cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8271248
title: Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models

description: This repository provides compressed folders containing the velocity profiles recorded during our oil-filled crack propagation experiments and the code used to simulate those experiments. In particular, the files in compressed folders <strong>10ml</strong>, <strong>30ml</strong>, <strong>50ml</strong> and <strong>others_ml</strong> contain two columns corresponding to the tracked cracks' depth [m] and velocity [m/s]. The two folders <strong>DYKE-CODE_constant-Ef</strong> and <strong>DYKE-CODE_variable-Ef</strong> contain the Fortran90 code, the input and output files, and all the scripts needed to reproduce the simulations and the plots displayed in Figure 3 and Figure 4 of the article <em>"</em>Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models<em>"</em><strong><em> </em></strong> by A. Gaete, F. Maccaferri, S. Furst, and V. Pinel.
DOI: 10.5281/zenodo.8271247
title: Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models

description: This repository provides compressed folders containing the velocity profiles recorded during our oil-filled crack propagation experiments and the code used to simulate those experiments. In particular, the files in compressed folders <strong>10ml</strong>, <strong>30ml</strong>, <strong>50ml</strong> and <strong>others_ml</strong> contain two columns corresponding to the tracked cracks' depth [m] and velocity [m/s]. The two folders <strong>DYKE-CODE_constant-Ef</strong> and <strong>DYKE-CODE_variable-Ef</strong> contain the Fortran90 code, the input and output files, and all the scripts needed to reproduce the simulations and the plots displayed in Figure 3 and Figure 4 of the article <em>"</em>Investigating the velocity of magmatic intrusions and its relation with rock fracture toughness: insights from laboratory experiments and numerical models<em>"</em><strong><em> </em></strong> by A. Gaete, F. Maccaferri, S. Furst, and V. Pinel.
DOI: 10.5281/zenodo.6403283
title: Industry 5.0 Data Model

description: Industry 5.0 Data Model
DOI: 10.5281/zenodo.6403284
title: Industry 5.0 Data Model

description: Industry 5.0 Data Model
DOI: 10.18739/a2930nw7w
title: Geospatial Data Documenting the Expansion and Drainage of Schaeffer Lake, Northwestern Arctic Alaska, 1951-2022

description: On 29 June 2022, local observers reported the drainage of a 0.5 ha lake near Qikiqtaġruk (Kotzebue), Alaska that prompted this collaborative study on the life cycle of a thermokarst lake in the Arctic (Jones et al., In Review). This dataset includes the geospatial files created for the study that documents the expansion and drainage of a small lake on the Schaeffer's Native allotment near Qikiqtaġruk (Kotzebue), Alaska. We have digitized the perimeter of the lake in historical aerial imagery and contemporary satellite imagery from 1951, 1974, 1993, 2007, and 2021. This data has been uploaded in geojson formats. We also created digital terrain models based on processing aerial images acquired in 2016 via fixed wing (Fairbanks Fodar, 2019) and in 2022 with a survey-grade quadcopter drone system. This data is provided in geotiff format. We also simulated a pre-lake disturbance terrain model to estimate permafrost thaw subsidence associated with the formation and drainage of the lake. This data has been uploaded in geotiff format. Citations: Jones, B.M., Tessier, S.S., Tessier, T., Brubaker, M., Brook, M., Schaeffer, J., Ward Jones, M.K., Grosse, G., Nitze, I., Rettelbach, T., Savoico, S., Clark, J.A., and Tape, K.D. In Revision. Integrating local environmental observations and remote sensing to better understand the life cycle of a thermokarst lake in Arctic Alaska. Arctic, Antarctic, and Alpine Research. Fairbanks Fodar, 2019. Digital Mapping of Coast between Cape Thompson and Cape Prince of Wales [online]. Available from: https://elevation.alaska.gov/ [Accessed 21 Aug 2022].
DOI: 10.18739/a2pk0732f
title: Swan Lake Creek Study Reach Datasets - beaver dams, flowlines, and UAS imagery; Seward Peninsula, Alaska; 2006-2021

