cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/c5cf9ff1fc6ee6fa2967cec7c3cc59c8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 6 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-6. 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-6 site. This is an ONGOING dataset.
DOI: 10.21258/1589243
title: Inventario forestale nazionale svizzero - Tabella n. 891868
DOI: 10.15468/5k5xvn
title: A new species of Bathynomus A. Milne-Edwards, 1879 (Malacostraca: Peracarida Isopoda: Cirolanidae) from the upper Miocene of the Guadalquivir Basin (Spain)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hyžný, Matúš, Campos, Ildefonso Bajo, Carretero, Joaquín Cárdenas (2020): A new species of Bathynomus A. Milne-Edwards, 1879 (Malacostraca: Peracarida Isopoda: Cirolanidae) from the upper Miocene of the Guadalquivir Basin (Spain). Zootaxa 4819 (1): 159-169, DOI: https://doi.org/10.11646/zootaxa.4819.1.8
DOI: 10.6073/pasta/8e7a6ff2e1074ac1ef1f2e313187dbc5
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 6 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-6 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: 10.21258/1551318
title: Inventaire forestier national suisse - Tableau no 902063
DOI: 10.6073/pasta/4289aceb07538e68e7349efd320a0d31
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 7 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: 10.5281/zenodo.4041965
title: Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans"

description: Electrocorticographic (ECoG) activity from eight human subjects; Electroencephalographic (EEG) activity from seven human subjects; recorded during a simple reaction-time task. For questions, contact Peter Brunner, PhD (brunner@neurotechcenter.org) Code written by Hohyun Cho, PhD (cho@neurotechcenter.org) This repository contains the MATLAB scripts (*.m) used to create the figures of this publication. All non-MATLAB dependencies are included in ./functions. MATLAB versions tested: R2017b to R2020a Before running the scripts, please run "add_path.m" first. <strong>[MATLAB scripts reproducing the figures shown in this publication]</strong> Figure 2: figure2A.m<br> Figure 2: figure2B_and_C.m Figure 2 - Figure supplement 1: figure2_supplement_1.m Figure 2 - Figure supplement 2: figure2_supplement_2.m Figure 2 - Figure supplement 3: figure2_supplement_3.m Figure 2 - Figure supplement 4: figure2_supplement_4.m Figure 3: figure3_erp_analysis.m Figure 3 - Figure supplement 1: figure3_supplement_1_auditory.m<br> Figure 3 - Figure supplement 1: figure3_supplement_1_motor.m Figure 3 - Figure supplement 2: figure3_supplement_2.m Figure 5: figure5.m Figure 5 - Figure supplement 1: figure5_supplement_1.m Figure 5 - Figure supplement 2: figure5_supplement_2A.m<br> Figure 5 - Figure supplement 2: figure5_supplement_2B_auditory.m<br> Figure 5 - Figure supplement 2: figure5_supplement_2B_motor.m <strong>[MATLAB scripts implementing the methods presented in this publication]</strong> removing_addivity_under_3Hz.m <br> - a script for removing effect of additivity from the evoked potentials across all subjects removing_phase_reset_of_ongoing_osillation.m <br> - a script for removing effect of phase resetting within ongoing oscillation from the evoked potentials across all subjects removing_asymmetry_of_ongoing_oscillation.m <br> - a script for removing effect of asymmetry within ongoing oscillation from the evoked potentials across all subjects removing_additive_power.m <br> - a script for removing additive power from the evoked potentials across all subjects removing_addivity_and_phase_reset.m <br> - a script for removing effect of additivity and phase resetting from the evoked potentials across all subjects
DOI: 10.21258/1624777
title: Inventario forestale nazionale svizzero - Tabella n. 898021
DOI: 10.5281/zenodo.4324338
title: Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA

description: MicroRNAs (miRNAs) are important regulators of gene expression. The large-scale detection and profiling of miRNAs has accelerated with the development of high-throughput small RNA sequencing (sRNA-Seq) techniques and bioinformatics tools. However, generating high-quality comprehensive miRNA annotations remains challenging, due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA predictions. Here, we present iwa-miRNA, a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation. iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates, bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets. It can also assist users to select promising miRNA candidates in an interactive mode through the automated and manual steps, contributing to the accessibility and reproducibility of genome-wide miRNA annotation. iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience. With flexible, interactive, and easy-to-use features, iwa-miRNA is a valuable tool for annotation of miRNAs in plant species with reference genomes. We illustrated the application of iwa-miRNA for miRNA annotation of plant species with varying complexity. The sources codes and web server of iwa-miRNA is freely accessible at: http://iwa-miRNA.omicstudio.cloud/.
DOI: 10.5281/zenodo.4324337
title: Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA

