cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.djh9w0vw9
title: Volumetric properties of dilute (d-glucose + H2O) solutions at temperatures from (293.15 to 433.15) K and pressures from (0.10 to 50.00) MPa

description: The densities of aqueous solutions of D-glucose were measure at
 temperatures from (293.15 to 433.15) K and pressures from (0.10 to 50.00)
 MPa using a vibrating-tube densimeter.  Apparent molar volumes
 Vφ,m and partial molar volumes at infinite dilution V∞ were calculated
 from the experimental results. V∞ increases as temperature increases and
 varies linearly with temperature above ~300 K. In addition, V∞ does not
 vary as a function of pressure up to 50.0 MPa.  Comparison of
 these results with previous studies indicate excellent agreement and
 significantly extend the experimental database for aqueous solutions of
 D-glucose to elevated temperatures and pressures. 
description: Density measurements were obtained with a commercially available
 Anton Paar vibrating-tube densimeter (DMA HP). A high pressure fluid
 manifold was constructed to deliver the fluids to the densimeter. 
 Densities of pure water and aqueous D-glucose solutions were
 experimentally measured.  The apparent molar volumes calculated from the
 experimentally-determined density data using the molar mass of D-glucose
 (180.15588 g·mol<sup>-1</sup>).  The partial molar volume at
 infinite dilution was determined from the intercept of a least squares fit
 of the apparent molar volume (at constant pressure and
 temperature). 
description: Data include densities, apparant molar volumes and partial molar
 volumes for D-glucose solutions. Uncertainty in density
 is ±0.0001. Uncertainty in apparent molar volume varies
 as a function of concentration.  See fig. 4.
 Uncertainty in parial molar volume at infinite dilution is ±1.0
 cm3/mol.
DOI: 10.15468/dl.azscw5
title: Occurrence Download

description: A dataset containing 2089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus eva"
 ]
}

 The dataset includes 2089 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002103-260126135527185/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.30694889
title: Who is who? Competing coalitions in climate-AFOLU politics in Argentina_AnnexII_SupplementalMaterial

description: Annex II (supplemental material) for the article "Who is who? Competing coalitions in climate-AFOLU politics in Argentina, article per review. Author: Daniel Ryan and Luciana Apaza Laguna
DOI: 10.6084/m9.figshare.30694889.v1
title: Who is who? Competing coalitions in climate-AFOLU politics in Argentina_AnnexII_SupplementalMaterial

description: Annex II (supplemental material) for the article "Who is who? Competing coalitions in climate-AFOLU politics in Argentina, article per review. Author: Daniel Ryan and Luciana Apaza Laguna
DOI: 10.5258/soton/d3754
title: Dataset supporting journal article "Absorber of Topologically Structured Light"

description: This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Optics Express. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript. The data correspond to the data shown in the figures of the manuscript.
DOI: 10.7807/immo:red:hm:v4
title: RWI Real Estate Data- Hausmiete
title: RWI Real Estate Data- Houses for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zur Miete auf der Webseite ImmobilienScout24
description: all houses for rent at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.sjhpxj
title: Occurrence Download

description: A dataset containing 4853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-122.4322634260575 41.9890209156496, -122.44364715147785 41.986986081762375, -122.45427876739775 41.98333231991981, -122.46374901374054 41.97820038196722, -122.47169362466826 41.971787910579316, -122.47780737716187 41.96434177913905, -122.48185580746998 41.95614853661597, -122.4836841472736 41.94752333500259, -122.48322314758228 41.93879777405652, -122.4804915855147 41.93030713717234, -122.47559538120164 41.92237751205879, -122.46872338331887 41.91531329030626, -122.46014000704331 41.90938552149486, -122.45017502315876 41.90482156150656, -122.43921089812353 41.90179640302786, -122.42766816955466 41.90042601113193, -122.41598940794655 41.90076291088, -122.40462236234703 41.90279418982728, -122.39400291446049 41.90644198901172, -122.38453847189162 41.911566464349434, -122.37659241691057 41.91797110928176, -122.37047019238551 41.92541024193249, -122.36640755186086 41.93359837883366, -122.36456142703139 41.94222114527652, -122.36500377449245 41.95094731223558, -122.36771865675323 41.95944150405639, -122.37260269302924 41.96737709182412, -122.37946888711896 41.974448776189114, -122.38805370742442 41.98038437145672, -122.39802716332642 41.98495533023784, -122.40900549858188 41.98798559434243, -122.42056601219569 41.98935842141128, -122.4322634260575 41.9890209156496))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 4853 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005832-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdgkdm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "CollectionCode is BOT",
 "Country is Uruguay"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005833-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17700583
title: ecological assessment of G. gnemon in Maguindanao raw data
DOI: 10.5281/zenodo.17700584
title: ecological assessment of G. gnemon in Maguindanao raw data
DOI: 10.6084/m9.figshare.30694481.v1
title: <b>Canopy height and rainfall mediate tropical cyclone-induced damages to coastal forests over southeastern China</b>

