cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3940430
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake GeoTIFF

description: An elevation model of Crater Lake, Oregon, USA Landform features: caldera, cinder cone, lava flow Resolution: 3.33 meter, 5,200 x 5,200 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940429
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake GeoTIFF

description: An elevation model of Crater Lake, Oregon, USA Landform features: caldera, cinder cone, lava flow Resolution: 3.33 meter, 5,200 x 5,200 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940434
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes GeoTIFF

description: An elevation model of Great Sand Dunes, Colorado, USA Landform features: active dune field, sand sheet, sabkha Resolution: 3.3 meter, 5,300 x 5,300 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940433
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes GeoTIFF

description: An elevation model of Great Sand Dunes, Colorado, USA Landform features: active dune field, sand sheet, sabkha Resolution: 3.3 meter, 5,300 x 5,300 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.6073/pasta/8f241b9184b10afa8f6c270bd693c2d8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-4. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-4 site. This is an ONGOING dataset.
DOI: 10.5281/zenodo.3940444
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) GeoTIFF

description: An elevation model of Jackson Hole, Wyoming, USA Landform features: braided river, fluvial terrace Resolution: 2 meter, 4,200 x 4,200height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940443
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) GeoTIFF

description: An elevation model of Jackson Hole, Wyoming, USA Landform features: braided river, fluvial terrace Resolution: 2 meter, 4,200 x 4,200height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.21258/1620430
title: Inventario forestale nazionale svizzero - Tabella n. 891987
DOI: 10.6073/pasta/a57e1e65651ee7fe62a17d18c0b40aaa
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-4. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-4 site. This is an ONGOING dataset.
DOI: 10.5281/zenodo.3940466
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills GeoTIFF

description: An elevation model of Sandhills, Nebraska, USA Landform features: stabilized dune field Resolution: 10 meter, 4,500 x 4,500 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940465
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills GeoTIFF

description: An elevation model of Sandhills, Nebraska, USA Landform features: stabilized dune field Resolution: 10 meter, 4,500 x 4,500 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.6073/pasta/6882f365adafafb63c80c5d9d89eafc8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-4 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.5281/zenodo.3940454
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain GeoTIFF

description: An elevation model of Massanutten Mountain, Virginia, USA Landform features: folded ridges, hogback, water gap, meander Resolution: 10 meter, 3,900 x 3,900 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940453
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain GeoTIFF

description: An elevation model of Massanutten Mountain, Virginia, USA Landform features: folded ridges, hogback, water gap, meander Resolution: 10 meter, 3,900 x 3,900 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.17632/53fk4cht32.1
title: Data for: Annual dynamics of antimicrobials and resistance determinants in flocculent and aerobic granular sludge treatment systems.

description: ###Files description READ ME: Contains additional data about flow, population equivalents, calculations and LOQ values for antimicrobials. Pallares_Vega_2020_waterline_genes_ecoli #Includes information about 16S, ARGs, MGEs and E. coli in the waterline #blaCTX-M
DOI: 10.5281/zenodo.3940729
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake ASCII

description: An elevation model of Crater Lake, Oregon, USA Landform features: caldera, cinder cone, lava flow Resolution: 3.33 meter, 5,200 x 5,200 height samples File format: Esri ASCII grid This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.5281/zenodo.3940427
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake ASCII

description: An elevation model of Crater Lake, Oregon, USA Landform features: caldera, cinder cone, lava flow Resolution: 3.33 meter, 5,200 x 5,200 height samples File format: Esri ASCII grid This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020. Please cite the entire set of models. Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: <em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: 10.1080/15230406.2020.1830856</em>
DOI: 10.6073/pasta/d49613e1d5eae9d25bb055f7b811eaee
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 5 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.21258/1532057
title: Inventaire forestier national suisse - Tableau no 897777
DOI: 10.21258/1608523
title: Inventario forestale nazionale svizzero - Tabella n. 897529
DOI: 10.25345/c5gz1w
title: MassIVE MSV000086604 - Chemodiversity in Aspergillus section Flavi
title: Aspergillus section Flavi includes some of the most famous mycotoxin producing filamentous fungi known to mankind. Most notably, food contaminating species such as A. flavus and A. parasiticus are capable of producing aflatoxins, while other non-toxinogenic species such as A. oryzae and A. sojae are substantially used in biotechnology for production fermented foods, enzymes and small organic compounds. In recent years a number of new species have been included in section Flavi, however these species have been much less studied from a chemical point of view. In this study, we explored one representative strain of a total of 28 fungal species in section Flavi by systematically evaluating the relationship between taxonomy and secondary metabolites with LC-MS/MS analysis for the first time and dereplication through an in-house database and the Global Natural Product Social Molecular Networking (GNPS) platform, which is a powerful tool for large-scale chemotaxonomic analysis of closely related species in genus Aspergillus.
DOI: 10.21258/1541591
title: Inventaire forestier national suisse - Tableau no 898494
DOI: 10.21258/1576485
title: Inventario forestale nazionale svizzero - Tabella n. 897644
DOI: 10.5281/zenodo.4323630
title: MD Data for Patterns in protein flexibility: a comparison of NMR "ensembles", MD trajectories and crystallographic B-factors

