cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24431/rw1k43s
title: Toxin results from paralytic shellfish toxin (PST) as analyzed by Abraxis ELISA, Alaska, 2012-2014

description: This project evaluated the Abraxis Saxitoxin Enzyme-Linked Immunosorbent Assay (ELISA) for Testing Subsistence Alaska Shellfish for paralytic shellfish toxin on three commonly harvested Alaskan bivalve species. High performance liquid chromatography (HPLC) was used to validate the Abraxis test results and provided an assessment of the PST toxin analog composition.This data set provides field sample and recreational sample collection and preparation information including regional location, site-specific location, collection date, assigned sample identification number and number of individuals collected per sample (as appropriate). The data also includes shellfish tissue homogenization details including date of tissue homogenization, and tissue weights (pre and post drained); and toxin extraction details including extraction date, the tissue weight and volume used for extraction, and pH values measured during extraction. Toxin results for Abraxis ELISA were analyzed by Kodiak Seafood and Marine Science Center Laboratory and toxin results for HPLC were analyzed by Alaska Department of Environmental Conservation (ADEC) Environmental Health Laboratory (EHL) by post column oxidation (PCOX) high performance liquid chromatography (HPLC) – PCOX HPLC/Fluorescence.
DOI: 10.25919/5e4dadd7e6cad
title: Parkes observations for project P574 semester 2019OCTS_05

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The primary science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on 75 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.21227/g3ar-2383
title: H2Arm - BSP vs PID experiments

description: Many different methods have been proposed in the control and robotics literature for the control of robotics arms. Our main aim is to provide a complete software and hardware platform which allow the statistical replication of our results and the experimentation of other more or less sophisticated control strategies and algorithms.In our work, in order to validate our reproducible research platform and provide a template methodology for its usage, we have thoroughly compared in a reproducible way the performance of simple BSP and PID controls when applied to a light-weight, low accuracy and compliant open source robot arm (H2Arm). BSP significantly outperforms PID on this platform, but not w.r.t. to all metrics.The findings are interesting by themselves. They also show how easily statistically weak results can lead to qualitatively wrong conclusions, if you cherry-pick results.The present dataset contains: i) CAD design to 3D-print the H2Arm; ii) experimental data of comparison BSP vs PID; iii) all the code used to perform the experiments (both BSP and PID).
DOI: 10.5281/zenodo.3552827
title: Visuo-motor dataset recorded from a micro-farming robot

description: This is the accompanying dataset of the paper [1] describing algorithms for intrinsic motivation and episodic memory on the Sony LettuceThink microfarming robot. The LettuceThink microfarming robot developed by Sony Computer Science Laboratories consists of an aluminium frame with an X-Carve CNC machine mounted on it. The CNC machine is used to provide 3-axes movements to a depth camera (Sony DepthSense) mounted at the tip of the vertical z-axis (the end-effector camera). In the experiments presented in the paper, the end-effector camera is facing top-down and only two motors are used (x and y). A simulator of the LettuceThink robot has been developed to ease the testing of different configurations of the learning system. The simulator generates sensorimotor data from requested trajectories of the end-effector camera. Knowing the initial position of the CNC machine and the target position, the simulator linearly interpolates the trajectory and returns the intermediate positions of the camera together with the images captured from each specific position. The sensorimotor data returned by the simulator have been prerecorded by performing a full scan of the (x,y) plane of the CNC machine using a resolution of 5mm. This resulted in 24,964 images, each mapped to an (x,y) position of the CNC machine. The dataset published here contains these images. In particular, the dataset consists of a set of images, each named with the specific position of the 2 motors of the robot. A python script for generating visuo-motor trajectories (sequences of data consisting of [image, motor_x, motor_y]) from this dataset is available at the following github page: https://github.com/guidoschillaci/sonylettucethink_dataset Provided with the dataset is also a python script that allows to easily read the images and to generate trajectories (returning This work has been supported by the EU-H2020 ROMI Project and by the EU-H2020 Marie Sklodowska Curie project "Predictive Robots" (grant agreement no. 838861)References: [1] Schillaci, G., Villalpando, A. P., Hafner, V. V., Hanappe, P., Colliaux, D., & Wintz, T. (2020). Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces. arXiv preprint arXiv:2001.01982.
description: Python scripts for using this dataset can be found here: https://github.com/guidoschillaci/sonylettucethink_dataset
description: {"references": ["Schillaci, G., Villalpando, A. P., Hafner, V. V., Hanappe, P., Colliaux, D., & Wintz, T. (2020). Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces. arXiv preprint arXiv:2001.01982."]}
DOI: 10.6073/pasta/c7f7251bd46ae8622b2c520eaeeaa9fe
title: Vegetative Phenology observations at the Andrews Experimental Forest, 2009 - Present

