cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t62k6dxmzv.1
title: Development and Initial Validation of the Two-dimension Time Poverty Scale

description: Time poverty, characterized by the chronic feeling of having too much to do and not enough time to do it, is a prevalent issue in contemporary society. Given that people may hold different motivations for what they do, time poverty can result from either having too many “have-to” do things (controlled motivation) or too many “want-to” do things (autonomous motivation). To facilitate a more nuanced understanding of how different kinds of time poverty impact people’s lives, the current research developed a two-dimensional time poverty scale (TP-2) to capture the two kinds of time poverty with two studies. In Study 1 (N = 470), an initial item pool comprising 22 items was developed. Exploratory factor analyses obtained 14 items after removing items with poor loading, and confirmatory factor analyses confirmed a bifactor solution with two auxiliary factors. The results suggested that the TP-2 has good reliability and construct validity. Study 2 (N = 250) replicated the bifactor solution and established the measurement invariance, as well as concurrent, convergent and discriminant validity of TP-2. Importantly, this study found that a higher level of time poverty due to too many “have-to” do things (TP-H) is significantly associated with negative affect and life satisfaction, while the effects of time poverty due to too many “want-to” do things (TP-W) on these outcome variables are nonsignificant. The TP-2 can assist researchers in distinguishing different forms of time poverty and enable individuals to understand their dominant type of time poverty and how to better cope with it.
DOI: 10.34770/nezp-hz43
title: Role of fast ions in spontaneous neoclassical tearing mode instabilities in NSTX

description: Data for "The Role of fast ions in spontaneous neoclassical tearing mode instabilities in NSTX"
DOI: 10.6084/m9.figshare.19383870
title: Municipal solid waste generation and its compositional assessment for efficient and sustainable infrastructure planning in an intermediate city of Pakistan

description: It is imperative to design and operate sustainable solid waste management (SWM) systems in cities based on the results of waste amount and characterization study (WACS). In this work, WACS was conducted and results were used to design an SWM system for an intermediate city of Pakistan. The study revealed that about 110 tons of solid waste per day is generated with a per capita rate of 0.337 kg/day. Around 51.2% of mixed municipal solid waste (MSW) is organic in nature and its non-scientific disposal is resulting in higher greenhouse gas (GHG) emissions. It was also found that more than 80% of valuables are taken away by the informal sector during the transfer of MSW from the generation source to the dumping site. Ultimate analyses showed that the moisture content (MC) and carbon to nitrogen (C:N) ratio were 64.23% and 51.14%, respectively. Proximate analysis revealed that moisture and calorific values were 57 % and 3505 BTU/lb., respectively. Based on these results, a material sorting facility (MSF) was proposed, with an estimated investment cost of US $3.64 million. However, the efficiency of the existing collection system is limited to 32 % only. In order to improve the collection efficiency (&gt;90 %), an additional investment of US $1.638 million was estimated with an operations and maintenance (O&M) cost of US $19.25 per ton. Existing non-scientific MSW disposal practices contribute 32,079.61 CO<sub>2</sub>e tons/year of GHG emissions. The proposed MSF followed by composting is estimated to reduce GHG emissions by 38% to 19,722.38 CO<sub>2</sub>e tons/year.
DOI: 10.6084/m9.figshare.19383870.v2
title: Municipal solid waste generation and its compositional assessment for efficient and sustainable infrastructure planning in an intermediate city of Pakistan

description: It is imperative to design and operate sustainable solid waste management (SWM) systems in cities based on the results of waste amount and characterization study (WACS). In this work, WACS was conducted and results were used to design an SWM system for an intermediate city of Pakistan. The study revealed that about 110 tons of solid waste per day is generated with a per capita rate of 0.337 kg/day. Around 51.2% of mixed municipal solid waste (MSW) is organic in nature and its non-scientific disposal is resulting in higher greenhouse gas (GHG) emissions. It was also found that more than 80% of valuables are taken away by the informal sector during the transfer of MSW from the generation source to the dumping site. Ultimate analyses showed that the moisture content (MC) and carbon to nitrogen (C:N) ratio were 64.23% and 51.14%, respectively. Proximate analysis revealed that moisture and calorific values were 57 % and 3505 BTU/lb., respectively. Based on these results, a material sorting facility (MSF) was proposed, with an estimated investment cost of US $3.64 million. However, the efficiency of the existing collection system is limited to 32 % only. In order to improve the collection efficiency (&gt;90 %), an additional investment of US $1.638 million was estimated with an operations and maintenance (O&M) cost of US $19.25 per ton. Existing non-scientific MSW disposal practices contribute 32,079.61 CO<sub>2</sub>e tons/year of GHG emissions. The proposed MSF followed by composting is estimated to reduce GHG emissions by 38% to 19,722.38 CO<sub>2</sub>e tons/year.
DOI: 10.5281/zenodo.10358062
title: Characterization and effect of biomimetic surfaces based on the topography of a self-cleaning leaf on bacterial binding

