cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/1gsd-pz56
title: Traffic noise differentially impacts call types in a Japanese treefrog (Buergeria japonica)

description: &lt;p&gt;Acoustic noise from automobile traffic impedes communication between signaling animals. To overcome the acoustic interference imposed by anthropogenic noise, species across taxa adjust their signaling behavior to increase signal saliency. As most of the spectral energy of anthropogenic noise is concentrated at low acoustic frequencies, species with lower frequency signals are expected to be more affected. Thus, species with low‐frequency signals are under stronger pressure to adjust their signaling behaviors to avoid auditory masking than species with higher frequency signals. Similarly, for a species with multiple types of signals that differ in spectral characteristics, different signal types are expected to be differentially masked. We investigate how the different call types of a Japanese stream breeding treefrog (&lt;i&gt;Buergeria japonica&lt;/i&gt;) are affected by automobile traffic noise. Male &lt;i&gt;B. japonica&lt;/i&gt; produce two call types that differ in their spectral elements, a Type I call with lower dominant frequency and a Type II call with higher dominant frequency. In response to acoustic playbacks of traffic noise, &lt;i&gt;B. japonica&lt;/i&gt; reduced the duration of their Type I calls, but not Type II calls. In addition, &lt;i&gt;B. japonica&lt;/i&gt; increased the call effort of their Type I calls and decreased the call effort of their Type II calls. This result contrasts with prior studies in other taxa, which suggest that signalers may switch to higher frequency signal types in response to traffic noise. Furthermore, the increase in Type I call effort was only a short‐term response to noise, while reduced Type II call effort persisted after the playbacks had ended. Overall, such differential effects on signal types suggest that some social functions will be disrupted more than others. By considering the effects of anthropogenic noise across multiple signal types, these results provide a more in‐depth understanding of the behavioral impacts of anthropogenic noise within a species.&lt;/p&gt;
description: We investigated how the different call types of a Japanese stream breeding treefrog are affected by automobile traffic noise. This noise affected signal types in different ways suggesting some social functions will be disrupted more than others.
DOI: 10.4231/kzt5-7e19
title: Anuran predators overcome visual illusion: dazzle coloration does not protect moving prey

description: &lt;p&gt;Predators everywhere impose strong selection pressures on the morphology and behavior of their prey, but the resulting antipredator adaptations vary greatly among species. Studies of adaptive coloration in prey species have generally focused on cryptic or aposematic prey, with little consideration of color patterns in palatable mobile prey. Complex color patterns have been proposed to decrease the ability of visual predators to capture moving prey (motion dazzle effect). Most support for this hypothesis, however, comes from experiments with human subjects and simulated prey. We tested the motion dazzle effect using, for the first time, natural predators (cane toads, Rhinella marina) and live prey (house crickets, Acheta domesticus) with altered color patterns. We found no support for the motion dazzle effect as striped crickets did not fare better than solid colored ones. Crickets that spent more time moving, however, were more likely to be eaten. Our results suggest that motion specialized visual predators such as toads overcome the motion dazzle effect and impose stronger selection pressure on prey behavior than on coloration. These findings emphasize the importance of sensory specializations of predators in mediating antipredator strategies.&lt;/p&gt;
description: Complex color patterns can decrease capture of moving prey (motion dazzle effect). We found no support for the motion dazzle effect as striped crickets did not fare better than solid colored ones crickets that moved more were more likely to be eaten.
DOI: 10.4231/vwvs-m579
title: Laryngeal demasculinization in wild Cane Toads varies with land use

description: &lt;p&gt;Anthropogenic factors, including the spread of endocrine-disrupting chemicals, have been linked to alterations in the reproductive physiology, morphology, and behavior of wildlife. Few studies of endocrine disruption, however, focus on secondary sexual traits that affect mating signals, despite their importance for reproductive success. The larynx of many anurans (frogs and toads), for example, is larger in males than in females and is crucial for producing mating calls. We aim to determine if wild populations of cane toads (&lt;i&gt;Rhinella marina&lt;/i&gt;) near sugarcane fields in Florida have demasculinized larynges when compared to populations near urban areas. We find evidence of demasculinization in both primary and secondary sexual traits in male toads living near sugarcane. Relative to body size, the laryngeal mass, vocal cord length, and dilator muscle width are all reduced in males from sugarcane regions compared to their urban counterparts. Strong correlations between primary and secondary male sexual traits indicate that demasculinization occurs in concert both within and across diverse organs, including the testes, larynx, and skin. Our results show that anurans near sugarcane fields have demasculinized reproductive systems, that this disruption extends to secondary sexual traits like the larynx, and that it is likely due to anthropogenic causes.&lt;/p&gt;
description: We examined wild populations of cane toads near sugarcane fields in Florida and found evidence of demasculinization in both primary and secondary sexual traits in male toads. Males from sugarcane areas have reduced larynges than toads from the city.
DOI: 10.15468/dl.hupsrc
title: Occurrence Download

