cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1408085.10fu
title: SH1408085.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1408086.10fu
title: SH1408086.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1408091.10fu
title: SH1408091.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1408093.10fu
title: SH1408093.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25921/7pd1-a294
title: NOAA/WDS Paleoclimatology - Schweingruber - Ust Nera - LAGM - ITRDB RUSS090

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2019-01-09. NOAA Template Raw Measurements file added 2019-04-08.
DOI: 10.25921/7e77-bw29
title: NOAA/WDS Paleoclimatology - Schweingruber - Willow Lake - PCMA - ITRDB CANA044

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.25921/75t0-3s24
title: NOAA/WDS Paleoclimatology - Stokes - El Salto West Sierra Madre - PSME - ITRDB MEXI008

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.25921/7w6b-0506
title: NOAA/WDS Paleoclimatology - Stahle - Yoakum Log House - QUST - ITRDB TX036

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/7tte-j766
title: NOAA/WDS Paleoclimatology - Schweingruber - Yialia (feucht) - PIBR - ITRDB CYPR013

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2019-01-09. NOAA Template Raw Measurements file added 2019-02-05.
DOI: 10.25921/7g15-gz86
title: NOAA/WDS Paleoclimatology - Touchan - Atera + Bait Hamik + Mafrak Bait Ablak - PIBR - ITRDB SYRI003

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-19. NOAA Template Raw Measurements file added 2019-04-08.
DOI: 10.25921/7eks-pq18
title: NOAA/WDS Paleoclimatology - MacDonald and Case 2005 Pacific Decadal Oscillation Reconstruction for the Past Millennium

description: Hydrologically sensitive tree-ring chronologies from Pinus flexilis in California and Alberta were used to produce an AD 993–1996 reconstruction of the Pacific Decadal Oscillation (PDO) and to assess long-term variability in the PDO's strength and periodicity. The reconstruction indicates that a ∼50 to 70 year periodicity in the PDO is typical for the past 200 years but, was only intermittently a strong mode of variability prior to that. Between AD 1600 and 1800 there is a general absence of significant variability within the 50 to 100 year frequency range. Significant variability within in the frequency range of 50 to 100 years reemerges between AD 1500 and 1300 and AD 1200 to 1000. A prolonged period of strongly negative PDO values between AD 993 and 1300 is contemporaneous with a severe medieval megadrought that is apparent in many proxy hydrologic records for the western United States and Canada.
description: Pacific Decadal Oscillation (PDO) reconstruction based on hydrologically sensitive Pinus flexilis tree-ring chronologies from California and Alberta. Chronologies were developed from living and dead Pinus flexilis trees occurring in open groves on rocky substrates. The California site is located near Mount San Gorgonio (34 deg. 04'N,  116 deg. 29'W) while the Alberta site lies on the flanks of the Rocky Mountains at Whirlpool Point near Nordegg, Alberta (52 deg.0'N 116 deg. 27'W).
DOI: 10.25921/7s09-2t96
title: NOAA/WDS Paleoclimatology - Stockton - Athabasca River - PCGL - ITRDB CANA105

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.15468/dl.t295yy
title: Occurrence Download

description: A dataset containing 18442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanea dentata"
 ]
}

 The dataset includes 18442 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025111-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/73nr-xd38
title: NOAA/WDS Paleoclimatology - Jones et al. 2001 Evolution of Climate Over the Last Millennium

description: Records of past temperature, precipitation, and other climate variables derived from paleoclimate proxies.  Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.
DOI: 10.25921/7ajp-5h38
title: NOAA/WDS Paleoclimatology - Maruoka fire data from Raddue (site 2) - IMPD USRAD001

description: Records of past fire occurrence from tree rings, charcoal found in lake sediments, and other proxies. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.  Additional information on the International Multiproxy Database (IMPD) data set procedures are also available.
DOI: 10.25921/7evb-ge23
title: NOAA/WDS Paleoclimatology - Jacoby - Dalton Highway - PCGL - ITRDB AK104

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/787v-nk38
title: NOAA/WDS Paleoclimatology - Knight - Well's Draw update - PIED - ITRDB UT528

description: In western North America, snowpack has declined in recent decades, and further losses are projected through the 21st century. Here, we evaluate the uniqueness of recent declines using snowpack reconstructions from 66 tree-ring chronologies in key runoff-generating areas of the Colorado, Columbia, and Missouri River drainages. Over the past millennium, late 20th century snowpack reductions are almost unprecedented in magnitude across the northern Rocky Mountains and in their north-south synchrony across the cordillera. Both the snowpack declines and their synchrony result from unparalleled springtime warming that is due to positive reinforcement of the anthropogenic warming by decadal variability. The increasing role of warming on large-scale snowpack variability and trends foreshadows fundamental impacts on streamflow and water supplies across the western United States.
description: Purpose of Collection: Climatology - Snowpack reconstruction.

