cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/155066
title: Radiometer data collected during research cruise NBP2101 using a Biospherical GUV-2511 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155074
title: Singlebeam Echosounder data collected during research cruise NBP2101 using a Knudsen 3260 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155067
title: Water Temperature data collected during research cruise NBP2101 using a SeaBird SBE-38 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155068
title: TSG (Thermosalinograph) data collected during research cruise NBP2101 using a SeaBird SBE-45 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155076
title: TSG (Thermosalinograph) data collected during research cruise NBP2101 using a SeaBird SBE-45 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155070
title: Winch data collected during research cruise NBP2101 using a Markey DUSH-5 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.24599757
title: 20231122_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24599757.v1
title: 20231122_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24599724
title: ArabicTranscripts.docx

description: Arabic transcripts of press conferences
DOI: 10.6084/m9.figshare.24599724.v1
title: ArabicTranscripts.docx

description: Arabic transcripts of press conferences
DOI: 10.6084/m9.figshare.20186429
title: Meta-analysis dataset

description: Data derived from previously published studies and used in a meta-analysis as desribed in "Prey responses to direct and indirect predation risk cues reveal the importance of multiple information sources."
DOI: 10.6084/m9.figshare.20186429.v2
title: Meta-analysis dataset

description: Data derived from previously published studies and used in a meta-analysis as desribed in "Prey responses to direct and indirect predation risk cues reveal the importance of multiple information sources."
DOI: 10.5066/p98l86i3
title: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Composite Model Layers

description: This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Green Bay Restoration Assessment (GBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree flowlines, culverts, study area and DEM datasets are supplemental layers that provide additional information around the priority rank values. All layers were produced in collaboration with the USGS Upper Midwest Water Science Center, USGS Great Lakes Science Center, and by the New College of Florida. For more information on the methodology used to create these parameters, view the metadata from GLCWRA: Green Bay Restoration Assessment (GBRA) and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
DOI: 10.6084/m9.figshare.24599691
title: Results of the Web of Science search.

description: Tropical regions contain ecologically and socio-economically important habitats, and are home to about 3.8 billion people, many of which directly depend on tropical coastal waters for their well-being. At the basis of these ecosystems are biogeochemical processes. Climate change is expected to have a greater impact in the tropics compared to temperate regions because of the relatively stable environmental conditions found there. However, it was surprising to find only 660 research articles published focusing on the impact of climate change on the biogeochemistry of coastal tropical waters compared to 4823 for temperate waters. In this perspective, we highlight important topics in need of further research. Specifically, we suggest that in tropical regions compared to temperate counterparts climate change stressors will be experienced differently, that organisms have a lower acclimation capacity, and that long-term baseline biogeochemical datasets useful for quantifying future changes are lacking. The low number of research papers on the impacts of climate change in coastal tropical regions is likely due to a mix of reasons including limited resources for research and limited number of long time series in many developing tropical countries. Finally, we propose some action points that we hope will stimulate more studies in tropical coastal waters.
DOI: 10.25405/data.ncl.24449584
title: IV sweeps raw data for POM film humidity and CO2 testing

description: IV measurements were performed between -2 V and 2 V with a step size of 0.1 V. Measurements were taken in the forward and reverse direction. The resistance of the device was calculated through the inverse slope of the resultant linear line from which the conductivity was calculated using equation 4.1. The length and width of the channel were measured with an optical microscope.R=V/I=ρ(L/A) σ=1/ρWhere σ: conductivity, ρ: resistivity, R: resistance in ohms, L: length in metres, A: the area in m<sup>2</sup>, V: voltage, and I: current.Samples were measured in a humidity-controlled environment with a purpose-built holder and printed circuit board (PCB), and a water bubbler to control humidity coupled with a QTenki humidity sensor and temperature probe (Dracal Technologies). Four repeat measurements were taken for each POM electrode.
DOI: 10.25405/data.ncl.24449584.v1
title: IV sweeps raw data for POM film humidity and CO2 testing

description: IV measurements were performed between -2 V and 2 V with a step size of 0.1 V. Measurements were taken in the forward and reverse direction. The resistance of the device was calculated through the inverse slope of the resultant linear line from which the conductivity was calculated using equation 4.1. The length and width of the channel were measured with an optical microscope.R=V/I=ρ(L/A) σ=1/ρWhere σ: conductivity, ρ: resistivity, R: resistance in ohms, L: length in metres, A: the area in m<sup>2</sup>, V: voltage, and I: current.Samples were measured in a humidity-controlled environment with a purpose-built holder and printed circuit board (PCB), and a water bubbler to control humidity coupled with a QTenki humidity sensor and temperature probe (Dracal Technologies). Four repeat measurements were taken for each POM electrode.
DOI: 10.5066/p9qajrbw
title: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines

