cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.f896rx
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bull Kelp Forest Ecosystem Monitoring Database, Northern California, 1971-2023",
 "Year 2023-2023"
 ]
}

 The dataset's 14 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000429-250325103851331/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.28660805
title: global soil respiration database and RF model

description: global soil respiration database and RF model
DOI: 10.17044/scilifelab.27336156
title: Data for metabolomics and transcriptomics resources for the identification of candidate genes in the biosynthesis of specialized metabolites in <i>Populus </i><i>tremula</i> (L).

description: Despite their importance, the pathways and enzymes associated with the biosynthesis of many specialized metabolites are yet to be characterized. The integration of multi-omics data represents a powerful approach to link genes encoding enzymes and their regulatory factors to metabolite biosynthesis. However, suitable multi-omics data resources for this approach are scarce. Here we present a data resource comprising Liquid Chromatography Mass Spectrometry (LC-MS) and mRNA-Sequencing data from European aspen (<i>Populus tremula</i> L.) including tissues sampled from different organs, and genotypes that produce contrasting sets of salicinoid phenolic glucosides (SPGs), that are specialized metabolites characteristic for Salicaceae.
DOI: 10.17044/scilifelab.27336156.v1
title: Data for metabolomics and transcriptomics resources for the identification of candidate genes in the biosynthesis of specialized metabolites in <i>Populus </i><i>tremula</i> (L).

description: Despite their importance, the pathways and enzymes associated with the biosynthesis of many specialized metabolites are yet to be characterized. The integration of multi-omics data represents a powerful approach to link genes encoding enzymes and their regulatory factors to metabolite biosynthesis. However, suitable multi-omics data resources for this approach are scarce. Here we present a data resource comprising Liquid Chromatography Mass Spectrometry (LC-MS) and mRNA-Sequencing data from European aspen (<i>Populus tremula</i> L.) including tissues sampled from different organs, and genotypes that produce contrasting sets of salicinoid phenolic glucosides (SPGs), that are specialized metabolites characteristic for Salicaceae.
DOI: 10.15468/dl.vc4dja
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Certhia familiaris macrodactyla C.L.Brehm, 1831"
 ]
}

 The dataset includes 52 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000437-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15083759
title: INTEGRATION OF BIM AND GIS TECHNOLOGIES IN MODERN URBAN PLANNING: CHALLENGES AND PROSPECTS
DOI: 10.5281/zenodo.15083760
title: INTEGRATION OF BIM AND GIS TECHNOLOGIES IN MODERN URBAN PLANNING: CHALLENGES AND PROSPECTS
DOI: 10.5281/zenodo.14841681
title: Very-Large-Scale Reconfigurable Intelligent Surfaces for Dynamic Control of Terahertz and Millimetre Waves

description: Dataset for manuscript titled "Very-Large-Scale Reconfigurable Intelligent Surfaces for Dynamic Control of Terahertz and Millimetre Waves".
DOI: 10.14278/rodare.3636
title: Data publication: Synthesis of nonadentate ligand diethylene glycol-bis(3-aminopropyl ether)-N,N,N′,N′-tetraacetic acid DEGTA and its complexation behavior towards trivalent lanthanides and actinides

description: NMR-spectra of the pure title compound and its complexes with La(III), Sm(III), and Eu(III) at different metal-to-ligand ratios as well as pD values. TRLFS spectra of the title compound with Eu(III) as well as Cm(III). Measured and calculated IR spectra of the title compound and EDTA and EGTA with Eu(III). DFT calculations of the ligand with La(III), Eu(III), and Cm(III) as well as EDTA and EGTA comparisons.
DOI: 10.14278/rodare.3637
title: Data publication: Synthesis of nonadentate ligand diethylene glycol-bis(3-aminopropyl ether)-N,N,N′,N′-tetraacetic acid DEGTA and its complexation behavior towards trivalent lanthanides and actinides

description: NMR-spectra of the pure title compound and its complexes with La(III), Sm(III), and Eu(III) at different metal-to-ligand ratios as well as pD values. TRLFS spectra of the title compound with Eu(III) as well as Cm(III). Measured and calculated IR spectra of the title compound and EDTA and EGTA with Eu(III). DFT calculations of the ligand with La(III), Eu(III), and Cm(III) as well as EDTA and EGTA comparisons.
DOI: 10.15468/dl.7h7jjj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynops glaucus Yuan, Jiang, Ding, Zhang & Che, 2013"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000441-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15083758
title: NC Triangle dataset for FUTURES urban growth model for US-IALE 2019 workshop

