xmyh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania ambrosioides",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028262-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e5837
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diplotaxodon altus)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028261-250811113504898/datasets/export for details.
DOI: 10.7910/dvn/wne4ri
title: Beauplan's Travel Routes in .shp File Format.

description: Beauplan's szlak routes, trail routes, and travel hubs in .shp file format
DOI: 10.15468/dl.vranda
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028263-250811113504898/datasets/export for details.
DOI: 10.48544/3b9bd089-6112-4d1a-9e75-d99c3e688e05
title: Kansen en bedreigingen van AI in het onderwijs
DOI: 10.15468/dl.qpvbrq
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "Geometry POLYGON((-64.84887 -18.81871,-64.20849 -18.81871,-64.20849 -18.3812,-64.84887 -18.3812,-64.84887 -18.81871))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 704 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028264-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16914102
title: Observed mesoscale convective systems over South America (2001-2021)

description: Observed Mesoscale Convective Systems (MCSs) over South America (2001-2020)

This dataset was developed and used by Rehbein et al. (2025). Please review this paper for a complete description of this dataset. 

The MCSs in this dataset were first identified and tracked using brightness temperature (Tb) from geostationary infrared satellite imagery (MERGIR product; Janowiak et al., 2004). For each timestep of all objects tracked with Tb, the precipitation (IMERG; Huffman et al., 2019) underneath the cloud shield was calculated. Then, the family of objects that had met the criteria for an MCS (as described below) was selected. 

MCSs were obtained through the identification and tracking of all cloud systems over South America using the Forecasting and Tracking the evolution of Cloud Clusters (ForTraCC*; Machado et al., 1998; Vila et al., 2008). ForTraCC was set to identify and track all the objects with one or more contiguous pixels with brightness temperature equal to or above 241 K. Since ForTraCC tracked and stored all pixel families that match that criteria, a post‐processing program was used to select the MCSs in that huge dataset (see https://github.com/salvatirehbein/percolator).

The final MCSs have, therefore, in common the following characteristics (Prein et al., 2024):

1. The continuous Tb ≤ 241 K area must be at least 40,000 km2 for at least four continuous hours.2. The maximum hourly precipitation underneath the ≤241 K Tb area must be larger than 10 mm hr^-1 for at least 4 continuous hours.3. The hourly precipitation volume must exceed 20,000 km2 mm h^-1 (e.g., 100 km × 100 km × 2 mm h^-1) at least once in the lifetime of the MCS.4. The minimum Tb must be <225 K during the MCS lifetime to account for overshooting tops.

_______________________________________________________________________

*Besides its immense contribution to research, ForTraCC is also used operationally at the Brazilian Center for Forecast and Climate Studies of the National Institute of Spatial Research (CPTEC/INPE; http://pindara.cptec.inpe.br/fortracc/) for nowcasting.

_______________________________________________________________________

References

Machado, L. A. T., Rossow, W. B., Guedes, R. L., & Walker, A. W. (1998). Life cycle variations of mesoscale convective systems over the Americas. Monthly Weather Review, 126(6), 1630-1654.

Prein, A. F., Feng, Z., Moon, Z., Ocasio, K. M. N., Kukulies, J., Roca, R., ... & Rasmussen, R. (2023). Km-scale simulations of mesoscale convective systems (MCSs) over South America-A feature tracker intercomparison. Authorea Preprints.

Rehbein, A., Prein, A. F., Ambrizzi, T., Ikeda, K., Liu, C., & Rasmussen, R. M. (2025). 20 Years of MCSs simulations over South America using a convection-permitting model. Climate Dynamics, 63(1), 38.

Vila, D. A., Machado, L. A. T., Laurent, H., & Velasco, I. (2008). Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) using satellite infrared imagery: Methodology and validation. Weather and Forecasting, 23(2), 233-245.
DOI: 10.5281/zenodo.16914103
title: Observed mesoscale convective systems over South America (2001-2021)

description: Observed Mesoscale Convective Systems (MCSs) over South America (2001-2020)

This dataset was developed and used by Rehbein et al. (2025). Please review this paper for a complete description of this dataset. 

The MCSs in this dataset were first identified and tracked using brightness temperature (Tb) from geostationary infrared satellite imagery (MERGIR product; Janowiak et al., 2004). For each timestep of all objects tracked with Tb, the precipitation (IMERG; Huffman et al., 2019) underneath the cloud shield was calculated. Then, the family of objects that had met the criteria for an MCS (as described below) was selected. 

