cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fbd0f649443f4f9383ad50f8c4f58bd4
title: Harvard Forest Summer Research Program in Ecology Pre/Post Survey 2006-2015

description: Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (Research Experiences for Undergraduates (REU) Supplements and Sites: Program Solicitation NSF 05-592, 2005). One of the primary objectives of this initiative was to evaluate the degree of student learning aligned with specific programmatic goals. A comprehensive assessment tool for BIO REU programs would not implemented until 2010 using the Undergraduate Research Student Self-Assessment (URSSA) survey. Although the implementation of URSSA does provide national programmatic benchmarks, it is limited to a single post assessment which does not capture the change associated with the intervention project. This inability to capture the degree of gains is further exacerbated by the high caliber students recruited by HF-SRPE, presumably entering with more extensive skillsets.
DOI: 10.6084/m9.figshare.15090747.v1
title: Supplemental data_PEG-rhGH 0.2mg/kg weekly vs every other week in children with growth hormone deficiency: A phase IV noninferiority trial

description: Supplemental results (tables)
DOI: 10.6084/m9.figshare.14761272
title: Supplementary Material for: A simple prognostic scoring system for hepatocellular carcinoma treated with selective internal radiation therapy

description: Medicine
DOI: 10.6084/m9.figshare.15090600
title: Supplementary Material for: Gender-Related Differences in Hypertrophic Cardiomyopathy: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Gender-related differences in phenotypic expression and outcomes have been established in many cardiac conditions; however, the impact of gender in hypertrophic cardiomyopathy (HCM) remains unclear. We conducted a systematic review and meta-analysis to assess the differences in clinical outcomes between female and male HCM patients. <b><i>Methods:</i></b> We searched MEDLINE and EMBASE from inception to October 2020. Included were cohort studies that compared outcomes of interest including all-cause mortality, HCM-related mortality, and worsening heart failure (HF) or HF hospitalization between male and female. Data from each study were combined using the random effects model to calculate pooled odds ratio (OR) with 95% confidence interval (CI). <b><i>Results:</i></b> Eleven retrospective cohort studies with a total of 9,427 patients (3,719 females) were included. Female gender was significantly associated with an increased risk of all-cause mortality (pooled OR = 1.63, 95% CI: 1.26–2.10, <i>p</i> ≤ 0.001), HCM-related mortality (pooled OR = 1.47, 95% CI: 1.08–2.01, <i>p</i> = 0.015), and worsening HF or HF hospitalization (pooled OR = 2.05, 95% CI: 1.76–2.39, <i>p</i> ≤ 0.001). <b><i>Conclusions:</i></b> Female gender was associated with a worse prognosis in HCM. These findings suggest the need for improved care in women including early identification of disease and more possible aggressive management. Moreover, gender-based strategy may benefit in HCM patients.
DOI: 10.25810/h7ch-ee74
title: Danish Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - June 2021

description:  The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/14ae5fb52674c6f97f59392625c2be85
title: Detection Probability of Red Wood Ants in Friedenweiler, Germany 2015

description: Estimation of population sizes and species ranges is central to population and conservation biology. It is widely appreciated that imperfect detection of mobile animals must be accounted for when estimating population size from presence-absence data. Sessile organisms also are imperfectly detected, but correction for detection probability in estimating their population sizes is rare. We illustrate challenges of detection probability and population estimation of sessile organisms using censuses of red wood ant (Formica rufa-group) nests as a case study. These ants, widespread in the northern hemisphere, can make large (up to 2m tall), highly visible nests. Using data from a two-day mapping campaign by eight individuals of 147 ant nests spread across sixteen 3600-m2 plots in the Black Forest region of southwest Germany, we developed a Bayesian model for quantifying detection probability of sessile organisms. Detection probabilities by individual observers of red wood ant nests ranged from 0.31 – 0.56, and depended on experience of the observers, size and density of nests, and habitat characteristics. Robust estimation of population density of sessile organisms—even highly apparent ones such as red wood ant nests—requires unbiased estimation of detection probability, just as it does when estimating population density of rare or cryptic species.
DOI: 10.6073/pasta/3c235751afcfece31802693a6059e3ee
title: Butterfly, Dragonfly and Damselfly Species at Harvard Forest since 2015