description: A dataset containing 26765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.8_1, USA.21_1, USA.9_1, USA.47_1, USA.49_1, USA.39_1, USA.31_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Monarda punctata, Cirsium horridulum, Pontederia cordata, Lysimachia ciliata, Lyonia ligustrina, Cuscuta gronovii, Heuchera americana, Uvularia sessilifolia, Phacelia, Phacelia dubia, Geranium maculatum)"
 ]
}

 The dataset includes 26765 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059459-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/7m5g-fz96
title: Signal synchrony and alternation among neighbor males in a Japanese Stream Breeding Treefrog, Buergeria japonica

description: &lt;p&gt;Animals that aggregate in leks to attract mates often time the production of their mating signals against the signals of neighboring conspecifics. Such signal timing usually falls into general patterns within these aggregations, which can be categorized based on the amount of overlap between the signals. In many species, individuals produce signals in an alternating pattern, avoiding signal overlap to reduce interference and increase mate attraction. In contrast, individuals in some species produce signals in synchrony, maximizing overlap and interference. The prevalence and function of signal synchronization is still unknown in many species. Here we examine the call timing strategies of the Ryukyu Kajika frog (&lt;i&gt;Buergeria japonica&lt;/i&gt;). Using acoustic playback experiments we characterize a divergence in timing patterns between the two call types in this species, one produced in alternation and one in synchrony. Specifically, male &lt;i&gt;B. japonica&lt;/i&gt; responded to playbacks of the first call type (Type I calls) with delayed Type I calls, avoiding overlap with the playbacks. In contrast, males responded to playbacks of the second call type (Type II calls) with synchronized Type II calls, overlapping their calls with the playbacks. Such variation in temporal signaling strategies within a species provides insights into how social and environmental pressures shape signal timings.&lt;/p&gt;
description: We examined call timing strategies of the Ryukyu Kajika frog showing variation in temporal signaling strategies within a
species with a call type that is synchronized with neighbors and another one that is produced alternating.
DOI: 10.5281/zenodo.17981668
title: Data for Phys. Rev. Acc. Beams submission by F. Braun, F. Brockner, D. Lützenkirchen-Hecht. "Impact of Thermal Annealing on Stress, Morphology, and Field Emission of NbTiN Thin Films"

description: This file contains experimental data for the figures in the manuscript "Impact of Thermal Annealing on Stress, Morphology, and Field Emission of NbTiN Thin Films". The data support the findings in the manuscript and is meant for reviewing and documentation prposes.
DOI: 10.5281/zenodo.17981669
title: Data for Phys. Rev. Acc. Beams submission by F. Braun, F. Brockner, D. Lützenkirchen-Hecht. "Impact of Thermal Annealing on Stress, Morphology, and Field Emission of NbTiN Thin Films"

description: This file contains experimental data for the figures in the manuscript "Impact of Thermal Annealing on Stress, Morphology, and Field Emission of NbTiN Thin Films". The data support the findings in the manuscript and is meant for reviewing and documentation prposes.
DOI: 10.4231/n1fm-2d67
title: Hard-braking event dataset for I-35, TX

description: &lt;p&gt;&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/Yr9f26XIfAU" width="560"&gt;&lt;/iframe&gt;&lt;/p&gt;

&lt;p&gt;This data set illustrates the daily variation in hard-braking events for a 500-mile section of I-35 in Texas. The 197,000 hard-braking events used in this dataset are extracted from over 48 billion connected vehicle records in Texas in August 2020. A hard-braking event is defined as a deceleration of more than 8.76 ft/s&lt;sup&gt;s&lt;/sup&gt; (2.67m/s&lt;sup&gt;2&lt;/sup&gt;), as measured by an accelerometer on-board the connected vehicle. There are 4 files in this dataset:&lt;/p&gt;