description: Four self-cleaning leaves (Tenderheart, Cauliflower, White cabbage, and Leek) and the corresponding biomimetic surfaces were analyzed for their properties (water contact angle, surface hydrophobicity and roughness). The antifouling behavior was assessed by bacterial attachment, adhesion, and retention assays.
DOI: 10.5281/zenodo.10358063
title: Characterization and effect of biomimetic surfaces based on the topography of a self-cleaning leaf on bacterial binding

description: Four self-cleaning leaves (Tenderheart, Cauliflower, White cabbage, and Leek) and the corresponding biomimetic surfaces were analyzed for their properties (water contact angle, surface hydrophobicity and roughness). The antifouling behavior was assessed by bacterial attachment, adhesion, and retention assays.
DOI: 10.6084/m9.figshare.24788256
title: Codes for "Emergent climate pattern originating from deep ocean warming"

description: Codes for "Emergent climate pattern originating from deep ocean warming"
DOI: 10.6084/m9.figshare.24788256.v1
title: Codes for "Emergent climate pattern originating from deep ocean warming"

description: Codes for "Emergent climate pattern originating from deep ocean warming"
DOI: 10.34770/c6dc-3d45
title: Data from "Molecular Simulation of Lithium Carbonate Reactive Vapor-Liquid Equilibria using a Deep Potential Model"

description: Data and input files related to the paper "Molecular Simulation of
 Lithium Carbonate Reactive Vapor-Liquid Equilibria using a Deep Potential
 Model". This includes example LAMMPS and CP2K files for NPT and NVT
 simulations, as well as the generated DP model used to perform all DPMD
 simulations.
DOI: 10.6073/pasta/b26a7d03402dac0daff0e8f3232bac1d
title: Using Phenology to Forecast Species Distributions across the Eastern United States in the 2070s

description: Studies that use species distribution models (SDMs) to document the relationship between species’ geographic range and environmental conditions rarely consider functional traits, such as phenology, that strongly affect species’ demography and fitness. Using more than 120,000 herbarium specimens representing 360 plant species across the eastern United States, we created a novel “phenology-informed” SDM that integrates dynamic phenological responses to changing climates. Compared to standard SDMs based only on abiotic variables, our phenology-informed SDMs forecast significantly lower species habitat loss, and less species turnover within communities under climate change. These results suggest that phenotypic plasticity and/or local adaptation in phenology may help many species adjust their ecological niches and persist in their habitats during periods of rapid environmental change. By modeling historical data that link phenology, climate and species distributions, our findings reveal how species’ reproductive phenology mediates their geographic distributions along environmental gradients and affect regional biodiversity patterns under future climate changes. More importantly, our newly developed model also circumvents the need for mechanistic models that explicitly link traits to occurrences for each species, and could thus facilitate the deployment of trait-based SDMs across unprecedented spatial and taxonomic scales.
DOI: 10.26207/1q2w-3794
title: Chemical Ecology Lab (CEL) basement floor hallway
DOI: 10.6073/pasta/652360975027243e84db125b51bb8645
title: Evaluation of Mask R-CNN Model for Counting Reproductive Structures of Six Plant Species 1895-2018

description: Phenology––the timing of life-history events––is a key trait for understanding responses of organisms to climate. The digitization and online mobilization of herbarium specimens is rapidly advancing our understanding of plant phenological response to climate and climatic change. The current common practice of manually harvesting data from individual specimens greatly restricts our ability to scale data collection to entire collections. Recent investigations have demonstrated that machine-learning models can facilitate data collection from herbarium specimens. However, present attempts have focused largely on simplistic binary coding of reproductive phenology (e.g., flowering or not). Here, we use crowd-sourced phenological data of numbers of buds, flowers, and fruits of more than 3000 specimens of six common wildflower species of the eastern United States (Anemone canadensis, A. hepatica, A. quinquefolia, Trillium erectum, T. grandiflorum, and T. undulatum} to train a model using Mask R-CNN to segment and count phenological features. A single global model was able to automate the binary coding of reproductive stage with greater than 90% accuracy. Segmenting and counting features were also successful, but accuracy varied with phenological stage and taxon. Counting buds was significantly more accurate than flowers or fruits. Moreover, botanical experts provided more reliable data than either crowd-sourcers or our Mask R-CNN model, highlighting the importance of high-quality human training data. Finally, we also demonstrated the transferability of our model to automated phenophase detection and counting of the three Trillium species, which have large and conspicuously-shaped reproductive organs. These results highlight the promise of our two-phase crowd-sourcing and machine-learning pipeline to segment and count reproductive features of herbarium specimens, providing high-quality data with which to study responses of plants to ongoing climatic change.
DOI: 10.12770/88d0b0e7-24b5-4826-b50d-30e60120cdd3
title: DCSMM2024_D6C3 Coefficient de dépassement du seuil de risque fort d'effets néfastes pour les habitats benthiques