description: The authors declare that the data used in this study are freely available from the following website. The IBTrACS data is downloaded from https://doi.org/10.25921/82ty‐9e16. The Landsat 8 and Landsat 9 data are downloaded from https://earthexplorer.usgs.gov/. MCD43A4 reflectance data is available at https://doi.org/10.5067/MODIS/MCD43A4.061. PlanetScope data is downloaded from https://www.planet.com/. Ground camera images were obtained from the Global Geo-Referenced Field Photo Library (https://www.ceom.ou.edu/photos/). Precipitation dataset was obtained from the Global Precipitation Measurement Release 07 (https://doi.org/10.5067/GPM/IMERG/3B-HH-L/07). Canopy height dataset was obtained at https://doi.org/10.3929/ethz-b-000609802. Forest age data can be accessed at https://www.bgc-jena.mpg.de/geodb/projects/FileDetails.php. Tree cover percentage was extracted from MOD44B Version 6.1 (https://ladsweb.modaps.eosdis.nasa.gov/). Elevation data was obtained from the SRTM digital elevation model(https://bigdata.cgiar.org/).
DOI: 10.13140/rg.2.2.10082.18880
title: A CATARACT THAT GLITTERS
DOI: 10.15468/dl.t4aqe3
title: Occurrence Download

description: A dataset containing 141613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla arborea"
 ]
}

 The dataset includes 141613 records from 1018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005801-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzptam
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 1051 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005834-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzwam6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.5826 35.35462, -119.5844 35.35476, -119.5849 35.35427, -119.5854 35.35285, -119.5838 35.35264, -119.5826 35.35462))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005835-251120083545085/datasets/export for details.
DOI: 10.7807/immo:red:hm:suf:v4
title: RWI Real Estate Data- Hausmiete- suf
title: RWI Real Estate Data- Houses for Rent- suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zur Miete auf der Webseite ImmobilienScout24
description: all houses for rent at ImmobilienScout24
description: full sample
DOI: 10.15468/k6ezkv
title: Inventário da Fauna do Município de Araraquara

