cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7096199
title: CLM Standalone Simulation lpisector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.6084/m9.figshare.21436504
title: Timing and duration of ephemeral Antarctic water tracks and wetlands using high temporal–resolution satellite imagery, high spatial–resolution satellite imagery, and ground-based sensors in the McMurdo Dry Valleys

description: Antarctic water tracks and ephemeral wetlands are a primary location for biogeochemical soil processes driving cold desert soil formation. Though the spatial extent of water tracks and wetted soils has been mapped in the McMurdo Dry Valleys (MDV) on the basis of mapping darkened pixels in high-resolution commercial satellite imagery, the timescale over which water tracks and wetlands form and the duration of these biogeochemically active environments remain unknown. Here, we determine the start date and end dates and the duration of wetted soils at ten sites located across the MDV using a combination of in situ soil sensors and two complementary remote imaging platforms (Planet and WorldView) to understand the hydroclimatic processes that drive water track and wetland formation. Our remote sensing employs a terrain correction workflow that removes the contribution of differential direct illumination and small-scale shadowing on pixel brightness, reducing false positives (soils identified as wetted when in fact they are shadowed or darkened as a consequence of high phase angle). Our findings extend the water track and wetland hydroperiod by over a month, showing darkening occurring from November to March, suggesting hydrological contributions from ground ice thaw, snowmelt, and salt deliquescence and soil brine growth.
DOI: 10.6084/m9.figshare.21436504.v1
title: Timing and duration of ephemeral Antarctic water tracks and wetlands using high temporal–resolution satellite imagery, high spatial–resolution satellite imagery, and ground-based sensors in the McMurdo Dry Valleys

description: Antarctic water tracks and ephemeral wetlands are a primary location for biogeochemical soil processes driving cold desert soil formation. Though the spatial extent of water tracks and wetted soils has been mapped in the McMurdo Dry Valleys (MDV) on the basis of mapping darkened pixels in high-resolution commercial satellite imagery, the timescale over which water tracks and wetlands form and the duration of these biogeochemically active environments remain unknown. Here, we determine the start date and end dates and the duration of wetted soils at ten sites located across the MDV using a combination of in situ soil sensors and two complementary remote imaging platforms (Planet and WorldView) to understand the hydroclimatic processes that drive water track and wetland formation. Our remote sensing employs a terrain correction workflow that removes the contribution of differential direct illumination and small-scale shadowing on pixel brightness, reducing false positives (soils identified as wetted when in fact they are shadowed or darkened as a consequence of high phase angle). Our findings extend the water track and wetland hydroperiod by over a month, showing darkening occurring from November to March, suggesting hydrological contributions from ground ice thaw, snowmelt, and salt deliquescence and soil brine growth.
DOI: 10.5281/zenodo.7096198
title: CLM Standalone Simulation lpisector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.21227/g0xj-mk68
title: hope/amd

description: RFID tracking data collected from the seventh HOPE (Hackers On Planet Earth) conference held in July 18-20, 2008. RFID tracking data was collected from the seventh HOPE (Hackers On Planet Earth) conference which was held in July 18-20, 2008. Conference attendees received RFID badges that uniquely identify and track them across the conference space.date/time of measurement start: 2008-07-18date/time of measurement end: 2008-07-20collection environment: RFID technology is now ubiquitous. RFID tags are used to track people and their belongings, monitor their behavior, make payments on major transit systems, manage store inventories, and far more. The AMD, or "Attendee Meta-Data", project is an attempt to apply the RFID technology to the seventh HOPE (Hackers On Planet Earth) conference, which was held at the Hotel Pennsylvania in New York City, July 18-20, 2008. The AMD project aims to transparently show that the RFID technology can be used to connect each of the conference attendees with other people so they get a better conference experience.network configuration: RFID is an acronym for "radio frequency identification". In the case of the AMD or "Attendee Meta-Data" project, people can wear a special badge with an RFID "chip" inside which responds to RFID "readers" placed around the conference. The chip can tell the reader where it is, and we can use that to follow people around the conference. The badges, commissioned by Mitch Altman, inventor of TV-B-Gone, expanded on equipment from the Sputnik project, an experiment in RFID tracking at the 24th Chaos Communication Congress held in Berlin last year.data collection methodology: Attendees receive RFID badges that uniquely identify and track them across the conference space. Location information is incredibly accurate - visitors' exact locations and movements are monitored in real time, and used to drive social networking features which completely change the conference experience.sanitization: Private information is either anonymized (e.g., EMAIL, LOCATION) or removed (e.g., PHONE, ROOM_NUMBER).limitation: Due to obvious privacy concerns, it only follows people in the most public areas (such as talk rooms). People who are not on the mezzanine or 18th floor will not be trackable.
DOI: 10.5281/zenodo.7096187
title: CLM Standalone Simulation rassector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096186
title: CLM Standalone Simulation rassector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096181
title: CLM Standalone Simulation pujsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096180
title: CLM Standalone Simulation pujsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096165
title: CLM Standalone Simulation nspsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096164
title: CLM Standalone Simulation nspsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.7294/21405960
title: Alternative analytics strategies to complement meta-regression analyses in animal nutrition: an example exploring variation in milk yield and composition - Supplementary Material

