cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/533b5dda2244faf3d27eea6d02d781c5
title: Construction Costs of Carnivorous and Non-Carnivorous Plants at Harvard Forest 2006-2008

description: Leaf traits, including photosynthetic rates, leaf mass area, and leaf nutrient content covary in a coordinated way for a wide range of plant taxa. This covariation results from trade-offs between the costs of constructing plant tissues and the benefits accrued from photosynthesis. Carnivorous plants have been found to be outliers in the "universal spectrum of leaf traits" because they have very low photosynthetic rates for the amount of nitrogen in their leaves and traps. But no studies have measured simultaneously the actual construction costs of carnivorous traps and rates of photosynthesis to determine the amortization required to recover the investment (the "payback time") and thereby calculate the "marginal gain" of "investing" in carnivorous structures. The objective of this study was to measure construction costs (CCmass, grams of glucose required to build 1g of ash-free dry mass of tissue) and photosynthesis (Amass, nmol CO2 g-1 s-1) for traps, leaves, roots, and rhizomes of 15 carnivorous plant species with differing mechanisms of prey capture and consumption (pitfall traps, snap-traps, sticky pads) grown under greenhouse conditions. Payback time (h) was calculated as the quotient of CCmass and Amass after conversion to nmol of carbon per gram of ash-free dry mass. There were highly significant differences amongst species for CCmass of traps but there were no significant differences for CCmass amongst traps, roots and rhizomes. Mean (+- SD) CCmass for traps (1.14 +- 0.24 g glucose g-1) was significantly lower than the mean CCmass of leaves of 267 non-carnivorous plant species (1.47 +- 0.17 g glucose g-1). However, all 15 carnivorous plants examined in this study had low Amass and thus, the marginal gain of carnivory is small with a long payback time (524-1641 h). Our results of low CCmass for carnivorous traps is contrary to the oft-stated expectation of a high cost to construct elaborate carnivorous traps. Payback time integrates traits used to assess leaf scaling relationships with construction costs, and locates carnivorous plants at the "slow and tough" end of the universal spectrum of leaf traits.
DOI: 10.48420/22921460
title: Research data for manuscript "Assessing the effect of zoo closure on the soundscape using multiple measures" (Lewis et al 2023)

description: This zip file contains the data from Lewis et al 2023, the code used to analyse that data in the publication, and a readme file that explains the data and the analysis code. <br> (The manuscript associated with this data is pending publication. This record will be updated as appropriate when the manuscript is published.)
DOI: 10.48420/22921460.v2
title: Research data for manuscript "Assessing the effect of zoo closure on the soundscape using multiple measures" (Lewis et al 2023)

description: This zip file contains the data from Lewis et al 2023, the code used to analyse that data in the publication, and a readme file that explains the data and the analysis code. <br> (The manuscript associated with this data is pending publication. This record will be updated as appropriate when the manuscript is published.)
DOI: 10.48420/22921460.v1
title: Research data for manuscript "Assessing the effect of zoo closure on the soundscape using multiple measures" (Lewis et al 2023)

description: This zip file contains the data from Lewis et al 2023, the code used to analyse that data in the publication, and a readme file that explains the data and the analysis code. <br> (The manuscript associated with this data is pending publication. This record will be updated as appropriate when the manuscript is published.)
DOI: 10.5519/qd.ewcukfct
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2469 records)
DOI: 10.6084/m9.figshare.24747282
title: Supplementary files

description: Supplemental table and files
DOI: 10.6084/m9.figshare.24747282.v1
title: Supplementary files

description: Supplemental table and files
DOI: 10.6073/pasta/7e769e3710a9b9c6962b3c1a8d651eed
title: Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992

description: Daily emperature has been measured at the El Verde Field Station since 1975 (see methods). These data was divided into two data set: #16, having data from 1992 to current and #181 which has data from1975 till August 1992. Data-missing gaps where filled in by extrapolated data from other sources, making the subsequent manipulations less valuable for interpreting long term trends. Monthly averages have been calculated. Maximum values for maximum temperature were recorded from May to October with a range from 29 to 30 and peaks of 29.7 Centigrade in October. The months of October through December show the most dramatic increase, specially December (see chart). Highest average maximum temperatures during these years were recorded in 1998 and 1999 (See chart). Max monthly temperatures appear to be increasing from this years on. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/418b7be5664176b72d3b047260ed212d
title: Fern sporophyte growth observation at the Luquillo Experimental Forest (LEF)