description: Cette couche a été créée dans le cadre de l’évaluation 2024 du BEE DCSMM pour le Descripteur 6. Elle représente pour la façade Manche-Atlantique et la SRM MO, le nombre de dépassements du seuil de risque fort d'effets néfastes pour les habitats benthiques de la SRM considérée.
DOI: 10.12770/03938c3b-c5e0-4578-8d71-152925fd1f98
title: DCSMM2024_D6C2 Localisation des perturbations physiques potentielles induites par les sept activités considérées dans les quatre Sous-Régions Marines

description: Cette couche a été créée dans le cadre de l’évaluation 2024 du BEE DCSMM pour le Descripteur 6. Elle est la fusion des différentes couches des indicateurs relatifs au critère D6C2 pour la SRM considérée. Les activités considérées comme sources de perturbations physiques sont: l'extraction de granulats marins, les dragages, le rechargement de plage, les immersions de matériaux, les mouillages, l'aquaculture et la pêche au fond.
DOI: 10.6073/pasta/0fc22749fa37e1a7be7d87f9d6e4c843
title: Impacts of Deer and Moose on Soil Carbon, Soil Respiration, and Root Biomass at Harvard Forest since 2017

description: Over the past decade, several deer and moose exclosures have been built at Harvard Forest to study the effect of ungulate browsing on tree regeneration, species diversity, and composition. We built on the existing infrastructure to study the impacts of deer and moose browsing on soil carbon stocks (soil C, root biomass) in regenerating forests.
DOI: 10.12770/70ae3ba0-4db9-44f6-958a-dca6da522f3a
title: DCSMM2024_D6C3 Niveaux de fiabilité du critère D6C3 et des différents jeux de données utilisés

description: Cette couche a été créée dans le cadre de l’évaluation 2024 du BEE DCSMM pour le Descripteur 6. Elle fournit le niveau de fiabilité des différents jeux de données utilisés pour l'évaluation du critère D6C3 (fiabilité des données EUSeaMap, fiabilité des données d'abraion superficielle et fiabilité de la sensibilité des habitats à l'abrasion superficielle), ainsi que la fiabilité combinée relativement au critère D6C3, pour la façade Manche-Atlantique et la SRM MO.
DOI: 10.12770/0ca8699f-d34b-415d-9b4c-1fef05f50d38
title: DCSMM2024_D6C3 Niveaux de risque d'effets néfastes

description: Cette couche a été créée dans le cadre de l’évaluation 2024 du BEE DCSMM pour le Descripteur 6. Elle représente pour la façade Manche-Atlantique et la SRM MO les niveaux de risque d'effets néfastes associés aux perturbations physiques engendrées (abrasion) par la pêche au fond.
DOI: 10.12770/b71b3a23-3997-4422-ab79-55f3a4f79dcf
title: DCSMM2024_D6C3 Cartographie du niveau de risque d’effets néfastes en lien avec l’abrasion pour chaque grand type d’habitat benthique

description: Cette couche a été créée dans le cadre de l’évaluation 2024 du BEE DCSMM pour le Descripteur 6. Elle représente l'évaluation du critère D6C3, par grand type d'habitat benthique (EuSeaMap 2021) pour la façade Manche-Atlantique et la SRM MO, le niveau de risque d'effets néfastes dûs aux perturbations physiques engendrées (abrasion) par la pêche au fond.
DOI: 10.6073/pasta/28a9d8a12bb6274d471658c4612e834a
title: Sap Flow in Red Maple and Red Oak in the Harvard Forest Snow Removal Study 2011