description: This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification to restore the area. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree flowlines, study area, and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.
DOI: 10.25405/data.ncl.24449608
title: AFM images of interdigitated ITO electrodes with thin film of POM deposited

description: A Digital Instruments Multimode-8 with a NanoScope V controller and E scanners (Bruker) was used for acquiring AFM images. The AFM data were analysed with NanoScope Analysis 1.50 software (Bruker). The AFM was operated in tapping mode. An isolation table (Veeco Inc., Metrology Group) was used to minimise vibrational noise. Aluminium-coated silicon tips on silicon cantilevers (Tap300Al-G, BudgetSensors) were used for imaging. The nominal tip curvature radius was approximately &lt;10 nm, resonant frequency ~300 kHz and spring constant k ~ 40 Nm-1. The film thickness was measured by using the AFM tip at a strong force in contact mode to scratch away a 1 µm2 area of the of the film (aspect ratio 20:1), exposing the glass underneath. A new tip was then used to image the area in tapping mode over the scratch to measure the height in the z-direction of the film.
DOI: 10.25405/data.ncl.24449608.v1
title: AFM images of interdigitated ITO electrodes with thin film of POM deposited

description: A Digital Instruments Multimode-8 with a NanoScope V controller and E scanners (Bruker) was used for acquiring AFM images. The AFM data were analysed with NanoScope Analysis 1.50 software (Bruker). The AFM was operated in tapping mode. An isolation table (Veeco Inc., Metrology Group) was used to minimise vibrational noise. Aluminium-coated silicon tips on silicon cantilevers (Tap300Al-G, BudgetSensors) were used for imaging. The nominal tip curvature radius was approximately &lt;10 nm, resonant frequency ~300 kHz and spring constant k ~ 40 Nm-1. The film thickness was measured by using the AFM tip at a strong force in contact mode to scratch away a 1 µm2 area of the of the film (aspect ratio 20:1), exposing the glass underneath. A new tip was then used to image the area in tapping mode over the scratch to measure the height in the z-direction of the film.
DOI: 10.6084/m9.figshare.24552790
title: Ancient mitogenomes from Pre-Pottery Neolithic Central Anatolia and the effects of a Late Neolithic bottleneck in sheep (<i>Ovis aries</i>)

description: FASTA files containing 629 mitochondrial genomes of:604domestic sheep (<i>Ovis aries</i>)24 Asiatic mouflons (<i>Ovis gmelini</i>)1 Urial (<i>Ovis vignei</i>)The "...not-aligned_GA" file contains the original sequences, while the "_aligned_GA" contains the final alignment. The samples labels are a composite of population label followed by the sample's age and the sample code. They can be matched to Supplementary Table S5 of the associated paper (in the title).Sandoval-Castellanos E, et al. Science Advances (hopefully).<br>
DOI: 10.5066/p9rrv9aj
title: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Dikes

description: This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Green Bay Restoration Assessment (GBRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas continuous with each other were considered part of the same dike. Data underwent quality control (QC) procedures by having Subject Matter Experts and those familiar with the area examine the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the Digital Elevation Model (DEM). Dikes that appeared to be false positives were deleted from the dataset. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.
DOI: 10.25405/data.ncl.24449680
title: AFM images for POM interdigitated electrodes

description: A Digital Instruments Multimode-8 with a NanoScope V controller and E scanners (Bruker) was used for acquiring AFM images. The AFM data were analysed with NanoScope Analysis 1.50 software (Bruker). The AFM was operated in tapping mode. An isolation table (Veeco Inc., Metrology Group) was used to minimise vibrational noise. Aluminium-coated silicon tips on silicon cantilevers (Tap300Al-G, BudgetSensors) were used for imaging. The nominal tip curvature radius was approximately &lt;10 nm, resonant frequency ~300 kHz and spring constant k ~ 40 Nm-1. The film thickness was measured by using the AFM tip at a strong force in contact mode to scratch away a 1 µm2 area of the of the film (aspect ratio 20:1), exposing the glass underneath. A new tip was then used to image the area in tapping mode over the scratch to measure the height in the z-direction of the film.
DOI: 10.25405/data.ncl.24449680.v1
title: AFM images for POM interdigitated electrodes

