cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/serc.11971527
title: Dataset: Mangrove, tidal wetland and seagrass soil carbon stocks along latitudinal gradients

description: Coastal and marine ecosystems have the potential to produce and sequester organic carbon at rates that exceed tropical and temperate forests. Recent recognition of the value of these ecosystems as significant carbon sinks has strengthened worldwide interest in their management, conservation, and restoration for the purpose of climate change mitigation. However, many gaps in understanding carbon sequestration in coastal ecosystems remain, creating challenges for the application coastal ecosystem carbon research at local, regional and global scales. A major limitation is the fact that most research on this topic has been conducted in relatively few temperate and tropical ecosystems, despite a tremendous amount of spatial variability in carbon stocks across gradients of climate, hydrology, geomorphology, and tide range. Additionally, a standardized protocol has not been widely utilized, which would enable more rigorous comparison across ecosystems and climates. The main objective of this research was to apply a standardized method for documenting carbon storage in vegetated coastal ecosystems along latitudinal gradients, including mangroves, tidal wetlands, and seagrass beds. Field sites were located in Twin Cays, Belize, three islands in Bocas del Toro, Panama, the Indian River Lagoon, Florida, Wachapreague, Virginia, three sites in San Francisco Bay, California, and three sites in Kachemak Bay, Alaska. At each mangrove and tidal wetland site, six deep soil cores were retrieved using an open faced gouge corer, ranging in depth from 70 to 496 cm and subsampled at set depth ranges. At each seagrass site, a one meter long piston corer was used to retrieve the core and subsampled using syringes. All samples were dried to a constant weight to determine dry bulk density. Samples were ground with a ball grinder and subsamples were burned in a muffle furnace to determine loss on ignition (LOI). For all seagrass samples, organic carbon was determined by differencing the percent carbon from ashed and unashed samples analyzed with an elemental analyzer. A subset of mangrove and tidal wetland samples were analyzed in an elemental analyzer to determine organic carbon and a relationship between LOI and percent carbon was determined and applied to the remaining samples. Total organic carbon was quantified with depth and summed for each core.
DOI: 10.25573/serc.11971527.v1
title: Dataset: Mangrove, tidal wetland and seagrass soil carbon stocks along latitudinal gradients

description: Coastal and marine ecosystems have the potential to produce and sequester organic carbon at rates that exceed tropical and temperate forests. Recent recognition of the value of these ecosystems as significant carbon sinks has strengthened worldwide interest in their management, conservation, and restoration for the purpose of climate change mitigation. However, many gaps in understanding carbon sequestration in coastal ecosystems remain, creating challenges for the application coastal ecosystem carbon research at local, regional and global scales. A major limitation is the fact that most research on this topic has been conducted in relatively few temperate and tropical ecosystems, despite a tremendous amount of spatial variability in carbon stocks across gradients of climate, hydrology, geomorphology, and tide range. Additionally, a standardized protocol has not been widely utilized, which would enable more rigorous comparison across ecosystems and climates. The main objective of this research was to apply a standardized method for documenting carbon storage in vegetated coastal ecosystems along latitudinal gradients, including mangroves, tidal wetlands, and seagrass beds. Field sites were located in Twin Cays, Belize, three islands in Bocas del Toro, Panama, the Indian River Lagoon, Florida, Wachapreague, Virginia, three sites in San Francisco Bay, California, and three sites in Kachemak Bay, Alaska. At each mangrove and tidal wetland site, six deep soil cores were retrieved using an open faced gouge corer, ranging in depth from 70 to 496 cm and subsampled at set depth ranges. At each seagrass site, a one meter long piston corer was used to retrieve the core and subsampled using syringes. All samples were dried to a constant weight to determine dry bulk density. Samples were ground with a ball grinder and subsamples were burned in a muffle furnace to determine loss on ignition (LOI). For all seagrass samples, organic carbon was determined by differencing the percent carbon from ashed and unashed samples analyzed with an elemental analyzer. A subset of mangrove and tidal wetland samples were analyzed in an elemental analyzer to determine organic carbon and a relationship between LOI and percent carbon was determined and applied to the remaining samples. Total organic carbon was quantified with depth and summed for each core.
DOI: 10.5281/zenodo.7821098
title: Exploring relationships between consistency rules to detect dependencies of inconsistencies (evaluation data)

description: This dataset contains the data used and collected for the evaluation of the paper "Exploring relationships between consistency rules to detect dependencies of inconsistencies"
DOI: 10.5281/zenodo.10034002
title: Exploring Dependencies Among Inconsistencies to Enhance Models Consistency Maintenance (evaluation data)

