cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1575105.08fu
title: SH1575105.08FU

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: 10.6084/m9.figshare.24408292
title: Matlab MAT-file containing model output data used to create Fig 7-9.The data are arranged as a vector (:,[Time,A2_soma,BC,GC],cell_x,cell_y)

description: Output data of the model simulations
DOI: 10.18167/dvn1/mjeyxz
title: MSF (Médecins Sans Frontières) : testimonies

description: A set of testimonies extracted from Médecins Sans Frontières (MSF) website.
DOI: 10.5517/ccdc.csd.cc2chlzg
title: CCDC 2189746: Experimental Crystal Structure Determination

description: Related Article: Paweł Kozyra, Agnieszka Kaczor, Zbigniew Karczmarzyk, Waldemar Wysocki, Monika Pitucha|2023|Struct.Chem.|34|1973|doi:10.1007/s11224-023-02152-w
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.cc2ckvph
title: CCDC 2191907: Experimental Crystal Structure Determination

description: Related Article: Firas F. Awwadi, Mai K.M. Aldokh, Manal I. Alwahsh, Hamdallah A. Hodali|2023|Polyhedron|244|116623|doi:10.1016/j.poly.2023.116623
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.cc2clqk8
title: CCDC 2192740: Experimental Crystal Structure Determination

description: Related Article: Ewa Wagner-Wysiecka, Paulina Szulc, Elżbieta Luboch, Jarosław Chojnacki, Dominika Laskowska, Paulina Miklaszewska, Paweł Sowiński|2023|ChemPlusChem|88|e202300175|doi:10.1002/cplu.202300175
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.cc2clql9
title: CCDC 2192741: Experimental Crystal Structure Determination

description: Related Article: Ewa Wagner-Wysiecka, Paulina Szulc, Elżbieta Luboch, Jarosław Chojnacki, Dominika Laskowska, Paulina Miklaszewska, Paweł Sowiński|2023|ChemPlusChem|88|e202300175|doi:10.1002/cplu.202300175
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.cc2clqmb
title: CCDC 2192742: Experimental Crystal Structure Determination

description: Related Article: Ewa Wagner-Wysiecka, Paulina Szulc, Elżbieta Luboch, Jarosław Chojnacki, Dominika Laskowska, Paulina Miklaszewska, Paweł Sowiński|2023|ChemPlusChem|88|e202300175|doi:10.1002/cplu.202300175
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.cc2clqnc
title: CCDC 2192743: Experimental Crystal Structure Determination

description: Related Article: Ewa Wagner-Wysiecka, Paulina Szulc, Elżbieta Luboch, Jarosław Chojnacki, Dominika Laskowska, Paulina Miklaszewska, Paweł Sowiński|2023|ChemPlusChem|88|e202300175|doi:10.1002/cplu.202300175
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.cc2cmkj3
title: CCDC 2193545: Experimental Crystal Structure Determination

description: Related Article: Jiande Wang, Petru Apostol, Darsi Rambabu, Xiaolong Guo, Xuelian Liu, Koen Robeyns, Mengyuan Du, Shubhadeep Pal, Cristian Morari, Robert Markowski, Fabio Lucaccioni, Alae Eddine Lakraychi, Jean-François Gohy, Deepak Gupta, Alexandru Vlad|2023|Sci. Adv.|9|eadg6079|doi:10.1126/sciadv.adg6079
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.cc2d3v7m
title: CCDC 2208230: Experimental Crystal Structure Determination

description: Related Article: Somnath Bauri, Arya Ramachandran, Arnab Rit|2023|Chem.Asian J.|18|e202201301|doi:10.1002/asia.202201301
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.cc23bdzv
title: CCDC 1946427: Experimental Crystal Structure Determination

description: Related Article: G.J. Gaskin, R.L. LaDuca|2023|IUCrData|8|x230788|doi:10.1107/S2414314623007885
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.cc1m38bb
title: CCDC 1492691: Experimental Crystal Structure Determination

description: Related Article: E.J. Glatz, R.L. LaDuca|2023|IUCrData|8|x230811|doi:10.1107/S2414314623008118
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: 10.18712/nsd-nsd1948-v3
title: Local Elections in Norway, 2003 - 2007, panel

description: The data set is derived from Statistic Norway's local election survey municipal and county council elections in 2003 and 2007, commissioned by Institute of Social Research. The purpose of the survey was to enlighten different sides of the local democracy; elections and election campaigns, political interest and participation. 