description: A Digital Instruments Multimode-8 with a NanoScope V controller and E scanners (Bruker) was used for acquiring AFM images. The AFM data were analysed with NanoScope Analysis 1.50 software (Bruker). The AFM was operated in tapping mode. An isolation table (Veeco Inc., Metrology Group) was used to minimise vibrational noise. Aluminium-coated silicon tips on silicon cantilevers (Tap300Al-G, BudgetSensors) were used for imaging. The nominal tip curvature radius was approximately &lt;10 nm, resonant frequency ~300 kHz and spring constant k ~ 40 Nm-1. The film thickness was measured by using the AFM tip at a strong force in contact mode to scratch away a 1 µm2 area of the of the film (aspect ratio 20:1), exposing the glass underneath. A new tip was then used to image the area in tapping mode over the scratch to measure the height in the z-direction of the film.
DOI: 10.5281/zenodo.10175052
title: FEM data sets for heat generation due to plastic deformation and the and associated contact temperature during a normal impact between an elastic-perfectly-plastic particle and a rigid surface.

description: This dataset contains essential data from the Finite Element Method (FEM) model predicting heat generation due to plastic deformation during the normal impact of a deformable spherical particle and a rigid flat substrate. Part of this data was processed and featured in a publication of a journal article (https://doi.org/10.1016/j.ijimpeng.2023.104831). The following is the description of the data files and the associated figures in the original paper. 
'Energy_Vy200_1200 .xlsx' and 'Temp_Vy200_1200 .xlsx' -  data for the evolution of heat and nodal temperature, respectively for varying impact velocities. Data was used for Figs.5 -7 in the published paper.
'Energy_YM_5_1000.xlsx' and 'Temp_YM_5_1000.xlsx' - data for the evolution of heat and nodal temperature, respectively for varying Young moduli. Data was used for Figs. 8 and 9 in the published paper.
'Energy_YS_50_800.xlsx' , 'Temp_YS_50_800.xlsx' - data for the evolution of heat and nodal temperature, respectively for varying yield strengths. Data was used for Figs. 10 and 11 in the published paper.
'Energy_Den_500_8000.xlsx' , 'TempC_Den_500_8000.xlsx'- data for the evolution of heat and nodal temperature, respectively for varying densities. Data was used for Figs. 12 and 13 in the published paper.
'Temp_TC.xlsx' , 'Temp_HC.xlsx' - data for the evolution of nodal temperatures for varying thermal conductivity and specific heat capacities, respectively. Data was used for Figs.  14 -17 in the published paper.
DOI: 10.5281/zenodo.10175053
title: FEM data sets for heat generation due to plastic deformation and the and associated contact temperature during a normal impact between an elastic-perfectly-plastic particle and a rigid surface.

description: This dataset contains essential data from the Finite Element Method (FEM) model predicting heat generation due to plastic deformation during the normal impact of a deformable spherical particle and a rigid flat substrate. Part of this data was processed and featured in a publication of a journal article (https://doi.org/10.1016/j.ijimpeng.2023.104831). The following is the description of the data files and the associated figures in the original paper. 
'Energy_Vy200_1200 .xlsx' and 'Temp_Vy200_1200 .xlsx' -  data for the evolution of heat and nodal temperature, respectively for varying impact velocities. Data was used for Figs.5 -7 in the published paper.
'Energy_YM_5_1000.xlsx' and 'Temp_YM_5_1000.xlsx' - data for the evolution of heat and nodal temperature, respectively for varying Young moduli. Data was used for Figs. 8 and 9 in the published paper.
'Energy_YS_50_800.xlsx' , 'Temp_YS_50_800.xlsx' - data for the evolution of heat and nodal temperature, respectively for varying yield strengths. Data was used for Figs. 10 and 11 in the published paper.
'Energy_Den_500_8000.xlsx' , 'TempC_Den_500_8000.xlsx'- data for the evolution of heat and nodal temperature, respectively for varying densities. Data was used for Figs. 12 and 13 in the published paper.
'Temp_TC.xlsx' , 'Temp_HC.xlsx' - data for the evolution of nodal temperatures for varying thermal conductivity and specific heat capacities, respectively. Data was used for Figs.  14 -17 in the published paper.
DOI: 10.25405/data.ncl.24449716
title: Four point probe raw data for carbon-POM hybrid electrodes

description: Four point probe (Ossila) measurements undertaken on fabricated carbon-POM electrodes
DOI: 10.25405/data.ncl.24449716.v1
title: Four point probe raw data for carbon-POM hybrid electrodes

description: Four point probe (Ossila) measurements undertaken on fabricated carbon-POM electrodes
DOI: 10.5066/p97b8ti7
title: Post-fire species point intercept data from four megafires in the Great Basin

