cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3264981.08fu
title: SH3264981.08FU

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/sh3264982.08fu
title: SH3264982.08FU

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/sh2109299.08fu
title: SH2109299.08FU

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/sh2109300.08fu
title: SH2109300.08FU

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/sh3264983.08fu
title: SH3264983.08FU

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/sh3264984.08fu
title: SH3264984.08FU

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/sh2109301.08fu
title: SH2109301.08FU

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/sh2109302.08fu
title: SH2109302.08FU

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: 10.5257/iea/pep/2021
title: Projections: Energy Policies of IEA Countries (2021 Edition)

description: The Energy Policies of IEA Countries contains projections for IEA countries that are collected directly from the Member Countries for the series on Energy Policies of IEA Countries. The assumptions used to compile these forecasts vary depending on the country and are not documented centrally by the IEA. These forecasts are not part of the World Energy Outlook model. Energy balances are provided for supply and consumption in million tonnes of oil equivalent (Mtoe). Definitions of products and flows, explanatory notes on the individual country data, indicators (including GDP and population) are included. Where available, data are given for 1960, 1970, 1980, 1990, 2000, 2010, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2030, 2040 and 2050.
DOI: 10.5285/4c545155dfd145a1b02a5d0e577ae37d
title: Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by JRA55 data

description: Monthly output from an integration of the UK Global Ocean, GO6, configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the JRA-55 (Japanese 55-year atmospheric reanalysis: Tsujino, 2018) surface field dataset. GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2020. The sea-ice fields are only available for the period 1989 to 2001. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ba494. The integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1).
DOI: 10.5285/119a5d4795c94d2e94f610647640edc0
title: Monthly ocean and sea-ice output from 1/4° NEMO GO6 integration forced by CORE2 data

description: Monthly output from an integration of the GO6 configuration of the NEMO (Nucleus for European Modelling of the Ocean) ocean and sea-ice model, forced by the CORE2 (Coordinated Ocean-ice Reference Experiments version 2.0) corrected inter-annual forcing (CIAF) surface field dataset. UK Global Ocean GO6 consists of version 3.6 of NEMO and version 5.2.1 of the CICE (Community Ice CodE) sea-ice model, and the present simulation is on the global eORCA025 1/4° grid. The ocean is initialised from a climatology based on the EN3 monthly objective analysis (Ingleby and Huddleston, 2007) averaged over years 2004–2008, and is integrated from 1958 to 2007. The model was run on the Archer supercomputing platform through the Rose/Cylc interface on Puma, and the run ID on the Puma system is u-ap795. The integrations were funded by the Natural Environment Research Council (NERC) under the Atlantic Climate System Integrated Study (ACSIS) project (NE/N018044/1).
DOI: 10.5285/67ad0c489e2b4d18aa152e78f28ae0c0
title: 1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do interannually-varying forced control run (1978 - 2017)

description: The dataset is a 40 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO "extended" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. This is the second of two control runs and was initialised from the end of the 30th year (nominally 1978) of CORE2NYF (Munday et al., 2021), a 3+37 year control run forced with CORE2 (corrected normal year forcing version 2.0) normal year forcing. Forced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation.
DOI: 10.5285/aa4106a7a35246dfb84fb925a7d65650
title: 1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: JRA55-do with absolute wind stress experiment (1988 - 2007)

description: The dataset is a 20 year experiment using a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA (Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports) LTS-M project. It uses the NEMO "extended" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics. The experiment neglects the ocean surface current in the bulk formula calculations for surface fluxes, so-called absolute wind stress. It starts from the end of 1987 of JRA55IAF (Munday et al., 2021). Forced by JRA55-do, an interannually-varying forcing set (Tsujino et al., 2018). With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation.
DOI: 10.5285/2e982e6692e3427dbe35e64ad9dee12d
title: 1/12 degree Nucleus for European Modelling of the Ocean (NEMO) model of the Southern Ocean: CORE2 normal year forced control run (1951-1987)

