cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/aa/knb.220.1
title: Altitude optimum for 171 forest species for 1905-1985 and 1986-2005 periods.

description: Altitude optimum for 171 forest species for 1905-1985 and 1986-2005 periods. Altitude optimum of a species is defined as the value of altitude that maximizes the presence probability of that species. Presence probability was computed along the gradient of altitude by logistic regression. Curves established with 7982 forest plots (3991 for each period) with complete inventory of vascular plant species and incomplete inventory of mosses.
DOI: 10.5063/aa/knb.221.1
title: USDA PLANTS database

description: A database of plants in the U.S. and North America. Searchable for scientific name, common name, distribution to the county level, invasive/native status and some traits. citation: USDA, NRCS. 2008. The PLANTS Database (http://plants.usda.gov, 30 September 2008). National Plant Data Center, Baton Rouge, LA 70874-4490 USA.
DOI: 10.5063/aa/knb.222.1
title: Forest Inventory and Analysis National Program

description: FIA reports on status and trends in forest area and location; in the species, size, and health of trees; in total tree growth, mortality, and removals by harvest; in wood production and utilization rates by various products; and in forest land ownership. FIA is managed by the Research and Development organization within the USDA Forest Service in cooperation with State and Private Forestry and National Forest Systems. FIA has been in operation under various names (Forest Survey, Forest Inventory and Analysis) for some 70 years. We cover forests on all forest lands within the US.
DOI: 10.5063/aa/knb.225.1
title: Aerial Survey Kelp Forest Canopy Data for Central California 1985-1991

description: Fifty-eight aerial surveys of kelp canopies were done in the study area (Monterey Breakwater to Cooper Point, California) from November 1985 - December 1991. Surveys were approximately monthly from 1985 - 1989, bimonthly in 1990, and quarterly in 1991. The spatial extent of the surveys was reduced incrementally over time (delineated as Zones A-C in Fig. 1). Aerial surveys were conducted by R. F. Van Wagenen of Ecoscan Resources Data (Watsonville, CA) at an altitude of 2500 meters with infrared- sensitive film and standardized to similar conditions of tidal range, sea state, and weather conditions (Graham et al. 1997), although metadata were not available. Aerial images were digitized and georeferenced to create ArcGIS raster files for analysis of spatial and temporal kelp canopy dynamics, including kelp patch persistence through time. This dataset was the product and subject of Michael D. Donnellan's Master's thesis at Moss Landing Marine Laboratories. Data description and methods are adapted from this document (Donnellan, M.S. Dissertation 2004).
DOI: 10.5063/aa/knb.237.1
title: Vascular Plants of the University of Kansas Field Station

description: The University of Kansas Field Station (KUFS) supports a diverse vascular flora of more than 700 species, including 19 species that are rare in Kansas. Principal habitats include deciduous forest, tallgrass prairie, cool-season grassland, aquatic and wetland sites, and land in various stages of ecological succession (old fields and woodlands). A total of 718 species and infraspecific taxa in 371 genera and 103 families of vascular plants are listed. These numbers represent 33% of the species and infraspecific taxa, 51% of the genera, and 71% of the families in Kansas (Brooks 1986).
DOI: 10.5063/aa/knb.242.1
title: Growth of five species of trees on experimental plots on sand tailings left after mining for rutile in Sierra Leone

description: Data consists of the height of five species of trees after 2.5 years of growth; the five species are: â ¢ Gmelina (Gmelina arborea), â ¢ mango (Mangifera indica), â ¢ cashew (Anacardium occidentale), â ¢ citrus (Citrus sinensis) and â ¢ monkey apple (Anisophyllea laurina). Trees were planted on the sand tailings which consit of a very coarse quartz sand (silts and clays are dumped separetly during the processing of the rutile in the â wet plantâ ). The lack of
DOI: 10.5063/aa/knb.244.1
title: (:unkn)
DOI: 10.5063/aa/knb.245.1
title: Caribbean Food Web in Space

description: The Caribbean fish community data set contains the stomach contents of 5526 specimens of 212 species of reef and inshore fishes representing 60 families. Various families, general and species of fishes are groped into major feeding categories, based on their principal food habits as determined from the data.
DOI: 10.5063/aa/knb.245.5
title: Caribbean Food Web in Space