&lt;p&gt;Aggregated count of hard-braking events per mile per day for I-35 in northbound direction (i35E_NB_HB.csv)&lt;br /&gt;
Aggregated count of hard-braking events per mile per day for I-35 in southbound direction (i35E_SB_HB.csv)&lt;br /&gt;
Slides illustrating the change in hard-braking events per day per mile on I-35(i35E_HB_slides.pdf)&lt;br /&gt;
Video animation illustrating the change in hard-braking events per day per mile on I-35 (i35E_HB_video.mp4)&lt;/p&gt;
description: This data set illustrates the daily variation in hard-braking events for a 500-mile section of I-35 in Texas.
DOI: 10.4231/69h7-cv75
title: R Pipeline for Calculation of APSIM Parameters and Generating the XML File

description: &lt;p&gt;##### Run RStudio as administrator #####&lt;/p&gt;

&lt;p&gt;A pipeline for APSIM parameters calculation was developed to process the 2018 dataset.&lt;/p&gt;

&lt;p&gt;The R script &quot;Pipeline&quot; is used to generate the XML parameter file. Other R scripts are functions created separately that can be called into the Pipeline when needed. R script &quot;conf&quot; defines the input files and output files. The working directory is set in Pipeline to read in the weather file and parameter file using the function &quot;MetFile&quot; and &quot;ParameterParse&quot;. Thermal time is calculated using the function &quot;ThermalTime&quot; and accumulated thermal time from emergence is calculated using the function &quot;LeafNumber&quot;.&lt;/p&gt;

&lt;p&gt;After calculating the accumulated thermal time for different leaf numbers, leaf appearance rate (LAR) is determined using the Function &quot;phyllochronDE&quot;. This function uses DE optimization, so slightly different results are obtained each time you run this function. The LAR output is used to calculate the dynamic Leaf Area Index (LAI) using the function &quot;LeafSizes&quot; based on the calculated leaf number using LAR and the input data such as leaf size distribution parameters, final tiller number, and observed final leaf number.&lt;/p&gt;

&lt;p&gt;The next step is calculating k using the function &quot;K&quot; based on the calculated LAI and observed canopy cover data. With the calculated k and LAI, we can derive the dynamic canopy cover curve and estimate the radiation interception accumulation.&lt;/p&gt;

&lt;p&gt;Radiation Use Efficiency (RUE) is calculated using the radiation interception accumulation and observed biomass.&lt;/p&gt;

&lt;p&gt;After getting all of the parameters, the genotype file and XML file can be written through function &quot;utils&quot; and &quot;GenotypeBuilder&quot;.   &lt;/p&gt;

&lt;p&gt;The parameter file is &quot;SorghumXMLOutput&quot;.&lt;/p&gt;
description: A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".
DOI: 10.4231/gk80-xg71
title: Hard-braking Event Dataset for Interstate Routes in Indiana

description: &lt;iframe width="560" height="315" src="https://www.youtube.com/embed/lqxNNbI4Svg" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen&gt;&lt;/iframe&gt;

&lt;p&gt;This data set illustrates the daily variation in hard-braking events for five interstate routes (I-65, I-69, I-70, I-94 and I-465) in Indiana. Nearly 700,000 hard-braking events used in this dataset were extracted from over 600 million hard-braking events that occurred in Indiana between May and October 2020. A hard-braking event is defined as a deceleration of more than 8.76 ft/s&lt;sup&gt;s&lt;/sup&gt; (2.67m/s&lt;sup&gt;2&lt;/sup&gt;), as measured by an accelerometer on-board a connected vehicle. The dataset (hb_IN_interstates.csv) consists of following attributes:&lt;/p&gt;

&lt;ol&gt;
 &lt;li&gt;route - Route name with direction. For example, I-65 N refers to interstate I-65 in northbound direction. I-465 IL and I-465 OL refers to Inner Loop and Outer Loop on I-465, respectively.&lt;/li&gt;
 &lt;li&gt;date - Date on which the event took place&lt;/li&gt;
 &lt;li&gt;mile_marker - Nearest mile-marker where the event took place&lt;/li&gt;
 &lt;li&gt;hb_count - Number of of hard-braking events&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Supporting documents include a presentation and video highlighting the daily variation in hard-braking events across these interstates.&lt;/p&gt;
description: This data set illustrates the daily variation in hard-braking events for five interstate routes (I-65, I-69, I-70, I-94 and I-465) in Indiana.
DOI: 10.34740/kaggle/dsv/14216837
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.4231/kmk0-j993
title: 2018 West Lafayette Simulation of 18 Sorghum Hybrids