description: O município de Araraquara está localizado em uma área de transição entre dois dos mais importantes biomas do planeta, o Cerrado e a Mata Atlântica, classificados pela Conservation International na categoria de Hotspot, ou seja, áreas prioritárias para conservação da biodiversidade. Nestas áreas de transição a diversidade de ambientes e micro-habitats, sugere a presença de uma grande biodiversidade faunística a elas associada. 
Isso já foi confirmado na primeira parte deste projeto publicado em 2016, onde foram identificadas 350 espécies de animais silvestres, destas 31 encontram-se na lista de espécies ameaçadas do Estado de São Paulo (2014), 8 são exóticas introduzidas e 5 nativas introduzidas (Barbosa, 2016).
O que nos surpreende é que este primeiro estudo foi realizado em áreas de grande impacto pela urbanização focado em áreas urbanas da bacia do Ribeirão das Cruzes, Águas do Paiol, e alguns fragmentos de mata no distrito de Bueno de Andrada, contemplando apenas 1.730,06ha de vegetação, ou seja, 11,89% da área de cobertura vegetal que é de 14.557,78ha.
Além de estar entre dois biomas, Araraquara possui em seu território uma amplitude altitudinal de mais de 100 metros, uma rica hidrografia, e um grande território de 100.363,00ha estas características juntas resultam em inúmeros micro-habitats para a fauna, pelas diferentes formas de vegetação encontradas, com características típicas de cerradão em alguns pontos, transições entre floresta estacional semidecidual, mata de galeria e de várzea, acidentes geológicos, variação físicas e químicas dos diferentes corpos hídricos, morfologia do solo, biodiversidade florística, áreas alagadas, rios intermitentes e perenes, áreas de pastagem e reflorestamentos, além de áreas urbanas. 
Toda esta gama de elementos faz desta paisagem um refúgio e corredor ecológico para diversos organismos entre eles, inclusive, algumas espécies ameaçadas, determinando que a manutenção destas áreas seja imprescindível e justificam este trabalho.
Este presente trabalho apresentará o somatório dos dados obtidos no período de 2014-2016 e do estudo atual de 2016-2018. A área total amostrada foi de 4.045,66ha compreendendo as Bacias do Ribeirão das Anhumas, Rio Chibarro, Ribeirão do Ouro, Ribeirão do Lajeado, Ribeirão das Cruzes, Córrego do Boi e Córrego Águas do Paiol.
DOI: 10.6084/m9.figshare.27687282
title: Wind Reversals During Morning and Evening Transitions in a Small Valley

description: The observation data includes three datasets recorded from an observation tower in Innisfree Village, located at the foot of the Blue Ridge Mountains in Virginia, USA. Covering the entire year of 2020 and 2021 with measurements taken every minute, the datasets capture a range of atmospheric and environmental variables.The files “onset_2020” and "onset_2021" record wind speed, gust speed, wind direction, temperature, relative humidity, solar radiation, atmospheric pressure, voltage, current, and rainfall;The files “Rad_Means_2020” and "Rad_Means_2021" provide incoming and outgoing shortwave radiation, and incoming and outgoing longwave radiation;The files “TempRH_Means_2020” and "TempRH_Means_2021" include readings from multiple sensors, including temperature at different heights and relative humidity, as well as target and detector temperatures and voltage.The file “20210521_d03” is the output of domain 3 simulated by WRF on May 21, 2021. The Weather Research and Forecasting (WRF) model (Version 4.4.2) is used in this study. The outmost domain covers an area of 500×500 km with a horizontal grid spacing of 3 km. The horizontal grid spacing decreases to 1 km for d02 and 0.33 km for d03, while d02 and d03 cover an area of 100×100 km and 10×10 km, respectively. There are 56 vertical levels for all the domains with 17 layers below 1.5 km, and the model top is at 52-hPa. The model is driven by NCEP GDAS Final Analysis Data with a horizontal resolution of 0.25°×0.25°. The simulation is initialized at 00:00 UTC of May 21, 2021 (19:00 EST, May 20, 2021) and run for 30 hours until 06:00 UTC of May 22, 2021 (01:00 EST, May 22, 2021). Model output data were saved at 1-minute intervals.
DOI: 10.6084/m9.figshare.27687282.v2
title: Wind Reversals During Morning and Evening Transitions in a Small Valley

