cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23535717.v1
title: Data and code for: Hummingbirds use distinct control strategies for forward and hovering flight

description: Data and code for: "Hummingbirds use distinct control strategies for forward and hovering flight" by Baliga VB, Dakin R, Wylie DR, and Altshuler DL; Proceedings of the Royal Society B: Biological SciencesQuestions/concerns/comments: Vikram Baliga (vikram.baliga@ubc.ca)<br>Data:- All data required to re-create analyses and figures are stored within /processed_data_exports. Note that these are not original (Flydra) data; due to file size constraints, Flydra data cannot be included here.- The /lookup_and_metadata directory contains several files that describe the metadata and other important characteristics of the original data and subjectsCode:- All code required to re-create analyses and figures are provided as .R files.- The two "master_script_" files are required to be run prior to recreating figures. Objects that figure creation relies on are generated by the master scripts- Files to support the master scripts are house in /data_import_scripts, but do not need to be called directly by the user. Rather, the master scripts will source these auxiliary files automatically as needed.- Code for each figure is provided within separate .R files. Multi-panel plots are created wherever possible, but might differ slightly in presentation from their final format due to rendering differences across platforms.
DOI: 10.34740/kaggle/dsv/7021510
title: Walkability Index U.S Protection
DOI: 10.6084/m9.figshare.24602127
title: frog_metadata_2021.csv

description: In addition to gradual warming, the effects of climate change also include rapid temperature changes which will expose animals to extreme temperatures at short time scales. This, coupled with substantial evidence that gut microbiota help facilitate host resilience to gradual temperature increases motivated us to ask, how do ectotherm gut microbiota respond to extreme temperature exposure? Does this response depend on the CTmax of the host?To address these questions, we collected wood frogs egg masses from 15 populations in the USA, from as far south as South Carolina, to as far north as Vermont (a roughly 10° latitudinal gradient) and reared them in Storrs, Connecticut. The latitudinal scope of our study design allowed us to also account for the influence of intraspecific variation in body size and adaptations to local climates on both CT<sub>max</sub> and the gut microbiota. Frogs from disparate populations may have different critical thermal tolerances because exposure to extreme high and low temperatures, as well as different amounts of climate variability in the past may select for populations’ upper and lower survivable thermal limits. Exposure to temperatures at the limits of the survivable thermal window may affect the host gut microbiota through direct effects on bacteria, and indirect effects on host physiology.To understand how brief exposure to a host’s CT<sub>max</sub> can impact the gut microbial community at different time scales, we exposed post-metamorphic wood frogs to their upper survivable temperatures and then examined their gut microbiota at two timepoints (24h and 96h) post-exposure. We hypothesized that because exposure to CT<sub>max</sub> is a stressor for wood frog hosts it would also be a stressor to and would induce changes to the gut microbiota of wood frogs. Specifically, we predicted that CT<sub>max </sub>exposure would reduce the diversity of the gut microbiota, shift the composition of the microbiota away from that of frogs not exposed to CT<sub>max</sub>, and increase the variability of community composition. We measured the gut microbiota at two timepoints after CT<sub>max</sub> exposure and compared it to control frogs to determine whether perturbations to the gut microbiota were temporary or persistent (lasting at least four days).
DOI: 10.6084/m9.figshare.24602127.v1
title: frog_metadata_2021.csv