description: This data set comprises five zipped directories that contain the scripts and intermediate molecular dynamics (MD) results used in (initially as of April 24, 2017, updated with additional directories on December 15, 2020) a soon to be submitted paper, "Patterns in protein flexibility: a comparison of NMR 'ensembles', MD trajectories and crystallographic B-factors" written by the authors of this entry. An earlier version of this paper is available via BioRxiv, DOI: https://doi.org/10.1101/240655. This paper explores patterns in coordinate variance and coordinate uncertainty in MD trajectories and in protein structures derived from NMR and compares coordinate variances/uncertainties with those crystallographic B-factors. The files, MD_data.zip and MD_data2.zip, each unzip to contain input files and scripts for reproducing the MD trajectories used in this paper (using DESMOND): MD_data.zip contains input files/scripts for the MD trajectories used in the preprint; MD_data2.zip contains input files/scripts for trajectories ran following publication of the preprint. The file btab_analysis_scripts.zip contains key scripts for analyzing those trajectories (following file conversion with VMD and superimposition with THESEUS) in MATLAB (this analysis assumes the presence of the FindCore Toolbox, written by David Snyder and available via the MATLAB Central File Exchange, as well as the MATLAB Statistics and Machine Learning Toolbox). And the files, superimposed_MD_trajectories.zip and superimposed_MD_trajectories2.zip, each unzip to yield the trajectories (superimposed using THESEUS and in PDB multimodel file format) analyzed in the soon to be submitted paper: superimposed_MD_trajectories.zip contains trajectories reported in the preprint and superimposed_MD_trajectories2.zip contains the results of subsequent simulations.
DOI: 10.5281/zenodo.796881
title: MD Data for Patterns in protein flexibility: a comparison of NMR "ensembles", MD trajectories and crystallographic B-factors

description: This data set comprises five zipped directories that contain the scripts and intermediate molecular dynamics (MD) results used in (initially as of April 24, 2017, updated with additional directories on December 15, 2020) a soon to be submitted paper, "Patterns in protein flexibility: a comparison of NMR 'ensembles', MD trajectories and crystallographic B-factors" written by the authors of this entry. An earlier version of this paper is available via BioRxiv, DOI: https://doi.org/10.1101/240655. This paper explores patterns in coordinate variance and coordinate uncertainty in MD trajectories and in protein structures derived from NMR and compares coordinate variances/uncertainties with those crystallographic B-factors. The files, MD_data.zip and MD_data2.zip, each unzip to contain input files and scripts for reproducing the MD trajectories used in this paper (using DESMOND): MD_data.zip contains input files/scripts for the MD trajectories used in the preprint; MD_data2.zip contains input files/scripts for trajectories ran following publication of the preprint. The file btab_analysis_scripts.zip contains key scripts for analyzing those trajectories (following file conversion with VMD and superimposition with THESEUS) in MATLAB (this analysis assumes the presence of the FindCore Toolbox, written by David Snyder and available via the MATLAB Central File Exchange, as well as the MATLAB Statistics and Machine Learning Toolbox). And the files, superimposed_MD_trajectories.zip and superimposed_MD_trajectories2.zip, each unzip to yield the trajectories (superimposed using THESEUS and in PDB multimodel file format) analyzed in the soon to be submitted paper: superimposed_MD_trajectories.zip contains trajectories reported in the preprint and superimposed_MD_trajectories2.zip contains the results of subsequent simulations.
DOI: 10.21258/1579639
title: Inventario forestale nazionale svizzero - Tabella n. 897442
DOI: 10.6073/pasta/bffe3fdd4b9923f1283ee6b8b263c1ed
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 5 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-5 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21258/1559916
title: Inventaire forestier national suisse - Tableau no 897063
DOI: 10.6073/pasta/42a032629d0945ab71e939e3fe590fbf
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 5 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-5 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21258/1536083
title: Inventaire forestier national suisse - Tableau no 897738