description: I report on preliminary observations of butterflies in small meadows in the vicinity of “Harvard Farm” (formerly Petersham Country Club) in Petersham, MA, from 16-20 July 2015. I sampled butterflies at 10 locations over five days, visiting some areas twice. I documented (with digital photography) a total of 17 recognizable species/morpho-species, as well as 2-8 additional “grass skippers” which could not be identified to species. Initially I had planned to conduct a more organized survey, but most of the property had been grazed by the time I arrived in mid-July. This, combined with the late start date, meant that flowers – and nearly all butterflies – were absent at the Harvard Farm property during my visit. Instead, I opted to opportunistically sample several un-grazed meadows in the Petersham area, including North Common Meadow near the center of town and small meadows on Harvard Forest property, to develop a species list and photographic database of as many local butterflies as possible. From these surveys, the most numerous species were clouded/orange sulfur (Colias spp.; 34 individuals observed), followed by great spangled fritillary (Speyeria cybele; n = 32) and unidentified grass-skippers (various genera; n = 32). Moderately common species (n = 8-12) included Common wood-nymph (Cercyonis pegala), American copper (Lycaena phlaeas) and cabbage white (Pieris rapae); fewer than 4 individuals were recorded of: black/spicebush swallowtail (Papilio sp.), banded hairstreak (Satyrium calanus), gray hairstreak (Strymon melinus), azure (Celastrina ladon), eastern tailed-blue (Everes comyntas), pearl crescent (Phycioides tharos), eastern comma (Polygonia comma), Appalachian brown (Satyodes appalachia), northern pearly-eye (Enodia anthedon), and silver-spotted skipper (Epargyreus claras). These observations should be taken as preliminary, but may serve as a list of the most common and conspicuous butterfly taxa during mid-summer in the Petersham area, and could inform study design and focal species lists for future projects in and around Harvard Forest.
DOI: 10.6073/pasta/f1e9ca121bc4ced716da00a448178d4a
title: Land-Cover Change Scenarios for Massachusetts 2010-2060

description: Working with a panel of practitioners and regional experts, we developed and analyzed four plausible but divergent land-use scenarios that depict the future of Massachusetts from 2010 to 2060. We simulated the land-use scenarios and their interactions with anticipated climate change by coupling statistical models of land use to the LANDIS-II landscape model and then evaluated the outcomes in terms of the magnitude and spatial distribution of (1) direct human uses of the landscape (residential and commercial development, agricultural, timber harvest), (2) ecosystem services (carbon storage, flood regulation, nutrient retention), and (3) habitat quality (forest tree species composition, interior forest habitat). Across all scenarios, conflicts occurred between dispersed residential development and the supply of ecosystem services and habitat quality. In all but the scenario that envisioned a significant agricultural expansion, forest growth resulted in net increases in aboveground carbon storage, despite the concomitant forest clearing and harvesting. One scenario, called Forests as Infrastructure, showed the potential for synergies between increased forest harvest volume through the sustainable practices that encouraged the maintenance of economically and ecologically important tree species, and carbon storage. This scenario also showed trade-offs between development density and water quantity and quality at the watershed scale. The process of integrated scenario analysis led to important insights for land managers and policymakers in a populated forested region where there are tensions among development, forest harvesting, and land conservation. More broadly, the results emphasize the need to consider the consequences of contrasting land-use regimes that result from the interactions between human decisions and spatially heterogeneous landscape dynamics.
DOI: 10.6073/pasta/1e1d9ef0b7993ba3c19cf94a803b7865
title: Landscape Phenology from Unmanned Aerial Vehicle Photography at Harvard Forest 2013

description: This data set contains orthophotos in the vicinity of the EMS tower at Harvard Forest, as well as the flight logs from the unmanned aerial vehicle (UAV) used to obtain the digital images used in orthophoto creation. Orthophotos were created by mosaicking approximately 200 JPEG images from each date of observation. The orthophotos cover the spatial extent of the 250 meter resolution MODIS pixel that contains the EMS tower. Land cover types in the area of photography include deciduous and evergreen forest, and wetlands. The research goal of data collection for this data set was to observe spatial variance in plant phenology. Therefore, photos were taken from before leaf out until after leaf drop. Orthophotos were collected approximately every 5 days during spring and weekly during fall; see filenames for specific dates. The nominal spatial resolution of the orthophotos is 6 cm, however due to various factors including inaccuracy of the onboard GPS, wind-blown motion of trees, the automated orthophoto mosaicking process, and user error in final georeferencing, image analysis has been conducted at 10 m resolution. The orthophotos are available as GeoTIFF files.
DOI: 10.6073/pasta/366cbb1f4f25328cca1b2d9ad38dbb28
title: Metaproteomic Analysis of Sarracenia Purpurea Pitcher Fluid at Harvard Forest 2012-2017