description: https://grasswiki.osgeo.org/wiki/FUTURES_land-change_modeling_for_evaluating_innovative_conservation_scenarios
DOI: 10.5281/zenodo.15083757
title: NC Triangle dataset for FUTURES urban growth model for US-IALE 2019 workshop

description: https://grasswiki.osgeo.org/wiki/FUTURES_land-change_modeling_for_evaluating_innovative_conservation_scenarios
DOI: 10.5281/zenodo.14972842
title: Research Data for "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3"

description: This are the underlying research data for the publication "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3". The pre-print publication can be retrieved at DOI: 10.26434/chemrxiv-2024-40vsz via ChemRXiv. The final published version via ACS Langmuir under DOI:
DOI: 10.5281/zenodo.14972841
title: Research Data for "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3"

description: This are the underlying research data for the publication "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3". The pre-print publication can be retrieved at DOI: 10.26434/chemrxiv-2024-40vsz via ChemRXiv; the final published version via ACS Langmuir under DOI: 10.1021/acs.langmuir.4c04833
DOI: 10.5281/zenodo.15083571
title: Research Data for "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3"

description: This are the underlying research data for the publication "Evaluating the effect of oxygen vacancies on the OER activity of LaNiO3". The pre-print publication can be retrieved at DOI: 10.26434/chemrxiv-2024-40vsz via ChemRXiv; the final published version via ACS Langmuir under DOI: 10.1021/acs.langmuir.4c04833
DOI: 10.15468/dl.6bkymz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Geometry POLYGON((-74.93826 -30.15949,-63.65723 -30.15949,-63.65723 -14.96463,-74.93826 -14.96463,-74.93826 -30.15949))",
 "OccurrenceStatus is Present",
 "PublishingOrg is e9f60bdb-217d-4b4e-a22a-2781321220a1",
 "TaxonKey is Cilus gilberti (Abbott, 1899)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000442-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksnahz
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((19.91929 -7.91116,41.08071 -7.91116,41.08071 6.91116,19.91929 6.91116,19.91929 -7.91116))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gorilla beringei beringei"
 ]
}

 The dataset includes 656 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000445-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49avk5
title: Occurrence Download

description: A dataset containing 14890 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tangara desmaresti (Vieillot, 1819)"
 ]
}

 The dataset includes 14890 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000443-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqt9db
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tangara sayaca (Linnaeus, 1766)"
 ]
}

 The dataset includes 591 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000446-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/zpyr-rq2r
title: Measurement of Inorganics in precipitation at Overhalla

description: Measurement of Inorganics in precipitation at Overhalla
DOI: 10.15468/dl.yhjf3c
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-44.52244 6.96117,-44.82581 6.71575,-44.46513 6.47262,-44.10444 6.66458,-44.52244 6.96117))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15083792
title: PARAMETRIC MODELING OF MULTIFUNCTIONAL BUILDINGS IN THE BIM SYSTEM
DOI: 10.5281/zenodo.15083793
title: PARAMETRIC MODELING OF MULTIFUNCTIONAL BUILDINGS IN THE BIM SYSTEM
DOI: 10.4121/aea12d39-4c29-4288-826a-4e062f0dd7b7
title: TU Delft weather station network - Davis weather station data at Green Village

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-GV" at the Green Village in Delft, at a height of 2 meters. The Green Village site is used by the Ruisdael Observatory to test new equipment, perform calibration and develop new hardware/software solutions. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.<br><strong>Note</strong>: This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues: </strong>There are no known issues associated with this dataset.
DOI: 10.4121/aea12d39-4c29-4288-826a-4e062f0dd7b7.v1
title: TU Delft weather station network - Davis weather station data at Green Village

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-GV" at the Green Village in Delft, at a height of 2 meters. The Green Village site is used by the Ruisdael Observatory to test new equipment, perform calibration and develop new hardware/software solutions. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month. New data files will be added every 2-3 months.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.
DOI: 10.4121/aea12d39-4c29-4288-826a-4e062f0dd7b7.v2
title: TU Delft weather station network - Davis weather station data at Green Village

