cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0817906.10fu
title: SH0817906.10FU

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/sh0817907.10fu
title: SH0817907.10FU

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/sh0817908.10fu
title: SH0817908.10FU

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/sh0817909.10fu
title: SH0817909.10FU

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/sh0817910.10fu
title: SH0817910.10FU

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/sh0817911.10fu
title: SH0817911.10FU

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: 10.18419/darus-2790/1791
title: solution_fullweighting_periodic_2D_2-10_10000_0.raw

description: :unav
DOI: 10.18419/darus-2790/1792
title: advect.4137.err

description: :unav
DOI: 10.18419/darus-2790/1794
title: advect.3964.out

description: :unav
DOI: 10.18419/darus-2790/1795
title: advect.3891.err

description: :unav
DOI: 10.18419/darus-2790/1798
title: advect.3854.out

description: :unav
DOI: 10.18419/darus-2790/1810
title: advect.3885.err

description: :unav
DOI: 10.18419/darus-2790/1811
title: advect.3965.err

description: :unav
DOI: 10.18419/darus-2790/1812
title: advect.3911.err

description: :unav
DOI: 10.18419/darus-2790/1814
title: advect.3814.out

description: :unav
DOI: 10.18419/darus-2790/1815
title: advect.4111.out

description: :unav
DOI: 10.18419/darus-2790/1817
title: advect.3874.err

description: :unav
DOI: 10.18419/darus-2790/1818
title: advect.3929.err

description: :unav
DOI: 10.18419/darus-2790/1819
title: advect.4017.err

description: :unav
DOI: 10.18419/darus-2790/1820
title: advect.3907.err

description: :unav
DOI: 10.18419/darus-2790/1821
title: advect.3890.out

description: :unav
DOI: 10.18419/darus-2790/1822
title: advect.3905.err

description: :unav
DOI: 10.18419/darus-2790/1828
title: advect.3816.out

description: :unav
DOI: 10.21227/ej9e-fp62
title: Multispectral Dataset for parts of the coastal area of Gwadar, Pakistan

description: To test the feasibility of the idea: Using the processed data of sentinel-2 and GlobeLand30 as the input image and ground truth of subspace clustering for land cover classification, a dataset named 'MSI_Gwadar' is created. 'MSI_Gwadar' is a multi-spectral remote sensing image of Gwadar (town and seaport, southwestern Pakistan) and its four regions of interest, which includes MATLAB data files and ground truth files of the study area and its four regions of interest.
DOI: 10.25345/c5zc7s54b
title: MassIVE MSV000094344 - GNPS - root-associated Bacillus albus NNK24 and NDP61
title: This dataset comprises MS-DIAL processed data obtained from the bacterial cell-free supernatant. Before fermentation, fungal biomass was introduced to induce the production of antifungal compounds by bacteria. The strains used in this study were root-associated Bacillus albus strains NNK24 and NDP61.
DOI: 10.6084/m9.figshare.25360483
title: Predicting thermal damage accumulation in plants

description: The thermal death time (TDT) model suggests that the duration an organism can tolerate thermal stress decreases exponentially as the intensity of the temperature becomes more extreme. This model has been used to predict damage accumulation in ectothermic animals and plants under fluctuating thermal conditions. However, the critical assumption of the TDT model, which is additive damage accumulation, remains unverified for plants.We assessed thermal damage in <i>Thymus vulgaris</i> under different heat and cold treatments and used TDT models to predict time to thermal failure of PSII. Additionally, thermal tolerance estimates from previous studies were used to create TDT models to assess the applicability of this framework in plants.We show that thermal damage is additive between 44 to 47 °C and -6.5 to -8 °C and that the TDT model can predict damage accumulation at both temperature extremes. Data from previous studies indicate a broad applicability of this approach across plant species and traits.The TDT framework reveals a thermal tolerance landscape describing the relationship between exposure duration, stress intensity and percentwise damage accumulation. The extreme thermal sensitivity of plants emphasizes that even 1°C increase in future extreme temperatures could impact their mortality and distribution.
DOI: 10.5281/zenodo.10407918
title: Data from:   Mechanisms underpinning the net removal rates of dissolved organic carbon in the global ocean

description: With almost 700 Pg of carbon, marine dissolved organic carbon (DOC) stores more carbon than all living biomass on Earth combined. However, the environmental controls behind the persistence and the spatial patterns of DOC concentrations on basin scale remain largely unknown, precluding quantitative assessments of the fate of this large carbon pool in a changing climate. We present the first global dynamic DOC model in agreement with more than 40,000 DOC observations, in which a feedback between DOC and picoheterotrophs is explicitly included (model of MICrobial-DOC interactions, MICDOC). This dataset contains model output and related information for a global model simulation in which a colimitation of macronutrients and organic carbon on microbial DOC uptake is implemented and explains >70% of the global variation of observed DOC concentrations. It provides the model output, source code and meta data for the simulations performed for the publication (doi: 10.1029/2023GB007912) "Mechanisms Underpinning the Net Removal Rates ofDissolved Organic Carbon in the Global Ocean" by Lennartz et al.
DOI: 10.5281/zenodo.10407919
title: Data from:   Mechanisms underpinning the net removal rates of dissolved organic carbon in the global ocean