description: Beavers have established themselves as a key component of low arctic ecosystems over the past several decades. The data presented here document the occurrence, reconstruct the timing, and highlight the effects of beaver activity on a small creek valley confined by ice-rich permafrost on the Seward Peninsula, Alaska. We analyzed very high resolution satellite imagery to digitize beaver dams and stream channels from the years 2006, 2011, 2014, 2015, 2017, 2019, 2020, and 2021. We also acquired Uncrewed Aircract System (UAS) imagery on 06 August 2021 and created a 5 centimeter (cm) resolution orthophoto mosaic and a 15 cm resolution digital surface model. Our data show that beaver engineering between 2006 and 2021 caused a systems-level response to a small tundra stream that promoted lateral expansion of the creek valley into an ice-rich permafrost hillslope and development of a diffuse network of stream channels expanding the area of potential beaver engineering in the future. The datasets support the findings presented in this accepted paper - Jones, B.M., K.D. Tape, J.A. Clark, A.C. Bondurant, M.K. Ward Jones, B.V. Gaglioti, C.D. Elder, C. Witharana, and C.E. Miller. Accepted. Multi-dimensional remote sensing analysis documents beaver-induced permafrost degradation, Seward Peninsula, Alaska. Remote Sensing.
DOI: 10.18739/a26t0gx5m
title: Beaver Pond Locations in Arctic Alaska, 1949 to 2020.

description: Beavers were not previously recognized as an Arctic species, and their engineering in the tundra is considered negligible. Recent findings suggest that beavers have moved into arctic tundra regions and are controlling surface water dynamics, which strongly influence permafrost and landscape stability. These data show beaver pond locations in the Alaska Arctic identified in aerial photography and satellite imagery. Black and white aerial photography is from 1949-55, color infrared aerial photography (AHAP) is from 1976-84, and high-resolution satellite imagery is from 2000-2020. The number of beaver ponds doubled in most areas of ~2003 and ~2017 images. Earlier stages of beaver engineering are evident in ~1980 imagery, and there is no evidence of beaver engineering in ~1952 imagery, consistent with observations from Indigenous communities describing the influx of beavers over the period.
DOI: 10.18739/a2cz3253w
title: Northwestern Arctic Alaska beaver dam locations, northern Baldwin Peninsula region, 2010-2019

description: Arctic landscapes are in a state of transition due to changes in climate occurring during both the summer and winter seasons. Scattered observations indicate that beavers (Castor canadensis) have moved from the forest into tundra areas during the last 20 years, likely in response to broader physical and ecosystem changes occurring in Arctic and Boreal regions. The implications of beaver inhabitation in the Arctic and Boreal are unique relative to other ecosystems due to the presence of permafrost and its vulnerability associated with beaver dams and inundation. Our study specifically examines the role of beavers in controlling surface water dynamics and related thermokarst development in low Arctic tundra regions. We mapped the number of beaver dams visible in sub-meter resolution satellite images acquired between 2002 and 2019 for a 100 square kilometer study area (12 years of imagery) near Kotzebue, Alaska and a 430 square kilometer study area (3 years of imagery) encompassing the entire northern Baldwin Peninsula, Alaska. We show that during the last two decades beaver-driven ecosystem engineering is responsible for the majority of surface water area changes and inferred thermokarst development in the study area. This has implications for interpreting surface water area changes and thermokarst dynamics in other Arctic and Boreal regions that may also result from beaver dam building activities. This geospatial dataset provides the location of beaver dams in a 430 square kilometer study area encompassing the entire northern Baldwin Peninsula, Alaska. The location of beaver dams were manually digitized using sub-meter resolution satellite imagery mosaics for the years 2010, 2013, and 2019.
DOI: 10.18739/a2tb0xv89
title: Northwestern Arctic Alaska beaver dam locations, Kotzebue, Alaska, 2002-2019

description: Arctic landscapes are in a state of transition due to changes in climate occurring during both the summer and winter seasons. Scattered observations indicate that beavers (Castor canadensis) have moved from the forest into tundra areas during the last 20 years, likely in response to broader physical and ecosystem changes occurring in Arctic and Boreal regions. The implications of beaver inhabitation in the Arctic and Boreal are unique relative to other ecosystems due to the presence of permafrost and its vulnerability associated with beaver dams and inundation. Our study specifically examines the role of beavers in controlling surface water dynamics and related thermokarst development in low Arctic tundra regions. We mapped the number of beaver dams visible in sub-meter resolution satellite images acquired between 2002 and 2019 for a 100 square kilometer study area (12 years of imagery) near Kotzebue, Alaska and a 430 square kilometer study area (3 years of imagery) encompassing the entire northern Baldwin Peninsula, Alaska. We show that during the last two decades beaver-driven ecosystem engineering is responsible for the majority of surface water area changes and inferred thermokarst development in the study area. This has implications for interpreting surface water area changes and thermokarst dynamics in other Arctic and Boreal regions that may also result from beaver dam building activities. This geospatial dataset provides the location of beaver dams in a 100 square kilometers study area located near Kotzebue, Alaska. The location of beaver dams were manually digitized using sub-meter resolution satellite imagery for the years 2002, 2007-2014, and 2017-2019.
DOI: 10.18739/a2k931764
title: Beaver pond bathymetry rasters and point depths around the Seward Peninsula, Alaska 2021-2022

