cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15142/t3c917
title: Grand Staircase Escalante Economic Effects Data

description: The designation of landscape-scale national monuments has generated intense debate as to whether their regional economic effects are positive or negative. National monuments can restrict land uses, thus favoring economic development based on the low-wage tourism industry relative to higher-wage extractive industries. Utah’s Grand Staircase-Escalante National Monument has been managed for landscape-scale conservation whilst protecting existing valid uses. We assess post-designation trends in the ranching, mining, and tourism industries, after which pre- and post-designation paths of per capita income are examined using difference-in-differences and synthetic control methods. We conclude that monument designation had no effect on regional per capita income.
DOI: 10.5519/qd.f3ytslq4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2671 records)
DOI: 10.6073/pasta/84841a70dd8cc89b9a5716e3511cc3a4
title: Small Mammal Exclosure Study (SMES) Vegetation Data from the Chihuahuan Desert Grassland and Shrubland at the Sevilleta National Wildlife Refuge, New Mexico (1995-2009)

description: This is data for vegetation canopy cover measured from each of the SMES study plots. Vegetation canopy cover was measured from each of the 36 one-meter2 quadrats twice each year. Animal consumers have important roles in ecosystems, determining plant species composition and structure, regulating rates of plant production and nutrient, and altering soil structure and chemistry. The purpose of this study is to determine whether or not the activities of small mammals regulate plant community structure, plant species diversity, and spatial vegetation patterns in Chihuahuan Desert shrublands and grasslands. The purpose of this study is to determine whether or not the activities of small mammals regulate plant community structure, plant species diversity, and spatial vegetation patterns in Chihuahuan Desert shrublands and grasslands. What role if any do indigenous small mammal consumers have in maintaining desertified landscapes in the Chihuahuan Desert? Additionally, how do the effects of small mammals interact with changing climate to affect vegetation patterns over time? This study will provide long-term experimental tests of the roles of consumers on ecosystem pattern and process across a latitudinal climate gradient. The following questions or hypotheses will be addressed. 1) Do small mammals influence patterns of plant species composition and diversity, vegetation structure, and spatial patterns of vegetation canopy cover and biomass in Chihuahuan Desert shrublands and grasslands? Are small mammals keystone species that determine plant species composition and physiognomy of Chihuahuan Desert communities? Do small mammals have a significant role in maintaining the existence of shrub islands and spatial heterogeneity of creosotebush shrub communities? 2) Do small mammals affect the taxonomic composition and spatial pattern of vegetation similarly or differently in grassland communities as compared to shrub communities? How do patterns compare between grassland and shrubland sites, and how do these relatively small scale patterns relate to overall landscape vegetation patterns? 3) Do small mammals interact with short-term (annual) and long-term (decades) climate change to affect temporal changes in vegetation spatial patterns and species composition? 4) Do small mammals interact with other herbivore and granivore consumers enough to affect the species composition and abundances of other consumers such as ants and grasshoppers?
DOI: 10.6073/pasta/7cb8f946f89e3b92d76431ab7cbd7c60
title: 1830 Map of Land Cover and Cultural Features in Massachusetts

description: Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region. Acknowledgements Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.
DOI: 10.15142/t3hk98
title: Emissions of Organic Compounds from Produced Water Ponds

description: We measured fluxes of methane, a suite of non-methane hydrocarbons (C2-C11), light alcohols, and carbon dioxide from oil and gas produced water storage and disposal ponds in Utah (Uinta Basin) and Wyoming (Upper Green River Basin) United States during 2013-2016. In this paper, we discuss the characteristics of produced water composition and air-water fluxes, with a focus on flux chamber measurements. In companion papers, we will (1) report on inverse modeling methods used to estimate emissions from produced water ponds, including comparisons with flux chamber measurements, and (2) discuss the development of mass transfer coefficients to estimate emissions and place emissions from produced water ponds in the context of all regional oil and gas-related emissions.

Alcohols (made up mostly of methanol) were the most abundant organic compound group in produced water (91% of total volatile organic concentration, with upper and lower 95% confidence levels of 89 and 93%) but accounted for only 34% (28 to 41%) of total organic compound fluxes from produced water ponds. Non-methane hydrocarbons, which are much less water-soluble than methanol and less abundant in produced water, accounted for the majority of emitted organics. C6-C9 alkanes and aromatics dominated hydrocarbon fluxes, perhaps because lighter hydrocarbons had already volatilized from produced water prior to its arrival in storage or disposal ponds, while heavier hydrocarbons are less water soluble and less volatile. Fluxes of formaldehyde and other carbonyls were low (1% (1 to 2%) of total organic compound flux). The speciation and magnitude of fluxes varied strongly across the facilities measured and with the amount of time water had been exposed to the atmosphere. The presence or absence of ice also impacted fluxes.
DOI: 10.5281/zenodo.4134978
title: Human locomotion dataset

