cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17119634
title: Extended LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

description: Version 1.0: Please be aware that this version of the dataset is NOT the final revised one! The paper is currently still in progress.

The Extended LamaH-CE dataset represents an enhanced version of the original LamaH-CE dataset (Klingler et al., 2021), providing comprehensive hydrometeorological time series and catchment attributes for 859 gauged basins in Central Europe. This extended version serves as supplementary material to the paper "BiasCast: Learning and adjusting real time biases from meteorological forecasts to enhance runoff predictions" and incorporates multiple state-of-the-art meteorological forcing datasets to enable advanced hydrological modeling and forecasting applications.

Important Note: This Extended LamaH-CE dataset contains only the modified components. All enhancements were made exclusively to:



A_basins_total_upstrm: Traditional catchment delineation (topographic catchments)

D_gauges: Enhanced with qmin, qmax, and renamed qobs to qmean


For all other components (aggregation levels B and C, catchment attributes, shapefiles, and documentation), users should refer to the original LamaH-CE dataset.

Additional Meteorological Forcings

The Extended LamaH-CE incorporates four major meteorological datasets, spatially aggregated to the catchment scale:



E-OBS: High-resolution gridded observational dataset for European climate variables

MSWEP: Multi-Source Weighted-Ensemble Precipitation with global coverage

GLEAM: Global Land Evaporation Amsterdam Model for evapotranspiration and soil moisture

ECMWF HRES: Deterministic forecasts from the Integrated Forecasting System


All data sources are placed in the column headers as a prefix to the meteorological variable (e.g. ERA5L_2m_temp_mean).

Enhanced Discharge Data

The runoff time series have been augmented with additional statistical measures derived from hourly LamaH-CE:



qmin: Daily minimum discharge

qmax: Daily maximum discharge

qmean: Daily mean discharge (renamed from qobs in the original version)


Disclaimer

The authors have processed this dataset with care and performed plausibility checks on all outputs. However, users acknowledge that neither the dataset creators nor the original data providers can be held liable for any errors, omissions, or consequences arising from the use of this dataset. Users are encouraged to perform their own quality assessments appropriate for their specific applications.

License

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This change from the original CC BY 4.0 license is necessitated by the inclusion of meteorological forcings with non-commercial restrictions.

Acknowledgments

We acknowledge the data providers for E-OBS (ECA&D project), MSWEP (GloH2O), GLEAM (Global Land Evaporation Amsterdam Model team), and ECMWF for making their datasets available. We further ask kindly for compliance in citing the data providers in the LamaH-CE paper.
DOI: 10.5281/zenodo.17119635
title: Extended LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe

description: Version 1.0: Please be aware that this version of the dataset is NOT the final revised one! The paper is currently still in progress.

The Extended LamaH-CE dataset represents an enhanced version of the original LamaH-CE dataset (Klingler et al., 2021), providing comprehensive hydrometeorological time series and catchment attributes for 859 gauged basins in Central Europe. This extended version serves as supplementary material to the paper "BiasCast: Learning and adjusting real time biases from meteorological forecasts to enhance runoff predictions" and incorporates multiple state-of-the-art meteorological forcing datasets to enable advanced hydrological modeling and forecasting applications.

Important Note: This Extended LamaH-CE dataset contains only the modified components. All enhancements were made exclusively to:



A_basins_total_upstrm: Traditional catchment delineation (topographic catchments)

D_gauges: Enhanced with qmin, qmax, and renamed qobs to qmean


For all other components (aggregation levels B and C, catchment attributes, shapefiles, and documentation), users should refer to the original LamaH-CE dataset.

Additional Meteorological Forcings

The Extended LamaH-CE incorporates four major meteorological datasets, spatially aggregated to the catchment scale:



E-OBS: High-resolution gridded observational dataset for European climate variables

MSWEP: Multi-Source Weighted-Ensemble Precipitation with global coverage

GLEAM: Global Land Evaporation Amsterdam Model for evapotranspiration and soil moisture

ECMWF HRES: Deterministic forecasts from the Integrated Forecasting System


All data sources are placed in the column headers as a prefix to the meteorological variable (e.g. ERA5L_2m_temp_mean).

