cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1820856.08fu
title: SH1820856.08FU

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/sh453075.07fu
title: SH453075.07FU

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/sh453076.07fu
title: SH453076.07FU

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/sh1820857.08fu
title: SH1820857.08FU

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/sh1820858.08fu
title: SH1820858.08FU

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: 10.5281/zenodo.7467377
title: Data for "Mid-air Collisions Control the Wavelength of Aeolian Sand Ripples"

description: The results of the numerical simulations mentioned in the paper. The package "ripple formation" contains the bed surface data of the ripple formation simulations. These cases are simulated in a 1m x 0.01m x 0.3m cuboid domain. The initial bed is a flat granular surface of 0.02m in thickness. The density of the fluid rho_f=1.263 kg/m^3; the density of particles rho_p=2650 kg/m^3; the particle diameter d=2.5e-4 m; the kinetic viscosity of the fluid nu=1.49e-5 (m^2)/s. All the settings are based on the wind-blowing sand situation of earth environment. Different wind velocities are tested. "u3, u35, u4, u45..." represent the wind velocity u*=0.3, u*=0.35, u*=0.4, u*=0.45, etc. Variables in the surface.plt file: PX: location in the fluid direction. PY: location in the transverse direction. PZ: bed surface elevation at (PX, PY). DP: not used in this paper. The packages with prefix "preripple-" contain the particle information derived from the pre-rippled simulations. All the settings of them are similar to those in the ripple formation simulations. The right part of the package name declares the changed setting. For example, package "preripple-d200" contains the cases run with a particle diameter d=200 µm (or 2e-4 m), "preripple-rho_f05" contains the cases run with a fluid density rho_f=0.5 kg/m^3. For each run, the wave number of the pre-rippled surface varies every 20 seconds from k=50 to k=500. Variables in the particle_loc.plt file: XP, YP, ZP: particle location. DP: particle diameter. UP, VP, WP: particle velocity. FK: particle flight distance. FZ: particle height from the bed surface. FH: maximum particle height from the bed surface. FG: mid-air colliding counter. FT: particle flight duration time.
DOI: 10.5281/zenodo.7467376
title: Data for "Mid-air Collisions Control the Wavelength of Aeolian Sand Ripples"

description: The results of the numerical simulations mentioned in the paper. The package "ripple formation" contains the bed surface data of the ripple formation simulations. These cases are simulated in a 1m x 0.01m x 0.3m cuboid domain. The initial bed is a flat granular surface of 0.02m in thickness. The density of the fluid rho_f=1.263 kg/m^3; the density of particles rho_p=2650 kg/m^3; the particle diameter d=2.5e-4 m; the kinetic viscosity of the fluid nu=1.49e-5 (m^2)/s. All the settings are based on the wind-blowing sand situation of earth environment. Different wind velocities are tested. "u3, u35, u4, u45..." represent the wind velocity u*=0.3, u*=0.35, u*=0.4, u*=0.45, etc. Variables in the surface.plt file: PX: location in the fluid direction. PY: location in the transverse direction. PZ: bed surface elevation at (PX, PY). DP: not used in this paper. The packages with prefix "preripple-" contain the particle information derived from the pre-rippled simulations. All the settings of them are similar to those in the ripple formation simulations. The right part of the package name declares the changed setting. For example, package "preripple-d200" contains the cases run with a particle diameter d=200 µm (or 2e-4 m), "preripple-rho_f05" contains the cases run with a fluid density rho_f=0.5 kg/m^3. For each run, the wave number of the pre-rippled surface varies every 20 seconds from k=50 to k=500. Variables in the particle_loc.plt file: XP, YP, ZP: particle location. DP: particle diameter. UP, VP, WP: particle velocity. FK: particle flight distance. FZ: particle height from the bed surface. FH: maximum particle height from the bed surface. FG: mid-air colliding counter. FT: particle flight duration time.
DOI: 10.5519/qd.y20axjxg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (908 records)
DOI: 10.34740/kaggle/dsv/4769123
title: YouTube Daily
DOI: 10.6084/m9.figshare.21762737.v4
title: Supplemental tables-R1

description: Supplemental tables 1-2
DOI: 10.34740/kaggle/dsv/4769186
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/4769315
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.21779690.v1
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (INM-CM5-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of INM-CM5-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.34740/kaggle/dsv/4769380
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21779690
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (INM-CM5-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of INM-CM5-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.21779690.v3
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (INM-CM5-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of INM-CM5-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.21779690.v2
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (INM-CM5-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of INM-CM5-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.21779765
title: Seasonal TEM-A Thermal Conductivity Data

description: Heating curves as a function of time of the HP3 mole thermal conductivity experiments for the six measurements conducted during the InSight Mission. Also includes the pressure measured at the landing site. Data is stored in binary MATlab format and ASCII.
DOI: 10.6084/m9.figshare.21779765.v1
title: Seasonal TEM-A Thermal Conductivity Data

description: Heating curves as a function of time of the HP3 mole thermal conductivity experiments for the six measurements conducted during the InSight Mission. Also includes the pressure measured at the landing site. Data is stored in binary MATlab format and ASCII.
DOI: 10.6084/m9.figshare.21779789
title: Seasonal TEM-A Monte-Carlo Results - no TI constraint

description: Results of the Monte-Carlo Simulations giving the successful models that satisfy the constraints of dT&lt;0.17 K. Data is given in binary MATlab format as well as figures in .png format.
DOI: 10.6084/m9.figshare.21779789.v1
title: Seasonal TEM-A Monte-Carlo Results - no TI constraint