description: Long-term (20-year) monitoring sites have been established in the Luquillo Experimental Forest. Individuals of approximately 20 species of ferns are being monitored on a regular basis to determine plant life history classes, leaf production rates, fertility characteristics and leaf damage levels. Effects of natural disturbance will be interpreted in light of these parameters. The study includes sites at El Verde, and Espiritu Santo and Bisley watersheds. A comparative study of ferns in the mangrove community at the Jobos Bay National Estuarine Research Reserve was started in January 1998 and completed in January 2001. Comparisons of similar species will also be made at temperate sites. Data file FERNGROWTH contains data, on a line-line basis, about individual leaves. Information in this file includes measurements and observations as well as leaf location and identification information. Leaves in this file was monitored three times a year from the time the plant was first included in the study until the plant died, disappeared, or was dropped from the study. The same information was collected on leaves used in defoliation experiments (FERNDEFO). Annual measurements of leaf counts and longest leaf measurements on selected species from 2001 through 2010 are included in FERNPH02. Other files in the data set includes a file of supporting information on characteristics the plants on which leaf observations were made (FERNSEQ), additional field observations about the leaves, plants and sites (FERNFLD) and details about monitoring dates (FERNDATES).
DOI: 10.21954/ou.rd.24747222
title: Augmented Reality Learning Analytics - Data from four pilot studies

description: Learning Analytics data collected in the EU H2020-funded ARETE project four comprehensive pilot studies, in total involving more than 2,900 students and teachers: learning of English literacy, Maths & Geography, Positive Behaviour, and authoring of AR learning content.The data set is described in depth in: Ana Domínguez, Guillermo Pacho, Lisa Bowers, Fridolin Wild, Sarah Alcock, Giuseppe Chiazzese, Mariella Farella, Marco Arrigo, David Ross, Rita Treacy, Darya Yegorina, Eleni Mangina, Stefano Masneri (2023): Dataset of user interactions across four large pilots on the use of augmented reality in learning experiences. Nature Scientific Data 10:823. https://doi.org/10.1038/s41597-023-02743-6
DOI: 10.21954/ou.rd.24747222.v1
title: Augmented Reality Learning Analytics - Data from four pilot studies

description: Learning Analytics data collected in the EU H2020-funded ARETE project four comprehensive pilot studies, in total involving more than 2,900 students and teachers: learning of English literacy, Maths & Geography, Positive Behaviour, and authoring of AR learning content.The data set is described in depth in: Ana Domínguez, Guillermo Pacho, Lisa Bowers, Fridolin Wild, Sarah Alcock, Giuseppe Chiazzese, Mariella Farella, Marco Arrigo, David Ross, Rita Treacy, Darya Yegorina, Eleni Mangina, Stefano Masneri (2023): Dataset of user interactions across four large pilots on the use of augmented reality in learning experiences. Nature Scientific Data 10:823. https://doi.org/10.1038/s41597-023-02743-6
DOI: 10.6073/pasta/364622a6632f857289f9abc6a99d3ae7
title: Cascade Project at North Temperate Lakes LTER Core Data Phytoplankton 1984 - 2015

description: Data on epilimnetic phytoplankton from 1984-2015, determined by light microscopy from pooled Van Dorn samples at 100 percent, 50 percent, and 25 percent of surface irradiance. St. Amand (1990) and Cottingham (1996) describe the counting protocols in detail. Samples after 1995 were counted by Phycotech Inc. (http://www.phycotech.com). Sampling Frequency: varies; Number of sites: 5
DOI: 10.5281/zenodo.10262952
title: The impact of DnaA titration on Escherichia coli DNA replication initiation elucidated through live-cell single-particle tracking
DOI: 10.5281/zenodo.10262953
title: The impact of DnaA titration on Escherichia coli DNA replication initiation elucidated through live-cell single-particle tracking
DOI: 10.5281/zenodo.10263107
title: Bi-fidelity Variational Auto-encoder for Uncertainty Quantification: Experimental Data

description: Quantifying the uncertainty of quantities of interest (QoIs) from physical systems is a primary objective in model validation. However, achieving this goal entails balancing the need for computational efficiency with the requirement for numerical accuracy. To address this trade-off, we propose a novel bi-fidelity formulation of variational auto-encoders (BF-VAE) designed to estimate the uncertainty associated with a QoI from low-fidelity (LF) and high-fidelity (HF) samples of the QoI. This model allows for the approximation of the statistics of the HF QoI by leveraging information derived from its LF counterpart. Specifically, we design a bi-fidelity auto-regressive model in the latent space that is integrated within the VAE's probabilistic encoder-decoder structure. An effective algorithm is proposed to maximize the variational lower bound of the HF log-likelihood in the presence of limited HF data, resulting in the synthesis of HF realizations with a reduced computational cost. Additionally, we introduce the concept of the bi-fidelity information bottleneck (BF-IB) to provide an information-theoretic interpretation of the proposed BF-VAE model. Our numerical results demonstrate that BF-VAE leads to considerably improved accuracy, as compared to a VAE trained using only HF data, when limited HF data is available.
DOI: 10.5281/zenodo.10263106
title: Bi-fidelity Variational Auto-encoder for Uncertainty Quantification: Experimental Data

