cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/mtma-8479
title: Online Spiritual Atlas of the Global East - Hong Kong (OSAGE-HK) Data

description: &lt;p&gt;The Online Spiritual Atlas of the Global East - Hong Kong (OSAGE-HK) was created by the Center on Religion and the Global East &lt;a auth="NotApplicable" href="https://www.globaleast.org/" rel="noopener noreferrer noopener noreferrer" target="_blank"&gt;(CRGE)&lt;/a&gt; at Purdue University. OSAGE-HK allows users to visualize the spatial distribution of individual religious sites in Hong Kong, as well as see how districts compare with each other in terms of the number of religious sites. Currently, the data consists of 2,657 religious sites in the 18 districts in Hong Kong.&lt;/p&gt;

&lt;p&gt;The data for religious sites was collected and provided by Dr. Kim-kwong Chan and his research assistant, Mr. Gao Xingdong, in 2022 based on the following criteria: 1) Physical location operated by a religious group, or organization by a religious practitioner who is in charge and responsible for such venue; 2) Registered address with the civil authority; 3) There are religious activities in these venues on a regular basis involving religious leaders and believers; 4) The venue is open to religious believers. The data for schools in Hong Kong is from &lt;a href="https://purdueuniversity.maps.arcgis.com/home/item.html?id=92f25ad465d340dba4ad3170005832e8" target="_blank"&gt;Esrichinahk&lt;/a&gt; (July, 2022).&lt;/p&gt;
description: OSAGE Religious data
DOI: 10.4231/35cv-pn42
title: Jupyter notebook and SimVascular case files for "Flow rate--pressure drop relations for slender compliant tubes"

description: &lt;p&gt;The Jupyter Notebook &#39;thick_tube_fsi.ipynb&#39; in this dataset generates all the plots in the manuscript &quot;Flow rate--pressure drop relations for new configurations of slender compliant tubes arising in microfluidics experiments&quot; by Wang, Pande and Christov (2022).&lt;/p&gt;

&lt;p&gt;A python distribution is required to run the notebook. The notebook has several sections, each of which produces a corresponding plot from the manuscript. Some plots are based on analytical formulas derived in the manuscript, while others require the numerical solution of differential or algebraic/transcendental equations. Standard methods from numpy, scipy and matplotlib are used for numerical calculations, including solving of nonlinear boundary value problems, and plotting.&lt;/p&gt;

&lt;p&gt;The two files &#39;a.txt&#39; and &#39;b.txt&#39; in this dataset contain the simulated displacement field at a prescribed streamwise location in both configurations considered, as described in the manuscript. These two files were exported from Paraview.&lt;/p&gt;

&lt;p&gt;The zip file &#39;Thick_tube_simulations_rev.zip&#39; in this data set contains folders with the setup and 3D simulation data used/produced by svFSI. A &lt;a href="http://simvascular.github.io/index.html"&gt;SimVascular&lt;/a&gt; installation with working svFSI is required to run the simulations.  The subfolder &#39;Configuration1a&#39; corresponds to configuration I in the manuscript, with the soft wall thickness of 25 micrometers. The mesh files, &#39;svFSI.inp&#39; and a sample result &#39;300.vtu&#39; file at the flow rate of 300 microliter/min are provided. The subfolder &#39;Configuration1b&#39; corresponds to configuration I in the manuscript, with the soft wall thickness of 200 micrometers. The mesh files, &#39;svFSI.inp&#39; and a sample result &#39;400.vtu&#39; file at the flow rate of 400 microliter/min are provided. The subfolder &#39;Configuration2&#39; corresponds to configuration II in the manuscript. The mesh files, &#39;svFSI.inp&#39; and a sample result &#39;400.vtu&#39; file at the flow rate of 400 microliter/min are provided.&lt;/p&gt;