description: In addition to gradual warming, the effects of climate change also include rapid temperature changes which will expose animals to extreme temperatures at short time scales. This, coupled with substantial evidence that gut microbiota help facilitate host resilience to gradual temperature increases motivated us to ask, how do ectotherm gut microbiota respond to extreme temperature exposure? Does this response depend on the CTmax of the host?To address these questions, we collected wood frogs egg masses from 15 populations in the USA, from as far south as South Carolina, to as far north as Vermont (a roughly 10° latitudinal gradient) and reared them in Storrs, Connecticut. The latitudinal scope of our study design allowed us to also account for the influence of intraspecific variation in body size and adaptations to local climates on both CT<sub>max</sub> and the gut microbiota. Frogs from disparate populations may have different critical thermal tolerances because exposure to extreme high and low temperatures, as well as different amounts of climate variability in the past may select for populations’ upper and lower survivable thermal limits. Exposure to temperatures at the limits of the survivable thermal window may affect the host gut microbiota through direct effects on bacteria, and indirect effects on host physiology.To understand how brief exposure to a host’s CT<sub>max</sub> can impact the gut microbial community at different time scales, we exposed post-metamorphic wood frogs to their upper survivable temperatures and then examined their gut microbiota at two timepoints (24h and 96h) post-exposure. We hypothesized that because exposure to CT<sub>max</sub> is a stressor for wood frog hosts it would also be a stressor to and would induce changes to the gut microbiota of wood frogs. Specifically, we predicted that CT<sub>max </sub>exposure would reduce the diversity of the gut microbiota, shift the composition of the microbiota away from that of frogs not exposed to CT<sub>max</sub>, and increase the variability of community composition. We measured the gut microbiota at two timepoints after CT<sub>max</sub> exposure and compared it to control frogs to determine whether perturbations to the gut microbiota were temporary or persistent (lasting at least four days).
DOI: 10.5519/qd.ckevpcj0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (310 records)
DOI: 10.5281/zenodo.8226096
title: Dataset of "A Metabolites Merging Strategy (MMS): Harmonization to enable studies intercomparison"

description: Metabolomics encounters challenges in cross-study comparisons due to diverse metabolite nomenclature and reporting practices. To bridge this gap, we introduce the Metabolites Merging Strategy (MMS), offering a systematic framework to harmonize multiple metabolite datasets for enhanced interstudy comparability. MMS has three steps. Step 1: Translation and merging of the different datasets by employing InChIKeys for data integration, encompassing the translation of metabolite names (if needed). Followed by Step 2: Attributes' retrieval from the InChIkey, including descriptors of name (title name from PubChem and RefMet name from Metabolomics Workbench), and chemical properties (molecular weight and molecular formula), both systematic (InChI, InChIKey, SMILES) and non-systematic identifiers (PubChem, CheBI, HMDB, KEGG, LipidMaps, DrugBank, Bin ID and CAS number), and their ontology. Finally, a meticulous three-step curation process is used to rectify disparities for conjugated base/acid compounds (optional step), missing attributes, and synonym checking (duplicated information). The MMS procedure is exemplified through a case study of urinary asthma metabolites, where MMS facilitated the identification of significant pathways hidden when no dataset merging strategy was followed. This study highlights the need for standardized and unified metabolite datasets to enhance the reproducibility and comparability of metabolomics studies.
DOI: 10.5281/zenodo.8226097
title: Dataset of "A Metabolites Merging Strategy (MMS): Harmonization to enable studies intercomparison"

description: Metabolomics encounters challenges in cross-study comparisons due to diverse metabolite nomenclature and reporting practices. To bridge this gap, we introduce the Metabolites Merging Strategy (MMS), offering a systematic framework to harmonize multiple metabolite datasets for enhanced interstudy comparability. MMS has three steps. Step 1: Translation and merging of the different datasets by employing InChIKeys for data integration, encompassing the translation of metabolite names (if needed). Followed by Step 2: Attributes' retrieval from the InChIkey, including descriptors of name (title name from PubChem and RefMet name from Metabolomics Workbench), and chemical properties (molecular weight and molecular formula), both systematic (InChI, InChIKey, SMILES) and non-systematic identifiers (PubChem, CheBI, HMDB, KEGG, LipidMaps, DrugBank, Bin ID and CAS number), and their ontology. Finally, a meticulous three-step curation process is used to rectify disparities for conjugated base/acid compounds (optional step), missing attributes, and synonym checking (duplicated information). The MMS procedure is exemplified through a case study of urinary asthma metabolites, where MMS facilitated the identification of significant pathways hidden when no dataset merging strategy was followed. This study highlights the need for standardized and unified metabolite datasets to enhance the reproducibility and comparability of metabolomics studies.
DOI: 10.5066/p9y9ezi9
title: Sampling information and water-quality data collected during viable avian influenza virus sampling in Iowa wetlands, 2022

