cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25422/azu.data.13383014.v1
title: Data for "Versatile soil gas concentration and isotope monitoring: optimization and integration of novel soil gas probes with online trace gas detection"

description: Between 2018 and 2019, we evaluated the integration of a new diffusion-based probe with high-resolution gas trace analyzers using custom soil columns. We measured changes in soil gases, carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), nitrous oxide (N2O) and its isotopes, and volatile organic compounds (VOCs), through different experiments conducted to challenge the sampling system. Similar sampling systems were built at The University of Arizona (System 1) and Aerodyne Research Inc. (System 2). In System 1, we used Dual-laser TILDAS (Aerodyne Research, Inc. (ARI), Billerica, MA, USA) to measure CO2 isotopes and Mini TILDAS (ARI, Billerica, MA, USA) for CO, and CO2. In System 2, we used a novel dual TILDAS analyzer for isotopomers of methane (CH4) and nitrous oxide (NO2), and Proton Transfer Reaction Time Of Flight Mass Spectrometers (PTR-TOF-MS) vocus (ARI, Billerica, MA, USA) for VOCs (more details: Summary systems experiment and figures.pdf).This data set contains the processed data from the results obtained during the different experiments conducted using controlled columns filled with a simple silica matrix to optimize system parameters and obtain representative soil gas samples. It also contains processed data from experiments using real soil; we challenged the capability of the probe to measure changes in soil conditions by mimicking rainfall to rewet soil and by shifting soil redox from anaerobic to aerobic condition.RStudio and R version 3.3.2 (R Studio Team, 2017) was used to combine raw data and metadata analysis from System 1. Igor Pro (version 7, WaveMetrics, Lake Oswego, OR) was used to analyze instrument diagnostic, concentrations and times series and graphics for both systems.Igor Pro software was used under license. Igor Pro scripts were used for data processing and analysis including Aerodyne Research Inc. proprietary scripts for parsing and averaging data and cannot be in a public repository. Vocus data was processed using the Tofware (Aerodyne/TOFWERK A.G.) software package in Igor Pro. Other portions of Igor code used for plotting are available upon request. Raw measurements files (e.g., TILDAS and vocus spectra which are a large set of data) will be available upon request.We are providing data in ASCII (tab delimited) organized in folders structured as PRO for processed data for specific experiments using System 1 and REA for ready-to-use data for graphic analysis (figures). To guide and increase the understanding about how the data was used, a PDF file with a summary of the experiments and the corresponding REA file was included.<i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu.</i>
DOI: 10.25422/azu.data.13277547.v2
title: 2017 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of NE distal lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using Phantom 4 Pro imaging systems, aerial images were acquired over short section of the NE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 16 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 3.5 cm. Both the DTM and orthomosaic products have a spatial resolution of 2.3 cm/pixel, but the DTM has an effective resolution of ~5 cm/pixel. <br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2017-07-25 to 2017-07-28<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i>
DOI: 10.25422/azu.data.13277547.v1
title: 2017 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of NE distal lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using Phantom 4 Pro imaging systems, aerial images were acquired over short section of the NE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 16 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 3.5 cm. Both the DTM and orthomosaic products have a spatial resolution of 2.3 cm/pixel, but the DTM has an effective resolution of ~5 cm/pixel. <br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2017-07-25 to 2017-07-28<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i>
DOI: 10.25380/iastate.8178938.v4
title: High-throughput sequencing (HTS) data of plasmid library subjected to Cas12a cleavage

description: Cas12a (formerly Cpf1) is an RNA-guided endonuclease in the CRISPR-Cas immune system that can be easily programmed for genome editing. To understand the native cleavage specificity and cleavage activity of Cas12a, we employed high-throughput <i>in vitro</i> cleavage assays using a plasmid library (pLibrary). We tested the cleavage activity of three Cas12a orthologs – FnCas12a, LbCas12a and AsCas12a. For each Cas12a ortholog, we used three different crRNA sequences and corresponding target libraries (pLibrary), referred to as pLibrary PS4, EMX1 and CCR5. The data set is the high-throughput sequencing (HTS) reads of pLibrary subjected to cleavage by different Cas12a orthologs. The README file contains details about the content of the HTS data set, and the key to the file names and corresponding samples.<br> This HTS data set supports the research article: "CRISPR-Cas12a has widespread off-target and dsDNA-nicking effects". <br>Previous title: "Pervasive off-target and double-stranded DNA nicking by CRISPR-Cas12a". <br>Version 2: New data set for pLibrary CCR5 uploaded with updated "README" file (v2).<br>Version 3: Data set corrected for pLibrary PS4 with updated "README" file (v3).<br><br>Version 4: "README" file (v4) and reference updated with new title and link to publication.
DOI: 10.25380/iastate.8178938.v3
title: High-throughput sequencing (HTS) data of plasmid library subjected to Cas12a cleavage