description: The climate is changing in mid and high latitude environments with the depth and duration of snowpack shrinking for many temperate forest ecosystems. A reduced snowpack and increased depth and duration of soil frost can injure fine roots, which are essential for plant water uptake. Water uptake is a crucial component of ecosystem functioning because this process strongly impacts other biological processes, such as primary productivity and nutrient uptake. We evaluated the effects of changing winter climate, including snow and soil frost dynamics, on rates of water uptake (i.e. sap flow) in a snow manipulation study at Harvard Forest. We had three reference and tree plots from which we removed snow and induced soil freezing.
DOI: 10.26208/cjtc-ks26
title: Eddy Covariance High-Frequency Data for Turfgrass and Pasture in Indianapolis, Indiana and Montgomery County, Maryland (US-INa, US-INb, US-BWa, US-BWb, US-BWc)

description: As part of the Indianapolis Flux (INFLUX) project three flux towers (US-INa, US-INb, US-BWa) were deployed to monitor turfgrass lawns and two flux towers (US-BWb, US-BWc) to monitor pasture. Each tower was of short stature, standing roughly three meters above the ground. Lawns are an abundant vegetative community in urban areas and are frequently managed through irrigation, fertilization, or mowing. US-INa measured fluxes over a cemetery lawn with lower intensity management (i.e., infrequent mowing, no fertilization, and no irrigation). US-INb measured fluxes over a golf course (i.e., frequent mowing, fertilization, and irrigation). US-BWa measured fluxes over a lawn on the National Institute for Standards and Technology campus. The lawn is considered lower intensity management (i.e., infrequent mowing, no fertilization, and no irrigation). The US-BWb and US-BWc towers measured fluxes at Montgomery County’s compost facility with landcover type of pasture/grasslands. US-BWb was located in a pasture grass field (infrequently mowed) south of the compost facility.  US-BWc was located directly beside the southern edge of the compost facility. 
The time span for these data sets are US-INa: August 2017 to April 2019, US-INb: November 2018 to April 2019, US-BWa: January 2021 to November 2023, US-BWb: June 2022 to November 2023, and US-BWc: June 2023 to November 2023.  The data files will be updated approximately yearly for those sites still in operation. 

These data are .ghg files containing thirty-minute periods of the 10Hz measurements from the sonic anemometer and infrared gas analyzer. For more information on the site, visit https://sites.psu.edu/influx/site-information/.
DOI: 10.12770/72ca3dc4-38a3-4398-a791-66e918d2d6a7
title: DCSMM2024_D5C1 Concentration en nutriments à la côte

description: Résultats de simulations DCE pour l'élément de qualité concentrations en nutriments à la côte.
La concentration en nutriments (µmol.l-1), composés d'éléments azotés et phosphorés, dans la colonne d'eau constitue l'un des critères de définition de l'eutrophisation dans le cadre de la DCSMM (D5C1). Les unités géographiques d'évaluation dans lesquelles ce critère est évalué sont les masses d'eau DCE entre 0 et 1 Mille marin de la ligne de base, des mailles de 1/20° entre 1 Mm et 12 Mm et des mailles de 1/5° entre 12 Mm et la limite de la ZEE. L'indice retenu pour évaluer l'atteinte du bon état écologique pour l'indicateur D5C1_éléments azoté en zone côtière est la concentration en azote inorganique dissous (NID = NH4 + NO2 + NO3) normalisée à 33 de salinité, calculé par unité géographique d'évaluation. En l'absence de seuil pour le phosphate, il n'y a pas d'indcateur D5C1_éléments phosphatés en zone côtière. En zones intermédiaire et large l'indice retenu est la médiane de la concentration en nitrate (NO3) et phosphates (PO4), calculé par unité géographique d'évaluation. Les données sont présentées sous forme de fichiers géoréférencés de type shp.
DOI: 10.6073/pasta/4de496ce2e8e3d0ce1242edfd1a0b4bd
title: Crown Geometry Measurements of 14 Species in the CTFS-ForestGEO Plot at Harvard Forest 2013

description: Tree crown geometry and height, especially when coupled with remotely sensed data, can aid in the characterization of tree and forest structure. In this study, we collected crown geometry data (tree height, crown radius, and crown depth) in order to develop mixed-effects model allometric equations. We leveraged the already existing Center for Tropical Forest Science (CTFS) and Smithsonian Institute’s Forest Global Earth Observatory (ForestGEO) MegaPlot on Prospect Hill at Harvard Forest, Massachusetts to apply allometric equations. In total, we sampled 374 trees across 14 species. Developed allometry was applied to 2014 CTFS-ForestGEO census data to develop allometric canopy height models, which were compared to a lidar canopy height model acquired by NASA’s G-LiHT.
DOI: 10.5281/zenodo.10357787
title: Water Quality Index from Tiete River
title: Data of Time Series from 1994 to 2019