description: Data sets containing: (1) sampling information and equipment, (2) precipitation and air temperature data from Iowa counties containing wetlands sampled, (3) water quality measurements from Iowa wetlands sampled, (4) quality assurance quality control sample result information, and (4) similarities between the highly pathogenic H5N1 virus water sequence and other highly pathogenic avian influenza H5N1 viruses sequenced from poultry and wild birds in Iowa.
DOI: 10.34683/sr513
title: StoneRounds Case: SR513
title: AD Cone and Cone Rod Dystrophy

description: StoneRounds Case SR513 was diagnosed with AD Cone and Cone Rod Dystrophy likely caused by mutations in the gene: GUCY2D.
DOI: 10.6084/m9.figshare.24602115
title: Seedling_Growth_Increment

description: · Invasive pathogens threaten the stability of forest ecosystems worldwide. Trees possess intrinsic pathogen defense mechanisms, like major-gene resistance (MGR) and quantitative-disease resistance (QDR). Symbiotic fungi can enhance this resistance, influencing entire ecosystems. Yet, how fungal symbionts influence different host resistance genotypes, and their phenotypic expression is poorly understood.· We inoculated <i>Pinus monticola</i> seedling families exhibiting resistance (MGR or QDR) or high susceptibility to <i>Cronartium ribicola</i>, the causative agent of white pine blister rust (WPBR), with endophytic and ectomycorrhizal (EM) fungi individually and in combination. We monitored growth, foliar defenses, and disease progression before and after <i>C. ribicola</i> infection and in controls without <i>C. ribicola</i> infection.· We observed prolonged changes in inducible defenses and immune priming across all treatments. In the non-infected control treatments, shifts in terpene composition coincided with increased seedling growth rate. In WPBR-infected seedlings, shifts in terpenes correlated with reduced symptoms in QDR, and to a lesser extent, in susceptible, while MGR seedlings appeared less affected.· These results underscore the role of endophytic and EM fungi to improve tree growth and defense against pathogens, reducing disease symptoms. We also show that these fungi can play a critical role in latent and long-lasting effects on conifer foliar terpenes, expanding our understanding of their ecological significance.
DOI: 10.6084/m9.figshare.24602115.v1
title: Seedling_Growth_Increment

description: · Invasive pathogens threaten the stability of forest ecosystems worldwide. Trees possess intrinsic pathogen defense mechanisms, like major-gene resistance (MGR) and quantitative-disease resistance (QDR). Symbiotic fungi can enhance this resistance, influencing entire ecosystems. Yet, how fungal symbionts influence different host resistance genotypes, and their phenotypic expression is poorly understood.· We inoculated <i>Pinus monticola</i> seedling families exhibiting resistance (MGR or QDR) or high susceptibility to <i>Cronartium ribicola</i>, the causative agent of white pine blister rust (WPBR), with endophytic and ectomycorrhizal (EM) fungi individually and in combination. We monitored growth, foliar defenses, and disease progression before and after <i>C. ribicola</i> infection and in controls without <i>C. ribicola</i> infection.· We observed prolonged changes in inducible defenses and immune priming across all treatments. In the non-infected control treatments, shifts in terpene composition coincided with increased seedling growth rate. In WPBR-infected seedlings, shifts in terpenes correlated with reduced symptoms in QDR, and to a lesser extent, in susceptible, while MGR seedlings appeared less affected.· These results underscore the role of endophytic and EM fungi to improve tree growth and defense against pathogens, reducing disease symptoms. We also show that these fungi can play a critical role in latent and long-lasting effects on conifer foliar terpenes, expanding our understanding of their ecological significance.
DOI: 10.6084/m9.figshare.22800185
title: Natural Language Understanding Dataset for DoD Cybersecurity Policies (CSIAC-DoDIN V1.0)