&lt;p&gt;Inferences based on these results/plots and discussion of their meaning/implications can be found in the published manuscript. &lt;/p&gt;
description: Zip files with codes and data to make the plots in the manuscript "Flow rate--pressure drop relations for new configurations of slender compliant tubes arising in microfluidics experiments" by Wang, Pande & Christov (2022).
DOI: 10.4231/sjc1-9f83
title: Methane emissions from Arctic landscapes during 2000-2015: An analysis with land and lake biogeochemistry models

description: &lt;p&gt;Wetlands and freshwater bodies (mainly lakes) are the largest natural source of greenhouse gas CH&lt;sub&gt;4 &lt;/sub&gt;to the atmosphere. This project quantifies the methane emissions from both land and freshwater bodies in the pan-Arctic with two process-based biogeochemistry models by minimizing the double accounting at the landscape scale. The dataset contains the processed modeling output from TEM-MDM and ALBM for the year 2000-2015.&lt;/p&gt;
description: This data contains the processed model output of methane emission from the ALBM and TEM-MDM models.
DOI: 10.4231/mv0j-xm83
title: The role of absorbed energy on the oscillation mode of an air bubble in a cavitation-induced acoustic field

description: &lt;p&gt;The dataset contains the images (.tiff) and pressure signals (.lvm) of an evolving laser-induced cavitation bubble (time history) and its interaction with a gas bubble at different conditions.&lt;/p&gt;

&lt;p&gt;The shape oscillation of an acoustically-excited gas bubble is not fully understood despite applications from biomedical to sound propagation in oceans. We present the first detailed investigation and characterization of air bubble oscillations due to a cavitation-induced acoustic field and quantify the energy needed to excite the growth of sub-harmonics and super-harmonics. We show how the acoustic intensity and bubble size govern the bubble energy absorption and discover the relationship determining how the absorbed energy generates ripples on the bubble surface, their growth, and ultimate bubble breakup. This work will enable the physics community to explain fundamental bubble-bubble and cavitation-bubble interactions.&lt;/p&gt;
description: When an acoustic pressure drives a gas bubble in a liquid, the bubble undergoes volume oscillation, i.e., the radial expansion and contraction of the bubble without varying its shape. However, if the amplitude of the driving waves exceeds a...
DOI: 10.4231/7zms-zb05
title: Assessing the effect of compounds from plantar foot sweat, nesting material, and urine on social behavior in male mice, Mus musculus

description: &lt;p&gt;Home cage aggression causes poor welfare in male laboratory mice and reduces data quality. One of the few proven strategies to reduce aggression involves preserving used nesting material at cage change. Volatile organic compounds from the nesting material and several body fluids not only correlate with less home cage aggression, but with more affiliative allo-grooming behavior. To date, these compounds have not been tested for a direct influence on male mouse social behavior. This study aimed to determine if 4 previously identified volatile compounds impact home cage interactions. A factorial design was used with cages equally split between C57BL/6N and SJL male mice (N = 40). Treatments were randomly assigned across cages and administered by spraying one compound solution on each cage&rsquo;s nesting material. Treatments were refreshed after day 3 and during cage change on day 7. Home cage social behavior was observed throughout the study week and immediately after cage change. Several hours after cage change, feces were collected from individual mice to measure corticosterone metabolites as an index of social stress. Wound severity was also assessed after euthanasia. Measures were analyzed with mixed models. Compound treatments did not impact most study measures. For behavior, SJL mice performed more aggression and submission, and C57BL/6N mice performed more allo-grooming. Wound severity was highest in the posterior region of both strains, and the middle back region of C57BL/6N mice. Posterior wounding also increased with more observed aggression. Corticosterone metabolites were higher in C57BL/6N mice and in mice treated with 3,4-dimethyl-1,2-cyclopentanedione with more wounding. These data confirm previous strain patterns in social behavior and further validates wound assessment as a measure of escalated aggression. The lack of observed treatment effects could be due to limitations in the compound administration procedure and/or the previous correlation study, which is further discussed.&lt;/p&gt;
description: Dataset from assessment of volatile organic compounds (VOC) found in male mouse secretions on social behavior
DOI: 10.4231/32md-db04
title: Collection of tweets related to QAnon hashtags