Enhanced Discharge Data

The runoff time series have been augmented with additional statistical measures derived from hourly LamaH-CE:



qmin: Daily minimum discharge

qmax: Daily maximum discharge

qmean: Daily mean discharge (renamed from qobs in the original version)


Disclaimer

The authors have processed this dataset with care and performed plausibility checks on all outputs. However, users acknowledge that neither the dataset creators nor the original data providers can be held liable for any errors, omissions, or consequences arising from the use of this dataset. Users are encouraged to perform their own quality assessments appropriate for their specific applications.

License

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This change from the original CC BY 4.0 license is necessitated by the inclusion of meteorological forcings with non-commercial restrictions.

Acknowledgments

We acknowledge the data providers for E-OBS (ECA&D project), MSWEP (GloH2O), GLEAM (Global Land Evaporation Amsterdam Model team), and ECMWF for making their datasets available. We further ask kindly for compliance in citing the data providers in the LamaH-CE paper.
DOI: 10.15468/dl.hfwbp3
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Genista horrida"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018242-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc64nn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Characidium vestigipinne)",
 "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 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018243-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34943/19385e74-fb96-4ee0-8b0f-3c20529f4c8c
title: Folger Pinnacle Orientation Instrument Deployed 2025-09-04

description: The Movella Xsens MTi-320 Active Heading Tracker 02D01A0B was deployed on 2025-09-04 at Folger Pinnacle. Folger Pinnacle is an isolated pillar-like feature in Folger Passage, where biodiversity and coastal ecosystems are observed. This device is a Orientation Instrument. Orientation instruments are used on ships, ROVs and instrument packages to record variables like heading, pitch and roll. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.6g8rex
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mytella guyanensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018244-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx4kau
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-10.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cupressus",
 "Year 2024-2024"
 ]
}

 The dataset includes 250 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018245-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ebscz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Colinus virginianus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018246-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.17952
title: Suppression of the charge fluctuations by nonlocal correlations close to the Mott transition

description: In this paper, we investigate the impact of nonlocal correlations on charge fluctuations in the<br>
two-dimensional single-band Hubbard model close to the Mott metal-to-insulator transition, em-<br>
ploying the ladder dynamical vertex approximation. At half-filling and for interaction strengths and<br>
temperatures where the system is in the Mott insulating phase, charge fluctuations are strongly<br>
suppressed. Under these conditions, dynamical mean-field theory (DMFT) calculations predict a<br>
strong enhancement of the charge susceptibility at small (electron or hole) doping. However, these<br>
DMFT results include only the effects of purely local correlations despite the importance of nonlo-<br>
cal correlations in two-dimensional systems. We have, hence, carried out ladder dynamical vertex<br>
approximation (lDΓA) simulations which allow for the inclusion of such nonlocal correlation effects<br>
while retaining the local ones of DMFT. Our lDΓA numerical data show that close to half-filling<br>
the large uniform charge susceptibility of DMFT is strongly suppressed by nonlocal fluctuations but<br>
gradually increases with (electron) doping. At a certain doping value, charge fluctuations eventually<br>
become larger in lDΓA with respect to DMFT indicating that the absence of nonlocal correlations<br>
underestimates the mobility of the charge carriers in this parameter regime. This metallization effect<br>
is also reflected in an enhancement of the lDΓA kinetic and potential energies and a corresponding<br>
reduction of the (absolute value of the) lDΓA Matsubara self-energy with respect to DMFT.
DOI: 10.25592/uhhfdm.17959
title: Stuck in the middle: Optimization of long-haul trucking with battery trailer support - instance data