description: Data from WQI (response variable) and 9 physical, chemical, and biological parameters (independent variables), namely: hydrogen potential (pH), dissolved oxygen (do), biochemical oxygen demand (bod), thermotolerant coliforms (tc), total nitrogen (tn), total phosphorus (tp), total solids (ts), turbidity (turb), temperature (temp) were obtained from reports issued by the Environmental Company of the State of São Paulo (CETESB).  Annual report available at the link (https://cetesb.sp.gov.br/aguas-interiores/publicacoes-e-relatorios/). On this website the documents are available only in Portuguese and from 1978. The WQI used presents a range between 0 and 100, divided into ranges of values and by color: very bad (0 and ≤ 19, purple); bad (> 19 and ≤ 36, red); medum (> 36 and ≤ 51, yellow); good (> 51 and ≤ 79, green) and excellent (> 79, blue). Its object of study data obtained from 78 measurement points located on the Tiete River and its tributaries, from 1994 to 2019.  
The database is part of the doctoral thesis, which addresses the use of machine learning techniques in classifying and predicting water quality indicators.
CRediT authorship contribution statement:  Mario Elias Carvalho do Nascimento: Conceptualization, Software, Formal analysis, Investigation, Data Curation.  Ralpho Rinaldo dos Reis: Supervision, Project administration. 
For any inquiries, please contact marioelias_carvalho@yahoo.com. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically.
Data description:

ugrhi: Water Resources Management Units
macro_land_use: Classified according to macro land use agriculture, conservation, industrialization, and industrial
measurement_points: Measurement points located on the Tiete River and its tributaries
pH: hydrogen potential [ ]
do: dissolved oxygen [mg/L]
bod: biochemical oxygen demand [mg/L]
tc: thermotolerant coliforms [NMP/100ml]
tn: total nitrogen [mg/L]
tp: total phosphorus [mg/L]
ts: total solids [mg/L]
turb: turbidity [UNT]
temp: temperature [ºC]
wqi: Range of water quality index [ ]
classification: Water quality classes [very_bad, bad, medium, good, excelent]
DOI: 10.5281/zenodo.10357786
title: Water Quality Index from Tiete River
title: Data of Time Series from 1994 to 2019

description: Data from WQI (response variable) and 9 physical, chemical, and biological parameters (independent variables), namely: hydrogen potential (pH), dissolved oxygen (do), biochemical oxygen demand (bod), thermotolerant coliforms (tc), total nitrogen (tn), total phosphorus (tp), total solids (ts), turbidity (turb), temperature (temp) were obtained from reports issued by the Environmental Company of the State of São Paulo (CETESB).  Annual report available at the link (https://cetesb.sp.gov.br/aguas-interiores/publicacoes-e-relatorios/). On this website the documents are available only in Portuguese and from 1978. The WQI used presents a range between 0 and 100, divided into ranges of values and by color: very bad (0 and ≤ 19, purple); bad (> 19 and ≤ 36, red); medum (> 36 and ≤ 51, yellow); good (> 51 and ≤ 79, green) and excellent (> 79, blue). Its object of study data obtained from 78 measurement points located on the Tiete River and its tributaries, from 1994 to 2019.  
The database is part of the doctoral thesis, which addresses the use of machine learning techniques in classifying and predicting water quality indicators.
CRediT authorship contribution statement:  Mario Elias Carvalho do Nascimento: Conceptualization, Software, Formal analysis, Investigation, Data Curation.  Ralpho Rinaldo dos Reis: Supervision, Project administration. 
For any inquiries, please contact marioelias_carvalho@yahoo.com. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically.
Data description:

ugrhi: Water Resources Management Units
macro_land_use: Classified according to macro land use agriculture, conservation, industrialization, and industrial
measurement_points: Measurement points located on the Tiete River and its tributaries
pH: hydrogen potential [ ]
do: dissolved oxygen [mg/L]
bod: biochemical oxygen demand [mg/L]
tc: thermotolerant coliforms [NMP/100ml]
tn: total nitrogen [mg/L]
tp: total phosphorus [mg/L]
ts: total solids [mg/L]
turb: turbidity [UNT]
temp: temperature [ºC]
wqi: Range of water quality index [ ]
classification: Water quality classes [very_bad, bad, medium, good, excelent]