cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/53ff51412041242f69cb8ce146222ab9
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-01-17
DOI: 10.6073/pasta/6667b707170b02c9d07c69d02607c6db
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-04-23
DOI: 10.6073/pasta/7fda0eaed302017109b0b7e4cfc95b6a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-08-13
DOI: 10.6073/pasta/8204c04a99b13942852238d5c74a4915
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1993-10-13
DOI: 10.6073/pasta/892d7c8ede02d064862466f63ed20de0
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-06-26
DOI: 10.6073/pasta/8ba0fd0499e0c41a579c4eeeeb90561e
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-03-22
DOI: 10.6073/pasta/f532f76d312c681d0c38b3dadadbec4e
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1993-08-10
DOI: 10.6073/pasta/f5bfdcadd52c8935102d4bde458b34dc
title: Hubbard Brook Experimental Forest: Snow Water Measurements, 1955 - present
DOI: 10.6073/pasta/f779385b7bb54e35b24f6cdca3a76f38
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-03-22
DOI: 10.5061/dryad.dv0qt.1/2.1
title: Phenotypic traits for female Savannah sparrows

description: Made available in DSpace on 2014-07-17T16:21:04Z (GMT). No. of bitstreams: 1
SAVS All Traits Females 7_14.xlsx: 168675 bytes, checksum: 83816c75bac1b334f20d44a55c68e25c (MD5)
DOI: 10.5061/dryad.dv0qt.1/3.1
title: Phenotypic traits for male Savannah sparrows

description: Made available in DSpace on 2014-07-17T16:21:07Z (GMT). No. of bitstreams: 1
SAVS All Traits Males 7_14.xlsx: 156080 bytes, checksum: 9030c19e203dcf529a0d67dd4fffb7a4 (MD5)
DOI: 10.6073/pasta/1ca59f28f47823e84e9f6f81e4a898c8
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-11-17
DOI: 10.6073/pasta/2a69e6d59791b0f473a12d1d0a8d381a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-10-16
DOI: 10.6073/pasta/60308197bd638e6f69e9210cbd3f236f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-06-26
DOI: 10.6073/pasta/66fc3a0f1f1e2c918747463527587337
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2002-07-07
DOI: 10.6073/pasta/8a426dc0a1e51ea0fe549435d0c213af
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-07-12
DOI: 10.6073/pasta/b1d90fb909ea009dc3f2b886491e2ce1
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-07-12
DOI: 10.6073/pasta/ec90b3a6083e420f183a60f9bd12fa1f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-09-14
DOI: 10.6073/pasta/f48d35c50f8970cf60a9942824bd5d70
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-08-13
DOI: 10.5061/dryad.rp7qv.1/6.1
title: Supplementary Methods - 2nd Revision

description: Made available in DSpace on 2014-07-08T14:34:55Z (GMT). No. of bitstreams: 1
LBPaperVersion_sm.tex: 22924 bytes, checksum: efafda3fffcf11d35dc8374a0602fd56 (MD5)
DOI: 10.6073/pasta/42abb3ad5ef10d431d99f8c43547adff
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-07-28
DOI: 10.6073/pasta/440bd701dbd8dc0c742d58716fdd2805
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-12-19
DOI: 10.6073/pasta/7c37c984cec83aafe0d7db600fecfe92
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-04-26
DOI: 10.6073/pasta/7e9d26a4cbd4485c38a4475ba180a08a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1985-12-03
DOI: 10.6073/pasta/a475413d80cb7c35041e71fd4eb9d678
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-08-29
DOI: 10.6073/pasta/c53fcd7cd2e15faac3258e24c9b63507
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-01-04
DOI: 10.6073/pasta/cdee57a7d4d85b59ca303fbcc4c9ccdd
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2002-07-23
DOI: 10.6073/pasta/d4a25c9f834e2f6735e0fd80950c2fbf
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-08-29
DOI: 10.6073/pasta/e19801bc530c380e54e1284c0e13ce9b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-02-21
DOI: 10.6073/pasta/e344006821d97d94cc5648196c6d964f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-04-10
DOI: 10.6073/pasta/f530202841381db9131377566dfdf33b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-06-13
DOI: 10.6073/pasta/fa77f7bd790ce1969a2aa35135d60abe
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1994-11-01
DOI: 10.5061/dryad.rp7qv.1/7.1
title: Supplementary Figures - 2nd Revision