description: The data set contains the instance data for the publication "Stuck in the middle: Optimization of long-haul trucking with battery trailer support".
DOI: 10.15468/dl.4thyvr
title: Occurrence Download

description: A dataset containing 12470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Colinus virginianus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 12470 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018248-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.17951
title: Suppression of the charge fluctuations by nonlocal correlations close to the Mott transition

description: In this paper, we investigate the impact of nonlocal correlations on charge fluctuations in the<br>
two-dimensional single-band Hubbard model close to the Mott metal-to-insulator transition, em-<br>
ploying the ladder dynamical vertex approximation. At half-filling and for interaction strengths and<br>
temperatures where the system is in the Mott insulating phase, charge fluctuations are strongly<br>
suppressed. Under these conditions, dynamical mean-field theory (DMFT) calculations predict a<br>
strong enhancement of the charge susceptibility at small (electron or hole) doping. However, these<br>
DMFT results include only the effects of purely local correlations despite the importance of nonlo-<br>
cal correlations in two-dimensional systems. We have, hence, carried out ladder dynamical vertex<br>
approximation (lDΓA) simulations which allow for the inclusion of such nonlocal correlation effects<br>
while retaining the local ones of DMFT. Our lDΓA numerical data show that close to half-filling<br>
the large uniform charge susceptibility of DMFT is strongly suppressed by nonlocal fluctuations but<br>
gradually increases with (electron) doping. At a certain doping value, charge fluctuations eventually<br>
become larger in lDΓA with respect to DMFT indicating that the absence of nonlocal correlations<br>
underestimates the mobility of the charge carriers in this parameter regime. This metallization effect<br>
is also reflected in an enhancement of the lDΓA kinetic and potential energies and a corresponding<br>
reduction of the (absolute value of the) lDΓA Matsubara self-energy with respect to DMFT.
DOI: 10.15468/dl.v6qg32
title: Occurrence Download

description: A dataset containing 1611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinopodophyllum hexandrum"
 ]
}

 The dataset includes 1611 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018249-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13107255
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.kxxcbt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mytella speciosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018254-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr7mx2
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sturnus vulgaris",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018251-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.1382lw1q
title: FRA2021_0063

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.ca4evn2s
title: FRA2021_0034

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.15468/dl.fmaa8b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Colinus virginianus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018255-250914085247600/datasets/export for details.
DOI: 10.15468/dl.p6knf8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Colinus virginianus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018256-250914085247600/datasets/export for details.
DOI: 10.15468/dl.8cquz4
title: Occurrence Download

description: A dataset containing 46066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Lavandula latifolia"
 ]
}

 The dataset includes 46066 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018253-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw3c6m
title: Occurrence Download

description: A dataset containing 8746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Notorynchus cepedianus"
 ]
}

 The dataset includes 8746 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018257-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdtv9w
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrotis ypsilon"
 ]
}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018258-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927116
title: Soil biodiversity and ecosystem functions in grasslands: Is more always better?

description: This is a dataset linked to the study "Soil biodiversity and ecosystem functions in grasslands: Is more always better?"

The study was based on five experimental (pot) grassland systems with soil substrate, soil inocula, and plant communities representative of five European grasslands located in Belgium, Germany, Hungary (2), and Italy. Each grassland system contained four biodiversity levels (High, Mid, Low, and Min) obtained by selective filtering of field soil from the respective grasslands by size. For each grassland system and treatment, there were 10 replicates, resulting in 200 pots.

The dataset contains information on plant biomass (total shoot, litter, grass, forb, root), plant diversity, soil total carbon (C) and nitrogen (N), dissolved organic C (DOC) and N (DON), microbial C and N, soil and microbial ammonium, microbial respiration, plant C and N, soil pH, and the relative abundance of bacterial parasites and pathogens, bacterial chemoheterotrophs, nitrifiers, ureolysers, N-fixers, plant pathogenic fungi, and arbuscular mycorrhizal fungi.