description: Quantifying the uncertainty of quantities of interest (QoIs) from physical systems is a primary objective in model validation. However, achieving this goal entails balancing the need for computational efficiency with the requirement for numerical accuracy. To address this trade-off, we propose a novel bi-fidelity formulation of variational auto-encoders (BF-VAE) designed to estimate the uncertainty associated with a QoI from low-fidelity (LF) and high-fidelity (HF) samples of the QoI. This model allows for the approximation of the statistics of the HF QoI by leveraging information derived from its LF counterpart. Specifically, we design a bi-fidelity auto-regressive model in the latent space that is integrated within the VAE's probabilistic encoder-decoder structure. An effective algorithm is proposed to maximize the variational lower bound of the HF log-likelihood in the presence of limited HF data, resulting in the synthesis of HF realizations with a reduced computational cost. Additionally, we introduce the concept of the bi-fidelity information bottleneck (BF-IB) to provide an information-theoretic interpretation of the proposed BF-VAE model. Our numerical results demonstrate that BF-VAE leads to considerably improved accuracy, as compared to a VAE trained using only HF data, when limited HF data is available.
DOI: 10.5281/zenodo.10263197
title: Dataset containing all action and intervention indicators (KPI) in Valencia Demo Site for the MAtchUP project.
DOI: 10.5281/zenodo.10263198
title: Dataset containing all action and intervention indicators (KPI) in Valencia Demo Site for the MAtchUP project.
DOI: 10.6073/pasta/1c2e236fb08ad7257fbe0442ce4fb114
title: Net Carbon Exchange of an Old-Growth Hemlock Forest at Harvard Forest HEM Tower since 2000

description: This project estimates carbon exchange rates of multiple forest types at Harvard Forest (see HF072) and compares them to long-term ongoing carbon exchange measurements at the EMS, which is located in a mesic, 60-90 year old red oak and red maple dominated forest on abandoned farmland (HF004). Measurements in each forest type are used to investigate climatic influences on carbon exchange. This mesic hemlock-dominated forest with most trees 100-200 years old on undisturbed soils stored only about 3 Mg/ha of carbon in 2001, compared to over 4 Mg/ha in the 60-90 year old oak/maple stand. However, both sites stored more carbon in 2001 than was measured in the oak/maple stand in any previous year since 1991 (see HF004). The hemlock forest behaved very differently from the oak-maple stand in that the highest rates of carbon storage occurred in spring, while there was very little carbon storage in mid to late summer. Statistical models of carbon exchange in the hemlock forest showed that carbon storage was positively related to daily minimum air temperature in spring, but negatively correlated with soil temperature in the summer. The first effect was attributable to a positive influence of above-freezing minimum temperatures on photosynthesis by hemlock foliage. The negative relationship of soil temperature to carbon storage by hemlock forest in summer was due to exponentially increasing soil and ecosystem respiration, accompanied by a neutral or negative effect of high air temperature on photosynthesis by hemlock trees (see HF063). These effects indicate that carbon storage in the hemlock forest could be strongly affected by climate warming, but the effects will probably be in opposite directions in spring and summer.
DOI: 10.5281/zenodo.10257143
title: Developmental Basis of SHH Medulloblastoma Heterogeneity (mIHC Data)
DOI: 10.5281/zenodo.10257144
title: Developmental Basis of SHH Medulloblastoma Heterogeneity (mIHC Data)
DOI: 10.6073/pasta/168e95f04d4726d31d868bfe22d749a5
title: Frugivoria: A trait database for birds and mammals exhibiting frugivory across contiguous Neotropical moist forests