description: This dataset contains the data used and collected for the evaluation of the paper "Exploring Dependencies Among Inconsistencies to Enhance Models Consistency Maintenance"
DOI: 10.5281/zenodo.7821097
title: Exploring Dependencies Among Inconsistencies to Enhance Models Consistency Maintenance (evaluation data)

description: This dataset contains the data used and collected for the evaluation of the paper "Exploring Dependencies Among Inconsistencies to Enhance Models Consistency Maintenance"
DOI: 10.5281/zenodo.7831239
title: Exploring Consistency Rule Dependencies to Improve Model Consistency Checking (evaluation data)

description: This dataset contains the data used and collected for the evaluation of the paper "Exploring Consistency Rule Dependencies to Improve Model Consistency Checking"
DOI: 10.5281/zenodo.10034313
title: TALABALARDA KREATIV FIKRLASH QOBILYATINI RIVOJLANTIRISH MAZMUNI
DOI: 10.5281/zenodo.10034312
title: TALABALARDA KREATIV FIKRLASH QOBILYATINI RIVOJLANTIRISH MAZMUNI
DOI: 10.5281/zenodo.10034283
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2007

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2007.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10034282
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2007

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2007.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.8379285
title: Synthetic along-track altimetry data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

description: "Synthetic observations" of along-track SSH have been extracted online during the production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and locations where a true SLA observation exists in the AVISO database for the along-track altimetry from the TOPEX, Jason-1, Jason-2 and Jason-3 satellite continuous series over the period 1993-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (monthly to multi-decadal) based on the ISBA hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica.<br> The synthetic along-track SSH dataset from the model is available over the altimetry period (1993-2018) on Zenodo. It is provided there along with a time-mean model SSH (gridded model field) over the same period that can be used as a proxy for mean dynamic topography ("MDT"). See the README file for more information.
DOI: 10.5281/zenodo.10033077
title: Synthetic in-situ T/S data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

description: "Synthetic observations" of in-situ Temperature and Salinity profiles as a function of depth have been extracted online during the  production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and location (in x,y,z dimensions) where a true in-situ profile exists in the ENACT-4 database (Good et al 2013) over the simulation period: 1980-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal)  based on the ISBA-CTRIP hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica. The synthetic  in-situ T/S dataset from the model is available over the period 1993-2018.
See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html
DOI: 10.5281/zenodo.10033076
title: Synthetic in-situ T/S data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

description: "Synthetic observations" of in-situ Temperature and Salinity profiles as a function of depth have been extracted online during the  production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and location (in x,y,z dimensions) where a true in-situ profile exists in the ENACT-4 database (Good et al 2013) over the simulation period: 1980-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal)  based on the ISBA-CTRIP hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica. The synthetic  in-situ T/S dataset from the model is available over the period 1993-2018.
See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html
DOI: 10.5287/ora-rdqm5myvk
title: Routes to insubordination in classical and post-classical Greek: ὅτι and ἵνα in the sentence and discourse grammar.

description: Dataset related to publication: Routes to insubordination in classical and post-classical Greek: ὅτι and ἵνα in the sentence and discourse grammar. In Klaas Bentein & Marja Vierros (eds.), New Light from the East Linguistic Perspectives on Non-Literary Papyri and Related Sources. Helsinki: Helsinki University Press.
DOI: 10.5281/zenodo.8379418
title: Synthetic along-track altimetry data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

description: "Synthetic observations" of along-track SSH have been extracted online during the  production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and locations where a true SLA observation exists in the AVISO database for the along-track altimetry from the TOPEX, Jason-1, Jason-2 and Jason-3 satellite continuous series over the period 1993-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal)  based on the ISBA hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica.This synthetic along-track SSH dataset from the model is available over the altimetry period (1993-2018). It is provided there along with a time-mean model SSH (gridded model field) over the same period that can be used as a proxy for mean dynamic topography ("MDT").
See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html
DOI: 10.5281/zenodo.8379284
title: Synthetic along-track altimetry data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

description: "Synthetic observations" of along-track SSH have been extracted online during the  production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and locations where a true SLA observation exists in the AVISO database for the along-track altimetry from the TOPEX, Jason-1, Jason-2 and Jason-3 satellite continuous series over the period 1993-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal)  based on the ISBA hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica.This synthetic along-track SSH dataset from the model is available over the altimetry period (1993-2018). It is provided there along with a time-mean model SSH (gridded model field) over the same period that can be used as a proxy for mean dynamic topography ("MDT").
See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html
DOI: 10.5517/ccdc.csd.cc2bfb37
title: CCDC 2157758: Experimental Crystal Structure Determination

