cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15483/2585079
title: 2017 Puget Sound Regional Travel Study

description: # 2017 Puget Sound Regional Travel Study
The 2017 Puget Sound Regional Travel Study collected household- and person-level activity and travel pattern information from residents throughout the Puget Sound Regional Council's four-county region in Washington State.

It followed the [2014-2015 Puget Sound Regional Travel Study](https://www.nrel.gov/transportation/secure-transportation-data/tsdc-puget-sound-travel-study), starting a planned six-year data collection that includes 2019 and 2021. The multiyear program's goal is to maintain an updated source of household travel behavior data that:

- Supports modeling and planning needs
- Facilitates trend analysis over time
- Allows for regular study design updates to integrate evolving data collection methods and emerging travel behaviors and transportation issues.

## Data Collection Agency
The Puget Sound Regional Council conducted the study.

## Methodology
The 2017 study featured both the design and administration of a one-day household travel diary (approximately 80% of households before data cleaning) and a seven-day smartphone global positioning system (GPS) diary (approximately 20% of households before data cleaning). It combined data collection methods, including smartphone, online, and telephone. The survey design included several stages to recruit and collect data about households, their members, and their travel behaviors during the assigned travel period.

## Survey Records
Survey records include a total of 6,254 participants.

## More Information
For more information, see the [survey documentation](https://www.nrel.gov/media/docs/libraries/tsdc/zip/tsdc-2017-puget-sound-travel-study-documentation.zip?sfvrsn=45991f2f_1).

## Transportation Data
The data set contains a demographic and socioeconomic composition of 6,254 people from 3,285 households in the Puget Sound regional area, as well as detailed information on the travel behavior of each household for a designated 24-hour period. The survey logged over 508 thousand vehicle miles of travel by participants during 52,492 trips.

Transportation data are available as zipped files. [Download Winzip](http://www.winzip.com/downwz.htm).
DOI: 10.15483/2585080
title: 2019 and 2022 Twin Cities Travel Behavior Inventory Surveys

description: # 2019 and 2022 Twin Cities Travel Behavior Inventory Surveys
To help local and regional planning agencies understand shifting demographics and travel patterns, surveys were conducted in Minnesota’s greater Twin Cities region in 2019 and 2022.

Survey results aided the Metropolitan Council in proposing practical transportation investments, preparing competitive grant applications, and prioritizing improvements to best fit regional needs.

## Data Collection Agency
RSG conducted the surveys for the Metropolitan Council.

## Survey Methodology
These mixed-mode surveys focused on bus, rail, car, micromobility, ride-hailing, and walking. Designed as household travel surveys, they were carried out in English, Spanish, Karen, Oromo, Somali, and Hmong during two timeframes: Oct. 1, 2018—Sept. 30, 2019 and June 22, 2021—Feb. 5, 2022. Participants accessed the surveys using a smartphone-based app, website, or call center.

A questionnaire captured data about demographics, daily travel activities, and typical transportation patterns to inform model updates and gain information about emerging behavioral changes such as electric vehicle adoption and teleworking frequency. It also addressed the impacts of COVID-19 on participants’ typical travel behavior.

## Survey Records, Data, and Documentation
Survey records include a total of 31,251 participants—16,152 participants from 7,837 households during the 2019 survey and 15,099 participants from 7,952 households during the 2022 survey.
DOI: 10.22002/g567x-dc580
title: E.coli   "strain 2748"

description: UU 2748 tsr-E248Lkinase off
description: <strong>Tilt Series Date:</strong> 2012-04-04</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> RP 437</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-63.0°, 63.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 34000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> John S. Parkinson</p>
<strong>Purification / Growth Conditions / Treatment:</strong> grown in TB at 30 degrees, lysed with Penicillin for one hour</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2012-04-04-18/rawdata/</p>UU2748manual2.mrc,  Tilt Series (Pixel Size 0.644 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2012-04-04-18/rawdata/UU2748manual2.mrc"
        > <i class="download icon"></i> Download </a></p>

        UU2748manual2_part128_68.rec,  Reconstruction (Pixel Size 1.288 nm), 516.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2012-04-04-18/3dimage_18206/UU2748manual2_part128_68.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2585081
title: 2022 Central California Travel Study

description: # 2022 Central California Travel Study
The 2022 Central California Travel Study collected demographic and travel pattern information to better understand household travel behavior in the state’s San Joaquin Valley region.