description: MicroRNAs (miRNAs) are important regulators of gene expression. The large-scale detection and profiling of miRNAs has accelerated with the development of high-throughput small RNA sequencing (sRNA-Seq) techniques and bioinformatics tools. However, generating high-quality comprehensive miRNA annotations remains challenging, due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA predictions. Here, we present iwa-miRNA, a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation. iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates, bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets. It can also assist users to select promising miRNA candidates in an interactive mode through the automated and manual steps, contributing to the accessibility and reproducibility of genome-wide miRNA annotation. iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience. With flexible, interactive, and easy-to-use features, iwa-miRNA is a valuable tool for annotation of miRNAs in plant species with reference genomes. We illustrated the application of iwa-miRNA for miRNA annotation of plant species with varying complexity. The sources codes and web server of iwa-miRNA is freely accessible at: http://iwa-miRNA.omicstudio.cloud/.
DOI: 10.21258/1579208
title: Inventario forestale nazionale svizzero - Tabella n. 891846
DOI: 10.25919/5f7e3a6d61bef
title: BF2018_V01 Hope Channel Bathymetry 1m resolution Floating Point Geotiff

description: The collection describes a final CSIRO L3 bathymetry product as a gridded 1 metre resolution 32-bit floating point geotiff. The voyage title, 'Hydrographic survey of the Petuna Aquaculture Sites in SW Bass Strait' departed Stanley, Tasmania on the 27th June 2018 and returned to Beauty Point, Tasmania on the 4th July 2018. This survey was a part of a broader mapping campaign that involved a survey of the Boags Commonwealth Marine Reserve. The processed bathymetry data was collected on MV Bluefin Voyage BF2018_V01 with multibeam single head system Kongsberg EM2040c providing a 1.3° by 1.3° beamwidth transmit and receive angular resolution respectively. A long CW pulse was used in the deeper water areas (Boags) and a Medium CW was used in the shallower water sites (Hope Channel & SE Hummock). The bathymetry data were acquiring using Kongsberg’s SIS (Seafloor Information System) software. The echosounder's nominal frequency was 300 kHz and was operated in dual swath mode. Tide corrections were not applied to the final processed dataset. Instead the data was mapped to the ellipsoid (GPS Height) and thereafter reduced to AHD (Australian Height Datum) using the AusGeoid09 model. Processed data has had outliers removed. Auxiliary sensors included an Applanix POS MV for position and motion information (aided with a Fugro Marinestar GNSS G2 subscription signal), a Valeport MiniSVS for sound velocity at the transducer and a Valeport MiniSVP (S/N 34826) for water column sound velocity profiles. (L3 product - Variables mapped on a grid as defined by Multibeam guidelines) http://www.ausseabed.gov.au/__data/assets/pdf_file/0010/95887/Multibeam-Guidelines_v2.pdf
DOI: 10.21258/1547553
title: Inventaire forestier national suisse - Tableau no 897604
DOI: 10.21227/rfcq-ga81
title: Operational data and detailed information of solar farm inverter transformers

description: This dataset contains operational data and detailed information of three inverter transformers in a 3.275 MW PV plant in the outskirt of Brisbane, Australia. The data includes load current, top-oil temperature, moisture in top oil, ambient temperature, solar irradiance and individual current harmonics (up to 31st order). The time interval of the data is either 1 minute or 3 seconds (dependent on the data type). The data can be used to study the ageing of inverter transformers in this PV plant.
DOI: 10.21258/1564917
title: Inventaire forestier national suisse - Tableau no 891831
DOI: 10.6084/m9.figshare.13383191
title: D5-D7_mipsc_normalized_scaled

description: D5-D7_mipsc_normalized_scaled
DOI: 10.6084/m9.figshare.13383191.v1
title: D5-D7_mipsc_normalized_scaled

description: D5-D7_mipsc_normalized_scaled
DOI: 10.21258/1623601
title: Inventario forestale nazionale svizzero - Tabella n. 897516
DOI: 10.21258/1548508
title: Inventaire forestier national suisse - Tableau no 898015
DOI: 10.21258/1610102
title: Inventario forestale nazionale svizzero - Tabella n. 892681
DOI: 10.21258/1604091
title: Inventario forestale nazionale svizzero - Tabella n. 899475
DOI: 10.5281/zenodo.3940732
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes ASCII

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: 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.3940431
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes ASCII

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: 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: 10.6084/m9.figshare.13383212
title: gene_set_scores.csv

description: gene_set_scores.csv
DOI: 10.6084/m9.figshare.13383212.v1
title: gene_set_scores.csv

description: gene_set_scores.csv
DOI: 10.6073/pasta/c6362aa30f77e7f5eff6b761996aecd9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 7 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-7 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: 10.5281/zenodo.3940733
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) ASCII

description: An elevation model of Jackson Hole, Wyoming, USA Landform features: braided river, fluvial terrace Resolution: 2 meter, 4,200 x 4,200 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.3940437
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) ASCII

description: An elevation model of Jackson Hole, Wyoming, USA Landform features: braided river, fluvial terrace Resolution: 2 meter, 4,200 x 4,200 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/4d579a9d30afd9a3f117a2c16763a6b9
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 7 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-7 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: 10.5281/zenodo.3940734
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain ASCII

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: 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 2.0.0 replaced the previous erroneous elevation model of another geographic area. 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.3940445
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain ASCII

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: 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 2.0.0 replaced the previous erroneous elevation model of another geographic area. 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.3940740
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills ASCII

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: 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.3940461
title: Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills ASCII

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: 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: 10.21258/1585480
title: Inventario forestale nazionale svizzero - Tabella n. 899201