cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc223w58
title: CCDC 1910349: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223w69
title: CCDC 1910350: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223w7b
title: CCDC 1910351: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/mvpdhzffrw.1
title: Data for: Cavity Ring-down UV spectroscopy of the C2Σ+-X2Π electronic transition of CH

description: PGOPHER 10.0.505 [1] files for each of the vibronic bands (0-0, 1-1, 2-2) of the C-X system of CH. The constants for the ground X2Π state are fixed to those presented in Masseron et al [2]. Constants for the upper C2Σ+ state are floated. Files include assigned transition frequencies. [1] C.M. Western, J. Quant. Spectrosc. Radiat. Transf. 186 (2017) 221-242. doi:10.1016/J.JQSRT.2016.04.010. [2] T. Masseron, B. Plez, S. Van Eck, R. Colin, I. Daoutidis, M. Godefroid, P.-F. Coheur, P. Bernath, A. Jorissen, N. Christlieb, Astron. Astrophys. 571 (2014) A47. doi:10.1051/0004-6361/201423956.
DOI: 10.5517/ccdc.csd.cc223w8c
title: CCDC 1910352: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223w9d
title: CCDC 1910353: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wbf
title: CCDC 1910354: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wcg
title: CCDC 1910355: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wdh
title: CCDC 1910356: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wfj
title: CCDC 1910357: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wgk
title: CCDC 1910358: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223whl
title: CCDC 1910359: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc223wjm
title: CCDC 1910360: Experimental Crystal Structure Determination

description: Related Article: A.Y. Fedorov, D.A. Rychkov, E.A. Losev, T.N. Drebushchak, E.V. Boldyreva|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|598|doi:10.1107/S2053229619005217
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/4rddhmzcjf.1
title: Data for: Water retention and diffusion in unsaturated clays: Connecting atomistic and pore scale simulations

description: Original mean-square displacement fits of random-walk simulations for diffusion in unsaturated clays and derived diffusion coefficients; accessible water contents derived from simulated water retention functions.
DOI: 10.14469/hpc/5588
title: Houk TS1 6-31G(d) benzene IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/5589
title: Houk TS1 6-31G(d) water TS for second bond formation IRC

description: Gaussian Calculation
DOI: 10.6073/pasta/a056d3a87ccabba17280a5383266cdf3
title: Plant succession and biomass dynamics following logging and burning in Watersheds 1 and 3, Andrews Experimental Forest, 1962 to Present

description: There has been long history of geomorphic, hydrological, and ecological study in the experimental watersheds of HJA, which include WS1 and WS3 and the neighboring old-growth basin, WS2. These include comparative studies of sediment yield, stream chemistry, and water flow following whole-basin logging of WS1 and patch-cut logging of WS3, and long-term studies of post-harvest forest development. The latter, initiated in 1962, are among the longest-running and most intensive studies of secondary succession in forests of North America. They are based on two types of permanent plots (understory and overstory), spatially linked to facilitate analyses of overstory-understory interactions. Plots in WS1 and WS3 occur within transects within units of the watersheds. Understory quadrats were established in 1962, prior to harvest, and have been sampled periodically since the watersheds were cut and broadcast burned. They have been used to study how species’ life histories, pre-disturbance composition, disturbance intensity, and overstory development contribute to the long-term dynamics of the understory. These are 2 m by 2 m quadrats where canopy cover, ground conditions, growth forms, species cover and biomass have been monitored. Overstory tree plots were established nearly two decades later (1979-1980) to characterize the early stages of forest development, including the recruitment (ingrowth), growth, and mortality of conifers and hardwoods. These are circular plots (radius=8.92 m) where live trees greater than or equal to 1.37 m tall are measured for diameter at breast height or basal diameter. Remeasurement of these plots occurs on 5 or 6 year intervals.
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr01_20170907.40.1
title: (:unkn)
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr01_20170907.50.1
title: PISCO: Intertidal: mussel growth temperature data: Boiler Bay, Oregon, USA (BBYX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Boiler Bay, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-09-07. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr01_20180501.40.1
title: (:unkn)
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr01_20180501.50.1
title: PISCO: Intertidal: mussel growth temperature data: Boiler Bay, Oregon, USA (BBYX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Boiler Bay, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2018-05-01. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr02_20170907.40.1
title: (:unkn)
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr02_20170907.50.1
title: PISCO: Intertidal: mussel growth temperature data: Boiler Bay, Oregon, USA (BBYX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Boiler Bay, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-09-07. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr02_20180501.40.1
title: (:unkn)
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr02_20180501.50.1
title: PISCO: Intertidal: mussel growth temperature data: Boiler Bay, Oregon, USA (BBYX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Boiler Bay, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2018-05-01. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/bbyx00_xxxitv2xmmr03_20170907.40.1
title: (:unkn)
DOI: 10.15156/bio/sh262973.07fu
title: SH262973.07FU

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/sh262974.07fu
title: SH262974.07FU

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/sh262975.07fu
title: SH262975.07FU

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/sh262976.07fu
title: SH262976.07FU

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/sh262977.07fu
title: SH262977.07FU

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/sh262978.07fu
title: SH262978.07FU

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/sh262979.07fu
title: SH262979.07FU

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/sh262980.07fu
title: SH262980.07FU

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.