## Data Collection Agency
The Fresno Council of Governments conducted the household travel study in collaboration with metropolitan planning organizations in Fresno, Kern, Kings, Madera, Merced, San Joaquin, Stanislaus, and Tulare counties in California.

## Survey Methodology
The two-part study consisted of a survey and a travel diary. The survey gathered data on household demographic composition and typical travel behaviors. The travel diary gathered individual travel data during a specified travel period for all members of a given household.

## Travel Diary Methods
Households with smartphones were encouraged to complete their travel diaries using the rMove smartphone app for up to seven consecutive days. Households without smartphones or those unwilling to participate via smartphone completed their travel diaries online (using the web-version of rMove) or by calling the survey call center. These households reported travel for one day (Tuesday, Wednesday, or Thursday).

## Recruitment Sampling Methods
The majority of the recruitment was conducted via address-based sampling, a type of probability sampling, with a focus on reaching county-level targets in collaboration with metropolitan planning organizations in the region.

Supplemental sampling methods, primarily non-probability, were employed during all waves of data collection to improve survey representation. The supplemental sample included targeted outreach to hard-to-survey populations via transit rider email lists; local housing authorities; Nichols Research, a California-based market research firm; and the Ipsos™ KnowledgePanel, an online random probability panel.

See the documentation for more information about sampling and weighting.

## Survey Records, Data, and Documentation
In total, 7,406 households completed 19,084 surveys representing 150,012 trips across 42,567 person-days.
DOI: 10.15483/2585082
title: 2022 Kauai Ground Transportation Survey

description: # 2022 Kauai Ground Transportation Survey
The 2022 Kauai Ground Transportation Survey was designed to improve understanding of the transportation preferences of residents and visitors of the Hawaiian island of Kauai.

For residents of Kauai, the survey focused on mode-choice decisions for commute, leisure, and shopping activities and whether they would consider using alternative modes instead of driving if such options were available. For visitors, the survey focused on whether they would consider alternatives to rental cars if such options were available. Ultimately, survey results will inform the development of sustainable transportation strategies for the island.

## Data Collection Agency
NREL and the Kauai Office of Economic Development conducted the study as part of the U.S. Department of Energy's Energy Transitions Initiative Partnership Project.

## Survey Methodology
The survey was conducted July—October 2022. Respondents were recruited via direct email invitation, a press release on the Kauai County website and Facebook page, and posters at community outreach events.

## Survey Records, Data, and Documentation
Survey records include 1,437 participants.
DOI: 10.15483/2585083
title: 2022 National Household Travel Survey - Oahu Add-On

description: # 2022 National Household Travel Survey – Oahu Add-On
The Oahu add-on survey supplements the 2022 National Household Travel Survey (NHTS) with additional household samples and detailed travel behavior for an assigned travel day.

## Data Collection Agency
The Federal Highway Administration conducted the NHTS and corresponding add-on surveys.

## Survey Methodology
The 2022 NHTS, which covered assigned travel dates from January 2022 to January 2023, collected data on the demographic and socioeconomic composition of households as well as detailed information on travel behavior nationwide.

State transportation departments and metropolitan planning agencies—like the Oahu Metropolitan Planning Organization—had the opportunity to purchase extra household samples as part of the NHTS add-on program. These additional samples, along with national samples collected in the add-on areas, are compiled for use in transportation planning, forecasting, and research.

## Survey Records, Data, and Documentation
Survey records include 7,397 participants from 3,170 households in Oahu, Hawaii, as well as detailed information on the travel behavior of each household for a designated 24-hour period. The survey logged over 14,868 trips totaling 165,000 vehicle miles traveled.
DOI: 10.22002/c0w6j-3br09
title: sporulating MJ007 349

description: MJ007 349
description: <strong>Tilt Series Date:</strong> 2009-09-27</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Bacillus subtilis </p>
<strong>Strain:</strong> JFG349, ponA null, SpoIIIE73-11-GFP</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> uploadraptor</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Purification / Growth Conditions / Treatment:</strong> sporulation medium</p>
<strong>Sample Preparation:</strong> quantifoil grid R2/2, 20nm gold, 100% humidity</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2009-09-27-3/rawdata/</p>09sep27b_et-pos2_010.mrc,  Tilt Series (Pixel Size 0.95 nm), 1.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2009-09-27-3/rawdata/09sep27b_et-pos2_010.mrc"
        > <i class="download icon"></i> Download </a></p>

