cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7947571
title: Resonant Elastic X-ray Scattering of EuIn2As2, obtained from the I16 beamline at the Diamond Light Source

description: Resonant elastic xray scattering data of EuIn2As2 collected at the I16 beamline at the Diamond Light Source. This includes the: 00L dependence, azimuthal dependence at L = 14.3333 and L = 15, temperature dependence at L = 13.6666 and L = 15, and field dependence at L = 14.3333 and L = 15 of the intensity.
DOI: 10.5281/zenodo.7948579
title: Understanding unconventional magnetic order in a candidate axion insulator by resonant elastic x-ray scattering - Data set

description: This data set includes the resonant elastic xray scattering (REXS) data collected at the I16 (Diamond Light Source, United Kingdom) and P09 (DESY, Germany) beamline, along with the magnetization data. I16 Data<br> - Temperature dependence of the L=15 reflection<br> - Temperature dependence of the L=14.333 reflection<br> - 00L dependence (6K - 20K)<br> - Azimuthal dependence of L=15 reflection<br> - Azimuthal dependence of L=13.667 reflection P09 Data<br> - Field dependence of L=15 reflection (pi-pi channel)<br> - Field dependence of L=15 reflection (pi-sigma channel)<br> - Field dependence of L=14.333 reflection (pi-pi channel)<br> - Field dependence of L=14.333 reflection (pi-sigma channel) Magnetization Data<br> - Field Dependence of the Magnetization<br>
DOI: 10.5281/zenodo.7949497
title: Understanding unconventional magnetic order in a candidate axion insulator by resonant elastic x-ray scattering - Data set

description: This data set includes the resonant elastic xray scattering (REXS) data collected at the I16 (Diamond Light Source, United Kingdom) and P09 (DESY, Germany) beamline, along with the magnetization data. I16 Data<br> - Temperature dependence of the L=15 reflection<br> - Temperature dependence of the L=14.333 reflection<br> - 00L dependence (6K - 20K)<br> - Azimuthal dependence of L=15 reflection<br> - Azimuthal dependence of L=13.667 reflection P09 Data<br> - Field dependence of L=15 reflection (pi-pi channel)<br> - Field dependence of L=15 reflection (pi-sigma channel)<br> - Field dependence of L=14.333 reflection (pi-pi channel)<br> - Field dependence of L=14.333 reflection (pi-sigma channel) Magnetization Data<br> - Field Dependence of the Magnetization<br>
DOI: 10.6084/m9.figshare.22945811
title: Busqueda de articulos

description: Diagrama de Flujo - Metodología Prisma<br>
DOI: 10.6084/m9.figshare.22945811.v1
title: Busqueda de articulos

description: Diagrama de Flujo - Metodología Prisma<br>
DOI: 10.6084/m9.figshare.22945862
title: Palabras claves utilizadas para la búsqueda de los artículos

description: Palabras claves utilizadas para la búsqueda de los artículos
DOI: 10.6084/m9.figshare.22945862.v1
title: Palabras claves utilizadas para la búsqueda de los artículos

description: Palabras claves utilizadas para la búsqueda de los artículos
DOI: 10.6084/m9.figshare.22945904
title: ARTICULOS SELECCIONADOS

description: Palabras claves utilizadas para la búsqueda de los artículos
DOI: 10.6084/m9.figshare.22944758
title: Tabla. 1 - Cadena de Busqueda

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944758.v2
title: Tabla. 1 - Cadena de Busqueda

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944758.v1
title: Picture2.png

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22945004
title: Tabla. 2 - Palabras claves utilizadas para la búsqueda de los artículos (Español / Inglés)

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22945004.v2
title: Tabla. 2 - Palabras claves utilizadas para la búsqueda de los artículos (Español / Inglés)

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22945004.v1
title: Picture5

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944764
title: Tabla. 3 - Artículos incluido en el análisis segun sus enfoques - 1

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944764.v2
title: Tabla. 3 - Artículos incluido en el análisis segun sus enfoques - 1

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944764.v1
title: Picture3.png

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944761
title: Tabla. 3 - Artículos incluido en el análisis segun sus enfoques - 2

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944761.v2
title: Tabla. 3 - Artículos incluido en el análisis segun sus enfoques - 2