description: With almost 700 Pg of carbon, marine dissolved organic carbon (DOC) stores more carbon than all living biomass on Earth combined. However, the environmental controls behind the persistence and the spatial patterns of DOC concentrations on basin scale remain largely unknown, precluding quantitative assessments of the fate of this large carbon pool in a changing climate. We present the first global dynamic DOC model in agreement with more than 40,000 DOC observations, in which a feedback between DOC and picoheterotrophs is explicitly included (model of MICrobial-DOC interactions, MICDOC). This dataset contains model output and related information for a global model simulation in which a colimitation of macronutrients and organic carbon on microbial DOC uptake is implemented and explains >70% of the global variation of observed DOC concentrations. It provides the model output, source code and meta data for the simulations performed for the publication (doi: 10.1029/2023GB007912) "Mechanisms Underpinning the Net Removal Rates ofDissolved Organic Carbon in the Global Ocean" by Lennartz et al.
DOI: 10.6084/m9.figshare.23540549
title: Heritage-BIM for energy simulation: a data exchange method for improved interoperability

description: The use of Building Information Modelling (BIM) for Building Energy Simulation (BES) is challenged by inadequate data integration and unreliable data and geometry conversion. Despite recent efforts to address critical interoperability issues, the effective exchange of data between the two digital environments remains a non-truly fulfilled promise of the digital transformation agenda for the industry. To contribute to the broader community effort in mitigating this deficiency, the present article proposes an alternative method for securing an improved BIM to BES workflow for existing and heritage buildings. The proposed method suggests an alternative way for integrating environmental analysis data to the Heritage BIM model, as well as an easy to develop visual programming process for missing data recovery, through auxiliary exchange operations. The article also presents lessons learned for the geometrical conversion of BIM elements with non-standard and irregular attributes, evaluated through the energy retrofit application of a colonial heritage building. The proposed method demonstrates how visual programming tools and common data exchange formats can supplementary assist existing practises to deal with major interoperability obstacles. The overall findings contribute to current efforts in the field, for the establishment of good practices of using Heritage BIM for energy retrofit architectural interventions.
DOI: 10.6084/m9.figshare.23540549.v2
title: Heritage-BIM for energy simulation: a data exchange method for improved interoperability

description: The use of Building Information Modelling (BIM) for Building Energy Simulation (BES) is challenged by inadequate data integration and unreliable data and geometry conversion. Despite recent efforts to address critical interoperability issues, the effective exchange of data between the two digital environments remains a non-truly fulfilled promise of the digital transformation agenda for the industry. To contribute to the broader community effort in mitigating this deficiency, the present article proposes an alternative method for securing an improved BIM to BES workflow for existing and heritage buildings. The proposed method suggests an alternative way for integrating environmental analysis data to the Heritage BIM model, as well as an easy to develop visual programming process for missing data recovery, through auxiliary exchange operations. The article also presents lessons learned for the geometrical conversion of BIM elements with non-standard and irregular attributes, evaluated through the energy retrofit application of a colonial heritage building. The proposed method demonstrates how visual programming tools and common data exchange formats can supplementary assist existing practises to deal with major interoperability obstacles. The overall findings contribute to current efforts in the field, for the establishment of good practices of using Heritage BIM for energy retrofit architectural interventions.
DOI: 10.5522/04/25370932
title: Dataset for analysis of postnatal contraceptive use among physician mothers in the UK

description: Data from a cross sectional survey of physician mums in the UK about their use of contraception in the postnatal period.  Inclusion criteria for the survey were that people are: less than two years postpartum, aged 30-55 years old, living in the UK, able to read English, and able to provide informed consent. The survey was conducted over a two month period April to June 2021 using REDCap software. Participants were recruited from a range of sources including social media (Facebook, Twitter, Instagram, Peanut) and peer networks via a combination of purposive and snowballing methods. <br>
DOI: 10.5522/04/25370932.v1
title: Dataset for analysis of postnatal contraceptive use among physician mothers in the UK

description: Data from a cross sectional survey of physician mums in the UK about their use of contraception in the postnatal period.  Inclusion criteria for the survey were that people are: less than two years postpartum, aged 30-55 years old, living in the UK, able to read English, and able to provide informed consent. The survey was conducted over a two month period April to June 2021 using REDCap software. Participants were recruited from a range of sources including social media (Facebook, Twitter, Instagram, Peanut) and peer networks via a combination of purposive and snowballing methods. <br>
DOI: 10.21227/mh6q-6008
title: Multispectral Dataset for parts of the coastal area of Gwadar, Pakistan