        09sep27b_et-pos2_010_full.rec,  Reconstruction (Pixel Size 1.9 nm), 838.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2009-09-27-3/3dimage_25821/09sep27b_et-pos2_010_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2585084
title: 2022 Next-Generation National Household Travel Survey - Origin-Destination Data Addendum for the Oahu Region

description: # 2022 Next-Generation National Household Travel Survey – Origin-Destination Data Addendum for the Oahu Region
The 2022 Next-Generation National Household Travel Survey – Origin-Destination Data Addendum for the Oahu Region covers the Hawaiian island of Oahu and five counties in surrounding islands.

An addendum to the nationwide version of the study conducted in 2019, this regional survey provided additional information and spatial granularity about people’s movements to, from, and within the areas under study.

## Data Collection Agency
The survey was conducted for the Oahu Metropolitan Planning Organization.

## Survey Methodology
Data were collected in two zones: the core area (census blocks in the island of Oahu) and the halo area (five counties in adjacent Hawaiian islands).

All trips were assigned an origin zone and a destination zone, as well as a travel mode, purpose, and distance. Sociodemographic information related to age, income, and gender was also collected.

## Survey Records, Data, and Documentation
Survey records include 1,154,167,619 trips.
DOI: 10.15468/dl.7shk7d
title: Occurrence Download

description: A dataset containing 309475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Thraupis episcopus"
 ]
}

 The dataset includes 309475 records from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047024-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9ktxw
title: Occurrence Download

description: A dataset containing 1733 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birds collection of Abiko City Museum of Birds"
 ]
}

 The dataset includes 1733 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011388-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk2qn3
title: Occurrence Download

description: A dataset containing 57909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "Geometry POLYGON((110.71283 46.31484,120.20493 46.31484,120.20493 50.11005,110.71283 50.11005,110.71283 46.31484))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2008-2025"
 ]
}

 The dataset includes 57909 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044280-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r474ts
title: Occurrence Download

description: A dataset containing 5598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.9 30.83,112.67 30.83,112.67 34.98,102.9 34.98,102.9 30.83))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Coeloglossum viride, Corylus chinensis, Cryptomeria japonica, Rhododendron sutchuenense, Actinidia polygama, Dryopteris tokyoensis, Davidia involucrata, Cupressus funebris, Paris polyphylla, Platycladus orientalis, Ginkgo biloba, Cypripedium japonicum, Tsuga chinensis, Cypripedium flavum, Actinidia tetramera, Dioscorea nipponica, Sinowilsonia henryi, Taxus chinensis, Actinidia chinensis, Acer griseum)"
 ]
}

 The dataset includes 5598 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044314-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12608.60166
title: C-01_Performance and Knowledge Management_RPS_dan_Introduction
DOI: 10.15468/dl.e77xet
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.2688 26.54913, -111.1188 26.54913, -111.1188 26.69913, -111.2688 26.69913, -111.2688 26.54913))"
 ]
}

 The dataset includes 206 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044316-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/x6c9-aq71
title: "Survival Analysis Dataset for automobile IDS"

description: "This dataset, titled \"Survival Analysis Dataset for automobile IDS,\" was created to support the research in the following paper: Han, Mee Lan, Byung Il Kwak, and Huy Kang Kim. \"Anomaly intrusion detection method for vehicular networks based on survival analysis.\" Vehicular Communications 14 (2018): 52-63.The paper proposes an intrusion detection method for vehicular networks based on the survival analysis model. Our main aims were to identify malicious CAN messages and accurately detect the normality and abnormality of a vehicle network without semantic knowledge of the CAN ID function.The collection contains normal and abnormal driving data extracted from three different types of vehicles. The dataset evaluates the performance of the proposed method by considering three attack scenarios and the periodic characteristics of CAN IDs. The methodology focuses on the survival rate of an individual CAN ID in a defined chunk unit.The abnormal traffic includes data generated under three critical attack scenarios aimed at the Controller Area Network (CAN) bus:Flooding attackFuzzy attackMalfunction attack"
DOI: 10.13140/rg.2.2.26030.37447
title: C02_PERFOMANCE AND KNOWLEDGE MANAGEMENT Criterion Theory and Development
DOI: 10.15468/dl.sfgsw2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Subulicystidium obtusisporum"
 ]
}