description: The observation data includes three datasets recorded from an observation tower in Innisfree Village, located at the foot of the Blue Ridge Mountains in Virginia, USA. Covering the entire year of 2020 and 2021 with measurements taken every minute, the datasets capture a range of atmospheric and environmental variables.The files “onset_2020” and "onset_2021" record wind speed, gust speed, wind direction, temperature, relative humidity, solar radiation, atmospheric pressure, voltage, current, and rainfall;The files “Rad_Means_2020” and "Rad_Means_2021" provide incoming and outgoing shortwave radiation, and incoming and outgoing longwave radiation;The files “TempRH_Means_2020” and "TempRH_Means_2021" include readings from multiple sensors, including temperature at different heights and relative humidity, as well as target and detector temperatures and voltage.The file “20210521_d03” is the output of domain 3 simulated by WRF on May 21, 2021. The Weather Research and Forecasting (WRF) model (Version 4.4.2) is used in this study. The outmost domain covers an area of 500×500 km with a horizontal grid spacing of 3 km. The horizontal grid spacing decreases to 1 km for d02 and 0.33 km for d03, while d02 and d03 cover an area of 100×100 km and 10×10 km, respectively. There are 56 vertical levels for all the domains with 17 layers below 1.5 km, and the model top is at 52-hPa. The model is driven by NCEP GDAS Final Analysis Data with a horizontal resolution of 0.25°×0.25°. The simulation is initialized at 00:00 UTC of May 21, 2021 (19:00 EST, May 20, 2021) and run for 30 hours until 06:00 UTC of May 22, 2021 (01:00 EST, May 22, 2021). Model output data were saved at 1-minute intervals.
DOI: 10.6084/m9.figshare.27687282.v1
title: Wind reversal in gently complex terrain

description: The observation data includes three datasets recorded from an observation tower in Innisfree Village, located at the foot of the Blue Ridge Mountains in Virginia, USA. Covering the entire year of 2020 and 2021 with measurements taken every minute, the datasets capture a range of atmospheric and environmental variables.The files “onset_2020” and "onset_2021" record wind speed, gust speed, wind direction, temperature, relative humidity, solar radiation, atmospheric pressure, voltage, current, and rainfall;The files “Rad_Means_2020” and "Rad_Means_2021" provide incoming and outgoing shortwave radiation, and incoming and outgoing longwave radiation;The files “TempRH_Means_2020” and "TempRH_Means_2021" include readings from multiple sensors, including temperature at different heights and relative humidity, as well as target and detector temperatures and voltage.The file “20210521_d03” is the output of domain 3 simulated by WRF on May 21, 2021. The Weather Research and Forecasting (WRF) model (Version 4.4.2) is used in this study. The outmost domain covers an area of 500×500 km with a horizontal grid spacing of 3 km. The horizontal grid spacing decreases to 1 km for d02 and 0.33 km for d03, while d02 and d03 cover an area of 100×100 km and 10×10 km, respectively. There are 56 vertical levels for all the domains with 17 layers below 1.5 km, and the model top is at 52-hPa. The model is driven by NCEP GDAS Final Analysis Data with a horizontal resolution of 0.25°×0.25°. The simulation is initialized at 00:00 UTC of May 21, 2021 (19:00 EST, May 20, 2021) and run for 30 hours until 06:00 UTC of May 22, 2021 (01:00 EST, May 22, 2021). Model output data were saved at 1-minute intervals.
DOI: 10.15468/dl.krvgtb
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bidens aurea (Aiton) Sherff",
 "Year 2019-2024"
 ]
}

 The dataset includes 311 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013811-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqspg5
title: Occurrence Download

description: A dataset containing 7971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago sativa",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7971 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024781-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dx3rj8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hisonotus aky)",
 "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/0024780-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/av2h2k
title: Microzooplankton, National Pilot Monitoring Studies Phyllophora July 2017, EMBLAS-II

description: Microzooplankton data: species composition, abundance (ind/m3), biomass (mg/m3) collected during the survey of the National Pilot Monitoring Studies Ukraine (NPMS UA) in the Ukrainian waters (North-Western part of the Black Sea) in the area of the Zernov’s Phyllophora Field onboard the M/V "Auguste Piccard" (Ukraine) in July 2017
DOI: 10.15468/dl.g4ks87
title: Occurrence Download

description: A dataset containing 60827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Leucanthemum vulgare Lam.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 60827 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009932-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzngm9
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobium polyanthum"
 ]
}

 The dataset includes 39 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032899-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pw9xs
title: Occurrence Download

description: A dataset containing 120158 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorNet observations"
 ]
}

 The dataset includes 120158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032884-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99c56j
title: Occurrence Download

description: A dataset containing 7889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Strix aluco",
 "Year 2020-2025"
 ]
}

 The dataset includes 7889 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032900-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.