cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14867786
title: Multi-variant, multi-criteria analysis of potential land availability for wind parks location in Poland
title: Wielowariantowa, wielokryterialna analiza potencjalnej dostępności terenu pod lokalizację parków wiatrowych w Polsce

description: The multi-variant, multi-criteria analysis of the potential availability of land for the location of wind farms in Poland is related to the implementation of the project "Method to quantify the energy droughts of renewable sources based on historical and climate change projections data".As part of this resource, we present a visualization of the availability of land for the location of wind farms in Poland, in the aspect of the applicable law, as well as the past and other variants. The multi-criteria analysis concerned areas excluded from the possibility of locating wind turbines, and the main criteria and variants were excluded zones at various distances from residential buildings.
DOI: 10.5281/zenodo.14867787
title: Multi-variant, multi-criteria analysis of potential land availability for wind parks location in Poland
title: Wielowariantowa, wielokryterialna analiza potencjalnej dostępności terenu pod lokalizację parków wiatrowych w Polsce

description: The multi-variant, multi-criteria analysis of the potential availability of land for the location of wind farms in Poland is related to the implementation of the project "Method to quantify the energy droughts of renewable sources based on historical and climate change projections data".As part of this resource, we present a visualization of the availability of land for the location of wind farms in Poland, in the aspect of the applicable law, as well as the past and other variants. The multi-criteria analysis concerned areas excluded from the possibility of locating wind turbines, and the main criteria and variants were excluded zones at various distances from residential buildings.
DOI: 10.5281/zenodo.14867812
title: Dataset for RESuM: A Rare Event Surrogate Model for Physics Detector Design

description: This dataset contains the training data for ICLR 2025 Spotlight Paper: RESuM: A Rare Event Surrogate Model for Physics Detector Design:

The experimental discovery of neutrinoless double-beta decay (NLDBD) would answer one of the most important questions in physics: Why is there more matter than antimatter in our universe? To maximize the chances of discovery, NLDBD experiments must optimize their detector designs to minimize the probability of background events contaminating the detector. Given that this probability is inherently low, design optimization either requires extremely costly simulations to generate sufficient background counts or contending with significant variance. In this work, we formalize this dilemma as a Rare Event Design (RED) problem: identifying optimal design parameters when the design metric to be minimized is inherently small. We then designed the Rare Event Surrogate Model (RESuM) for physics detector design optimization under RED conditions. RESuM uses a pre-trained Conditional Neural Process (CNP) model to incorporate additional prior knowledge into a Multi-Fidelity Gaussian Process model. We applied RESuM to optimize neutron shielding designs for the LEGEND NLDBD experiment, identifying an optimal design that reduces the neutron background by % while using only 3.3% of the computational resources compared to traditional methods. Given the prevalence of RED problems in other fields of physical sciences, especially in rare-event searches, the RESuM algorithm has broad potential for accelerating simulation-intensive applications.
DOI: 10.5281/zenodo.14867813
title: Dataset for RESuM: A Rare Event Surrogate Model for Physics Detector Design

description: This dataset contains the training data for ICLR 2025 Spotlight Paper: RESuM: A Rare Event Surrogate Model for Physics Detector Design:

The experimental discovery of neutrinoless double-beta decay (NLDBD) would answer one of the most important questions in physics: Why is there more matter than antimatter in our universe? To maximize the chances of discovery, NLDBD experiments must optimize their detector designs to minimize the probability of background events contaminating the detector. Given that this probability is inherently low, design optimization either requires extremely costly simulations to generate sufficient background counts or contending with significant variance. In this work, we formalize this dilemma as a Rare Event Design (RED) problem: identifying optimal design parameters when the design metric to be minimized is inherently small. We then designed the Rare Event Surrogate Model (RESuM) for physics detector design optimization under RED conditions. RESuM uses a pre-trained Conditional Neural Process (CNP) model to incorporate additional prior knowledge into a Multi-Fidelity Gaussian Process model. We applied RESuM to optimize neutron shielding designs for the LEGEND NLDBD experiment, identifying an optimal design that reduces the neutron background by % while using only 3.3% of the computational resources compared to traditional methods. Given the prevalence of RED problems in other fields of physical sciences, especially in rare-event searches, the RESuM algorithm has broad potential for accelerating simulation-intensive applications.
DOI: 10.15468/dl.rb268h
title: Occurrence Download

description: A dataset containing 960 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (risaralda, risaralda department, risaralda dept.)",
 "TaxonKey is one of (Chiroptera)"
 ]
 }
 ]
}

 The dataset includes 960 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000969-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nm6jm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina semifasciata Kishinouye, 1904",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000970-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prf6ta
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clupea pallasii Valenciennes, 1847",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 172 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000972-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmk5ju
title: Occurrence Download

description: A dataset containing 53097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.22462 34.15897,-118.1423 34.16865,-118.04658 34.15897,-118.03917 34.22104,-118.04658 34.2493,-118.07629 34.29739,-118.1429 34.28808,-118.20498 34.28345,-118.22206 34.26934,-118.22462 34.2493,-118.23699 34.21987,-118.22462 34.15897))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 53097 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000973-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b59n5j
title: Occurrence Download

description: A dataset containing 5257700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-85.85 39.42,-69.53 39.42,-69.53 42.38,-85.85 42.38,-85.85 39.42))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5257700 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000956-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12772010
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2022-11-29 to 2023-06-13 [RAW]

description: Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance.

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12772011
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2022-11-29 to 2023-06-13 [RAW]

description: Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance.

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.15468/dl.x8tz3h
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alopias pelagicus Nakamura, 1935",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000975-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12772030
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2023-06-13 to 2024-02-07 [RAW]

description: Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance. We acknowlegde KIT for providing the instrument as part of the project "PAUL - Pilot Application in Urban Landscapes - Towards integrated city observatories for greenhouse gases" (Grant agreement ID: 101037319).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). The instrument has been provided as part of the project "PAUL - Pilot Application in Urban Landscapes - Towards integrated city observatories for greenhouse gases" (Grant agreement No 101037319).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12772031
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2023-06-13 to 2024-02-07 [RAW]

description: Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 for providing the measurement station space and access for the routine maintenance. We acknowlegde KIT for providing the instrument as part of the project "PAUL - Pilot Application in Urban Landscapes - Towards integrated city observatories for greenhouse gases" (Grant agreement ID: 101037319).

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). The instrument has been provided as part of the project "PAUL - Pilot Application in Urban Landscapes - Towards integrated city observatories for greenhouse gases" (Grant agreement No 101037319).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12771961
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-07-27 to 2023-09-13 [RAW]

description: Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; staff at Domaine départemental de la Vallée aux Loups for providing the measurement station space and access for the routine maintenance

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12771962
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-07-27 to 2023-09-13 [RAW]

description: Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; staff at Domaine départemental de la Vallée aux Loups for providing the measurement station space and access for the routine maintenance

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project. 

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005). 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12771906
title: Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-09-13 to 2024-03-05 [RAW]

description: Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; staff at Domaine départemental de la Vallée aux Loups for providing the measurement station space and access for the routine maintenance

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project