description: The vegetation phenology study is part of a larger effort to understand the influence of climate variability and change on trophic interactions in mountainous terrain. Phenology Core Sites were selected to capture the variation in elevation and topography across Lookout Creek watershed. Priority was given to sites with long-term air and soil temperature records (Reference stands) and previous phenology observations (Reference stands and stream gauging stations). Sixteen sites were established. At each site five individuals of from each 18 common species (if occurring within the site) from tree, shrub and herb layers were mapped and marked for observation. Weekly observations are conducted each year beginning in March or April depending on winter conditions and snowpack and continuing through June or July. Plant vegetative and reproductive phenophases are scored using a numbered system adapted to each plant species.
DOI: 10.5281/zenodo.3552826
title: Visuo-motor dataset recorded from a micro-farming robot

description: This is the accompanying dataset of the paper [1] describing algorithms for intrinsic motivation and episodic memory on the Sony LettuceThink microfarming robot. The LettuceThink microfarming robot developed by Sony Computer Science Laboratories consists of an aluminium frame with an X-Carve CNC machine mounted on it. The CNC machine is used to provide 3-axes movements to a depth camera (Sony DepthSense) mounted at the tip of the vertical z-axis (the end-effector camera). In the experiments presented in the paper, the end-effector camera is facing top-down and only two motors are used (x and y). A simulator of the LettuceThink robot has been developed to ease the testing of different configurations of the learning system. The simulator generates sensorimotor data from requested trajectories of the end-effector camera. Knowing the initial position of the CNC machine and the target position, the simulator linearly interpolates the trajectory and returns the intermediate positions of the camera together with the images captured from each specific position. The sensorimotor data returned by the simulator have been prerecorded by performing a full scan of the (x,y) plane of the CNC machine using a resolution of 5mm. This resulted in 24,964 images, each mapped to an (x,y) position of the CNC machine. The dataset published here contains these images. In particular, the dataset consists of a set of images, each named with the specific position of the 2 motors of the robot. A python script for generating visuo-motor trajectories (sequences of data consisting of [image, motor_x, motor_y]) from this dataset is available at the following github page: https://github.com/guidoschillaci/sonylettucethink_dataset Provided with the dataset is also a python script that allows to easily read the images and to generate trajectories (returning This work has been supported by the EU-H2020 ROMI Project and by the EU-H2020 Marie Sklodowska Curie project "Predictive Robots" (grant agreement no. 838861)References: [1] Schillaci, G., Villalpando, A. P., Hafner, V. V., Hanappe, P., Colliaux, D., & Wintz, T. (2020). Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces. arXiv preprint arXiv:2001.01982.
description: Python scripts for using this dataset can be found here: https://github.com/guidoschillaci/sonylettucethink_dataset
description: {"references": ["Schillaci, G., Villalpando, A. P., Hafner, V. V., Hanappe, P., Colliaux, D., & Wintz, T. (2020). Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces. arXiv preprint arXiv:2001.01982."]}
DOI: 10.34619/6s2r-n096
title: Latent Pathway Activation and Increased Pathway Capacity Enable Escherichia coli Adaptation to Loss of Key Metabolic Enzymes [Datasets]

description: Data from the manuscript: Fong SS, Nanchen A, Palsson BO, Sauer U. Latent pathway activation and increased pathway capacity enable Escherichia coli adaptation to loss of key metabolic enzymes. J Biol Chem. 2006;281(12):8024-8033. doi:10.1074/jbc.M510016200
DOI: 10.3886/e116215v1-22487
title: Replication data for: The Effects of Rent Control Expansion on Tenants, Landlords, and Inequality: Evidence from San Francisco