description: The Caribbean fish community data set contains the stomach contents of 5526 specimens of 212 species of reef and inshore fishes representing 60 families. Various families, general and species of fishes are groped into major feeding categories, based on their principal food habits as determined from the data.
DOI: 10.5063/aa/knb.249.1
title: Field voles and microparasite data

description: Â May 2001 - March 2007. Four field vole populations trapped every 28 days (March-November) or every 56 days (November-March), using a 0.3ha grid at grassy sites within a man-made spruce forest, Kielder Forest, UK, (55o13&rsquoN, 2o33&rsquoW). The data set consists of 14,075 captures of 5,981 individual voles. Individuals were identified using subcutaneous microchip transponders. Each time an animal was trapped, data were collected on mass, reproductive condition, and numbers of ticks and fleas. Parasite data includes Anaplasma phagocytophilum, Babesia microti, cowpox virus and Bartonella spp..
DOI: 10.5063/aa/knb.252.2
title: Cary Institute of Ecosystem Studies, Environmental Monitoring Program, Stream Chemistry Data

description: Stream samples were collected at the end of every month at two sites on the East Branch of Wappinger Creek at the Cary Institute of Ecosystem Studies. Before 1996, samples were collected at four sites. Redundancy in the data and cost of analysis prompted us to discontinue collecting samples at two of the sites. The two remaining sites are Site 2 (Fern Glen, GPS coordinates N41.78707, W73.73317) and Site 4 (Lowlands, GPS coordinates N41.79235, W73.74937). Sample collection began in November 1985 (Site 2) and January 1985 (Site 4). Samples were collected when the stream was as near base flow as possible; however, base flow varies seasonally and was generally higher in winter than summer. The samples were analyzed at the Cary Institute Analytical Laboratory for pH, conductivity, NO3-, SO4-2, NH4+, PO4-3, Cl-, Na+, Ca+2, Mg+2, K+ and SiO2 and DOC (see http://www.caryinstitute.org/empdata/metadata/meta_analytable.htm for analytical methods). Samples collected between 1985 and 1998 were not preserved in any way and were stored in the light at room temperature before analyses were completed. Samples from January 1999 onward were preserved as follows. Samples were divided into three aliquots, one aliquot was filtered and preserved with Optima grade concentrated sulfuric acid (0.5 ml per 125 ml of sample) for analysis of NO3-, NH4+, PO4-3, and DOC. Another aliquot was filtered and analyzed for SO4-2, Cl-, Na+, Ca+2, Mg+2, K+ and SiO2. SiO2 analyses were completed within 4 days of sample collection. The third aliquot was untreated and analyzed for conductivity and pH.
DOI: 10.5063/aa/knb.255.1
title: Cary Institute of Ecosystem Studies, Environmental Monitoring Program, Stream Hydrology Data

description: The Cary Institute Environmental Monitoring Program is a long-term program to monitor environmental parameters that are important to natural ecosystems. The program includes monitoring of air, precipitation and stream chemistry as well as meteorological, solar radiation and physical stream parameters. The Cary Institute also hosts sites for two additional programs: The New York State Department of Environmental Conservation Ambient Air Monitoring Program, for ground level ozone and the National Oceanic and Atmospheric Administration (NOAA), U.S. Climate Reference Network (USCRN). For an overview of the program, visit http://www.caryinstitute.org/emp_overview.html.
DOI: 10.5063/aa/knb.268.1
title: Greater Yellowstone Area (USA) Mountain Pine Beetle Brood Productivity Data from 2008 to 2010

description: Data were collected in four wildfire burn areas at least one year post-fire throughout the summers of 2008 to 2010. For each tree sampled, data were recorded on mountain pine beetle entry, mountain pine beetle exit, fire injury category of the tree, percent basal injury, percent bole injury, percent canopy injury, cambium kill rating, diameter of tree at breast height, height of tree, mistletoe rating, blister rust lesion presence, presence of Ips beetles, presence of wood-boring beetles, presence of Pityogenes beetles, burn site name, percent slope of transect, degree aspect of transect, and elevation of transect. The purpose of the data was to measure the brood productivity of mountain pine beetle in lodgepole pines experiencing varying degrees of fire injury.
DOI: 10.5063/aa/knb.270.1
title: Greater Yellowstone Area (USA) Bark Beetle Gallery Area Data from 2008 to 2009