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.6084/m9.figshare.22944761.v1
title: Picture4.png

description: <strong>Ciberseguridad y su relación con IA: Ventajas y Desventajas</strong>
DOI: 10.34740/kaggle/dsv/5719099
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.22946267.v1
title: A survey the plant association patters in the central drylands of California, USA.

description: A survey of plant-plant association patterns under shrubs and in the open in drylands.
DOI: 10.6084/m9.figshare.22946267
title: A survey the plant association patterns in the central drylands of California, USA

description: A survey of plant-plant association patterns under shrubs and in the open in drylands.
DOI: 10.6084/m9.figshare.22946267.v2
title: A survey the plant association patters in the central drylands of California, USA

description: A survey of plant-plant association patterns under shrubs and in the open in drylands.
DOI: 10.34740/kaggle/dsv/3332343
title: SALARY SHEET.000000
DOI: 10.34740/kaggle/ds/2012805
title: SALARY SHEET.000000
DOI: 10.5281/zenodo.7949375
title: FunMap feature data file used for model training

description: The provided file is a TSV (Tab-Separated Values, gzipped) file that serves as input for training a machine learning model. The file structure consists of rows representing gene pairs and columns containing 16 Spearman correlation coefficients and 16 mutual ranks. The Spearman correlation coefficients capture the strength and direction of the relationship between gene pairs. Additionally, the mutual ranks are derived from the correlation coefficients and are utilized in the training process of the model.
DOI: 10.5281/zenodo.7949374
title: FunMap feature data file used for model training

description: The provided file is a TSV (Tab-Separated Values, gzipped) file that serves as input for training a machine learning model. The file structure consists of rows representing gene pairs and columns containing 16 Spearman correlation coefficients and 16 mutual ranks. The Spearman correlation coefficients capture the strength and direction of the relationship between gene pairs. Additionally, the mutual ranks are derived from the correlation coefficients and are utilized in the training process of the model.
DOI: 10.15121/1254447
title: Play Fairway Analysis CA-NV-OR: Geochemistry Data

description: Tabular aqueous geochemistry data files for the Play Fairway Analysis CA-NV-OR area.
DOI: 10.15121/1254448
title: Play Fairway Analysis CA-NV-OR: Geochemistry Data (Play Fairway Area Only)

description: Subset of all Aqueous Geochemistry, selected for UCD PF area only.
DOI: 10.15121/1254449
title: Play Fairway Analysis CA-NV-OR: 2km Grid Based Analysis

description: Combined geochemical and geophysical data, weighted and ranked for geothermal prospect favorability.
DOI: 10.15121/1254450
title: Play Fairway Analysis CA-NV-OR: San Emidio Geophysical Data

description: Various geophysical exploration data for San Emidio KGRA
DOI: 10.15121/1254451
title: Play Fairway Analysis CA-NV-OR: Medicine Lake 2km MT

description: Magnetotelluric (MT) data for Medicine lake with 2km grid.
DOI: 10.15121/1254455
title: Play Fairway Analysis CA-NV-OR: Additional 2km Grid Figures

description: Various data sets displayed on a 2km grid for the Play Fairway Analysis CA-NV-OR area. Grids at 2km, updated from 5km.
DOI: 10.15121/1254456
title: Play Fairway Analysis CA-NV-OR: Figures on 2km Grids

description: Various data sets displayed on a 2km grid for the Play Fairway Analysis CA-NV-OR area.
DOI: 10.5439/1973372
title: mwr3ctip (a1)

description: The microwave radiometer 3-channel (MWR3C) provides time-series measurements of brightness temperatures from three channels centered at 23.834, 30, and 89 GHz. These three channels are sensitive to the presence of liquid water and precipitable water vapor.
DOI: 10.5439/1973906
title: rp (a1)

description: For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw). ARM currently employs two types of stabilized platforms: one electrically controlled for lighter instruments that includes yaw control (dubbed RPY for Roll, Pitch, Yaw) and one hydraulic platform with three independently controlled legs for heavier instruments, like the Marine W-Band ARM Cloud Radar (MWACR), (dubbed RPH for Roll, Pitch, Heave [vertical translational motion]). For a comprehensive report on the purpose, characteristics, and functionality of the RPH hydraulic stabilized platform, see this Report on the Second ARM Mobile Facility (AMF2) Roll, Pitch, and Heave (RPH) Stabilization Platform: Design and Evaluation. For further details of the platform's electronics, configuration, and performance evaluation, see this Report on the Second ARM Mobile Facility (AMF2) Stabilization Platform: Control Strategy and Implementation.
DOI: 10.5439/1973907
title: 1sprptcm (a1)