description: Biodiversity in many areas is rapidly shifting and declining as a consequence of global change. As such, there is an urgent need for new tools and strategies to help identify, monitor, and conserve biodiversity hotspots. One way to identify these areas is by quantifying functional diversity, which measures the unique roles of species within a community and is valuable for conservation because of its relationship with ecosystem functioning. Unfortunately, the trait information required to evaluate functional diversity is often lacking and is difficult to harmonize across disparate data sources. Biodiversity hotspots are particularly lacking in this information. To address this knowledge gap, we compiled Frugivoria, a trait database containing dietary, life-history, morphological, and geographic traits, for mammals and birds exhibiting frugivory, which are important for seed dispersal, an essential ecosystem service. Accompanying Frugivoria is an open workflow that harmonizes trait and taxonomic data from disparate sources and enables users to analyze traits in space. This version of Frugivoria contains mammal and bird species found in contiguous moist montane forests and adjacent moist lowland forests of Central and South America– the latter specifically focusing on the Andean states. In total, Frugivoria includes 45,216 unique trait values, including new values and harmonized values from existing databases. Frugivoria adds 23,707 new trait values (8,709 for mammals and 14,999 for birds) for a total of 1,733 bird and mammal species. These traits include diet breadth, habitat breadth, habitat specialization, body size, sexual dimorphism, and range-based geographic traits including range size, average annual mean temperature and precipitation, and metrics of human impact calculated over the range. Frugivoria fills gaps in trait categories from other databases such as diet category, home range size, generation time, and longevity, and extends certain traits, once only available for mammals, to birds. In addition, Frugivoria adds newly described species not included in other databases and harmonizes species classifications among databases. Frugivoria and its workflow enable researchers to quantify relationships between traits and the environment, as well as spatial trends in functional diversity, contributing to basic knowledge and applied conservation of frugivores in this region. By harmonizing trait information from disparate sources and providing code to access species occurrence data, this open-access database fills a major knowledge gap and enables more comprehensive trait-based studies of species exhibiting frugivory in this ecologically important region.
DOI: 10.5281/zenodo.10260255
title: Study of Calabrian Sounding Objects. Field Notes - E. Ruperto

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.
DOI: 10.5281/zenodo.10260256
title: Study of Calabrian Sounding Objects. Field Notes - E. Ruperto

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.
DOI: 10.6073/pasta/cafdadfe44e46312fe8e36666f1bf5ce
title: Ants Under Climate Change at Harvard Forest and Duke Forest 2009-2015

description: Experimental field studies are needed to understand the consequences of global climatic change for local community structure and associated ecosystem processes. We are using 5-m diameter open-top environmental chambers and 1m pvc minichambers to simultaneously manipulate air and soil temperatures at the Harvard Forest and at the Duke Forest in North Carolina. These field manipulations are designed to reveal the effects of temperature increases on the populations, communities, and associated ecosystem services of assemblages of ground-foraging ants. Ants are a model taxon for studying effects of global climatic change because they comprise the dominant fraction of animal biomass in many terrestrial communities and because they provide essential ecosystem services, including soil turnover, decomposition, and seed dispersal. The experiment is designed to test three predictions: 1. Projected atmospheric warming will lead to declines in ant species’ abundances at the warmer, southern extent of their ranges in the US. Conversely, projected atmospheric warming will lead to increases in abundance or range extensions of ant species at the cooler, northern extent of their ranges in the US. 2. Warming will change the relative abundance and composition of ant communities, and will lead to the loss of ant biodiversity. 3. Warming will potentially diminish ecosystem processes and services provided by ants, particularly with respect to the dispersal of seeds. To explore these, we are conducting two experiments. In one experiment, twelve open-top chambers at each site which will each be exposed air temperatures ranging from 1.5 to 7 deg C above ambient; soil temperatures will be increased simultaneously from 0 to ~ 2 deg C. After an initial year of pre-intervention measurements, the experiment will run for 3 consecutive years of continuous warming. In the second experiment, shade cloth and plastic greenhouse sheeting will be used to increase or decrease temperature by 0.5 deg C in sixty minichambers. The minichamber experiment was conducted in 2009 and will continue into 2010. The response variables measured in both experiments include ant activity, population densities and colony sizes of focal species, ant community diversity and species composition, and rates of seed dispersal and predation as mediated by ants.
DOI: 10.6084/m9.figshare.24720453
title: reactivity_dataset

description: RMechDB profiles
DOI: 10.5281/zenodo.10256960
title: Study of Calabrian Sounding Objects. Interview and Field Notes - A. Trunzo, S. Trunzo and T. Vaccaro

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.
DOI: 10.5281/zenodo.10256961
title: Study of Calabrian Sounding Objects. Interview and Field Notes - A. Trunzo, S. Trunzo and T. Vaccaro

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.
DOI: 10.5281/zenodo.10259904
title: Study of Calabrian Sounding Objects. Field Notes - S. Mancini

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.
DOI: 10.5281/zenodo.10259903
title: Study of Calabrian Sounding Objects. Field Notes - S. Mancini

description: This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. 
 
LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.