 The dataset includes 11 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044318-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xygax2
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.1188 26.54913, -110.9688 26.54913, -110.9688 26.69913, -111.1188 26.69913, -111.1188 26.54913))"
 ]
}

 The dataset includes 377 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044317-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.10511.44965
title: C03_Performance & Knowledge Management_PERFORMANCE APPRAISAL AND FEEDBACK
DOI: 10.34740/kaggle/dsv/13787899
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.35x8te
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.9688 26.54913, -110.8188 26.54913, -110.8188 26.69913, -110.9688 26.69913, -110.9688 26.54913))"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044319-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30655190
title: Supplementary Material for: Helicobacter pylori infection is associated with leukoaraiosis without lesion location correlation

description: Background: Leukoaraiosis, common focal lesions, are associated with cognitive impairment, gait abnormalities and depression. Helicobacter pylori is an intragastric pathogen that has been implicated in extraintestinal disease. This study explored the relationship between leukoaraiosis and Helicobacter pylori infection, and analyzed the Helicobacter pylori infection in different white matter lesion sites.
Method: A total of 350 patients underwent cranial MRI and Helicobacter pylori testing. Patients were divided into leukoaraiosis group (n=149) and non-leukoaraiosis group (n=201), with basic information collected and leukoaraiosis locations recorded based on FLAIR images in MRI. Basic characteristics were compared between the two groups and a multivariate logistic regression model was used to identify independent risk factors for leukoaraiosis.
Results: Patients with leukoaraiosis were older (P=0.009) and had a higher proportion of smoking (P=0.032) and hypertension (P&lt; 0.0001) compared to those without leukoaraiosis. Helicobacter pylori infection was more prevalent in the leukoaraiosis group (P&lt; 0.0001). However, the distribution of Helicobacter pylori infection across different lesion sites did not differ significantly (P=0.839).
Conclusion: Helicobacter pylori infection is associated with leukoaraiosis, possibly through mechanisms such as chronic inflammatory responses, blood-brain barrier damage, and vascular endothelium damage. Nevertheless, no variation in Helicobacter pylori infection was observed among different cerebral white matter lesion locations. Future prospective studies are warranted to validate these findings.
DOI: 10.6084/m9.figshare.30655190.v1
title: Supplementary Material for: Helicobacter pylori infection is associated with leukoaraiosis without lesion location correlation

description: Background: Leukoaraiosis, common focal lesions, are associated with cognitive impairment, gait abnormalities and depression. Helicobacter pylori is an intragastric pathogen that has been implicated in extraintestinal disease. This study explored the relationship between leukoaraiosis and Helicobacter pylori infection, and analyzed the Helicobacter pylori infection in different white matter lesion sites.
Method: A total of 350 patients underwent cranial MRI and Helicobacter pylori testing. Patients were divided into leukoaraiosis group (n=149) and non-leukoaraiosis group (n=201), with basic information collected and leukoaraiosis locations recorded based on FLAIR images in MRI. Basic characteristics were compared between the two groups and a multivariate logistic regression model was used to identify independent risk factors for leukoaraiosis.
Results: Patients with leukoaraiosis were older (P=0.009) and had a higher proportion of smoking (P=0.032) and hypertension (P&lt; 0.0001) compared to those without leukoaraiosis. Helicobacter pylori infection was more prevalent in the leukoaraiosis group (P&lt; 0.0001). However, the distribution of Helicobacter pylori infection across different lesion sites did not differ significantly (P=0.839).
Conclusion: Helicobacter pylori infection is associated with leukoaraiosis, possibly through mechanisms such as chronic inflammatory responses, blood-brain barrier damage, and vascular endothelium damage. Nevertheless, no variation in Helicobacter pylori infection was observed among different cerebral white matter lesion locations. Future prospective studies are warranted to validate these findings.