description: Aquatic ecosystem enrichment can lead to distinct and irreversible changes to undesirable states. Understanding changes in active microbial community function and composition following organic-matter loading in enriched ecosystems can help identify biomarkers of such state changes. In a field experiment, we enriched replicate aquatic ecosystems in the pitchers of the northern pitcher plant, Sarracenia purpurea. Shotgun metaproteomics using a custom metagenomic database identified proteins, molecular pathways, and contributing microbial taxa that differentiated control ecosystems from those that were enriched. The number of microbial taxa contributing to protein expression was comparable between treatments; however, taxonomic evenness was higher in controls. Functionally active bacterial composition differed significantly among treatments and was more divergent in control pitchers than enriched pitchers. Aerobic and facultative anaerobic bacteria contributed most to identified proteins in control and enriched ecosystems, respectively. The molecular pathways and contributing taxa in enriched pitcher ecosystems were similar to those found in larger enriched aquatic ecosystems and are consistent with microbial processes occurring at the base of detrital food webs. Detectable differences between protein profiles of enriched and control ecosystems suggest that a time series of environmental proteomics data may identify protein biomarkers of impending state changes to enriched states.
DOI: 10.17632/jj52wcb73t.1
title: Awe and Branding 1

description: Data from the Awe and Branding 1 message experiment.
DOI: 10.17632/dg7d62zsr4.1
title: Supplemental Data: The Impact of Psoriasis and Sexual Orientation on Mental and Physical Health Among Adults in the United States

description: Supplemental Table 1. Psoriasis severity and medical co-morbidities by sexual orientation among adults aged 18–59 years with psoriasis, NHANES 2003-2006 & 2009-2014. Supplemental Figure 1. Flow Diagram.
DOI: 10.17632/d8zw6x3vxf.1
title: Data and Code from Collier, Cotten, and Roush

description: Survey data and Stata code from "Using Pandemic Behavior to Test the External Validity of Laboratory Measurements of Risk" by Collier, Cotten, and Roush.
DOI: 10.17632/d8zw6x3vxf.2
title: Data and Code from Collier, Cotten, and Roush

description: Survey data and Stata code from "Using Pandemic Behavior to Test the External Validity of Laboratory Measurements of Risk" by Collier, Cotten, and Roush.
DOI: 10.17632/mwgjgbb84z.3
title: Dataset on the Beopjusa temple and Korea Meteorogical Administration

description: Micro environment, Wooden structure, Long-term monitoring, Difference in monthly average value
DOI: 10.17632/89fwj6yb8z.1
title: household profiles

description: electrical and thermal consumption profile, PV generation profile, and EV driving profile in 10-minute time resolution for 20 average households in Munich, Germany Consumption and EV driving profile are output of FfE household load generator [1]. PV generation profile is based on solar data [2] [1] Müller, M.; Biedenbach, F.; Reinhard, J. Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households. Energies 2020, 13, 3843. [2] Schroedter‐Homscheidt, Marion et al.: User’s Guide to the CAMS Radiation Service - Status December 2016. Shinfield Park: ECMWF, 2016.
DOI: 10.17632/k698sznwf6.2
title: The Mediating Role Of Life Satisfaction, Internet Gaming Disorder, And Negative Affect Within The Relationship Of Basic Psychological Needs Satisfaction And Depression

description: Abstract The purpose of this study was to propose a model in order to examine the relationships between Internet Gaming Disorder (IGD), depression, life satisfaction (LS), basic psychological needs satisfaction (BPNS), and negative affect (NA). A total of 339 university students participated in this study. Of the participants, 244 mentioned that they played digital games, and 95 mentioned that did not play any games. Of these 244 students, 131 were female (53.7%) and 113 were male (46.3%). In the study, Personal Information Form, Internet Gaming Disorder-ShortForm, Basic Psychological Needs Satisfaction Scale, Negative Affect Scale, and The Satisfaction With Life Scale were used as data collection tools. As a result of the structural equation model, it was found that the relationship between basic psychological needs and IGD was mediated by life satisfaction. Besides, it was concluded that negative affect mediated the relationship between IGD and depression. Key Words: IGD, Basic Psychological Need Satisfaction, Life satisfaction, Negative Affect, Depression
DOI: 10.17632/s4b8ztvnxd.1
title: ER_YY_ATR-RPA

description: Figure Data, Representative Images, and Matlab code used in this work
DOI: 10.17632/3w5rnpkcmw.1
title: Characteristics and Kinetics of Bainite Transformation Behaviour in a High-Silicon Medium-Carbon Steel Above and Below the Ms Temperature

description: this data are about kinetic of bainite formation
DOI: 10.17632/fpfty8nn7j.1
title: ACHENY : A Standard Chenopodiaceae Image dataset for Deep Learning Models