description: The zip file contains 128 npy files. Each npy file is a python numpy array file that contains one dictionary with the following keys: ['info', 'emg_r', 'kinematic_r', 'kinematic_l', 'emg_l']. <strong>info</strong>: Is a pandas dataframe with the following columns. file_name ⟶ refers to subject ID fs_emg (Hz) ⟶ refers to sample frequency of EMG data fs_kin (Hz) ⟶ refers to sample frequency of kinematic data mass (kg) ⟶ subject mass in kg trailing_leg ⟶ leg used as trailing leg during unilateral skipping. right (<em>r</em>) or left (<em>l</em>) vel (km/h) ⟶ speed on km/h <strong>emg_r</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig 14 EMG signals of right and left legs corresponding to a one stride segmented using the heel strike of the right leg. <strong>emg_l</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig 14 EMG signals of right and left legs corresponding to a one stride segmented using the heel strike of the left leg. <strong>kinematic_r</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig <em>x</em>, <em>y </em>and <em>z</em> coordinates of 18 reflective markers used in a MOCAP system during one stride identified using the heel strike of the right leg. <strong>kinematic_l</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig <em>x</em>, <em>y </em>and <em>z</em> coordinates of 18 reflective markers used in a MOCAP system during one stride identified using the heel strike of the left leg. <pre><code class="language-python">#example of use data = np.load('IT_R_110.npy',allow_pickle=True,encoding='latin1').item() #load a file emg5r = data['emg_r'][5] #Load all emg data of the 5th stride defined from right leg heel strike kinematic5l = data['kinematic_l'][5] #Load all kinematic data of the 5th stride defined from right leg heel strike</code></pre>
description: gpequera@cup.edu.uy
DOI: 10.5281/zenodo.4134977
title: Human locomotion dataset

description: The zip file contains 128 npy files. Each npy file is a python numpy array file that contains one dictionary with the following keys: ['info', 'emg_r', 'kinematic_r', 'kinematic_l', 'emg_l']. <strong>info</strong>: Is a pandas dataframe with the following columns. file_name ⟶ refers to subject ID fs_emg (Hz) ⟶ refers to sample frequency of EMG data fs_kin (Hz) ⟶ refers to sample frequency of kinematic data mass (kg) ⟶ subject mass in kg trailing_leg ⟶ leg used as trailing leg during unilateral skipping. right (<em>r</em>) or left (<em>l</em>) vel (km/h) ⟶ speed on km/h <strong>emg_r</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig 14 EMG signals of right and left legs corresponding to a one stride segmented using the heel strike of the right leg. <strong>emg_l</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig 14 EMG signals of right and left legs corresponding to a one stride segmented using the heel strike of the left leg. <strong>kinematic_r</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig <em>x</em>, <em>y </em>and <em>z</em> coordinates of 18 reflective markers used in a MOCAP system during one stride identified using the heel strike of the right leg. <strong>kinematic_l</strong>: List of <em>n</em> elements. <em>n </em>is equivalent to the number of strides registered. Each element of the list present a DataFrame containig <em>x</em>, <em>y </em>and <em>z</em> coordinates of 18 reflective markers used in a MOCAP system during one stride identified using the heel strike of the left leg. <pre><code class="language-python">#example of use data = np.load('IT_R_110.npy',allow_pickle=True,encoding='latin1').item() #load a file emg5r = data['emg_r'][5] #Load all emg data of the 5th stride defined from right leg heel strike kinematic5l = data['kinematic_l'][5] #Load all kinematic data of the 5th stride defined from right leg heel strike</code></pre>
description: gpequera@cup.edu.uy
DOI: 10.5281/zenodo.1467544
title: Metabolomics of pediatric fatty liver disease

description: Fecal and plasma metabolite profiles of non-alcoholic fatty liver disease (NAFLD) in a pediatric cohort
DOI: 10.5281/zenodo.1467543
title: Metabolomics of pediatric fatty liver disease

description: Fecal and plasma metabolite profiles of non-alcoholic fatty liver disease (NAFLD) in a pediatric cohort
DOI: 10.15142/t3r33b
title: Data from Kruger Park Porometry Project

description: This data is part of a body of work exploring tree and grass water use in Kruger National Park.
DOI: 10.15142/t3fk9n
title: Data on Household Disaster Preparedness for U.S. States and Metropolitan Areas

description: This dataset contains model estimates of the proportion of the adult population who report having supplies at home to use in case of a disaster, at the state level and Core-Based Statistical Area (CBSA) level in the U.S.