The survey deals with the following subjects:
-Political interest
-Voting in municipal, county council and national elections.
-Assessment of the significance of elections
-Assessment of the local democracy and local services
-Municipal challenges
-Municipal organisation
-Information about politics
-Voting for persons in municipal elections
-Political participation

The survey is conducted as telephone interview and self-completion forms. The variables from the telephone interview have names beginning with 'spm', whilst variables from the self-completion questionnaire have variable names starting with 'po'.

To obtain knowledge about changes in the electorate, a part of the sample is derived from the gross sample of the Local Election Surveys in 1999 and 2003 respectively. These panels consists of people in the ages of 22 - 83 years. For the panel to have cross-sectional features, the real panel had to be supplied with persons from cohorts that recently had become eligible to vote during the four intermittent years. The supplementary sample is often characterized as a "false" panel. Variables that started with 'l' are derived from the Local Election Survey of 1999. Variables that are marked with '_03" under "name" are derived from the Local Election Survey of 2003.

Errors in the dataset: Some errors have been discovered in the variables for the questions 35 (A-K), question 36, questions 38 (A-G) and question 39 from the postal questionnaire. All these variables are missing data for the value "6". A value is also missing in the variables for the question battery Po33_A_03 - Po33_K_03, question Po29_03, question Po35_03, question battery Po39_A_03 - Po39_G_03 and question Po40_03. All these variables are missing the value "9".
DOI: 10.5281/zenodo.8416988
title: Alpine plant species converge towards adopting elevation-specific resource-acquisition strategy in response to experimental early snow-melting

description: An experimental to assess the effect of early snow-melting on alpine species at contrasting elevation was established in 2019 at Rohtang (32°22' N; 77°16' E) in western Himalaya. After completion of 02 year of experiment, sampling was performed on 08 alpine plant species. We have collected leaf functional trait and physiological traits during peak growing season (August 2020) from two elevation (3850 and 4150 m) and from control and treatment plots. The trait values of 15 replicates for each species were given here for leaf functional traits (viz. leaf area, specific leaf area, leaf dry matter content, leaf water content, plant height) and  trait values of 05 replicated for each species were given for elemental (Nitrogen % and carbon/nitrogen ratio ) and physiological traits (leaf chlorophyll content, Carotenoid content, Malondialdehyde equivalents, Phenol content, Proline content, Total soluble Sugar content, Total protein content). We have provided trait values from both control and treatment plots. 
description: This research work was funded by Council of Scientific and Industrial Research (CSIR), India (MLP0172, MLP 205) and DST-SERB project CRG/2022/007618.
DOI: 10.5281/zenodo.8416989
title: Alpine plant species converge towards adopting elevation-specific resource-acquisition strategy in response to experimental early snow-melting

description: An experimental to assess the effect of early snow-melting on alpine species at contrasting elevation was established in 2019 at Rohtang (32°22' N; 77°16' E) in western Himalaya. After completion of 02 year of experiment, sampling was performed on 08 alpine plant species. We have collected leaf functional trait and physiological traits during peak growing season (August 2020) from two elevation (3850 and 4150 m) and from control and treatment plots. The trait values of 15 replicates for each species were given here for leaf functional traits (viz. leaf area, specific leaf area, leaf dry matter content, leaf water content, plant height) and  trait values of 05 replicated for each species were given for elemental (Nitrogen % and carbon/nitrogen ratio ) and physiological traits (leaf chlorophyll content, Carotenoid content, Malondialdehyde equivalents, Phenol content, Proline content, Total soluble Sugar content, Total protein content). We have provided trait values from both control and treatment plots. 
description: This research work was funded by Council of Scientific and Industrial Research (CSIR), India (MLP0172, MLP 205) and DST-SERB project CRG/2022/007618.
DOI: 10.5281/zenodo.7752243
title: Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)

description: Model output of the global eddy-rich configuration used in the Geoscientific Model Development publication: "Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)" 