description: The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth.
DOI: 10.18739/a22v2c974
title: Northwestern Arctic Alaska surface water area vector files, Kotzebue study area, 2002-2019

description: Arctic landscapes are in a state of transition due to changes in climate occurring during both the summer and winter seasons. Scattered observations indicate that beavers (Castor canadensis) have moved from the forest into tundra areas during the last 20 years, likely in response to broader physical and ecosystem changes occurring in Arctic and Boreal regions. The implications of beaver inhabitation in the Arctic and Boreal are unique relative to other ecosystems due to the presence of permafrost and its vulnerability associated with beaver dams and inundation. Our study specifically examines the role of beavers in controlling surface water dynamics and related thermokarst development in low Arctic tundra regions. We mapped the number of beaver dams visible in sub-meter resolution satellite images acquired between 2002 and 2019 for a 100 square kilometer study area (12 years of imagery) near Kotzebue, Alaska and a 430 square kilometer study area (3 years of imagery) encompassing the entire northern Baldwin Peninsula, Alaska. We show that during the last two decades beaver-driven ecosystem engineering is responsible for the majority of surface water area changes and inferred thermokarst development in the study area. This has implications for interpreting surface water area changes and thermokarst dynamics in other Arctic and Boreal regions that may also result from beaver dam building activities. This geospatial dataset provides polygon vector files representing surface water area in a 100 square kilometer study area located near Kotzebue, Alaska. Surface water area maps were created using sub-meter resolution satellite imagery for the years 2002, 2007-2014, and 2017-2019. Image selection focused on cloud-free, ice-free, and calm surface water conditions with images being acquired between late-June and mid-August in a given year. All images were resampled to a spatial resolution of 70 centimeter to match the lowest resolution image in the time series prior to analysis. Within year image dates range from 25 June to 22 August with the average date of image acquisition being 17 July (table 1). Object-based image analysis was conducted in eCognition Essentials 1.3.
DOI: 10.18739/a2vt1gr3p
title: Pressure transducer data for beaver ponds and associated streams on the Seward Peninsula, Alaska 2021-2026

description: The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth.
DOI: 10.18739/a20k26c7k
title: Ground Penetrating Radar data surrounding beaver ponds in Alaska tundra, 2021

description: In recent decades, beavers have reportedly extended their range from the boreal forest into the arctic tundra, altering tundra streams and surrounding permafrost at local to regional scales. In lower latitudes, beaver damming can convert streams, backwaters, and lake outlets into connected ponds, which in turn can change the course of channels, temperature of streams, sediment loads, energy exchange, aquatic habitat diversity and nutrient cycling, and riparian vegetation. In the Arctic, effects of beavers may include enhanced thawing of permafrost, increased stream temperatures, and changes in seasonal ice in streams, as well as complex ecosystem responses. This study will 1) document movement of beavers from the forest into tundra regions, 2) understand how stream engineering wrought by beavers will change the arctic tundra landscape and streams, and 3) predict how beavers will expand into tundra regions and alter stream and adjacent ecosystems. Results will be of interest to local communities and resource managers, and the team of investigators will convene a scientist and stakeholder workshop in Fairbanks, Alaska to synthesize observations, compare results from studies in temperate ecosystems, and clarify impacts of beaver expansion unique to the tundra biome. In August 2021 we used a ground penetrating radar (GPR) to image the subsurface surrounding beaver ponds in a tundra region around Nome, Alaska. The general objective was to determine if heat from new beaver ponds are impacting permafrost. We used a Mala GX GPR (Mala Ground Explorer GPR) with a 450mhz antenna and an integrated DGPS (differential global positioning system). GPS (global positioning system) location data is stored in the .cor file.
DOI: 10.13140/rg.2.2.34044.10884
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.
DOI: 10.13140/rg.2.2.12233.72808
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.
DOI: 10.13140/rg.2.2.25655.50080
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.
DOI: 10.18739/a2vx0646d
title: Ground Penetrating Radar data surrounding beaver ponds in Alaska tundra, 2022