description: Data were collected in four wildfire burn areas at least one year post fire throughout the summers of 2008 and 2009. For each tree sampled, data were recorded on mountain pine beetle gallery area (cm2) within a randomly selected 8 cm2 bark disk, Ips beetle gallery area (cm2) within a randomly selected 8 cm2 bark disk, wood-boring beetle gallery area (cm2) within a randomly selected 8 cm2 bark disk, Pityogenes beetle gallery area (cm2) within a randomly selected 8 cm2 bark disk, fire injury category of the tree, diameter of tree at breast height, height of tree, mistletoe rating, and blister rust lesion presence. The purpose of the data was to measure the ovipositional and larval gallery area of mountain pine beetle and its competitors in lodgepole pines experiencing varying degrees of fire injury.
DOI: 10.6085/aa/ipcvxx_xxxitbpxmsr00_20070101.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitbpxmsr00_20080101.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitbpxmsr00_20090101.50.1
title: PISCO: Intertidal: site temperature data: Partington_Cove (IPCVXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Partington_Cove by PISCO. Measurements were collected using either Stowaway Tidbit Temperature Loggers (Onset Computer Corp TPIC-05+37) or HOBO Pendant Temperature/Light Logger (Onset Computer Corp UA-002-64)
DOI: 10.6085/aa/ipebxx_xxxitbpxmsr00_20070101.50.1
title: PISCO: Intertidal: site temperature data: Pebble_Beach (IPEBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pebble_Beach by PISCO. Measurements were collected using either Stowaway Tidbit Temperature Loggers (Onset Computer Corp TPIC-05+37) or HOBO Pendant Temperature/Light Logger (Onset Computer Corp UA-002-64)
DOI: 10.6085/aa/ipebxx_xxxitbpxmsr00_20080101.50.2
title: PISCO: Intertidal: site temperature data: Pebble_Beach (IPEBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pebble_Beach by PISCO. Measurements were collected using either Stowaway Tidbit Temperature Loggers (Onset Computer Corp TPIC-05+37) or HOBO Pendant Temperature/Light Logger (Onset Computer Corp UA-002-64)
DOI: 10.6085/aa/ipebxx_xxxitbpxmsr00_20090101.40.1
title: (:unkn)
DOI: 10.6085/aa/ipebxx_xxxitbpxmsr00_20090101.50.1
title: PISCO: Intertidal: site temperature data: Pebble_Beach (IPEBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pebble_Beach by PISCO. Measurements were collected using either Stowaway Tidbit Temperature Loggers (Onset Computer Corp TPIC-05+37) or HOBO Pendant Temperature/Light Logger (Onset Computer Corp UA-002-64)
DOI: 10.6085/aa/ipebxx_xxxitbpxmsr00_20090101.50.2
title: PISCO: Intertidal: site temperature data: Pebble_Beach (IPEBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pebble_Beach by PISCO. Measurements were collected using either Stowaway Tidbit Temperature Loggers (Onset Computer Corp TPIC-05+37) or HOBO Pendant Temperature/Light Logger (Onset Computer Corp UA-002-64)
DOI: 10.15156/bio/sh0837742.10fu
title: SH0837742.10FU

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/sh0837743.10fu
title: SH0837743.10FU

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/sh0837744.10fu
title: SH0837744.10FU

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/sh0837745.10fu
title: SH0837745.10FU

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/sh0837746.10fu
title: SH0837746.10FU

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/sh0837747.10fu
title: SH0837747.10FU

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/sh0837748.10fu
title: SH0837748.10FU

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/sh0837749.10fu
title: SH0837749.10FU

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/sh0837750.10fu
title: SH0837750.10FU

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/sh0837751.10fu
title: SH0837751.10FU

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.