“state_2015_table.csv” contains estimated proportion of adults (18+) who have set aside supplies at home in case of a disaster at the state level for 2015. “cbsa_2015_table.csv” contains estimated proportion of adults (18+) who have set aside supplies at home in case of a disaster at the Core-Based Statistical Area level for 2015.
DOI: 10.5281/zenodo.5102353
title: Role of information in consumers' preferences for eco-sustainable genetic improvements in plant breeding - DATASET

description: Data-set and variables description related to the paper titled “Role of information in consumers’ preferences for eco-sustainable genetic improvements in plant breeding“, by Massimiliano Borrello, Luigi Cembalo, Riccardo Vecchio. PLOS-ONE, 2021. DOI: 10.1371/journal.pone.0255130
DOI: 10.5281/zenodo.5102352
title: Role of information in consumers' preferences for eco-sustainable genetic improvements in plant breeding - DATASET

description: Data-set and variables description related to the paper titled “Role of information in consumers’ preferences for eco-sustainable genetic improvements in plant breeding“, by Massimiliano Borrello, Luigi Cembalo, Riccardo Vecchio. PLOS-ONE, 2021. DOI: 10.1371/journal.pone.0255130
DOI: 10.15142/t3vp81
title: Mesospheric Densities and Temperatures Derived from 11 Years of Data Acquired with the Rayleigh-Scatter Lidar at the Atmospheric Lidar Observatory at Utah State University

description: Frequent observations were carried out with the Rayleigh-scatter lidar at Utah State University’s Atmospheric Lidar Observatory (41.742572° N, 111.808273° W, and 1466 m) from August 1993 through December 2004. Of 964 nights observed, a total of 839 nights were judged good for deriving temperatures. These 839 were reduced to obtain all-night relative neutral densities and absolute temperatures. These results extend from 45 to ≤ 95 km, thereby covering the mesosphere. This netCDF file starts by giving the number of nights included in the file. For each night, the netCDF file then provides defining parameters and derived profiles, as defined below.
DOI: 10.6073/pasta/f065b4909b2093b590ffa09183ef75d0
title: Canopy LiDAR Measurements in Hemlock Removal Experiment at Harvard Forest 2005

description: As the ecological functioning of a forest stand is often related to the spatial organization of the canopy, we used a portable canopy LiDAR (PCL; Parker et al. 2004) to measure volumetric canopy structure in the simulated HWA management treatments. In September and October 2005, prior to leaf abscission, we set up 16 parallel transects spaced 2 meters apart in the 900 m2 (30 x 30 m) interior of each of the eight treatment plots. The orientation of the transects were either north-south or east-west to minimize the difficulty of traversing the stand. The distances to canopy surfaces more than1 m above the ground along the transects were recorded with the PCL. Assuming a constant horizontal sampling rate, the continual height measures were binned into 1 m intervals. From these measures, vertical canopy profiles, canopy openness, canopy rugosity, and other metrics related to the three-dimensional structure of the canopy can be derived. These canopy measures will be repeated minimally at 5 and 15 year intervals to develop an understanding of early structural dynamics and micrometeorological consequences associated with the simulated HWA treatments. (Parker, G.G., D.J. Harding, and M.L. Berger. 2004. A portable LIDAR system for rapid determination of forest canopy structure. Journal of Applied Ecology 41, 755-767).
DOI: 10.34740/kaggle/dsv/2481060
title: Rice Disease Dataset
DOI: 10.18112/openneuro.ds003753.v1.0.0
title: Probabilistic Learning with Affective Feedback: Exp #2
DOI: 10.6073/pasta/c8cc0134c45c93b2afa7cd07a6f0a142
title: Coarse Woody Debris in Hemlock Removal Experiment at Harvard Forest since 2005

description: The woody detritus survey is designed to measure coarse woody detritus that includes snags, logs, and stumps, and to estimate fine woody detritus which includes smaller pieces of downed wood. To capture both standing and downed wood, we based our survey around two main types of methods, the line intercept method and the fixed radius plot method. Surveys have been completed for 2005, 2007, 2009, 2011, 2013, 2015 and 2017.
DOI: 10.15142/t38s7d
title: Reproductive success of mountain pine beetle infesting cut bolts of Great Basin bristlecone pine, limber pine, and lodgepole pine