description: Related Article: John M. Ovian, Petra Vojackova, Eric N. Jacobsen|2023|Nature (London)|616|84|doi:10.1038/s41586-023-05804-3
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.cc2bfb48
title: CCDC 2157759: Experimental Crystal Structure Determination

description: Related Article: John M. Ovian, Petra Vojackova, Eric N. Jacobsen|2023|Nature (London)|616|84|doi:10.1038/s41586-023-05804-3
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.cc2bfb59
title: CCDC 2157760: Experimental Crystal Structure Determination

description: Related Article: John M. Ovian, Petra Vojackova, Eric N. Jacobsen|2023|Nature (London)|616|84|doi:10.1038/s41586-023-05804-3
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.cc2bfb6b
title: CCDC 2157761: Experimental Crystal Structure Determination

description: Related Article: John M. Ovian, Petra Vojackova, Eric N. Jacobsen|2023|Nature (London)|616|84|doi:10.1038/s41586-023-05804-3
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.cc2bfdkr
title: CCDC 2157834: Experimental Crystal Structure Determination

description: Related Article: Shiting Zhao, Abdelsalam S. Ali, Xinyu Kong, Yan Zhang, Xiaomin Liu, Melissa A. Skidmore, Craig M. Forsyth, G. Paul Savage, Donghai Wu, Yong Xu, Craig L. Francis|2023|Eur.J.Med.Chem.|246|114982|doi:10.1016/j.ejmech.2022.114982
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.cc2bfdls
title: CCDC 2157835: Experimental Crystal Structure Determination

description: Related Article: Shiting Zhao, Abdelsalam S. Ali, Xinyu Kong, Yan Zhang, Xiaomin Liu, Melissa A. Skidmore, Craig M. Forsyth, G. Paul Savage, Donghai Wu, Yong Xu, Craig L. Francis|2023|Eur.J.Med.Chem.|246|114982|doi:10.1016/j.ejmech.2022.114982
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.cc2bfj0b
title: CCDC 2157941: Experimental Crystal Structure Determination

description: Related Article: Yanni Xia, Yue Sun, Ziheng Liu, Chengjian Zhang, Xinghong Zhang|2023|Angew.Chem.,Int.Ed.|62|e202306731|doi:10.1002/anie.202306731
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.cc2bfj3f
title: CCDC 2157944: Experimental Crystal Structure Determination

description: Related Article: Yanni Xia, Yue Sun, Ziheng Liu, Chengjian Zhang, Xinghong Zhang|2023|Angew.Chem.,Int.Ed.|62|e202306731|doi:10.1002/anie.202306731
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.cc2bgtd1
title: CCDC 2159193: Experimental Crystal Structure Determination

description: Related Article: Raju Biswas, Krishanu Samanta, Sandipan Ghorai, Suman Maji, Ramalingam Natarajan|2023|ACS Omega|8|19625|doi:10.1021/acsomega.3c01146
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: 10.5287/ora-6gpdezr4e
title: Just so you know: Insubordination with ἵνα in (classical and) post-classical Greek.

description: Dataset for the following publication: Just so you know: Insubordination with ἵνα in (classical and) post-classical Greek. In Klaas Bentein, Ezra la Roi & Eleonora Cattafi (eds.), Subordination and Insubordination in Post-Classical Greek: Syntax, Context and Complexity. Berlin; Boston: Mouton De Gruyter.
DOI: 10.5517/ccdc.csd.cc2bgtf2
title: CCDC 2159194: Experimental Crystal Structure Determination

description: Related Article: Raju Biswas, Krishanu Samanta, Sandipan Ghorai, Suman Maji, Ramalingam Natarajan|2023|ACS Omega|8|19625|doi:10.1021/acsomega.3c01146
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.cc2f82wp
title: CCDC 2242102: Experimental Crystal Structure Determination

description: Related Article: Soumen Kumar Dubey, Biplab Biswas, Dibakar Halder, Suman Mallick, Indrajit Saha, Kajal Gupta, Sanjib Giri, Abhay Shankar Patra, Corrado Rizzoli, Ajit Kumar Meikap, Subham Bhattacharjee, Rajat Saha|2023|Cryst.Growth Des.|23|7066|doi:10.1021/acs.cgd.3c00175
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.