cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/tc9n-0z36
title: Statewide Analysis of Winter Storm After-Action Report for March 10th – 12th, 2023

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 60 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period March 10th -12th, 2023. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on March 10th, 2023, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/rjq8-yt10
title: Statewide Analysis of Winter Storm After-Action Report for March 13th – 15th, 2023

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 70 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period March 13th -15th, 2023. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on March 13th, 2023, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/4npc-1735
title: Statewide Analysis of Winter Storm After-Action Report for March 17th – 19th, 2023

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 150 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period March 17th -19th, 2023. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on March 17th, 2023, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/vqyn-1t24
title: Statewide Analysis of Winter Storm After-Action Report for December 6th-8th, 2021

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 80 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period December 6th -8th, 2021. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on December 6th, 2021, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/sddj-k923
title: Statewide Analysis of Winter Storm After-Action Report for January 1st-3rd, 2022

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 100 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period January 1st-3rd, 2022. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on January 1st, 2022, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/zw7a-7291
title: Statewide Analysis of Winter Storm After-Action Report for January 16th-18th, 2022

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 90 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period January 16th -18th, 2022. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on January 16th, 2022, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.15468/dl.fk35m2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persoonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059544-251120083545085/datasets/export for details.
DOI: 10.4231/h4xp-rz98
title: Statewide Analysis of Winter Storm After-Action Report for February 2nd – 4th, 2022

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 1,000 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period February 2nd -4th, 2022. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on February 2nd, 2022, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/ffvj-fe82
title: Statewide Analysis of Winter Storm After-Action Report for February 16th – 18th, 2022

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 450 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period February 16th -18th, 2022. Complementary reports for other reporting periods can be found at &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: This report shows the statewide impact of a winter storm on February 16th, 2022, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/jq8j-7807
title: Statewide Analysis of Winter Storm After-Action Report for February 23rd – 25th, 2022

description: &lt;p&gt;This after-action winter storm report provides agencies with the ability to quantify winter storm impact and can be used to make data-driven decisions for future winter events. It can also be used for training purposes.&lt;/p&gt;

&lt;p&gt;This report looks at mobility and impact of winter weather events statewide using connected vehicle data, weather data, snowplow telematics, and dash camera imagery during a storm that had over 150 miles of traffic operating at below 45 mph statewide.By combining all these data sources agencies are able to visualize the impact on interstates and representative operating districts to aid in redeployment strategies.&lt;/p&gt;

&lt;p&gt;The dataset contains a pdf file with charts of vehicle data, weather data, and snowplow telematics and a csv file that contains data from Indiana Interstate Congestion as roadway miles operating at below 45 mph.&lt;/p&gt;

&lt;p&gt;This after-action report is for the period February 23rd-25th, 2022. Complementary reports for other reporting periods can be found here: doi: &lt;a href="https://doi.org/10.4231/ACMF-JY72"&gt;10.4231/ACMF-JY72&lt;/a&gt;.&lt;/p&gt;
description: This report shows the statewide impact of a winter storm on February 23rd, 2022, using connected vehicle data, weather data, and snowplow telematics.
DOI: 10.4231/50r5-em83
title: Genome-wide, Organ-delimited gene regulatory networks (OD-GRN) provide high accuracy in candidate Transcription Factor (TF) selection across diverse processes