description: Using a 1994 law change, we exploit quasi-experimental variation in the assignment of rent control in San Francisco to study its impacts on tenants and landlords. Leveraging new data tracking individuals' migration, we find rent control limits renters' mobility by 20 percent and lowers displacement from San Francisco. Landlords treated by rent control reduce rental housing supplies by 15 percent by selling to owner-occupants and redeveloping buildings. Thus, while rent control prevents displacement of incumbent renters in the short run, the lost rental housing supply likely drove up market rents in the long run, ultimately undermining the goals of the law.
DOI: 10.6073/pasta/aa02a0a7cc953523707085fcd8a038fe
title: Examining Visitor Perspectives about HJA Day: Frequency Report November 2014

description: Pre- and post-HJA Day surveys were designed to help understand visitor experiences and thoughts about HJA Day 2014. A combined total of 136 individuals registered for HJA Day 2014. Registrants were requested to complete both pre- and post-HJA Day surveys either in person or online. Of these, 76 registrants completed each survey for a 56% response rate of both the pre- and post-HJA Day survey. This frequency report provides an initial look at both pre- and post-HJA Day responses.
DOI: 10.21227/1gxa-kc36
title: Four Behavioral Traits for Energy Consumption in Public Buildings

description: Behavioral traits for 115 employees in public buildings, namely sensitivity to personal comfort loss, desire for conformance to social norms, desire for teaming, desire for rewards. Data has been collected in the pilot studies of H2020 ChArGED for gamified energy conservation in public buildings (grant agreement no. 696170).
DOI: 10.21227/051k-2478
title: Four Behavioral Traits for Energy Consumption in Public Buildings

description: Behavioral traits for 115 employees in public buildings, namely sensitivity to personal comfort loss, desire for conformance to social norms, desire for teaming, desire for rewards. Data has been collected in the pilot studies of H2020 ChArGED for gamified energy conservation in public buildings (grant agreement no. 696170).
DOI: 10.6073/pasta/365d07d8c2dddb8ac6e4b16a6fccae6c
title: Ecological Forestry in Western Oregon: A Critical Analysis from Andrews Forest LTER Research, 2014-2015

description: This work highlights the normative dimensions of “ecological forestry,” a strategy of forest management that uses silviculture to mimic the effects of non-anthropogenic processes of disturbance and succession in order to meet multiple objectives on a single piece of land. An analysis of the arguments made about ecological forestry, both broadly theoretical and pertaining specifically to western Oregon, shows that empirical uncertainties and normative gaps need to be addressed before we can make a clear, well-reasoned decision about whether ecological forestry is a viable and appropriate strategy for forest management and conservation.
DOI: 10.21227/dm85-gt55
title: Four Behavioral Traits for Energy Consumption in Public Buildings

description: Behavioral traits for 115 employees in public buildings, namely sensitivity to personal comfort loss, desire for conformance to social norms, desire for teaming, desire for rewards. Data has been collected in the pilot studies of H2020 ChArGED for gamified energy conservation in public buildings (grant agreement no. 696170).
DOI: 10.17632/sbh8pnpnmn.1
title: Data for: Repurposed Electric Vehicle Battery Performance in Second-life Electricity Grid Frequency Regulation Service

description: These files contain experimental results collected in 2018 during testing of six second-life electric vehicle batteries under a 24-hour frequency regulation (FR) duty-cycle prescribed by Sandia National Laboratories (SNL). The maximum FR power in the duty-cycle is four times the 4-hour constant-power discharge rate of the battery in question. 'MeasureLogger' files contain 1-second measurement logs collected during each test. 'SummaryLogger' files contain summaries of the measurements collected during each programmed step in the test protocol. The 'Legend' file elaborates on the column headers used in the MeasureLogger and SummaryLogger files, as well as the programmed steps in the test protocol.
DOI: 10.6073/pasta/9b181a01b52f254a9cdbcba007c0a165
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): GPS Elevation, 2009-2019

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This dataset contains elevation measurements made using a differential GPS with real time kinematic correction in early August of each year and additionally in mid-May of 2019.
DOI: 10.21227/ea27-rc31
title: Four Behavioral Traits for Energy Consumption in Public Buildings

description: Behavioral traits for 115 employees in public buildings, namely sensitivity to personal comfort loss, desire for conformance to social norms, desire for teaming, desire for rewards. Data has been collected in the pilot studies of H2020 ChArGED for gamified energy conservation in public buildings (grant agreement no. 696170).
DOI: 10.6073/pasta/73e1738968a42877a37b4e0c80e07ef0
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): GPS Plot Locations