description: The portable radiation package (PRP) is an instrument suite to collect atmospheric radiation measurements on a moving platform. The instrument suite consists of a precision spectral pyranometer (PSP), precision infrared radiometer (PIR), and continuously rotating shadowband radiometer.
DOI: 10.5439/1973908
title: prptcm (a1)

description: The portable radiation package (PRP) is an instrument suite to collect atmospheric radiation measurements on a moving platform. The instrument suite consists of a precision spectral pyranometer (PSP), precision infrared radiometer (PIR), and continuously rotating shadowband radiometer.
DOI: 10.5439/1973909
title: mwacrshipcor (c0)

description: mwacrshipcor
DOI: 10.5439/1973912
title: mwacrshipcor (c1)

description: mwacrshipcor
DOI: 10.5439/1973913
title: mfraaf (a0)

description: The multifilter radiometer (MFR) is simply the head from a multifilter rotating shadowband radiometer (MFRSR) mounted on a tower pointing at the surface. Like the MFRSR, it has six narrowband channels (415, 500, 615, 673, 870, and 940 nm) and one broadband channel. Pointing the head at the surface provides spectral measurements of reflected irradiance. Measurements are taken every 20 seconds, with no averaging performed.
DOI: 10.5439/1973914
title: mfraaf (b1)

description: The multifilter radiometer (MFR) is simply the head from a multifilter rotating shadowband radiometer (MFRSR) mounted on a tower pointing at the surface. Like the MFRSR, it has six narrowband channels (415, 500, 615, 673, 870, and 940 nm) and one broadband channel. Pointing the head at the surface provides spectral measurements of reflected irradiance. Measurements are taken every 20 seconds, with no averaging performed.
DOI: 10.15473/1974057
title: CalWave - Open Water Demonstration - Field Testing Content Models (10/21 - 7/22)

description: Data for the CalWave - Open Water Demonstration, a submerged pressure differential Wave Energy Converter (WEC) Device. Device is moored to the seabed, and the motion of the waves causes the sea level to rise and fall above the device, inducing a pressure differential in the device. The alternating pressure pumps fluid through a system to generate electricity, which is transmitted to shore via bidirectional cables. Documentation and data here includes: Open Water Demonstration, including field testing content models for nearly 10 months of continuous ocean operation, from October 2021 through July 2022.
DOI: 10.15473/1974068
title: TEAMER RFTS: xWave Real Time IMU Optimization for Advanced Controls

description: CalWave / EGI's (Evergreen Innovation) TEAMER (Testing and Expertise for Marine Energy) award: data and post access report for the xWave's Real Time IMU (inertial measurement unit) Optimization for Advanced Controls.
DOI: 10.6084/m9.figshare.22630813
title: Bosch&Ives_EcoEnt2023_DistanceMatrix.csv

description: Distance matrix used in lmm arma model
DOI: 10.6084/m9.figshare.22630813.v1
title: Bosch&Ives_EcoEnt2023_DistanceMatrix.csv

description: Distance matrix used in lmm arma model
DOI: 10.5281/zenodo.7948951
title: Cycles-L WE-38 watershed simulations from 2000 to 2015