description: Data set is a combined collection of post-fire species point intercept cover monitoring data across the Murphy 2007 fire, Rush 2012 fire, Holloway 2012 fire, and Soda 2015 fire. Data was collected between 2008 and 2022 by the Bureau of Land Management, US Geological Survey, and Idaho Fish and Wildfire for various purposes. The species data was leveraged to assess post-fire community structure and trajectories.
DOI: 10.25405/data.ncl.24449749
title: FTIR of carbon-POM hybrid electrodes

description: FTIR data for carbon POM hybrid electrodes
DOI: 10.25405/data.ncl.24449824
title: SEM-EDS Data for Carbon-POM hybrid electrodes

description: EDS analysis obtained for Carbon-POM hybrid electrodes. Scanning electron microscopy energy-dispersive X-ray spectroscopy (SEM–EDS) analysis was carried out by Cathal Burns (Northumbria University) using a Teacan Mira3 SEM instrument equipped with an Oxford instruments energy-dispersive X-ray analyser. The working distance, accelerating voltage, and beam current were 8.5 mm, 10.0 kV, and 50.0 pA, respectively.
DOI: 10.25405/data.ncl.24449824.v1
title: SEM-EDS Data for Carbon-POM hybrid electrodes

description: EDS analysis obtained for Carbon-POM hybrid electrodes. Scanning electron microscopy energy-dispersive X-ray spectroscopy (SEM–EDS) analysis was carried out by Cathal Burns (Northumbria University) using a Teacan Mira3 SEM instrument equipped with an Oxford instruments energy-dispersive X-ray analyser. The working distance, accelerating voltage, and beam current were 8.5 mm, 10.0 kV, and 50.0 pA, respectively.
DOI: 10.25405/data.ncl.24449842
title: SEM Images for carbon-POM electrodes

description: Scanning electron microscopy energy-dispersive X-ray spectroscopy (SEM–EDS) analysis was carried out by Cathal Burns (Northumbria University) using a Teacan Mira3 SEM instrument equipped with an Oxford instruments energy-dispersive X-ray analyser. The working distance, accelerating voltage, and beam current were 8.5 mm, 10.0 kV, and 50.0 pA, respectively.
DOI: 10.25405/data.ncl.24449842.v1
title: SEM Images for carbon-POM electrodes

description: Scanning electron microscopy energy-dispersive X-ray spectroscopy (SEM–EDS) analysis was carried out by Cathal Burns (Northumbria University) using a Teacan Mira3 SEM instrument equipped with an Oxford instruments energy-dispersive X-ray analyser. The working distance, accelerating voltage, and beam current were 8.5 mm, 10.0 kV, and 50.0 pA, respectively.
DOI: 10.25405/data.ncl.24450040
title: Conductivity testing with varied RH% of POM films

description: Raw data for the paper submitted 'Post transition metal substituted Keggin POMs as thin film chemiresistive sensors for H<sub>2</sub>O and CO<sub>2</sub> detection' Current-voltage (IV) measurements were performed between -2 V and 2 V with a step size of 0.1 V and scan rate of 1 Vs<sup>-1</sup>. Measurements were taken in the forward and reverse direction. The resistance of the device was calculated through the inverse slope of the resultant linear plot, from which the conductivity was calculated using equation 1.<sup>1</sup> The length and width of the channel were measured with an optical microscope. Where σ: conductivity, ρ: resistivity, R: resistance in ohms, L: length in metres, A: the area in m<sup>2</sup>, V: voltage, and I: current. Samples were measured in a humidity-controlled environment with a purpose-built holder and printed circuit board (PCB), coupled with a QTenki humidity sensor and temperature probe (Dracal Technologies). The appropriate gas (either air, N<sub>2</sub>, or CO<sub>2 </sub>only) was passed through the water bubbler before passing through the sample container. The container was purged for 15 minutes with the respective gas prior to each measurement. The flow rate was adjusted to control the humidity. Four repeat measurements were taken for each POM electrode.
DOI: 10.5066/p96qmw8w
title: Development, testing and use of four species-specific qPCR assays for freshwater mussel eDNA detection in the Niobrara River

description: This data consists of information on the specificity and sensitivity of 4 species specific qPCR assays for the detection of eDNA from 4 species of freshwater mussels, specifically Lampsilis cardium, Lampsilis siliquoidea, Pyganodon grandis, and Anodontoides ferussacianus. The data also contain the results of eDNA sampling in Niobrara River at Niobrara National Scenic River and Agate Fossil Beds National Monument for detection of these 4 species.