MCSs were obtained through the identification and tracking of all cloud systems over South America using the Forecasting and Tracking the evolution of Cloud Clusters (ForTraCC*; Machado et al., 1998; Vila et al., 2008). ForTraCC was set to identify and track all the objects with one or more contiguous pixels with brightness temperature equal to or above 241 K. Since ForTraCC tracked and stored all pixel families that match that criteria, a post‐processing program was used to select the MCSs in that huge dataset (see https://github.com/salvatirehbein/percolator).

The final MCSs have, therefore, in common the following characteristics (Prein et al., 2024):

1. The continuous Tb ≤ 241 K area must be at least 40,000 km2 for at least four continuous hours.2. The maximum hourly precipitation underneath the ≤241 K Tb area must be larger than 10 mm hr^-1 for at least 4 continuous hours.3. The hourly precipitation volume must exceed 20,000 km2 mm h^-1 (e.g., 100 km × 100 km × 2 mm h^-1) at least once in the lifetime of the MCS.4. The minimum Tb must be <225 K during the MCS lifetime to account for overshooting tops.

_______________________________________________________________________

*Besides its immense contribution to research, ForTraCC is also used operationally at the Brazilian Center for Forecast and Climate Studies of the National Institute of Spatial Research (CPTEC/INPE; http://pindara.cptec.inpe.br/fortracc/) for nowcasting.

_______________________________________________________________________

References

Machado, L. A. T., Rossow, W. B., Guedes, R. L., & Walker, A. W. (1998). Life cycle variations of mesoscale convective systems over the Americas. Monthly Weather Review, 126(6), 1630-1654.

Prein, A. F., Feng, Z., Moon, Z., Ocasio, K. M. N., Kukulies, J., Roca, R., ... & Rasmussen, R. (2023). Km-scale simulations of mesoscale convective systems (MCSs) over South America-A feature tracker intercomparison. Authorea Preprints.

Rehbein, A., Prein, A. F., Ambrizzi, T., Ikeda, K., Liu, C., & Rasmussen, R. M. (2025). 20 Years of MCSs simulations over South America using a convection-permitting model. Climate Dynamics, 63(1), 38.

Vila, D. A., Machado, L. A. T., Laurent, H., & Velasco, I. (2008). Forecast and Tracking the Evolution of Cloud Clusters (ForTraCC) using satellite infrared imagery: Methodology and validation. Weather and Forecasting, 23(2), 233-245.
DOI: 10.15468/dl.29mmqc
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania ambrosioides",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 341 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028265-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63e2wr
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinodoras gallagheri)",
 "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 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028266-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16912228
title: NAUTILOS - CEiiA Lander with AQUATEC Active Acoustic sensor - CEiiA / AQUATEC

description: CEiiA Lander with AQUATEC Active Acoustic sensor and underwater camera - 2 day mission APDL matosinhos.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/active_acoustic_sensor_aquatec/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16912227
title: NAUTILOS - CEiiA Lander with AQUATEC Active Acoustic sensor - CEiiA / AQUATEC

description: CEiiA Lander with AQUATEC Active Acoustic sensor and underwater camera - 2 day mission APDL matosinhos.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/active_acoustic_sensor_aquatec/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910209
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S2/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910210
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from MSI imager collected by S2-A or S2-B satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S2/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.15468/dl.nup273
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania ambrosioides",
 "Country is Korea (Democratic People’s Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028267-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16910131
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_L8/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910132
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLI or OLI-2 imager collected by L8 or L9 satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_L8/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910239
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S3/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910240
title: NAUTILOS - Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform - NIVA

description: Matchups of in situ data from UAV during Norwegian and Aegean Sea demonstration with remote sensing from OLCI imager collected by S3-A or S3-B satellite platform.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/satellite_uav_matchups_S3/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910278
title: NAUTILOS - Marine Litter - NAUTILOS Summer School 2023

description: Marine litter collected during the NAUTILOS Summer School beach clena up experience.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/nautilos_summer_school_2023/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910279
title: NAUTILOS - Marine Litter - NAUTILOS Summer School 2023

description: Marine litter collected during the NAUTILOS Summer School beach clena up experience.

Full metadata: https://data-nautilos-h2020.eu/erddap/info/nautilos_summer_school_2023/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.
DOI: 10.5281/zenodo.16910444
title: NAUTILOS - SOMA daily averaged 3D fields forecast (DAILY 3D 1km best), 2022-present - UAlg

description: SOMA daily averaged 3D fields forecast (DAILY 3D 1km best), 2022-present (subset).

Full dataset: https://data-nautilos-h2020.eu/erddap/griddap/hydroSOMA_model_daily_1km_1_ualg.html

Full metadata: https://data-nautilos-h2020.eu/erddap/info/hydroSOMA_model_daily_1km_1_ualg/index.html

This dataset is part of the NAUTILOS project outcomes. NAUTILOS is funded from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825.