description: This dataset contains the daily output of the Cycles-L Version 1.0.0 model simulations for the WE-38 watershed from 2000 to 2015. The Cycles-L WE-38 model physical domain consists of 114 segments representing the stream network (average 98-m long) and 883 triangular grids (average 0.83 ha). The rotations and associated field operations described in Hirt et al. (2020) were projected on the Cycles-L WE-38 model domain. Model grids were assigned to one of six land uses: deciduous forest, a corn (2 years)-soybean-corn-hay (4 years) rotation, a corn (4 years)-hay (4 years) rotation, a soybean-corn rotation, a hay rotation, and a corn-soybean-corn-soybean-oat hay-hay (3 years) rotation. The soil texture, organic matter, and bulk density (by layer) were extracted from the SSURGO database projected to the model domain. The meteorological forcing (precipitation, air temperature, humidity, wind speed, downward solar radiation, downward longwave radiation, and air pressure) were obtained from the North American Land Data Assimilation System Phase 2 forcing data. Model input for the WE-38 watershed is managed at https://github.com/PSUmodeling/Cycles-L-WE38-simulations. The simulation period was 16 years from 0000 UTC 1 January 2000 to 0000 UTC 1 January 2016. The model was spun-up to reach steady states for soil organic carbon and groundwater storage. The model was manually calibrated using observed outlet discharge and the USDA-NASS survey corn yield. Seven scenarios were simulated, as described in the following table: Scenarios Fertilization multiplier Manure fertilizer Synthetic fertilizer Switchgrass WE38 1.0 X X WE38_1dot25xN 1.25 X X WE38_1dot5xN 1.5 X X WE38_lowland 1.25 X X H WE38_lowland_manure 1.25 X H WE38_upland 1.25 X X L WE38_upland_manure 1.25 X L L and H represent low denitrification and high denitrification, respectively, which are defined as the grids that have low and high denitrification rates within the corn (2 years)-soybean-corn-hay (4 years) rotation or the corn (4 years)-hay (4 years) rotation locations.
DOI: 10.5281/zenodo.7948950
title: Cycles-L WE-38 watershed simulations from 2000 to 2015

description: This dataset contains the daily output of the Cycles-L Version 1.0.0 model simulations for the WE-38 watershed from 2000 to 2015. The Cycles-L WE-38 model physical domain consists of 114 segments representing the stream network (average 98-m long) and 883 triangular grids (average 0.83 ha). The rotations and associated field operations described in Hirt et al. (2020) were projected on the Cycles-L WE-38 model domain. Model grids were assigned to one of six land uses: deciduous forest, a corn (2 years)-soybean-corn-hay (4 years) rotation, a corn (4 years)-hay (4 years) rotation, a soybean-corn rotation, a hay rotation, and a corn-soybean-corn-soybean-oat hay-hay (3 years) rotation. The soil texture, organic matter, and bulk density (by layer) were extracted from the SSURGO database projected to the model domain. The meteorological forcing (precipitation, air temperature, humidity, wind speed, downward solar radiation, downward longwave radiation, and air pressure) were obtained from the North American Land Data Assimilation System Phase 2 forcing data. Model input for the WE-38 watershed is managed at https://github.com/PSUmodeling/Cycles-L-WE38-simulations. The simulation period was 16 years from 0000 UTC 1 January 2000 to 0000 UTC 1 January 2016. The model was spun-up to reach steady states for soil organic carbon and groundwater storage. The model was manually calibrated using observed outlet discharge and the USDA-NASS survey corn yield. Seven scenarios were simulated, as described in the following table: Scenarios Fertilization multiplier Manure fertilizer Synthetic fertilizer Switchgrass WE38 1.0 X X WE38_1dot25xN 1.25 X X WE38_1dot5xN 1.5 X X WE38_lowland 1.25 X X H WE38_lowland_manure 1.25 X H WE38_upland 1.25 X X L WE38_upland_manure 1.25 X L L and H represent low denitrification and high denitrification, respectively, which are defined as the grids that have low and high denitrification rates within the corn (2 years)-soybean-corn-hay (4 years) rotation or the corn (4 years)-hay (4 years) rotation locations.
DOI: 10.6084/m9.figshare.22630816
title: Bosch&Ives_EcoEnt2023_CompiledSurveyData.csv

description: Survey data used in lmm arma models
DOI: 10.6084/m9.figshare.22630816.v1
title: Bosch&Ives_EcoEnt2023_CompiledSurveyData.csv

description: Survey data used in lmm arma models
DOI: 10.6084/m9.figshare.22630819
title: Bosch&Ives_EcoEnt2023_Figures2b4bS1b.csv

description: Data used to generate figures 2b, 4b, and S1b
DOI: 10.6084/m9.figshare.22630819.v1
title: Bosch&Ives_EcoEnt2023_Figures2b4bS1b.csv

description: Data used to generate figures 2b, 4b, and S1b
DOI: 10.6084/m9.figshare.22630822
title: Bosch&Ives_EcoEnt2023_FigureS2.csv

description: Data used to generate figure S2
DOI: 10.6084/m9.figshare.22630822.v1
title: Bosch&Ives_EcoEnt2023_FigureS2.csv