description: To test the feasibility of the idea: Using the processed data of sentinel-2 and GlobeLand30 as the input image and ground truth of subspace clustering for land cover classification, a dataset named 'MSI_Gwadar' is created.'MSI_Gwadar' is a multi-spectral remote sensing image of Gwadar (town and seaport, southwestern Pakistan) and its four regions of interest, which includes MATLAB data files and ground truth files of the study area and its four regions of interest.
DOI: 10.6084/m9.figshare.25224899
title: Supporting information for Nandintsetseg, B., Chang, J., Sen, O.L., Reyer, C.P.O., Kong, K., Yetemen, O., Ciais, P., Davaadalai, J., Future drought risk and adaptation of pastoralism in Eurasian rangelands. <i>npj Climate and Atmospheric Science</i>. 2024, DOI: 10.1038/s41612-024-00624-2

description: Supporting information for Nandintsetseg, B., Chang, J., Sen, O.L., Reyer, C.P.O., Kong, K., Yetemen, O., Ciais, P., Davaadalai, J., Future drought risk and adaptation of pastoralism in Eurasian rangelands. <i>npj Climate and Atmospheric Science</i>. 2024.
DOI: 10.6084/m9.figshare.25224899.v1
title: Supporting information for Nandintsetseg, B., Chang, J., Sen, O.L., Reyer, C.P.O., Kong, K., Yetemen, O., Ciais, P., Davaadalai, J., Future drought risk and adaptation of pastoralism in Eurasian rangelands. <i>npj Climate and Atmospheric Science</i>. 2024, DOI: 10.1038/s41612-024-00624-2

description: Supporting information for Nandintsetseg, B., Chang, J., Sen, O.L., Reyer, C.P.O., Kong, K., Yetemen, O., Ciais, P., Davaadalai, J., Future drought risk and adaptation of pastoralism in Eurasian rangelands. <i>npj Climate and Atmospheric Science</i>. 2024.
DOI: 10.6084/m9.figshare.24076245
title: R code and data used in the manuscript "<b>A novel framework to examine potential social influence of scientists and NGOs in marine conservation</b>"

description: This folder contains the R codes and data used in a manuscript, <b>A novel framework to examine social influence of scientists and NGOs in marine conservation</b>.
DOI: 10.6084/m9.figshare.24076245.v2
title: R code and data used in the manuscript "<b>A novel framework to examine social influence of scientists and NGOs in marine conservation</b>"

description: This folder contains the R codes and data used in a manuscript, <b>A novel framework to examine social influence of scientists and NGOs in marine conservation</b>.
DOI: 10.25575/51556072
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 51556072

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3901937) on Maria S. Merian (06MM), during the cruise MSM60 (https://csr.seadatanet.org/report/20170050), the 2017/1/9 at -34.499°N, 6.721°E
DOI: 10.25575/54118083
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 54118083

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3901850) on RV OCEANIA (67CE), during the cruise AREX2016 (https://doi.org/10.1016/j.oceano.2016.12.003), the 2016/6/24 at 73.50367°N, 12.20933°E
DOI: 10.25575/54118084
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 54118084

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3901851) on RV OCEANIA (67CE), during the cruise AREX2016 (https://doi.org/10.1016/j.oceano.2016.12.003), the 2016/6/25 at 73.50533°N, 3.99717°E
DOI: 10.25575/54124519
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 54124519

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3901852) on BILIM-2 (89B2), during the cruise DEKOSIM Black Sea (https://csr.seadatanet.org/report/20175630), the 2016/12/6 at 42.18433°N, 29.33517°E
DOI: 10.25575/54769434
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 54769434

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3901853) on BILIM-2 (89B2), during the cruise DEKOSIM Cicilian Basin, the 2016/10/28 at 36.35017°N, 28.65133°E
DOI: 10.25575/63342509
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63342509

description: CTD cast performed along with Argo float deployment(s) (WMO ID 3902132) on THALASSA (35HT), during the cruise PIRATA FR28 (https://doi.org/10.17600/18000404), the 2018/3/29 at 0.50083°N, -10.002°E
DOI: 10.25575/63461636
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63461636

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902929) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/11 at -0.00083°N, -0.00233°E
DOI: 10.25575/63481573
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63481573

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902930) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/13 at -5.99933°N, -0.00033°E
DOI: 10.25575/63517623
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63517623

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902933) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/15 at -6°N, 8.00167°E
DOI: 10.25575/63517626
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63517626

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902934) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/17 at -6.74933°N, 5.00117°E
DOI: 10.25575/63553636
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63553636

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902955) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/22 at -9.00117°N, -10.00483°E
DOI: 10.25575/63596880
title: Conductivity Temperature Depth (CTD) profile with Coriolis database ID 63596880

description: CTD cast performed along with Argo float deployment(s) (WMO ID 6902928) on THALASSA (35HT), during the cruise PIRATA FR29 (https://doi.org/10.17600/18000875), the 2019/3/23 at -6.04517°N, -9.99317°E