description: In recent decades, beavers have reportedly extended their range from the boreal forest into the arctic tundra, altering tundra streams and surrounding permafrost at local to regional scales. In lower latitudes, beaver damming can convert streams, backwaters, and lake outlets into connected ponds, which in turn can change the course of channels, temperature of streams, sediment loads, energy exchange, aquatic habitat diversity and nutrient cycling, and riparian vegetation. In the Arctic, effects of beavers may include enhanced thawing of permafrost, increased stream temperatures, and changes in seasonal ice in streams, as well as complex ecosystem responses. This study will 1) document movement of beavers from the forest into tundra regions, 2) understand how stream engineering wrought by beavers will change the arctic tundra landscape and streams, and 3) predict how beavers will expand into tundra regions and alter stream and adjacent ecosystems. Results will be of interest to local communities and resource managers, and the team of investigators will convene a scientist and stakeholder workshop in Fairbanks, Alaska to synthesize observations, compare results from studies in temperate ecosystems, and clarify impacts of beaver expansion unique to the tundra biome. In March and April 2022 we used a ground penetrating radar (GPR) to image the subsurface surrounding beaver ponds in a tundra region around Nome, Alaska. We used a Mala GX GPR (Mala Ground Explorer GPR) with a 160 megahertz (mhz) antenna and an integrated DGPS (differential global positioning system). GPS (global positioning system) location data is stored in the .cor file.
DOI: 10.5519/qd.m4mk319p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (368018 records)
DOI: 10.13140/rg.2.2.35721.83043
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.
DOI: 10.5519/qd.646gh5ib
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2567 records)
DOI: 10.5519/qd.svsxtwer
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2567 records)
DOI: 10.13140/rg.2.2.21461.19688
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.
DOI: 10.3886/e193365v1
title: ECIN Replication package for "Did Pandemic Unemployment Benefits Increase Unemployment? Evidence from the Early State-Level Expirations"

description: File uploaded
DOI: 10.3886/e193365v2
title: ECIN Replication package for "Did Pandemic Unemployment Benefits Increase Unemployment? Evidence from the Early State-Level Expirations"

description: File uploaded
DOI: 10.3886/e193365v3
title: ECIN Replication package for "Did Pandemic Unemployment Benefits Increase Unemployment? Evidence from the Early State-Level Expirations"

description: File uploaded
DOI: 10.34740/kaggle/dsv/6426748
title: Artificial Intelligence Tools 2023
DOI: 10.34740/kaggle/ds/3707905
title: Artificial Intelligence Tools 2023
DOI: 10.26302/sshade/bandlist_raman_natrite
title: Raman bandlist of Natrite

description: MIR-FIR Raman bandlist of Natrite at 295K
DOI: 10.6084/m9.figshare.24093783
title: Dataset for Bacterial, Fungal, and Nematode Infection Effects on Development of Grapevine Phenolic Compound Levels and Resistance to Subsequent Neofusicoccum parvum Infections

description: Data on lesion lengths of the fungal pathogen Neofusicoccum parvum that developed on grapevines that were previously non-inoculated or infected with Xylella fastidiosa, Neofusicoccum parvum, or Meloidogyne incognita (the root knot nematode). Also available are changes in phenolic compound levels in stems, measured by liquid chromatography, taken the same time as the measured Neofusicoccum parvum lesion lengths, in mg/g fresh weights (and including summed total amounts of different phenolic compound subclasses).
DOI: 10.34740/kaggle/dsv/6426870
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.8302266
title: Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane

description: Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane. Figure 6: Astrometric trends<br> trend.dat Figure 7: Deformation residuals<br> gfa-south-west.dat Figure 10: Turbulence<br> e2c.dat<br> b2c.dat Figure 11: Turbulence Corrected<br> turbcorr.dat Figure 13: Quiver residuals<br> quiver-R.dat Figure 14: Dither offsets<br> dither20220518-R.dat Figure 15: Chromatic residuals<br> chromatic.dat Figure 16: Temperature dependence<br> tempscale.dat<br>
DOI: 10.5281/zenodo.8302265
title: Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane

description: Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane. Figure 6: Astrometric trends<br> trend.dat Figure 7: Deformation residuals<br> gfa-south-west.dat Figure 10: Turbulence<br> e2c.dat<br> b2c.dat Figure 11: Turbulence Corrected<br> turbcorr.dat Figure 13: Quiver residuals<br> quiver-R.dat Figure 14: Dither offsets<br> dither20220518-R.dat Figure 15: Chromatic residuals<br> chromatic.dat Figure 16: Temperature dependence<br> tempscale.dat<br>
DOI: 10.13140/rg.2.2.12024.01286
title: Métodos Quantitativos de Otimização: Uma Introdução à Pesquisa Operacional. Adamantina: Editora Espaço Cultural do Brasil, 2009, p.113.