description: Made available in DSpace on 2014-07-08T14:34:58Z (GMT). No. of bitstreams: 1
LBPaperVersion_sf.pdf: 533696 bytes, checksum: 79effd655380f78b7ac443cce9d7e4e5 (MD5)
DOI: 10.6073/pasta/09acd69e7e666308f2336d804c2d2885
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2002-08-24
DOI: 10.6073/pasta/359e9a8ce279ded10a1fa68a1b74c40d
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-03-09
DOI: 10.6073/pasta/680f072cbc9809bc71c17ca334758663
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-07-15
DOI: 10.6073/pasta/9df2379891fdc401fb8285bbedbffaf4
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-06-29
DOI: 10.6073/pasta/df30c619316d972ed4ca42fad10aa8fc
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-09-14
DOI: 10.6073/pasta/e95fafdb56fd50455dd9018987256251
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2002-08-08
DOI: 10.6073/pasta/f5d766281fce988cdc37abbce7439649
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-02-05
DOI: 10.6073/pasta/0c91c265c9de98fe437d1ff9dcc70aab
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-09-30
DOI: 10.6073/pasta/27576e348dd42e262c0213c878fd47ff
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-04-26
DOI: 10.6073/pasta/c28e2ebabc02578dc56882be3d15bc37
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-07-31
DOI: 10.6073/pasta/d6f826d04701b147df46ad30950b075b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2002-09-09
DOI: 10.6073/pasta/0a0523f229a2005243dc7ec001406900
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-08-16
DOI: 10.6073/pasta/3be93b291461fa8955083ea62fd0a20c
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-06-13
DOI: 10.6073/pasta/3c3b06490f193b0e03fd7cd05c9f4329
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-05-12
DOI: 10.6073/pasta/575d95371d3fbf6b2766b901958541e3
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-07-31
DOI: 10.6073/pasta/7f82baabb6243df5d8f5d7efbde98adb
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-09-01
DOI: 10.6073/pasta/a563b9512a3e8dd05e8601faa5a00c00
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-09-17
DOI: 10.6073/pasta/c0aeffe11fd8fb18942721188aa44209
title: Mega-Monsoon Experiment (MegaME) Vegetation Sampling Data from the Sevilleta National Wildlife Refuge, New Mexico (2014 - present)
DOI: 10.6073/pasta/ca693c11c766d9124790b5324a772162
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-12-19
DOI: 10.6073/pasta/d1c3861ec1bd46e4380225d2e067ad9e
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2004-10-16
DOI: 10.6073/pasta/e1a269770f73677b8d66f331c05973e1
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2001-03-18
DOI: 10.6073/pasta/e9f3eeceba5136917d5682c99f39706a
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2001-06-22
DOI: 10.6073/pasta/ea68e4582b8231d8e7dcee0233626885
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-09-01
DOI: 10.6073/pasta/1fc6762e693960e8599794294f55df8c
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1987-01-23
DOI: 10.6073/pasta/4c9dcf3f0a4e724b5b53577a1b831c95
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-12-06
DOI: 10.6073/pasta/4d40c278321c78999f52186ff9d204e4
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1995-11-04
DOI: 10.6073/pasta/51a706c981cbed87dbe0f38d1edd359f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-11-04
DOI: 10.6073/pasta/52f39c4fb3105d2de17f1b394c4cad0c
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1986-10-19
DOI: 10.6073/pasta/a5b740f0a26444bc3f2545c298111887
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2001-07-08
DOI: 10.6073/pasta/cf10a48738feffe2b3bae130b3dba927
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1996-01-07
DOI: 10.6073/pasta/fd4c326c0f2ff03ed09d9cc2c2ef3513
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Konza Prairie LTER collected on 2005-01-20
DOI: 10.6073/pasta/008a6f1b5d2e34f64fa7ffb036b6bddf
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 1994-12-18
DOI: 10.6073/pasta/112c5d863645aa81ee824bec0ff2080d
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 1987-04-29
DOI: 10.6073/pasta/1a149bddf06268c53572b0f37a0aad41
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 1995-01-03
DOI: 10.15156/bio/sh0802618.10fu
title: SH0802618.10FU

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/sh0802619.10fu
title: SH0802619.10FU

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/sh0802620.10fu
title: SH0802620.10FU

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/sh0802621.10fu
title: SH0802621.10FU

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/sh0802622.10fu
title: SH0802622.10FU

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/sh0802623.10fu
title: SH0802623.10FU

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/sh0802624.10fu
title: SH0802624.10FU

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/sh0802625.10fu
title: SH0802625.10FU

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/sh0802626.10fu
title: SH0802626.10FU

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/sh0802627.10fu
title: SH0802627.10FU

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.