description: This is the list of publications used for a meta-analysis. In the list, references for 105 publications used for this database is presented. Publications were selected based on following criteria. Studies were constrained to those English-language papers presenting <em>in vivo</em> experiments reporting data on dietary ingredients, inclusion rates, total and individual volatile fatty acid molar proportions, milk yield, and composition; and reporting least squares means and standard errors of the means (SEM) or standard deviation (SD) for milk outcomes.
DOI: 10.7294/21405960.v1
title: Alternative analytics strategies to complement meta-regression analyses in animal nutrition: an example exploring variation in milk yield and composition - Supplementary Material

description: This is the list of publications used for a meta-analysis. In the list, references for 105 publications used for this database is presented. Publications were selected based on following criteria. Studies were constrained to those English-language papers presenting <em>in vivo</em> experiments reporting data on dietary ingredients, inclusion rates, total and individual volatile fatty acid molar proportions, milk yield, and composition; and reporting least squares means and standard errors of the means (SEM) or standard deviation (SD) for milk outcomes.
DOI: 10.5281/zenodo.7267661
title: All Data Used in "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks"

description: This dataset submission contains the data necessary to reproduce any and all results presented in the paper "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks", set to be submitted for publication in the coming days.
DOI: 10.5281/zenodo.7267660
title: All Data Used in "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks"

description: This dataset submission contains the data necessary to reproduce any and all results presented in the paper "The effects of Time-Variable Absorption due to Gamma-Ray Bursts In Active Galactic Nuclei Accretion Disks", set to be submitted for publication in the coming days.
DOI: 10.5281/zenodo.7096153
title: CLM Standalone Simulation nsisector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096152
title: CLM Standalone Simulation nsisector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.24378/exe.4244
title: 3D modelling of the impact of stellar activity on tidally-locked terrestrial exoplanets: atmospheric composition and habitability (dataset)

description: Stellar flares present challenges to the potential habitability of terrestrial planets orbiting M dwarf stars through inducing changes in the atmospheric composition and irradiating the planet's surface in large amounts of ultraviolet light. To examine their impact, we have coupled a general circulation model with a photochemical kinetics scheme to examine the response and changes of an Earth-like atmosphere to stellar flares and coronal mass ejections. We find that stellar flares increase the amount of ozone in the atmosphere by a factor of 20 compared to a quiescent star. We find that coronal mass ejections abiotically generate significant levels of potential bio-signatures such as N2O. The changes in atmospheric composition cause a moderate decrease in the amount of ultraviolet light that reaches the planets surface, suggesting that while flares are potentially harmful to life, the changes in the atmosphere due to a stellar flare acts to reduce the impact of the next stellar flare.
description: This dataset contains a series of netCDF files that contain the data that created the figures in Ridgway et al 2022. This dataset was derived from Unified Model output files, which themselves were created from simulations.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/131398
DOI: 10.6084/m9.figshare.21355338
title: Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales

description: Movement and acoustic data obtained from multi-sensor biologging devices are fundamental to assess the behavior of marine megafauna and also their responses to anthropogenic activities. We joined movement and acoustic data on 24 sperm whales instrumented with DTAGs, between 2017 and 2019 in the Azores archipelago, Portugal. Data were filtered to remove: a) the first foraging dive cycle or 1-hour of non-foraging period after tagging; b) periods that might be affected by the presence of the research boat; c) vertical orientation shift periods, during vertical resting. The dataset is presented in “per dive” (i.e., every row corresponds to a value/average per dive) as: the sperm whale identification (Pma_ID); the dive number (Dive); the number of buzzes (Buzzes); the number of buzzes per foraging phase (Buzz_per_min); the foraging dive duration in minutes (Foraging_dive_duration); the descent phase duration in minutes (Descent); the descent phase ratio within the whole dive (Descent_ratio); the bottom phase duration in minutes (Bottom); the bottom phase ratio within the whole dive (Bottom_ratio); the ascent phase duration in minutes (Ascent); the ascent phase ratio within the whole dive (Ascent_ratio); the search phase duration in minutes (Search); the search phase ratio within the whole dive (Search_ratio); the foraging phase duration in minutes (Foraging); the foraging phase ratio within the whole dive (Foraging_ratio); the presence of whale watching vessels per foraging dive (Vessel_per_dive; yes/no); the diel period (Day_night; day/night). For further details please check Oliveira et al. 2022 “Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales”.
DOI: 10.6084/m9.figshare.21355338.v2
title: Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales

description: Movement and acoustic data obtained from multi-sensor biologging devices are fundamental to assess the behavior of marine megafauna and also their responses to anthropogenic activities. We joined movement and acoustic data on 24 sperm whales instrumented with DTAGs, between 2017 and 2019 in the Azores archipelago, Portugal. Data were filtered to remove: a) the first foraging dive cycle or 1-hour of non-foraging period after tagging; b) periods that might be affected by the presence of the research boat; c) vertical orientation shift periods, during vertical resting. The dataset is presented in “per dive” (i.e., every row corresponds to a value/average per dive) as: the sperm whale identification (Pma_ID); the dive number (Dive); the number of buzzes (Buzzes); the number of buzzes per foraging phase (Buzz_per_min); the foraging dive duration in minutes (Foraging_dive_duration); the descent phase duration in minutes (Descent); the descent phase ratio within the whole dive (Descent_ratio); the bottom phase duration in minutes (Bottom); the bottom phase ratio within the whole dive (Bottom_ratio); the ascent phase duration in minutes (Ascent); the ascent phase ratio within the whole dive (Ascent_ratio); the search phase duration in minutes (Search); the search phase ratio within the whole dive (Search_ratio); the foraging phase duration in minutes (Foraging); the foraging phase ratio within the whole dive (Foraging_ratio); the presence of whale watching vessels per foraging dive (Vessel_per_dive; yes/no); the diel period (Day_night; day/night). For further details please check Oliveira et al. 2022 “Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales”.
DOI: 10.6084/m9.figshare.21355338.v1
title: Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales

description: Movement and acoustic data obtained from multi-sensor biologging devices are fundamental to assess the behavior of marine megafauna and also their responses to anthropogenic activities. We joined movement and acoustic data on 24 sperm whales instrumented with DTAGs, between 2017 and 2019 in the Azores archipelago, Portugal. Data were filtered to remove: a) the first foraging dive cycle or 1-hour of non-foraging period after tagging; b) periods that might be affected by the presence of the research boat; c) vertical orientation shift periods, during vertical resting. The dataset is presented in “per minute” (i.e., every row corresponds to 1 minute data) as: the sperm whale identification (<strong>Pma_ID</strong>); the type of DTAG used (<strong>Tag_type</strong>; Tag_type will be either DTAG-3 or DTAG-4); the dive number (<strong>Dive#</strong>; when Dive#=0 means the individual is at or near the surface); the time in seconds (<strong>Time</strong>) and local hour in UTC (<strong>Local_hour</strong>); the depth in meters (<strong>Depth</strong>); the pitch (<strong>Pitch</strong>), standard deviation of pitch (<strong>Std_pitch</strong>), roll (<strong>Roll</strong>), standard deviation of roll (<strong>Std_roll</strong>) and heading (<strong>Heading</strong>) of the individual (all in radians); the vertical velocity in m/s (<strong>Vertical_velocity</strong>); the Overall Dynamic Body Acceleration in m/s2 (<strong>ODBA</strong>); the number of buzzes (<strong>Buzz</strong>); the descent, bottom, ascent, surface, search and foraging phases (<strong>Descent_phase</strong>, <strong>Bottom_phase</strong>, <strong>Ascent_phase</strong>, <strong>Surface_phase</strong>, <strong>Search_phase</strong> and <strong>Foraging_phase</strong>, respectively; “1” means the occurrence of the respective phase); the non-foraging periods that may contain resting (horizontal and vertical), socialization and travelling (<strong>Non_foraging</strong>); the diel period (<strong>Day_night</strong>; Day=1; Night=0); the presence of whale watching vessels per foraging dive (<strong>Vessel_per_dive</strong>); the presence of whale watching vessels per non-foraging periods (<strong>Vessel_non_foraging</strong>); the periods that were visually observed from the research boat (<strong>Visual_Researchboat</strong>); and the fluking or gliding behavior (<strong>Fluking_Gliding</strong>; Fluking=1; Gliding=0). For further details please check Oliveira et al. 2022 “Exposure to whale watching vessels affects dive ascents and resting behavior in sperm whales”.
DOI: 10.5281/zenodo.7096159
title: CLM Standalone Simulation ngasector_pi_exper22

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096158
title: CLM Standalone Simulation ngasector_pi_exper22

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096144
title: CLM Standalone Simulation knysector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096143
title: CLM Standalone Simulation knysector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.6084/m9.figshare.21436542
title: Untitled ItemChange detection vs. change localization for faces, words and houses.

description: The data present accuracy in change detection and change localization for words, faces and houses.
DOI: 10.6084/m9.figshare.21436542.v1
title: Untitled ItemChange detection vs. change localization for faces, words and houses.

description: The data present accuracy in change detection and change localization for words, faces and houses.
DOI: 10.5281/zenodo.7096138
title: CLM Standalone Simulation mausector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096137
title: CLM Standalone Simulation mausector_pi_exper22a

description: See Readme_Simulations_c221028.pdf
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.6084/m9.figshare.21436518
title: Data File for "The Political Economy of Medical Marijuana Laws"

description: Data file from: <br> Joshua Hall and Jesse Schiefelbein, “The Political Economy of Medical Marijuana Laws,” <em>Atlantic Economic Journal</em> 39(2) 2011: 197-198.
DOI: 10.6084/m9.figshare.21436518.v1
title: Data File for "The Political Economy of Medical Marijuana Laws"

description: Data file from: <br> Joshua Hall and Jesse Schiefelbein, “The Political Economy of Medical Marijuana Laws,” <em>Atlantic Economic Journal</em> 39(2) 2011: 197-198.
DOI: 10.6084/m9.figshare.21080545.v1
title: Metal-free synthesis of indenone derivatives from <i>ortho</i>-alkynylaryl ketones mediated by the combination of dialkyl phosphonates and CBr<sub>4</sub>

description: A novel metal-free synthesis of indenone derivatives mediated by CBr<sub>4</sub> and diethyl phosphonate is reported. The methodology has a relatively wide substrate scope and is suitable to access a π-extended indenone and an <i>s</i>-indacene-1,5-dione derivative as well.
DOI: 10.5281/zenodo.7086021
title: CLM Standalone Simulation badsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7086020
title: CLM Standalone Simulation badsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.15156/bio/2483931
title: 454-sequences and metadata to the study of Ericaceae hair root mycobionts from Central Europe and Patagonia
DOI: 10.5281/zenodo.7096123
title: CLM Standalone Simulation kinsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096122
title: CLM Standalone Simulation kinsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096119
title: CLM Standalone Simulation kilsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).
DOI: 10.5281/zenodo.7096118
title: CLM Standalone Simulation kilsector_pi_exper22a

description: See Readme_Simulations_c221028.pdf<br>
description: The creation and archiving of these simulations were funded by the US National Science Foundation's Sedimentary Geology and Paleobiology Program (EAR-1849754).