description: &lt;p&gt;Organ-specific gene expression datasets that include hundreds to thousands of experiments allow reconstruction of organ-level gene regulatory networks. However, creating such datasets is greatly hampered by the requirements of extensive and tedious manual curation. Here we trained a supervised classification model that can accurately classify the organ-of-origin for a plant transcriptome. This K-Nearest Neighbor-based multiclass classifier was used to create organ-specific gene expression datasets for the leaf, root, shoot, flower and seed in &lt;em&gt;Arabidopsis thaliana&lt;/em&gt;. A gene regulatory network (GRN) inference approach was then used to determine: &lt;em&gt;i.&lt;/em&gt; influential transcription factors (TFs) in each organ and, &lt;em&gt;ii.&lt;/em&gt; the most influential TFs for specific biological processes in that organ. These genome-wide, organ-delimited GRNs (OD-GRNs), recalled many known regulators of organ development and processes operating in those organs. Importantly, many previously unknown TF regulators were uncovered as potential regulators of these processes. As a proof-of-concept, we focused on experimentally validating the predicted TF regulators of lipid biosynthesis in seeds, with relevance to food and biofuel production. Of the top twenty candidate TFs, eight are known regulators of seed oil content, including WRI1, LEC1, and FUS3. Importantly, we validated five previously unknown TFs MybS2, TGA4, SPL12, AGL18 and DiV2 as regulators of seed lipid biosynthesis. We elucidated the molecular mechanism of MyB2 and show that it induces PAP family genes and lipid synthesis genes to enhance seed lipid content. This general approach has the potential to be extended to any species with sufficiently large gene expression datasets to discover novel regulators of any trait-of-interest. &lt;/p&gt;

&lt;p&gt;A web tool for querying and visualizing the OD-GRNs is available here: https://www.purdue.edu/hla/sites/varalalab/od-grns/ . The underlying gene expression datasets shared here can be used to create custom subsets, or as input for alternate GRN inference or other ML applications. &lt;/p&gt;
description: Organ-specific gene expression datasets that include hundreds to thousands of experiments allow reconstruction of gene regulatory networks and discovery of transcriptional regulators various pathways and processes.
DOI: 10.4231/4kby-0m13
title: Data and Code for: Quantifying oxythermal fish habitat quality in a large freshwater ecosystem

description: &lt;p&gt;The global occurrence and severity of aquatic hypoxia has been exacerbated by anthropogenic activities such as excess nutrient loading and climate change. There are various mechanisms by which hypoxia may affect aquatic organisms and impacts of hypoxia may occur synergistically with other environmental conditions (e.g., temperature). Nonetheless, aquatic resource managers often lack appropriate indicators for measuring the strength and severity of hypoxic conditions. Without standard methods to index hypoxic conditions, it is difficult to evaluate whether management practices are resulting in water quality and habitat improvements. We developed a novel framework for the application of fish habitat quality modeling to assess the severity of hypoxia in a large lake ecosystem. The framework produces three-dimensional measures of fish bioenergetic growth-rate potential in response to spatially-explicit oxythermal conditions and can be applied to other aquatic systems where vertical profile data are collected. We applied this framework to the seasonally hypoxic central basin of Lake Erie using a long-term water quality dataset, then compared our biological indicator to recognized drivers and indices of hypoxic conditions in Lake Erie. Our model application summarized spatiotemporally complex habitat quality conditions for six different fish species and life stages. Annual summary indices of habitat quality varied among years and species.  Furthermore, our annual indicator was not strongly correlated with annual nutrient loading and an existing index of hypoxia severity. We suggest that quantification of this habitat quality index is a useful approach for studying the annual impact of hypoxia on biota in aquatic systems.&lt;/p&gt;
description: A model was developed to quantify fish habitat quality in the central basin of Lake Erie through time in response to ambient temperature and dissolved oxygen.
DOI: 10.4231/cdvq-7197
title: Data for: Population-level variation in insecticide tolerance across three life stages of the trematode Echinostoma trivolvis