description: The dataset is a 37 year control run of a NEMO-based 1/12 degree grid spacing model of the Southern Ocean as part of the ORCHESTRA LTS-M project. It uses the NEMO "extended" grid, although ice cavities are closed. The model was run on Archer, the national HPC platform. The dataset covers the full length of the model run (excluding a three year spinup period) and includes regular (5 day mean) output of the model state, as well as more frequent (1 day mean) output of surface variables and fluxes and 1 month mean of more extensive transport diagnostics.
Forced by the GFDL (Geophysical Fluid Dynamics Laboratory) CORE2 (corrected normal year forcing version 2.0) normal year forcing. With some additional forcing as supplied by the UK Met Office (freshwater runoff, tidal friction, geothermal heating) and additional freshwater runoff to suppress polynya formation. Initialised from January of a climatology of ECCOv4r2 (Estimating the Circulation and Climate of the Ocean) in nominal year 1948.
DOI: 10.5281/zenodo.5647350
title: Evaluating the Environmental Efficiency of Bioplastics using Advanced Life Cycle Assessment

description: This repository contains 3 datasets that pertain to a doctoral thesis with the above title.
DOI: 10.5445/ir/1000139603
title: Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce simulations]

description: We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface. This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files
DOI: 10.23636/3m7a-z970
title: May's British and Irish Press Guide and Advertiser's Handbook & Dictionary etc. (1871-1880)

description: Newspaper directories produced and published annually in contemporary 19th Britain by advertising agent Frederick May and successors, containing information on newspapers, magazines and periodicals and arranged in alphabetical and sometimes tabular order. Information for each title included price, publisher, office, political and religious leaning.
DOI: 10.23636/53p3-3a70
title: The Newspaper Press Directory (1846-1880)

description: Newspaper directories produced and published annually in contemporary 19th Britain by advertising agent Charles Mitchell. Newspapers listed primarily listed in alphabetical order of the town the newspaper where the title was published. Information for each title included: features connected with the district such as population and trade; principal towns in district; title, price, day of publication; politics; date of first issue; political leanings and special interests; proprietors and publishers. Some overseas titles information also included in selected years.
DOI: 10.5517/ccdc.csd.cc25yl0r
title: CCDC 2024424: Experimental Crystal Structure Determination

description: Related Article: Matthew T. Whited, Jia Zhang, Anna M. Conley, Senjie Ma, Daron E. Janzen, Daniela Kohen|2021|Angew.Chem.,Int.Ed.|60|1615|doi:10.1002/anie.202011489
DOI: 10.5517/ccdc.csd.cc25yl3v
title: CCDC 2024427: Experimental Crystal Structure Determination

description: Related Article: Matthew T. Whited, Jia Zhang, Anna M. Conley, Senjie Ma, Daron E. Janzen, Daniela Kohen|2021|Angew.Chem.,Int.Ed.|60|1615|doi:10.1002/anie.202011489
DOI: 10.5258/soton/d2025
title: Supporting Data For Thesis Titled "Development and Application of Grand Canonical Methods for Molecular Dynamics Simulations"

description: This dataset contains input files and scripts for simulation and analysis, as would be needed to reproduce the results presented in the thesis titled "Development and Application of Grand Canonical Methods for Molecular Dynamics Simulations", by Marley Samways. Some of these data are already referenced in the following publications: - M. L. Samways, H. E. Bruce Macdonald and J. W. Essex, J. Chem. Inf. Model., 2020, 60, 4436-4441 - M. L. Samways, R. D. Taylor, H. E. Bruce Macdonald and J. W. Essex, Chem. Soc. Rev., 2021, 50, 9104-9120 - J. L. Thomaston, M. L. Samways, A. Konstantinidi, C. Ma, Y. Hu, H. E. Bruce Macdonald, J. Wang, J. W. Essex, W. F. DeGrado and A. Kolocouris, Biochemistry, 2021, 60, 2471-2482
DOI: 10.17632/dc4sm8ygs9.2
title: An Experimental Study of Neural Approaches to Multi-hop Inference in Question Answering

description: This package provides the experimental configurations, data, results, and implementations required to perform an experimental approach to neural inference in question answering.  