description: &lt;p&gt;The second stage of analysis involves model calibration where the &quot;SorghumXMLOutput&quot; file from the first stage is adjusted by comparing the APSIM simulated results and measured phenotypes. The APSIM files used in the calibration procedure are reported in &quot;2018 West Lafayette Simulation of 18 Sorghum Hybrids&quot;. The calibration steps produce the adjusted physiology parameters for each of the 18 sorghum hybrids and are reported in the &ldquo;SorghumXMLOutputUQ&rdquo; file.&lt;/p&gt;

&lt;p&gt;In the following simulations, APSIM (version 7.9, built number is r4044) software is required. &lt;a href="https://www.apsim.info/download-apsim/"&gt;https://www.apsim.info/download-apsim/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The APSIM files from West Lafayette 2018 (WL18) were used in model calibration.  The files to run the simulation are documented in &ldquo;2018 West Lafayette Simulation of 18 Sorghum Hybrids&rdquo; but the output files are not included. The simulated text files for the 18 hybrids can be generated by running the simulations in APSIM.  For this simulation, the APSIM file (WL18.apsim) was used to run the simulation with weather data (WL18.met) and parameter file (SorghumXMLOutput).&lt;/p&gt;

&lt;p&gt;Based on the comparison of simulated and the observed results from these trials, some adjustments to the SorghumXMLOutput file were made by adding parameters tt_endjuv_to_init, tt_flag_to_flower, and partition_rate_leaf to all hybrids based on the leaf appearance rate and observed flowering time as described by Hammer et al. (2010).  Trudan Headless and Sordan Headless hybrids are photoperiod sensitive so the parameter photoperiod_slope was added to these genotypes to reflect the late flowering time for these varieties. Average leaf appearance rate 1 was used for all 18 hybrids and APSIM default values were used for leaf appearance rate 2. These adjustments were included in the &quot;SorghumXMLOutputUQ&quot; file. &lt;/p&gt;
description: The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.
DOI: 10.4231/0nx5-rt34
title: 2015 West Lafayette Simulation of 18 Sorghum Hybrids

description: &lt;p&gt;In the following simulations, APSIM (version 7.9, built number is r4044) software is required. &lt;a href="https://www.apsim.info/download-apsim/" rel="nofollow noreferrer noopener noreferrer" target="_blank"&gt;https://www.apsim.info/download-apsim/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The calibrated APSIM models from 2018 West Lafayette (SorghumXMLOutputUQ) were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette. The performance of the 18 sorghum hybrids was simulated using the APSIM file (WL15.apsim) with weather data (WL15.met) from 2015 with the parameter inputs from 2018 (SorghumXMLOutputUQ). After running the simulations, the simulated results were compared with the experimental data collected in 2015 to assess the model performance.&lt;/p&gt;
description: The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.
DOI: 10.4231/3ft5-mj18
title: Micromobility data set for Indianapolis

description: lt;pgt;lt;iframe allow=quot;accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picturequot; allowfullscreen=quot;quot; frameborder=quot;0quot; height=quot;315quot; src=quot;https://www.youtube.com/embed/uQ37Ynl7gicquot; width=quot;560quot;gt;lt;/iframegt;lt;/pgt;

lt;pgt;This data set includes 1-year of combined E-scooter trip data from two companies (Bird and Lime) which operated inamp;nbsp;the city of Indianapolis, IN between Sep 2018 andamp;nbsp;Aug 2019. During this period, nearly than 1.2 million trips were made on E-scooters that covered a distance of more than 1.25 million miles. The data set (purr_scooter_data.csv) contains the raw data with an additional layer of hashing to enhance data privacy. Following are the attributes:lt;/pgt;