The Well's Draw Update data set will be re-posted to the ITRDB 
by Troy Knight upon completion of research utilizing the data.
DOI: 10.25921/7bmv-2a15
title: NOAA/WDS Paleoclimatology - Holmes - Grasshopper Trail - JUOC - ITRDB ID006

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/714a-8x94
title: NOAA/WDS Paleoclimatology - Woodhouse - Gould Reservoir - PIED - ITRDB CO605

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/7xk9-qw95
title: NOAA/WDS Paleoclimatology - Cook - Patty's Oaks Blue Ridge Parkway - QUAL - ITRDB VA017

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.6084/m9.figshare.30369046
title: Research Database

description: This research investigates the relationship between <b>community gardens</b> and <b>property value dynamics</b> in urban environments, proposing a quantitative and spatially grounded methodological framework to measure this interaction. Using <b>Caxias do Sul (Brazil)</b> as a case study, the study integrates concepts from <b>urban agriculture, real estate valuation, and spatial analysis</b> to explore how proximity to community gardens influences residential property prices.A dataset of <b>1,157 georeferenced residential properties</b> was compiled from online real estate platforms and municipal GIS records. Data were processed using <b>Python-based automation scripts</b> for scraping, cleaning, geocoding, and calculating geodesic distances between each property and the nearest community garden. The variables analyzed included structural attributes (e.g., floor area, number of rooms, amenities), locational coordinates (latitude and longitude), and spatial proximity to six officially recognized community gardens.Statistical analysis was conducted through <b>multiple regression models</b> implemented in <b>Jamovi</b>, supported by Geographic Information System (GIS) tools to visualize spatial patterns. The global model showed that community garden proximity was <b>not statistically significant</b> across the full dataset; however, segmented analyses by distance bands revealed nuanced effects. Within 1 km, <b>greater proximity was associated with lower unit prices</b>, suggesting a potential perception of disamenity in the immediate surroundings. Conversely, at distances greater than 3 km, property values tended to increase closer to gardens, although these effects were influenced by broader neighborhood characteristics.Further localized analysis of the <b>Reolon community garden</b> confirmed that the spatial context strongly mediates the valuation outcome. Areas with <b>adequate urban infrastructure</b> showed neutral or slightly positive effects, while neighborhoods with <b>deficient sanitation, limited walkability, and low tree coverage</b> exhibited lower property values regardless of garden presence.The findings demonstrate that the <b>impact of community gardens on property values is not uniform</b>, but context-dependent, reflecting social, environmental, and infrastructural conditions of the surrounding urban fabric. The research contributes theoretically by linking <b>urban agriculture and real estate economics</b> through a <b>spatially explicit and replicable method</b>, and practically by offering insights for <b>urban planners, policymakers, and housing developers</b> seeking to integrate green infrastructure into sustainable urban planning.
DOI: 10.6084/m9.figshare.30369046.v1
title: Research Database

description: This research investigates the relationship between <b>community gardens</b> and <b>property value dynamics</b> in urban environments, proposing a quantitative and spatially grounded methodological framework to measure this interaction. Using <b>Caxias do Sul (Brazil)</b> as a case study, the study integrates concepts from <b>urban agriculture, real estate valuation, and spatial analysis</b> to explore how proximity to community gardens influences residential property prices.A dataset of <b>1,157 georeferenced residential properties</b> was compiled from online real estate platforms and municipal GIS records. Data were processed using <b>Python-based automation scripts</b> for scraping, cleaning, geocoding, and calculating geodesic distances between each property and the nearest community garden. The variables analyzed included structural attributes (e.g., floor area, number of rooms, amenities), locational coordinates (latitude and longitude), and spatial proximity to six officially recognized community gardens.Statistical analysis was conducted through <b>multiple regression models</b> implemented in <b>Jamovi</b>, supported by Geographic Information System (GIS) tools to visualize spatial patterns. The global model showed that community garden proximity was <b>not statistically significant</b> across the full dataset; however, segmented analyses by distance bands revealed nuanced effects. Within 1 km, <b>greater proximity was associated with lower unit prices</b>, suggesting a potential perception of disamenity in the immediate surroundings. Conversely, at distances greater than 3 km, property values tended to increase closer to gardens, although these effects were influenced by broader neighborhood characteristics.Further localized analysis of the <b>Reolon community garden</b> confirmed that the spatial context strongly mediates the valuation outcome. Areas with <b>adequate urban infrastructure</b> showed neutral or slightly positive effects, while neighborhoods with <b>deficient sanitation, limited walkability, and low tree coverage</b> exhibited lower property values regardless of garden presence.The findings demonstrate that the <b>impact of community gardens on property values is not uniform</b>, but context-dependent, reflecting social, environmental, and infrastructural conditions of the surrounding urban fabric. The research contributes theoretically by linking <b>urban agriculture and real estate economics</b> through a <b>spatially explicit and replicable method</b>, and practically by offering insights for <b>urban planners, policymakers, and housing developers</b> seeking to integrate green infrastructure into sustainable urban planning.
DOI: 10.25921/73ev-2d20
title: NOAA/WDS Paleoclimatology - St. George - Shay - QUMA - ITRDB CANA187

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-01-27. NOAA Template Raw Measurements file added 2019-02-04.