description: The CSIAC-DoDIN (V1.0) dataset collects cybersecurity-related policies and issuances developed by the DoD Deputy CIO for Cybersecurity. The dataset is based on a knowledge base that clusters and classifies these policies and provides an organizational structure. The dataset includes annotated documents with policies, responsibilities, procedures, classification, purpose, scope, and applicability. The dataset also includes cluster and subcluster classification, type classification, and text entailment. The dataset is available for research and experimentation, and baseline performances using transformer language models have been provided. The limitations of the dataset include its focus on DoD cybersecurity policies, the English language, and the provided tasks. The dataset can serve as a benchmark and basis for future cybersecurity policy datasets and applications. Still, caution should be exercised regarding potential risks and biases associated with transformer language models.
DOI: 10.21227/mxfb-sc71
title: Stroke Prediction Dataset

description: This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.Attribute Information1) id: unique identifier2) gender: "Male", "Female" or "Other"3) age: age of the patient4) hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension5) heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease6) ever_married: "No" or "Yes"7) work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"8) Residence_type: "Rural" or "Urban"9) avg_glucose_level: average glucose level in blood10) bmi: body mass index11) smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"*12) stroke: 1 if the patient had a stroke or 0 if not*Note: "Unknown" in smoking_status means that the information is unavailable for this patientAcknowledgements(Confidential Source) - Use only for educational purposesIf you use this dataset in your research, please credit the author.
DOI: 10.6084/m9.figshare.24602223
title: Raw data files

description: The vulnerability of fish populations to climate change is driven primarily by impacts on their most vulnerable life stages. The earliest life stages may, in many cases, be more thermally sensitive than juvenile and adult fish, as developing embryos cannot behaviourally thermoregulate. Here, we quantified the survivorship of incubating brook trout (<i>Salvelinus fontinalis</i>) embryos under a range of winter thermal regimes. In the laboratory, embryos from four populations with varying amounts of native or mixed ancestry were reared under four simulated winter thermal regimes relevant to the central portion of the species’ range: ambient stream temperatures (fed by a local coldwater stream), ambient +2 °C, ambient with a simulated winter snowmelt event, and ambient followed by an early rise to spring temperatures. Embryo survival (hatching success) differed significantly among populations across all thermal regimes, with the pure native population having the lowest survival. No consistent differences in survivorship across thermal regimes were detected, although native populations exhibited more among-family variability in response to thermal stress. Our study does not align closely with others that found reduced embryo survival under thermal stress, but concurs with literature observations of substantial intraspecific variation in thermal performance in coldwater fishes. Our results suggest that brook trout embryos may be somewhat resilient in the face of warmer and more variable incubation conditions, perhaps owing to their adaptation for incubation in inherently stochastic environments such as small streams. Future experiments that include more extreme and variable conditions to clarify environmental limits of early life stages of brook trout would be useful for conservation planning.
DOI: 10.6084/m9.figshare.24602223.v1
title: Raw data files

description: The vulnerability of fish populations to climate change is driven primarily by impacts on their most vulnerable life stages. The earliest life stages may, in many cases, be more thermally sensitive than juvenile and adult fish, as developing embryos cannot behaviourally thermoregulate. Here, we quantified the survivorship of incubating brook trout (<i>Salvelinus fontinalis</i>) embryos under a range of winter thermal regimes. In the laboratory, embryos from four populations with varying amounts of native or mixed ancestry were reared under four simulated winter thermal regimes relevant to the central portion of the species’ range: ambient stream temperatures (fed by a local coldwater stream), ambient +2 °C, ambient with a simulated winter snowmelt event, and ambient followed by an early rise to spring temperatures. Embryo survival (hatching success) differed significantly among populations across all thermal regimes, with the pure native population having the lowest survival. No consistent differences in survivorship across thermal regimes were detected, although native populations exhibited more among-family variability in response to thermal stress. Our study does not align closely with others that found reduced embryo survival under thermal stress, but concurs with literature observations of substantial intraspecific variation in thermal performance in coldwater fishes. Our results suggest that brook trout embryos may be somewhat resilient in the face of warmer and more variable incubation conditions, perhaps owing to their adaptation for incubation in inherently stochastic environments such as small streams. Future experiments that include more extreme and variable conditions to clarify environmental limits of early life stages of brook trout would be useful for conservation planning.
DOI: 10.5281/zenodo.10150558
title: GODEEEP Light Duty Vehicle (LDV) Hourly Time Series Loads by County