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This dataset contains plot locations made using a differential GPS with real time kinematic correction in early August of 2017.
DOI: 10.6073/pasta/8c263d69877876c5a3d6c7f47814cf3d
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (DryPEHR): GPS Plot Locations

description: This drying and warming experiment addresses the following questions: 1) Does ecosystem drying, warming and permafrost thaw cause a net release or uptake of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss? 3) How do drying and warming affect plant communities and ecosystem properties? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieved using an automated pumping system that lowers the water table in the dry plots. Soil warming began in 2008; OTCs and drying in 2011. This dataset contains plot locations made using a differential GPS with real time kinematic correction in early August of 2017.
DOI: 10.6073/pasta/7f9ffc13d7c9b77e283ebd475033597a
title: Eight Mile Lake Research Watershed, Thaw Gradient: GPS Plot Locations

description: In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. This dataset contains plot locations made using a differential GPS with real time kinematic correction in early August of 2017.
DOI: 10.6073/pasta/20c55ff49c4ebad9df2317d1c65a14ea
title: Arts and humanities in the LTER Network: understanding extent, values, and challenges by assessing the relevance of empathy in the LTER Network, 2013-2014

description: The Long-term Ecological Research (LTER) Network is a collection of 25 National Science Foundation-funded sites committed to long-term, place-based investigation of the natural world. While activities primarily focus on ecological research, arts and humanities inquiry emerged in 2002 and since then a substantial body of creative work has been produced at LTER-affiliated sites. These art-humanities-science collaborations parallel a wider trend in universities and nonprofits. However, there is little empirical work on the value and effectiveness of this work. After launching a survey in 2013 to assess the values and challenges associated with arts and humanities in the LTER Network, which identified empathy as a meaningful potential outcome of this creative work, we conducted a follow-up analysis to understand: the relevance of empathy in the LTER Network; the role of empathy in bridging arts, humanities, and science collaborations; and the capacity of empathy to connect wider audiences both to LTER science and to the natural world. Our research included phone interviews with representatives from 15 LTER sites and an audience perception survey at an LTER-hosted art show. We found that arts-humanities-science collaborations have great potential to catalyze relationships between scholars, the public, and the natural world; cultivate inspiration and empathy for the natural world; and spark awareness shifts that can enable pro-environmental behavior. Our research demonstrates the potential for art-humanities-science collaborations to facilitate conservation attitudes and action in the Network and beyond.
DOI: 10.25345/c5912d
title: MassIVE MSV000084981 - RNF168 deficiency exacerbates R-loops and causes synthetic lethality in BRCA1/2-deficient tumors
title: Project contains LC-MS data from an in-gel digestion of an in vitro ubiquitination assay to assess ubiquitination of DHX9 by RNF168.
DOI: 10.34619/x818-xy86
title: Oxygen dependence of metabolic fluxes and energy generation of Saccharomyces cerevisiae CEN.PK113-1A [Datasets]

description:  Data from the manuscript: Jouhten P, Rintala E, Huuskonen A, et al. Oxygen dependence of metabolic fluxes and energy generation of Saccharomyces cerevisiae CEN.PK113-1A. BMC Syst Biol. 2008;2:60. Published 2008 Jul 9. doi:10.1186/1752-0509-2-60
DOI: 10.6073/pasta/c227846909916e442b916eed334dd3cb
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (DryPEHR): Growing season, chamber-based, CO2 flux data, 2009-2019

description: This drying and warming experiment addresses the following questions: 1) Does ecosystem drying, warming and permafrost thaw cause a net release or uptake of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss? 3) How do drying and warming affect plant communities and ecosystem properties? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieved using an automated pumping system that lowers the water table in the dry plots. Soil warming began in 2008; OTCs and drying in 2011. This data set includes measured values of CO2 fluxes during the growing season.
DOI: 10.5281/zenodo.3676083
title: RAM Legacy Stock Assessment Database v4.46

description: RAM Legacy Stock Assessment Database version 4.46
DOI: 10.5281/zenodo.3676082
title: RAM Legacy Stock Assessment Database v4.46

description: RAM Legacy Stock Assessment Database version 4.46