description: This dataset includes 27,030 images of 30 species of Chenopod from their natural habitats and is called ACHENY (Autumn Chenopod of Yazd). From each class, different numbers of images (300-1461) of the entire plants and branches were captured in the natural habitat of the plant. In summary, out of 27,030 ACHENY images, 2,703 images were dropped for testing. 24,327 remaining images, in each folding, 4,867 images were used for validation and 19,460 images were used for training. The number of images from each class used for testing, validation, and training, was 10%, 18%, and 72% respectively. Images were collected from multiple Chenopod bushes, at different camera-to-target distances and from different viewpoints and angles. The test specimens were selected from bushes distinct from the training specimens. The reason is to ensure, as far as possible, that the train and test samples are distinct and do not share common images. The Chenopodiaceae plant is important vegetation around the world. Chenopodiaceae has various species that are ecologically and financially important. These species play a significant role in biodiversity. Biodiversity protection is very critical for the survival and sustainability of each ecosystem. Plants species recognition in their natural habitats is the first process in plants diversity protection. Automatic plant recognition by using image processing and computer vision can reduce the cost and time effectively. Modern computer vision approaches are based on deep learning techniques. In order to perform a deep learning algorithm, the existence of a standard dataset is very essential. Experimental Design, Materials, and Methods 1. Camera specification and setting Imaging is performed using two different cameras: a) Nikon COOLPIX S2800 digital camera with a 1: 1 (14.9-megapixel) 3864-by-3864 resolution. b) Samsung SM-J701F mobile with a 1: 1 (3.7-megapixel) 1920-by-1920 resolution. Both cameras were utilized for image collection in natural light during days. 2. Imaging time and conditions Studied Chenopodiaceae species often have flowers and fruits in the autumn, hence imaging is performed in November and December in their habitat. Outdoors and nature have many uncontrollable factors affecting images, such as light intensity throughout the day, wind blowing, cloudy skies or sunshine, atmospheric precipitation, foggy air, and so on. Imaging was performed at different times of sunny, cloudy and windy days in natural sunlight. Some other factors also affect acquired images, such as camera-to-target distances, viewing angles, location of light sources, and so on.
DOI: 10.17632/xfv7v9k45r.1
title: Mutations in the transcription factor FOXO1 mimic positive selection signals to promote germinal center B cell expansion and lymphomagenesis _ Roberto, Varano et al
DOI: 10.17632/8wfj3285gd.1
title: Data for: An Individual-Differences Approach to Poetic Metaphor: Impact of Aptness and Familiarity

description: Appendices and Tests used in the study "An Individual-Differences Approach to Poetic Metaphor: Impact of Aptness and Familiarity" Appendix I: Items in Metaphor Comprehension Test (Aptness and Familiarity Sets) Appendix II: Metaphor Task: Examples of Scoring Table S1: Summary of Full Model for Predicting Metaphor Comprehension Scores Semantic Similarities Test (Serbian) Semantic Similarities Test (English)
DOI: 10.17632/gjj68bmv8d.1
title: Time Series Data for Monthly Respiratory Diseases Deaths in 61 Countries from 2000 to 2016

description: This data file is prepared to show the step by step data preparation for the paper entitled "A New Ensemble Learning Strategy for Panel Time-Series Forecasting with Applications to Tracking Respiratory Disease Excess Mortality during the COVID-19 pandemic" by Afshin Ashofteh, Jorge M. Bravo and Mercedes Ayuso. For detailed information, please refer to the paper.
DOI: 10.17632/cthy7rd4n2.1
title: Tradable Performance Standards in the Transportation Sector

description: Figure data Sonia Yeh, Dallas Burtraw, Thomas Sterner, David Greene, Tradable performance standards in the transportation sector, Energy Economics, 2021, 105490, ISSN 0140-9883, https://doi.org/10.1016/j.eneco.2021.105490. (https://www.sciencedirect.com/science/article/pii/S0140988321003765) Abstract: Performance standards have a long history in environmental policy. A performance standard sets a standard of technology performance but leaves technology choice to producers; it increases the relative costs of technologies with undesirable performance characteristics and lowers the costs of technologies with desirable characteristics. The primary motivations are to promote innovation, to address consumers' undervaluation of efficiency, and to reduce externalities, such as air pollution and the risks of dependence on foreign oil. In the past decade, trading has been incorporated (thus termed as tradable performance standard, TPS) into several U.S. transportation programs: regulations for greenhouse gas emissions from passenger cars and trucks (national), zero-emission vehicle programs (10 states), the Renewable Fuel Standard (national), and low-carbon fuel standards (two states). TPS allows for equalization of marginal costs across eligible technologies and is therefore more efficient than pure regulations. We show that sectoral TPS programs have high credit prices but low price effects on products and provide strong incentives for upstream innovation and technology transformation. Unlike emissions pricing, however, they do not have a strong output effect: consumers do not bear the full cost of the pollution and do not have incentive to reduce consumption of polluting products. Given that the expected carbon price may be too low to substantially affect transportation demand or technology change, combining TPS with a carbon price may be necessary to drive innovation and achieve a sustained low-carbon transformation in the sector. Keywords: Policy instruments; Transportation; Performance-based standard; Innovation; Mitigation cost; Complementary policy