description: Cas12a (formerly Cpf1) is an RNA-guided endonuclease in the CRISPR-Cas immune system that can be easily programmed for genome editing. To understand the native cleavage specificity and cleavage activity of Cas12a, we employed high-throughput <i>in vitro</i> cleavage assays using a plasmid library (pLibrary). We tested the cleavage activity of three Cas12a orthologs – FnCas12a, LbCas12a and AsCas12a. For each Cas12a ortholog, we used three different crRNA sequences and corresponding target libraries (pLibrary), referred to as pLibrary PS4, EMX1 and CCR5. The data set is the high-throughput sequencing (HTS) reads of pLibrary subjected to cleavage by different Cas12a orthologs. The README file contains details about the content of the HTS data set, and the key to the file names and corresponding samples.<br> This HTS data set supports the research article: "Pervasive off-target and double-stranded DNA nicking by CRISPR-Cas12a".<br>Version 2: New data set for pLibrary CCR5 uploaded with updated "README" file (v2).<br>Version 3: Data set corrected for pLibrary PS4 with updated "README" file (v3). <br>
DOI: 10.6084/m9.figshare.16988614.v1
title: CSCs data

description: solid-phase extraction (SPE) of cadmium by carbonized <i>Scenedesmus</i> cells (CSC)
DOI: 10.5281/zenodo.5535787
title: Coexisting multi-states in catalytic hydrogen oxidation on rhodium - Supplementary Database 1

description: Supplementary Database 1 to the associated article in Nature Communications (DOI: 10.1038/s41467-021-26855-y) containing the raw data for the results shown in the display items. Experimental conditions, parameters and evaluation procedures are given in the corresponding figure captions and the Methods section of the associated article.
DOI: 10.6084/m9.figshare.16988614
title: CSCs data

description: solid-phase extraction (SPE) of cadmium by carbonized <i>Scenedesmus</i> cells (CSC)
DOI: 10.5281/zenodo.5535786
title: Coexisting multi-states in catalytic hydrogen oxidation on rhodium - Supplementary Database 1

description: Supplementary Database 1 to the associated article in Nature Communications (DOI: 10.1038/s41467-021-26855-y) containing the raw data for the results shown in the display items. Experimental conditions, parameters and evaluation procedures are given in the corresponding figure captions and the Methods section of the associated article.
DOI: 10.25646/9266
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25380/iastate.15070029.v1
title: Data for Gangloff et al. 2021. Journal of Heredity. Multiple paternity in garter snakes with evolutionarily divergent life-histories

description: Reproductive and genotype information for study subjects in this study of multiple paternity in garter snakes. Animals are wild-captured Thamnophis elegans (western terrestrial garter snakes), from Lassen County, California, USA. Animals were hand-captured, measured and bled. Pregnant females completed gestation in the laboratory, where reproductive success was noted.
DOI: 10.25380/iastate.12644226.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2003

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2003 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644226.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2003

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2003 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644233.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644233.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2003 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.5281/zenodo.5675451
title: Pyrrhura roseifrons SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5675450
title: Pyrrhura roseifrons SPAdes preassembly

description: .
DOI: 10.25380/iastate.12644247.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2004

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2004 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.13713589.v1
title: Angle-resolved photoemission spectroscopy(ARPES) , DFT calculations and theoretical description of a weak topological insulator RhBi2

description: We used ultrahigh resolution ARPES, DFT calculations and theoretical model to study the surface state of the weak topological insulator RhBi2. We observed two surface Dirac points from our ARPES data and it has a good agreement with DFT calculations. In addition, we found that there is a saddle point, which is related to a van Hove singularity (VHS), around the Dirac point around the zone boundary. The VHS is expected to enhance the impact of electronic correlations and cause quantum many body instabilities such as superconductivity, ferromagnetism etc.
DOI: 10.25380/iastate.14555830.v1
title: Madden-Julian Oscillation Task Force YOTC-GASS data set

description: This data set is a subset of the Madden-Julian Oscillation (MJO) Task Force & Year of Tropical Convection (YOTC) and the GEWEX Atmosphere System Study (GASS) 20-year climate model simulation data. There are 25 folders that represent the 25 climate model simulations produced by 23 models (three simulations use the same model) from different organizations. The relationships between the simulations are detailed with associated references.<br>
DOI: 10.25380/iastate.14832252.v1
title: SCRATA cubes point clouds and roughness results

description: This dataset contains the 3D scans of replicated casting surfaces as well as Variogram Roughness results for these surfaces. The data can aid the development of new methods for the surface inspection of castings.
DOI: 10.25380/iastate.12645528.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2015

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2015 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645528.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2015

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2015 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644887.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644887.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2006 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645569.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645569.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645600.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2016

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2016 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645600.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2016

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2016 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644947.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12644947.v1
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2008 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645006.v2
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645006.v1
title: A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009

description: This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2009 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645045.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2009

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2009 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.
DOI: 10.25380/iastate.12645805.v2
title: A seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2018

description: This seamless 1 km resolution global nighttime (1:30 AM) land surface temperature dataset in 2018 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.