description: Each file contains projected light duty vehicle (LDV) load by county for a particular U.S. state, GCAM-USA scenario, and climate pathway as specified in the file name. For the full discussion of the methodology, please see https://godeeep.pnnl.gov/pubs/EV_Load_Shapes_GODEEEP_Arxiv.pdf. For the balancing authority level timeseries, please see 10.5281/zenodo.7888568.
GCAM-USA scenarios (see 10.5281/zenodo.7838871 and 10.5281/zenodo.8377778 for more details):

`BAU_Climate` - a business-as-usual scenario without IRA incentives
`business_as_usual_ira_ccs_climate` - a business-as-usual scenario with IRA incentives for CCS technology
`NetZeroNoCCS_Climate` - a scenario targeting net-zero by 2050 without IRA incentives, disallowing CCS technology
`net_zero_ira_ccs_climate` - scenario targeting net-zero by 2050 with IRA incentives for CCS technology
Climate pathways (see 10.1038/s41597-023-02485-5 for more details):

`rcp45cooler` - historical weather patterns projected into the future with a warming signal applied commensurate with a cooler ensemble of RCP4.5 CMIP6 models
`rcp85hotter` - historical weather patterns projected into the future with a warming signal applied commensurate with a hotter ensemble of RCP4.5 CMIP6 models
Fields in the data files:

`time` - hourly timestamp in UTC representing the preceding hour of data
`load_MWh` - load on the grid caused by the charging of LDVs during this hour within this county and balancing authority in megawatt hours
`temperature_celsius` - mean temperature within this county and balancing authority in degrees Celsius
`FIPS` - FIPS code for the county
`balancing_authority` - the balancing authority responsible for the load reported in this row; note that some counties span multiple balancing authorities and their load is divided between those balancing authorities proportional to the population residing within that balancing authority
`State` - the state abbreviation for this county
 
This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). 
PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.
DOI: 10.5281/zenodo.10182895
title: Hydrologic Connectivity Regulates Riverine N2O Sources and Dynamics [Dataset]

description: This repository contains summarized N2O concentration, isotope, watershed attribute, and stream hydraulics data for the Cannon River Watershed. More details about the data can be found in the enclosed metadata file.
DOI: 10.5281/zenodo.10182896
title: Hydrologic Connectivity Regulates Riverine N2O Sources and Dynamics [Dataset]

description: This repository contains summarized N2O concentration, isotope, watershed attribute, and stream hydraulics data for the Cannon River Watershed. More details about the data can be found in the enclosed metadata file.
DOI: 10.6084/m9.figshare.24571021
title: Dataset for "Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors"

description: Dataset for "Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors"
DOI: 10.6084/m9.figshare.24571021.v1
title: Dataset for "Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors"

description: Dataset for "Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors"
DOI: 10.15472/ox7tp0
title: Lista de especies de Plantas útiles de la Reserva Natural La Planada - Resguardo Indígena Awá Pialapí Pueblo Viejo, Ricaurte, departamento de Nariño, Colombia

description: Este recurso presenta las especies de plantas útiles documentadas para la Reserva Natural La Planada y Resguardo Indígena Awá Pialapí Pueblo Viejo, Ricaurte, Nariño, Colombia, proveniente de la revisión de línea base (A01), revisión en colecciones biológicas del país (A02) y especies documentadas en el monitoreo biológico entre febrero de 2021 y febrero de 2022 (A03). En total se reportan 417 especies, pertenecientes a 47 ordenes, 111 familias y 267 géneros.