lt;olgt;
 lt;ligt;trip_id - Unique anonymized trip identifierlt;/ligt;
 lt;ligt;scooter_id - Unique anonymized scooter identifierlt;/ligt;
 lt;ligt;start_time_utc - Start time of the tripamp;nbsp;(ISO 8601 format ([YYYY]-[MM]-[DD]T[hh]:[mm]:[ss][TZD]))lt;/ligt;
 lt;ligt;end_time_utc - End time of the trip (ISO 8601 format ([YYYY]-[MM]-[DD]T[hh]:[mm]:[ss][TZD]))lt;/ligt;
 lt;ligt;start_lat - Latitude of trip originlt;/ligt;
 lt;ligt;start_lon - Longitude of trip originlt;/ligt;
 lt;ligt;end_lat - Latitude of trip destinationlt;/ligt;
 lt;ligt;end_lon - Longitude of trip destinationlt;/ligt;
 lt;ligt;distance_miles - Distance covered by the trip in mileslt;/ligt;
lt;/olgt;

lt;pgt;Acknowledgements:lt;/pgt;

lt;pgt;The authors would like to thank City of Indianapolis for sharing the source dataset through the public records request.lt;/pgt;
description: This data set includes 1-year of E-scooter trip data from the city of Indianapolis, IN between Sep 2018 and Aug 2019.
DOI: 10.4231/6nw4-tb31
title: 2017 West Lafayette Simulation of 18 Sorghum Hybrids

description: &lt;p&gt;In the following simulations, APSIM (version 7.9, built number is r4044) software is required. &lt;a href="https://www.apsim.info/download-apsim/" rel="nofollow noreferrer noopener noreferrer noopener noreferrer" target="_blank"&gt;https://www.apsim.info/download-apsim/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The calibrated APSIM models from 2018 West Lafayette (SorghumXMLOutputUQ) were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette. The performance of the 18 sorghum hybrids was simulated using the APSIM file (WL17.apsim) with weather data (WL17.met) from 2017 with the parameter inputs from 2018 (SorghumXMLOutputUQ). After running the simulations, the simulated results were compared with the experimental data collected in 2017 to assess the model performance.&lt;/p&gt;
description: The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.
DOI: 10.4231/prs2-ac22
title: Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

description: &lt;p&gt;In the following simulations, APSIM (version 7.9, built number is r4044) software is required. &lt;a href="https://www.apsim.info/download-apsim/"&gt;https://www.apsim.info/download-apsim/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;In the Texas scenario simulations, the physiology parameters from 2018 West Lafayette (SorghumXMLOutputUQ) were used to run APSIM simulations of sorghum hybrids grown in Bushland, TX using historical weather data from 1980 to 2017. In the simulation, we assumed the sowing date for all years was June 1 and the plant density was 20 plants/m&lt;sup&gt;2&lt;/sup&gt; with irrigation.  The simulations were run using the weather data (Bushland.met) and physiology parameter files (SorghumXMLOutputUQ) to simulate the production of sorghum hybrids harvested at 80, 100, and 120 days after sowing (TXallyearsEnd80DAS.apsim, TXallyearsEnd100DAS.apsim, and TXallyearsEnd120DAS.apsim). &lt;/p&gt;

&lt;p&gt;APSIM models were validated for nine of the hybrids evaluated in multi-year trials in Bushland, Texas as part of the Texas A&amp;M Forage Sorghum Test (&lt;a href="https://amarillo.tamu.edu/amarillo-center-programs/agronomy/forage-sorghum/"&gt;https://amarillo.tamu.edu/amarillo-center-programs/agronomy/forage-sorghum/&lt;/a&gt;). &lt;/p&gt;
description: In the Texas scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in Bushland, TX using multi-year historical weather data.
DOI: 10.4231/63gj-cj23
title: West Lafayette Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

description: &lt;p&gt;In the following simulations, APSIM (version 7.9, built number is r4044) software is required. &lt;a href="https://www.apsim.info/download-apsim/"&gt;https://www.apsim.info/download-apsim/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The West Lafayette scenario simulations use the sorghum physiology parameters from 2018 West Lafayette (SorghumXMLOutputUQ) to run APSIM simulations of sorghum hybrids grown in West Lafayette, IN using historical weather data from 1980 to 2017. In the simulation, we assumed the sowing date for all years was June 1 and the plant density was 20 plants/m&lt;sup&gt;2&lt;/sup&gt; under rainfed conditions.  The simulations were run using the weather data (WLall.met) and physiology parameter files (SorghumXMLOutputUQ) to simulate the production of sorghum hybrids harvested at 80, 100, and 120 days after sowing (WLallyearsEnd80DAS.apsim, WLallyearsEnd100DAS.apsim, and WLallyearsEnd120DAS.apsim).&lt;/p&gt;
description: In the West Lafayette scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in West Lafayette using multi-year historical weather data.