cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0877326.10fu
title: SH0877326.10FU

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/sh0877327.10fu
title: SH0877327.10FU

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/sh0877328.10fu
title: SH0877328.10FU

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/sh0877329.10fu
title: SH0877329.10FU

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/sh0877330.10fu
title: SH0877330.10FU

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/sh0877331.10fu
title: SH0877331.10FU

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/sh0877332.10fu
title: SH0877332.10FU

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/sh0877333.10fu
title: SH0877333.10FU

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: 10.5281/zenodo.5762633
title: Pe_model_subduction_data_basic

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_basic.txt.
DOI: 10.5281/zenodo.5762632
title: Sige_model_subduction_data_basic

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_basic.txt.
DOI: 10.5281/zenodo.7113116
title: Sige_model_subduction_data_basic

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_basic.txt.
DOI: 10.14459/2022mp1639092
title: Simulation Results from Multi-decadal Satellite Gravity Simulations on Recoverability of Climate Trends in Next Generation Gravity Missions (NGGMs)

description: The simulation results are supplementary material to Schlaak et al. (in prep.) . The simulations are based on a modeled time series of global changes in soil moisture and snow coverage. The corresponding mass transport signal is obtained from future climate projections until the year 2100 following the shared socio-economic pathway scenario 5-8.5. For different mission concepts, including in-line single-pair missions and a Bender double-pair mission, the recoverability of a time variable mass signal is the time-variable signal is represented by the climate signal in terms of TWS. Here, the Geophysical Fluid Dynamics Laboratory (GFDL) model (H. Guo et al., 2018) is used as it has the best mean match compared with GRACE data and the Coupled Model Intercomparison Project Phase 6 (CMIP6) (L. Jensen et al., 2020)., considering realistic noise assumptions, simulated over several decades. The simulation results for linear trend and annual amplitudes are given in spherical harmonic (SH) coefficients for different simulation intervals considering GRACE-like or NGGM instrument accuracy.
DOI: 10.5281/zenodo.5762763
title: Sige_model_subduction_data_impermeable

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_impermeable.txt.
DOI: 10.5281/zenodo.5762764
title: Pe_model_subduction_data_silica

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_silica.txt.
DOI: 10.5281/zenodo.7113154
title: Sige_model_subduction_data_impermeable

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_impermeable.txt.
DOI: 10.5517/ccdc.csd.cc2bybk6
title: CCDC 2173148: Experimental Crystal Structure Determination

description: Related Article: jingwen shi|2022|CSD Communication|||
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.cc2d0dqk
title: CCDC 2204928: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|CSD Communication|||
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: 10.5281/zenodo.5762765
title: Sige_model_subduction_data_splay

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_splay.txt.
DOI: 10.5281/zenodo.5762766
title: Pe_model_subduction_data_splay

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_splay.txt.
DOI: 10.5281/zenodo.7113171
title: Sige_model_subduction_data_splay

description: This dataset includes the raw data of hydraulic modeling in subduction zones, which are used in the manuscript submitted to JGR by Kaneki & Noda. Details of the dataset can be found in Readme_data_splay.txt.
DOI: 10.5281/zenodo.6793344
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Malta

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund
description: MT; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6793343
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Malta

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund
description: MT; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798906
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Norway

description: This dataset contains the results of the surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: NO; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798905
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Norway

description: This dataset contains the results of the surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: NO; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798885
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Iceland

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: IS; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798884
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Iceland

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: IS; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798804
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - United Kingdom (Northern Ireland)

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund Disclaimer: In accordance with the Agreement on the Withdrawal of the United Kingdom from the EU, and in particular with the Protocol on IE/NI, the EU requirements on data sampling are also applicable to Northern Ireland.
description: UK; NI; XI; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798803
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - United Kingdom (Northern Ireland)

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund Disclaimer: In accordance with the Agreement on the Withdrawal of the United Kingdom from the EU, and in particular with the Protocol on IE/NI, the EU requirements on data sampling are also applicable to Northern Ireland.
description: UK; NI; XI; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798775
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Slovakia

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: SK; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798774
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Slovakia

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: SK; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6798767
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Sweden

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
DOI: 10.5281/zenodo.6798766
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Sweden

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
DOI: 10.5281/zenodo.6798748
title: AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Slovenia

description: This dataset contains the results of the EU co-funded surveillance activities conducted in 2021, which consisted of: Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI). Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.
description: SI; CSV; zoonoses_support@efsa.europa.eu