description: &lt;p&gt;Dataset includes tweets and relevant metadata scraped from Twitter.com focused on hashtags used by advocates of the QAnon conspiracy theory. QAnon is a far-right conspiracy promulgated across social media. It began in October 2017 when a shadowy operative claiming to be a Q-level intelligence agent within the Trump administration began leaking information of a global conspiracy by an elite group of Satanic pedophiles in Hollywood and the U.S. government. According to Q, Trump was about to expose the conspiracy in a cataclysmic event known as the Storm, and QAnon quickly gained traction on social media, including Twitter. After the January 6th riot, many accounts were removed from Twitter who espoused QAnon ideologies. This dataset captures the Twitter conversation leading up to the November elections and the January 6th riot.&lt;/p&gt;
description: Collection of 526,843 tweets with QAnon hashtags scraped between July 2020 and May 2021, capturing a snapshot of the months leading up to and following the 2020 Elections and the January 6th Capitol riot.
DOI: 10.4231/c6e8-jm62
title: Collection of tweets related to the "Dark MAGA" hashtag

description: &lt;p&gt;Tweets were scraped using Martin Hawksey&#39;s Twitter Archiving Google Sheets (&lt;a href="https://tags.hawksey.info/"&gt;read more here&lt;/a&gt;). Hashtags selected included #DarkMAGA, #darkMAGA, and #darkmaga. This collection of tweets includes posts discussing various aspects of the Dark MAGA movement, including both advocates for and attacks on the movement. Dark MAGA is a far-right social media phenomenon focused on President Trump&#39;s 2024 reelection campaign featuring violent imagery and revenge fantasies regarding the allegedly stolen 2020 elections..&lt;/p&gt;
description: Collection of 1,700 tweets related to the Dark MAGA movement, scraped from Twitter from April 2022 to November 2022, leading up to the 2022 Midterm Elections. Dark MAGA is a particular aesthetic related to far-right political movements.
DOI: 10.4231/9647-tv41
title: Biases in U.S. severe convective storm environmentsdriven by biases in mean state near-surface moist static energy across CMIP6 models

description: &lt;p&gt;This database provides data (in NetCDF format) and code for reproducing figures in the manuscript of Chavas&amp;Li (2022), with the abstract of the manuscript described below.&lt;/p&gt;

&lt;p&gt;Abstract: &quot;This work evaluates how well Coupled Model Intercomparison Project 6 (CMIP6) models reproduce the climatology of North American SCS environments in ERA5 reanalysis and examines what drives biases across models. Biases in spring SCS environments vary widely in magnitude and spatial pattern, though most models do well in reproducing the climatological pattern and a few (MPI and CNRM) also reproduce the overall magnitude. SCS biases are driven by biases in extreme convective available potential energy. These biases are ultimately found to be driven by biases in mean-state near-surface moist static energy (MSE), indicating that the SCS environments depend strongly on the near-surface mean state. Results are similar for fall, but not summer or winter when free-tropospheric biases are also important. Biases differ strongly across parent models but weakly across child models of the same parent. These outcomes help identify models well-suited for studying climate effects on SCS environments.&quot;&lt;/p&gt;
description: This database provides data (in NetCDF format) and code for reproducing figures in the manuscript of Chavas&Li (2022).
DOI: 10.15468/dl.wh3rty
title: Occurrence Download

description: A dataset containing 1351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Argynnis laodice",
 "Year 2000-2024"
 ]
}