description: &lt;p&gt;Abstract: Ecotoxicological studies using single test populations may miss the inherent variation of natural systems and limit our understanding of how contaminants affect focal species. Though population-level variation in pesticide tolerance is commonly observed in host taxa, few studies have assessed population-level differences in the tolerance of parasites to different contaminants. We investigated population-level variation in insecticide tolerance of three &lt;em&gt;Echinostoma trivolvis&lt;/em&gt; life stages (egg, miracidium, and cercaria) to three insecticides (carbaryl, chlorpyrifos, and diazinon). We tested two relevant metrics of insecticide tolerance&mdash;baseline and induced&mdash;across up to eight different parasite populations per life stage. Across all life stages, the insecticide treatments tended to reduce survival, but the magnitude of their effects often varied significantly among populations. Surprisingly, we found that exposure to chlorpyrifos increased the hatching success of echinostome eggs relative to the control treatment in three of six tested populations. We also found that cercariae shed from snails previously exposed to a sublethal concentration of chlorpyrifos had a significantly lower mortality rate when subsequently exposed to a lethal concentration of chlorpyrifos relative to individuals from snails that were not previously exposed; this suggests inducible tolerance in cercariae. We found no evidence that insecticide tolerance is correlated across parasite life stages within a population. Together the findings of our study demonstrate that single-population toxicity assays may greatly over- or underestimate the effects of pesticides on the survival of free-living parasite stages, insecticide tolerance levels may not be predictable from one parasite life stage to the next, and insecticides can have both expected and counterintuitive effects on non-target taxa.&lt;/p&gt;
description: These data correspond to a paper entitled "Population-level variation in insecticide tolerance across three life stages of the trematode Echinostoma trivolvis" published in the journal Aquatic Toxicology in 2023.
DOI: 10.4231/nwkj-4b32
title: Data for: Intensity effects of light coupling to one- or two-atom arrays of infinite extent

description: &lt;p&gt;This data is for a paper where we theoretically and computationally investigate the behavior of infinite atom arrays when illuminated by nearly resonant light. We use higher order mean field equations to investigate the coherent reflection and transmission and incoherent scattering of photons from a single array and from a pair of arrays as a function of detuning for different values of the Rabi frequency. For the single array case, we show how increasing the light intensity changes the probabilities for these different processes. For example, the incoherent scattering probability initially increases with light intensity before decreasing at higher values. For a pair of parallel arrays at near resonant separation, the effects from increasing light intensity can become apparent with incredibly low intensity light. In addition, we derive the higher order mean field equations for these infinite arrays giving a representation that can be evaluated with a finite number of equations.&lt;/p&gt;
description: Data used in the figures of Phys. Rev. A (2023) titled "Intensity effects of light coupling to one- or two-atom arrays of infinite extent" with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.
DOI: 10.4231/xakq-0t30
title: Introduction histories and climatic distribution patterns among three congeneric invasive anurans

description: &lt;p&gt;Human activity often results in translocation of species from their native range to new locations where they can become established. Climate conditions in these new locations, however, are often different from those under which the species evolved. Understanding the introduction histories of invasive species and the patterns associated with their ability to establish under novel climatic conditions provide valuable insights, as biological invasions are a serious threat to global biodiversity. Here, we use publicly available occurrence data and published locality records to reconstruct the invasion history of three congeneric frogs native to the Caribbean. These species are &lt;em&gt;Eleutherodactylus coqui, Eleutherodactylus planirostris, &lt;/em&gt;and E&lt;em&gt;leuetherodactylus johnstonei&lt;/em&gt;. The study uses records from the entire introduction history of each species, and it focuses on each species&#39; global native and non-native range. To compare the climate conditions in their native and non-native ranges, we use the WorldClim database to characterize the climate of the location for each species&rsquo; presence record. The reconstruction of the introduction histories revealed species-specific translocation pathways and timing. However, we found that all three species have introduced and established populations in locations with significantly different climatic conditions from their native range. These findings suggest these species&rsquo; share the ability to expand their climatic niche. Plasticity under novel environmental conditions, rapid adaptation, or both could underlie the expansion outside of their native range. Overall, this study highlights how, when introduced to a new area, closely related species from the same geographic area may follow diverse introduction pathways and can vary both in their establishment success and the climatic conditions they can tolerate in their introduced range. &lt;/p&gt;
description: This study uses species occurrence data and climate data to understand the introduction histories of three invasive anurans and display the role of climate in the establishment success of invaders.