description: Results of the Monte-Carlo Simulations giving the successful models that satisfy the constraints of dT&lt;0.17 K. Data is given in binary MATlab format as well as figures in .png format.
DOI: 10.6084/m9.figshare.21779792
title: Seasonal TEM-A Monte-Carlo Results - with TI constraint

description: Results of the Monte-Carlo Simulations giving the successful models that satisfy the constraints of dT&lt;0.17 K. Data is given in binary MATlab format as well as figures in .png format.
DOI: 10.6084/m9.figshare.21779792.v1
title: Seasonal TEM-A Monte-Carlo Results - with TI constraint

description: Results of the Monte-Carlo Simulations giving the successful models that satisfy the constraints of dT&lt;0.17 K. Data is given in binary MATlab format as well as figures in .png format.
DOI: 10.34740/kaggle/dsv/4769544
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7030048
title: Arctic specimens in the NHMO Herptile collection 2022

description: All Arctic specimens in the NHMO Herptile collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["Johannessen et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.5281/zenodo.7030047
title: Arctic specimens in the NHMO Herptile collection 2022

description: All Arctic specimens in the NHMO Herptile collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["Johannessen et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.5281/zenodo.7036061
title: Arctic specimens in the NHMO Insect collection 2022 - Jan Mayen

description: Arctic specimens from Jan Mayen in the NHMO Insect collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["Johannessen et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.5281/zenodo.7036060
title: Arctic specimens in the NHMO Insect collection 2022 - Jan Mayen

description: Arctic specimens from Jan Mayen in the NHMO Insect collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["Johannessen et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.5281/zenodo.7036071
title: * Arctic specimens in the NHMO Insect collection 2022 - Svalbard

description: Arctic specimens from Svalbard in the NHMO Insect collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.5281/zenodo.7036070
title: * Arctic specimens in the NHMO Insect collection 2022 - Svalbard

description: Arctic specimens from Svalbard in the NHMO Insect collection as of August 2022. See Johannessen et al. 2023 "Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)" for further details.
description: {"references": ["et al. 2023. Arctic specimens in the zoological collections at the Natural History Museum, University of Oslo, Norway (NHMO)"]}
DOI: 10.6084/m9.figshare.21779819
title: Climatic conditions and Acacia tortilis tree growth in two range edges

description: This data was used to investigate the climatic drivers for stem growth of acacia trees in two world range edges (Israel and South Africa) four files: 1. dendrometer data from Israeli study site 2. dendrometer data from SA study site 3. combined climatic conditions of both sites 4. lagged effect of the climatic conditions on tree growth
DOI: 10.6084/m9.figshare.21779840
title: Appendices (dataset) for the article «The epistemic nature of the interpretation of meanings "Fables about a kid and a wolf-piper" by H. Skovoroda»

description: <em>The aim of the study was to identify the signs of the epistemic nature of the interpretation of the meanings of H. Skovoroda's "Fables of the Goat and the Piper Wolf" by humanities students aged 17 to 39 studying at one of Ivano-Frankivsk universities.</em> <em>Holism, hypothetical-deductive method, analysis, synthesis, classification, experiment, observation, quantitative-qualitative analysis were chosen as research methods. The methodology included an offer to 25 research subjects aged 17 to 39, who study in the humanitarian field, to read the text "Fables about the goat and the wolf-piper" by G. Frying pans, after which the subjects were asked to fill in a table with sociometric data and complete the following task: "Read the following text. Write down your answer to the question: "How do you understand the content of the read text?".</em> <em>According to the results of the study, general conclusions were formulated: signs of episteme were clearly explained in all reactions according to the four criteria of the analysis of interpretations of the meanings of H. Skovoroda's "Fables of the Goat and the Piper Wolf".</em>
DOI: 10.6084/m9.figshare.21779840.v1
title: Appendices (dataset) for the article «The epistemic nature of the interpretation of meanings "Fables about a kid and a wolf-piper" by H. Skovoroda»

description: <em>The aim of the study was to identify the signs of the epistemic nature of the interpretation of the meanings of H. Skovoroda's "Fables of the Goat and the Piper Wolf" by humanities students aged 17 to 39 studying at one of Ivano-Frankivsk universities.</em> <em>Holism, hypothetical-deductive method, analysis, synthesis, classification, experiment, observation, quantitative-qualitative analysis were chosen as research methods. The methodology included an offer to 25 research subjects aged 17 to 39, who study in the humanitarian field, to read the text "Fables about the goat and the wolf-piper" by G. Frying pans, after which the subjects were asked to fill in a table with sociometric data and complete the following task: "Read the following text. Write down your answer to the question: "How do you understand the content of the read text?".</em> <em>According to the results of the study, general conclusions were formulated: signs of episteme were clearly explained in all reactions according to the four criteria of the analysis of interpretations of the meanings of H. Skovoroda's "Fables of the Goat and the Piper Wolf".</em>
DOI: 10.5517/ccdc.csd.cc274lbb
title: CCDC 2059991: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.cc28w9gy
title: CCDC 2111610: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.cc28w9j0
title: CCDC 2111612: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.cc28w9hz
title: CCDC 2111611: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.cc296mrx
title: CCDC 2121539: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.cc296qqz
title: CCDC 2121631: Experimental Crystal Structure Determination

description: Related Article: Ramiro Barraza, Alexander G. Sertage, Aravind B. Kajjam, Cassandra L. Ward, Jacob C. Lutter, H. Bernhard Schlegel, Matthew J. Allen|2022|Inorg.Chem.|61|19649|doi:10.1021/acs.inorgchem.2c02911
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.