 The dataset includes 1351 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059526-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgja33
title: Occurrence Download

description: A dataset containing 1319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetraclinis articulata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1319 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059527-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/h7zj-6j45
title: Water vapor stable isotope memory effects of common tubing materials

description: &lt;p&gt;Water molecules in vapor exchange with water molecules sticking to surfaces of sampling tubing, and exchange rates are unique for each isotopologue and tubing material. Therefore, tubing walls take some time to reach isotopic equilibrium with a new vapor isotopic signal, creating a memory effect observed as attenuation time for signal propagation in continuous laser-based stable water vapor isotope measurement systems. Memory effects in &delta;D and &delta;18O measurements can limit the ability to observe fast changes, and because &delta;D and &delta;18O memory are not identical, this introduces transient deuterium excess (D-excess, defined as &delta;D &ndash; 8* &delta;18O) artifacts in time-varying observations. A comprehensive performance comparison of commonly-used tubing material water exchange properties has not been published to our knowledge. We compared how a large isotopic step change propagated through five tubing materials, PFA, FEP, PTFE, HDPE, and copper, at two different temperatures and an air flow rate of 1.1 L min-1 through approximately 100 feet (~30.5 m) of 1/4 inch (6.35 mm) outer diameter (OD) tubing. All tubing materials performed similarly to each other in terms of attenuation times regardless of temperature. While inner diameter and length of tubing affect lag times of signal propagation, they don&rsquo;t change the shape of the attenuation curve or the attenuation times. This indicates that the speed of isotopic equilibrium of the tubing walls can be described as a first order chemical reaction controlled by the concentration of reactive surface sites rather than the total number of sites. Likewise, use of a high-surface area particle filter at this air flow rate did not affect the speed of the isotopic signal attenuation. However, the addition of a mass flow meter did affect the speed of the attenuation, and we recommend investigating the influence of similar devices during measurement inlet and system design. Our results show that plastic tubing materials are not inferior to copper in terms of isotopic memory under these conditions, and they are easier to work with and are less expensive than copper. Users are still advised to maximize air flow rates through both analyzer and tubing to minimize memory effects especially when accurate time-varying deuterium-excess measurements are required.&lt;/p&gt;
description: Attenuation times were quantified during laboratory experiments testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper) at two different temperatures.
DOI: 10.7281/t1nmq2ra
title: Data and code associated with the publication: Increased vulnerability to noise exposure of low spontaneous rate type 1C spiral ganglion neuron synapses with inner hair cells

description: Dataset contains extracted ABR waveform data (Threshold, wave amplitudes and latencies).
Dataset contains raw confocal images, Imaris (Bitplane) analysis and extracted counts of structures of interest.
Dataset contains analysis code in R software.
DOI: 10.15468/dl.ve9kgf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pitar elatus, Pitaria elata, Venus cor)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059528-251120083545085/datasets/export for details.
DOI: 10.15468/dl.w4qvkf
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lupinus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059531-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufkzap
title: Occurrence Download

description: A dataset containing 5802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia zebrina",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5802 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059529-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.989nv4
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Armeria elongata",
 "Year 2000-2024"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059530-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3eytd
title: Occurrence Download

description: A dataset containing 603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Bartramia pomiformis",
 "Year 2000-2024"
 ]
}

 The dataset includes 603 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059532-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17981909
title: Curriculum Learning Log — Chapter 8

description: In Chapter 8, I learned that systems surprise even intelligent, well-intentioned people not because they are incapable, but because systems behave differently than human intuition expects.
DOI: 10.5281/zenodo.17981910
title: Curriculum Learning Log — Chapter 8

description: In Chapter 8, I learned that systems surprise even intelligent, well-intentioned people not because they are incapable, but because systems behave differently than human intuition expects.
DOI: 10.15468/dl.ck8yjd
title: Occurrence Download

description: A dataset containing 22613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thymelaea hirsuta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22613 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059533-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jun536
title: Occurrence Download

description: A dataset containing 2824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.32_1",
 "TaxonKey is Aspidoscelis neomexicanus"
 ]
}

 The dataset includes 2824 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059534-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68padh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penstemon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059536-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.884syr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pitar helenae)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059537-251120083545085/datasets/export for details.