The folder structure is as follows:

- Configurations: provides JSON files with all of the configurations that must be tried out during grid search.
- Data: provides the 01K and the 10K bAbI repositories in English (en), Spanish (es), Hindi (hn), and Portuguese (pt). 
- Results: provides the models learnt in H5 format and the experimental results.

The main script is "generate-script.cmd".  It is a factory that generates a command-line script called "run-experiments.cmd" that runs all of the experiments in sequence. The remaining are Python scripts that implement our proposal.

To run the experimentation, please, create a Python enviroment and install the requirements in file "requirements.txt" using PIP.  Activate the enviroment and the execute script "run-experiments.cmd".  Please, realise that the original experimentation took roughly 20 months to complete on a high-end server.
DOI: 10.17632/4z7vkn22tr.2
title: Data for: Stable isotope ratio of Calanus sinicus in the coastal Japan Sea

description: This is the data on the stable isotope ratio of Calanus sinicus in the coastal Japan Sea. The preprint was published in Ocean Science Discussion (https://os.copernicus.org/preprints/os-2021-74/).
DOI: 10.17632/gcnrt8rb29.1
title: Fietz et al., 2021 - OA Dataset

description: Dataset that was collected for publication in S.W. Fietz, M.K. Gingras, J.A. MacEachern, L. Rinke-Hardekopf, and S.E. Dashtgard, 2021. Sedimentology and neoichnology of a muddy translating point bar in the fluvio-tidal transition, Serpentine River, BC, Canada. Sedimentary Geology
Dataset comprises 
1)	Coordinates of 13 boxcores and 15 grab samples at the studied translating point bar are listed. The positions of the boxcores in the lower, middle and upper intertidal zone are indicated. Grab samples were collected from the subtidal zone of the bar. The approximate vertical position of each sample station is given relative to NAD83(CSRS) 4.0.0.BC.1.GVRD 2005-04-05 (horizontal datum).
2)	Raw data of grain size analyses are part of this dataset. Grain size analyses were conducted on 2-3 samples per boxcore and each grab sample. Samples were analyzed using a Malvern Mastersizer Hydro 2000 with a fluid accessory. Results are given in µm. Treatment of samples prior to processing them for grain size analysis is described by Czarnecki et al., (2014). Sieve data are given in mm.
3)	Total organic carbon content (wt%) was measured for 2-3 samples per boxcore and each grab sample, using the Loss-on-Ignition method described by Heiri et al., (2001).
4)	Size-diversity index (SDI) calculations were conducted following the method described by Hauck et al., (2009). SDI is a value derived by multiplying the largest burrow diameter with the diversity of traces observed.
5)	Macrobenthos population counts were conducted for each station in the intertidal zone. Genus and species as well as their abundances at each station are made available.
6)	Salinity (‰) was measured with a digital refractometer at the landward side of the bar and the seaward side of the bar. Date, time and coordinates of the salinity measurement locations are documented.

References: 
Czarnecki, J.M., Dashtgard, S.E., Pospelova, V., Mathewes, R.W., MacEachern, J.A., 2014. Palynology and geochemistry of channel-margin sediments across the tidal-fluvial transition, lower Fraser River, Canada: Implications for the rock record. Marine and Petroleum Geology 51, 152–166.
Hauck, T.E., Dashtgard, S.E., Pemberton, S.G., Gingras, M.K., 2009. Brackish-water ichnological trends in a microtidal barrier island-embayment system, Kouchibouguac National Park, New Brunswick, Canada. Palaios 24, 478–496.
Heiri, O., Lotter, A., Lemcke, G., 2001. Loss on ignition  as a method for estimating organic and carbonate content in sediments: Reproducibility and comparability of results. Journal of Paleolimnology 25, 101–110.
DOI: 10.17632/xwr7cz2rbm.1
title: LINF_190013300

description: ATG8/AUT7/APG8/PAZ2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9dx36smr7p.1
title: LINF_190013400

description: ATG8/AUT7/APG8/PAZ2
Leishmania infantum (strain JPCM5)