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-GV" at the Green Village in Delft, at a height of 2 meters. The Green Village site is used by the Ruisdael Observatory to test new equipment, perform calibration and develop new hardware/software solutions. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns. The data are mainly intended for educational or scientific research purposes, and not for long-term climate monitoring.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in built environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities.<br><strong>Note</strong>: This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues: </strong>There are no known issues associated with this dataset.
DOI: 10.15468/dl.7bewy2
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((49.99 24.03,111.86 24.03,111.86 52.97,49.99 52.97,49.99 24.03))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes ferrilata Hodgson, 1842"
 ]
}

 The dataset includes 111 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000450-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/f17c67b1-7636-461c-9eb2-87f6d0370d9f
title: Rotterdam Atmospheric Measurement Network RAMN - Davis008 weather station data at Platform zero

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-008" at Platform zero, Rotterdam, The Netherlands. The station is placed on a flat roof, at Galileistraat 33, 3029 AM Rotterdam, at a height of approx. 10 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in urban environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities. This data can be used for scientific purposes, to support urban planning, public health, and climate adaptation strategies. The Rotterdam Atmospheric Measurement Network RAMN was established with the help of TU Delft strategic funds, in collaboration with the Ruisdael Observatory.<br><strong>Note: </strong>data collection started on July 8, 2024. This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known Issues:</strong> There are no known issues associated with this dataset.
DOI: 10.4121/f17c67b1-7636-461c-9eb2-87f6d0370d9f.v1
title: Rotterdam Atmospheric Measurement Network RAMN - Davis008 weather station data at Platform zero

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-008" at Platform zero, Rotterdam, The Netherlands. The station is placed on a flat roof, at Galileistraat 33, 3029 AM Rotterdam, at a height of approx. 10 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month. New data files will be added every 2-3 months.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in urban environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities. This data can be used for scientific purposes, to support urban planning, public health, and climate adaptation strategies. The Rotterdam Atmospheric Measurement Network RAMN was established with the help of TU Delft strategic funds, in collaboration with the Ruisdael Observatory.<br><strong>Note: </strong>data collection started on July 8, 2024.
DOI: 10.4121/f17c67b1-7636-461c-9eb2-87f6d0370d9f.v2
title: Rotterdam Atmospheric Measurement Network RAMN - Davis008 weather station data at Platform zero

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-008" at Platform zero, Rotterdam, The Netherlands. The station is placed on a flat roof, at Galileistraat 33, 3029 AM Rotterdam, at a height of approx. 10 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in urban environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities. This data can be used for scientific purposes, to support urban planning, public health, and climate adaptation strategies. The Rotterdam Atmospheric Measurement Network RAMN was established with the help of TU Delft strategic funds, in collaboration with the Ruisdael Observatory.<br><strong>Note: </strong>data collection started on July 8, 2024. This dataset will be updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known Issues:</strong> There are no known issues associated with this dataset.
DOI: 10.5281/zenodo.15083786
title: Quantum Chemical Data – Time-resolved spectroscopy of a photoactive dinuclear W/Ru(bpy)2 complex: Spec-troscopic evi-dence for a metastable in-termediate with side-on coordi-nated carbonyl ligand

description: Simulated ground and excited state properties of the tungsten complex 1 as well as of the dinuclear ruthenium-tungsten complex 2+, as obtained at the B3LYP/def2svp level of theory within acetonitrile (PCM). Both complexes were investigated within Franck-Condon region (see directory: S0_FC) as well as within several triplet equilibria (see directories: T1_3MC_W, T2_3MLCT_bpy1, T3_3MLCT_bpy2 and T8_3ET).

The folder of each system contains the charge density differences (CDDs) of key electronic transitions (singlet-singlet transitions singlet-triplet transitions: ST).

The spin density of the relaxed triplet ground state (see directories: T1_3MC_W, T2_3MLCT_bpy1, T3_3MLCT_bpy2) and CDDs of spin and dipole allowed triplet-triplet transitions are given. These transitions are correlated to the excited-state absorption signals as investigated by transient absorption spectroscopy.

All fully relaxed equilibrium structures are provided as XYZ files within the respective folders.