description: Data used to generate figure S2
DOI: 10.6084/m9.figshare.22630825
title: Bosch&Ives_EcoEnt2023_Figures2a4aS1a.csv

description: Data for generating figures 2a, 4a, and S1a.
DOI: 10.6084/m9.figshare.22630825.v1
title: Bosch&Ives_EcoEnt2023_Figures2a4aS1a.csv

description: Data for generating figures 2a, 4a, and S1a.
DOI: 10.6084/m9.figshare.22630828
title: Bosch&Ives_EcoEnt2023_Figure1.csv

description: Data for generating figure 1.
DOI: 10.6084/m9.figshare.22630828.v1
title: Bosch&Ives_EcoEnt2023_Figure1.csv

description: Data for generating figure 1.
DOI: 10.5281/zenodo.7948591
title: Compressed Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"

description: Compressed version of RHEED image datasets and Gaussia fitting parameter datasets for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."
DOI: 10.5281/zenodo.7948590
title: Compressed Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"

description: Compressed version of RHEED image datasets and Gaussia fitting parameter datasets for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."
DOI: 10.6084/m9.figshare.22630834
title: Bosch&Ives_EcoEnt2023_Figure3.csv

description: Code for generating figure 3.
DOI: 10.6084/m9.figshare.22630834.v1
title: Bosch&Ives_EcoEnt2023_Figure3.csv

description: Code for generating figure 3.
DOI: 10.5281/zenodo.6386231
title: Supporting Material for "Automatic Mapping of Small Lunar Impact Craters Using LROC NAC Images"

description: The supporting material for <em>'Automatic Mapping of Small Lunar Impact Craters Using LROC NAC'.</em> This File contains: Supporting Material (.pdf); List of True Positive detections (.csv); List of all ground truth and CDA detections (.csv); Folder (.zip) with images of the evaluation sites (.pdf); and Folder (.zip) with training image tiles (.png and .txt). Refer to Supporting Material (.pdf) for file name and header information.
description: For any questions please contact the primary author (J.H.F).
DOI: 10.5281/zenodo.6051964
title: Supporting Material for "Automatic Mapping of Small Lunar Impact Craters Using LROC NAC Images"

description: The supporting material for <em>'Automatic Mapping of Small Lunar Impact Craters Using LROC NAC'.</em> This File contains: Supporting Material (.pdf); List of True Positive detections (.csv); List of all ground truth and CDA detections (.csv); Folder (.zip) with images of the evaluation sites (.pdf); and Folder (.zip) with training image tiles (.png and .txt). Refer to Supporting Material (.pdf) for file name and header information.
description: For any questions please contact the primary author (J.H.F).
DOI: 10.6073/pasta/832c87d2d00a0a044d2f6ce6565137d8
title: Vegetation profile and canopy height of Tabonuco, Colorado and Cloud Forests

description: The overall height and the presence of vegetation in different height intervals above ground is recorded above points on a 5 x 5 m grid in three hectare-sized plots in the Luquillo Experimental Forest, Puerto Rico. One plots each is in tabonuco forest (350 m elevation), colorado forest (650 m) and cloud forest (1000 m). The first records were made shortly before Hurricane Hugo, in 1989. Post hurricane measurements have been made five time to six time in each plot, the most recent been in 1998 for all plots. The results show the damage to forest structure wreaked by Hurricane Hugo, steady recovery of forest structure after Hugo, minor damage by Hurricane Hortense in 1996, and resumption of recovery after Hortense. Maximum canopy height and the vertical distribution of vegetation in the forests are returning to pre-hurricane Hugo values. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.25946/21067726
title: Biochar Production Process Optimisation and Product Characterisation Dataset

description: In the proposed research, eucalyptus, macadamia and municipal green waste will be utilized to produce biochar for animal feed additives and compost/soil application. During the manufacturing process, biochar will be produced through variation in temperature, duration of pyrolysis, feedstocks and different options for fluid bed materials and the process is optimised for the production of biochar for its intended use. After the optimization of production process, there will be mass production in biochar in the fluid bed continuous fed pyrolysis reactor located at Mara Seeds, New South Wales. The biochar analysis and characterization of the products will be performed in the Mara Seeds Lab in Mallanganee, CQU laboratory in Rockhampton and UNSW Material chemistry laboratory in Sydney.