Abstract: This paper describes the global eddying ocean-sea ice simulation produced at the Euro-Mediterranean Center on Climate Change (CMCC) obtained following the experimental design of the Ocean Model Intercomparison Project phase 2 (OMIP2). The eddy-rich model is based on the NEMOv3.6 framework, with a global horizontal resolution of 1/16° and 98 vertical levels, and was originally designed for an operational short-term ocean forecasting system. Here, it is driven by one multi-decadal cycle of the prescribed JRA55-do atmospheric reanalysis and runoff dataset in order to perform a long-term benchmarking experiment.
To access the accuracy of simulated 3D ocean fields, and highlight the relative benefits of mesoscale activities, the GLOB16 performances are evaluated via a selection of key climate metrics against observational datasets and two other NEMO configurations at lower resolutions: an eddy-permitting resolution (ORCA025) and a non-eddying resolution (ORCA1) designed to form the ocean-sea ice component of the fully coupled CMCC climate model. 
The well-known biases in the low-resolution simulations are significantly improved in the high-resolution model. The evolution and spatial pattern of large-scale features (such as sea surface temperature biases and winter mixed layer structure) in GLOB16 are generally better reproduced, and the large-scale circulation is remarkably improved compared to the low-resolution oceans. We find that eddying resolution is an advantage in resolving the structure of western boundary currents, the overturning cells, and flow through key passages. GLOB16 might be an appropriate tool for ocean climate modeling effort, even though the benefit of eddying resolution does not provide unambiguous advances for all ocean variables in all regions.
DOI: 10.5281/zenodo.10024269
title: Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)

description: Model output of the global eddy-rich configuration used in the Geoscientific Model Development publication: "Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)" 


Abstract: This paper describes the global eddying ocean-sea ice simulation produced at the Euro-Mediterranean Center on Climate Change (CMCC) obtained following the experimental design of the Ocean Model Intercomparison Project phase 2 (OMIP2). The eddy-rich model is based on the NEMOv3.6 framework, with a global horizontal resolution of 1/16° and 98 vertical levels, and was originally designed for an operational short-term ocean forecasting system. Here, it is driven by one multi-decadal cycle of the prescribed JRA55-do atmospheric reanalysis and runoff dataset in order to perform a long-term benchmarking experiment.
To access the accuracy of simulated 3D ocean fields, and highlight the relative benefits of mesoscale activities, the GLOB16 performances are evaluated via a selection of key climate metrics against observational datasets and two other NEMO configurations at lower resolutions: an eddy-permitting resolution (ORCA025) and a non-eddying resolution (ORCA1) designed to form the ocean-sea ice component of the fully coupled CMCC climate model. 
The well-known biases in the low-resolution simulations are significantly improved in the high-resolution model. The evolution and spatial pattern of large-scale features (such as sea surface temperature biases and winter mixed layer structure) in GLOB16 are generally better reproduced, and the large-scale circulation is remarkably improved compared to the low-resolution oceans. We find that eddying resolution is an advantage in resolving the structure of western boundary currents, the overturning cells, and flow through key passages. GLOB16 might be an appropriate tool for ocean climate modeling effort, even though the benefit of eddying resolution does not provide unambiguous advances for all ocean variables in all regions.
DOI: 10.5281/zenodo.10025323
title: Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)

description: Model output of the global eddy-rich configuration used in the Geoscientific Model Development publication: "Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)" 