description: The preference-performance hypothesis states that ovipositing phytophagous insects will select host plants that are well-suited for their offspring and avoid host plants that do not support offspring performance (survival, development and fitness). The mountain pine beetle (Dendroctonus ponderosae), a native insect herbivore in western North America, can successfully attack and reproduce in most species of Pinus throughout its native range. However, mountain pine beetles avoid attacking Great Basin bristlecone pine (Pinus longaeva), despite recent climate-driven increases in mountain pine beetle populations at the high elevations where Great Basin bristlecone pine grows. Low preference for a potential host plant species may not persist if the plant supports favorable insect offspring performance, and Great Basin bristlecone pine suitability for mountain pine beetle offspring performance is unclear. We infested cut bolts of Great Basin bristlecone pine and two susceptible host tree species, limber (P. flexilis) and lodgepole (P. contorta) pines with adult mountain pine beetles and compared offspring performance. To investigate the potential for host adaptation in offspring performance, we tested mountain pine beetles from populations within and outside of Great Basin bristlecone pine range. Although mountain pine beetles laid viable eggs in all three tree species, extremely few offspring emerged from Great Basin bristlecone pine, regardless of the beetle population. Our observed low offspring performance in Great Basin bristlecone pine corresponds with previously documented low mountain pine beetle attack preference. A low preference-low performance relationship suggests that Great Basin bristlecone pine resistance to mountain pine beetle is likely to be retained through climate-driven high-elevation mountain pine beetle outbreaks.
DOI: 10.6073/pasta/5f6ead185a362210a72792266044db5e
title: Timber Harvesting Field Study in Western Massachusetts 2004-2005

description: Forest harvesting is one of the most significant disturbances affecting forest plant composition and structure in Western Massachusetts, yet few studies have quantified the effects of harvesting in this region. Massachusetts requires all commercial harvest operations above 87 m3 to file a Forest Cutting Plan (FCP) with the state. We have digitized these FCPs (see McDonald et al. 2006), covering all harvests from 1984 to 2003. Our study area is Massachusetts west of the coastal basin, as defined by Motts and O’Brian (1981). We selected 126 sites for sampling. Two-thirds of the sites (89) were harvested once between 1984 and 2003, and these were selected randomly from the larger FCP database. The remaining one-third of the sites (37) were control sites selected randomly from all unharvested forest in the study area. The boundaries for our field surveys were those filed with the FCP for harvested sites, and were circular for control sites, proportional in size to the mean FCP in the physiographic region (Motts and O'Brien 1981): Connecticut River Valley (10.7 ha), Central Upland (11.3 ha), Berkshire Valley and Taconic Mountains (12.6 ha), and the Western Upland (15.9 ha). Note that our sampled sites were well-dispersed over the study area, and encompassed the variety of past agricultural land-use.
DOI: 10.6084/m9.figshare.15082929
title: Lipinski Dataset with only Top 10 Intervals for Length of Molecules Included (max_len_molec=48, vocab=30)

description: Lipinski filtered, rdkit no charge/no radical, semantically filtered (no - or + in SELFIES), top n intervals molecules data. The intervals represent bins for SELFIES molecules length. Using only the top intervals reduces the amount of padding needed. Sample size 4673.<br>
DOI: 10.6084/m9.figshare.15082929.v1
title: Lipinski Dataset with only Top 10 Intervals for Length of Molecules Included (max_len_molec=48, vocab=30)

description: Lipinski filtered, rdkit no charge/no radical, semantically filtered (no - or + in SELFIES), top n intervals molecules data. The intervals represent bins for SELFIES molecules length. Using only the top intervals reduces the amount of padding needed. Sample size 4673.<br>
DOI: 10.6073/pasta/edc14370086ba1bca5969aed532a2b4b
title: Detection Histories for Hemlock Woolly Adelgid Infestations at Cadwell Forest in Pelham MA 2008

description: Monitoring programs increasingly are used to document the spread of invasive species in the hope of detecting and eradicating low-density infestations before they become established. However, interobserver variation in the detection and correct identification of low-density populations of invasive species remains largely unexplored. In this study, we compare the abilities of volunteer and experienced individuals to detect low-density populations of an actively spreading invasive species and we explore how interobserver variation can bias estimates of the proportion of sites infested derived from occupancy models that allow for both false negative and false positive (misclassification) errors. We found that experienced individuals detected small infestations at sites where volunteers failed to find infestations. However, occupancy models erroneously suggested that experienced observers had a higher probability of falsely detecting the species as present than did volunteers. This unexpected finding is an artifact of the modeling framework and results from a failure of volunteers to detect low-density infestations rather than from false positive errors by experienced observers. Our findings reveal a potential issue with site occupancy models that can arise when volunteer and experienced observers are used together in surveys.