Abstract: This paper describes the global eddying ocean-sea ice simulation produced at the Euro-Mediterranean Center on Climate Change (CMCC) obtained following the experimental design of the Ocean Model Intercomparison Project phase 2 (OMIP2). The eddy-rich model is based on the NEMOv3.6 framework, with a global horizontal resolution of 1/16° and 98 vertical levels, and was originally designed for an operational short-term ocean forecasting system. Here, it is driven by one multi-decadal cycle of the prescribed JRA55-do atmospheric reanalysis and runoff dataset in order to perform a long-term benchmarking experiment.
To access the accuracy of simulated 3D ocean fields, and highlight the relative benefits of mesoscale activities, the GLOB16 performances are evaluated via a selection of key climate metrics against observational datasets and two other NEMO configurations at lower resolutions: an eddy-permitting resolution (ORCA025) and a non-eddying resolution (ORCA1) designed to form the ocean-sea ice component of the fully coupled CMCC climate model. 
The well-known biases in the low-resolution simulations are significantly improved in the high-resolution model. The evolution and spatial pattern of large-scale features (such as sea surface temperature biases and winter mixed layer structure) in GLOB16 are generally better reproduced, and the large-scale circulation is remarkably improved compared to the low-resolution oceans. We find that eddying resolution is an advantage in resolving the structure of western boundary currents, the overturning cells, and flow through key passages. GLOB16 might be an appropriate tool for ocean climate modeling effort, even though the benefit of eddying resolution does not provide unambiguous advances for all ocean variables in all regions.
DOI: 10.5281/zenodo.7752242
title: Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)

description: Model output of the global eddy-rich configuration used in the Geoscientific Model Development publication: "Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2)" 


Abstract: This paper describes the global eddying ocean-sea ice simulation produced at the Euro-Mediterranean Center on Climate Change (CMCC) obtained following the experimental design of the Ocean Model Intercomparison Project phase 2 (OMIP2). The eddy-rich model is based on the NEMOv3.6 framework, with a global horizontal resolution of 1/16° and 98 vertical levels, and was originally designed for an operational short-term ocean forecasting system. Here, it is driven by one multi-decadal cycle of the prescribed JRA55-do atmospheric reanalysis and runoff dataset in order to perform a long-term benchmarking experiment.
To access the accuracy of simulated 3D ocean fields, and highlight the relative benefits of mesoscale activities, the GLOB16 performances are evaluated via a selection of key climate metrics against observational datasets and two other NEMO configurations at lower resolutions: an eddy-permitting resolution (ORCA025) and a non-eddying resolution (ORCA1) designed to form the ocean-sea ice component of the fully coupled CMCC climate model. 
The well-known biases in the low-resolution simulations are significantly improved in the high-resolution model. The evolution and spatial pattern of large-scale features (such as sea surface temperature biases and winter mixed layer structure) in GLOB16 are generally better reproduced, and the large-scale circulation is remarkably improved compared to the low-resolution oceans. We find that eddying resolution is an advantage in resolving the structure of western boundary currents, the overturning cells, and flow through key passages. GLOB16 might be an appropriate tool for ocean climate modeling effort, even though the benefit of eddying resolution does not provide unambiguous advances for all ocean variables in all regions.
DOI: 10.6073/pasta/7cdc34a8ad703f82d8fe43b3e521f02f
title: Snag-fall patterns following stand-replacing fire vary with stem characteristics and topography in subalpine forests of Greater Yellowstone

description: We assessed the stem- and landscape-level drivers of snag persistence and snag-fall mode within the area burned as stand-replacing fire in the 1988 Yellowstone Fires in Yellowstone National Park, Wyoming, USA. Snags were sampled 14-15 years postfire (n = 131) and again in a separate set of plots 34 years postfire (n = 55). Stem characteristics such as species identity (e.g., lodgepole pine, whitebark pine, Engelmann spruce, subalpine fir, and Douglas-fir), diameter at breast height, whether the tree was alive or dead at the time of fire, and the mode of snag-fall (snapping or uprooting) were measured and used to explain patterns of snag persistence and modes of snag-fall. In addition, plot-level environmental variables (e.g., slope, aspect, elevation, stand density) were measured and related to the proportion of stems still standing as snags at 14-15 and 34 years postfire. Data collection is complete and is part of a forthcoming manuscript in revision at Forest Ecology and Management.