cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15483/2584981
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: 10.15483/2584983
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: 10.15483/2584984
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: 10.22002/61ttj-9qy11
title: Campylobacter jejuni

description: Session notes: Titan Krios dataset Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2012-08-29</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Campylobacter jejuni</p>
<strong>Strain:</strong> subsp. jejuni 81116</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (0.0°, 0.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: 15.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
  mba2012-08-29-15_slicer4239.jpg: Flagella motor mba2012-08-29-15_slicer4241.jpg: Vesicle mba2012-08-29-15_slicer4242.jpg: Granules mba2012-08-29-15_slicer4251.jpg: Flagella motor
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-08-29-15/3dimage_23179/</p>CJejuni_Tomo_3.rec,  Reconstruction (Pixel Size 0.5797 nm), 653.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-08-29-15/3dimage_23179/CJejuni_Tomo_3.rec"
        > <i class="download icon"></i> Download </a></p>

        CJejuni_Tomo_3.st,  Tilt Series (Pixel Size 0.512 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-08-29-15/rawdata/CJejuni_Tomo_3.st"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2584985
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: 10.15468/dl.gx797p
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Diplazium herbaceum"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047042-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/g13f4-dxy70
title: Salmonella typhimurium

description: Session notes: Salmonella fliL minicells with T3SS Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2012-09-19</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Salmonella typhimurium</p>
<strong>Strain:</strong> serovar Typhimurium str. LT2</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: -1.5°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: 5.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
  mba2012-09-19-19_slicer4491.jpg: Flagella mba2012-09-19-19_slicer4493.jpg: Flagella mba2012-09-19-19_slicer4495.jpg: Nucleoid
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-09-19-19/rawdata/</p>12sep19a_fliL_0029.st,  Tilt Series (Pixel Size 0.512 nm), 636.0 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-09-19-19/rawdata/12sep19a_fliL_0029.st"
        > <i class="download icon"></i> Download </a></p>

        12sep19a_fliL_0029.rec,  Reconstruction (Pixel Size 1.12 nm), 353.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-09-19-19/3dimage_23121/12sep19a_fliL_0029.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2584986
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: 10.15483/2584987
title: 2023 University of Puerto Rico at Mayagüez National Institute for Congestion Reduction Study

description: # 2023 University of Puerto Rico at Mayagüez National Institute for Congestion Reduction Study
The 2023 University of Puerto Rico at Mayagüez National Institute for Congestion Reduction (NCIR) Study provided insight into the travel patterns and associated energy consumption of participants.

Study results helped researchers identify opportunities for the development of policies that could incentivize the use of alternative modes of travel such as transit and micromobility. Such travel modes reduce congestion by reducing the miles traveled by privately owned vehicles in urban and rural areas.

The [National Institute for Congestion Reduction](https://nicr.usf.edu/) provides multimodal congestion reduction strategies through real-world deployments that leverage advances in technology, big data science, and innovative transportation options to optimize the efficiency and reliability of the transportation system for all users.

## Data Collection Agency
The University of Puerto Rico at Mayagüez conducted the study.

## Survey Methodology
The study was conducted in Spanish.

Data collection was enabled via the open-source [NREL OpenPATH platform](https://www.nrel.gov/transportation/openpath). The resulting dataset consists of partially automated travel diaries—combining sensed and surveyed data reflecting patterns of multimodal, end-to-end, individual human mobility—as well as demographic and socioeconomic information from the 17 participants.

## Survey Records, Data, and Documentation
Study records include 17 participants. The total number of trips was 458 and total non-air-miles traveled was approximately 1,469.
DOI: 10.22002/b1k4a-rk761
title: Vibrio fischeri

description: Session notes: Vibrio fischeri flgP-deletion flagella, binned 4x total then filtered 0.28 (= 4.6nm resolution cutoff) Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2011-12-18</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Vibrio fischeri</p>
<strong>Strain:</strong> ES114</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: 10.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
  mba2011-12-18-1_slicer5561.jpg: Pilli mba2011-12-18-1_slicer5563.jpg: Secretion system mba2011-12-18-1_slicer5564.jpg: Extracellular vesicle .  Peptidoglycan mba2011-12-18-1_slicer5567.jpg: REZ
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2011-12-18-1/rawdata/</p>11dec18a_DflgPVFisheri_0001.st,  Tilt Series (Pixel Size 0.632 nm), 1.1 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        11dec18a_DflgPVFisheri_0001.rec,  Reconstruction (Pixel Size 0.644 nm), 86.6 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2584988
title: 2024 University of Puerto Rico at Mayagüez Civic Innovation Challenge Study

description: # 2024 University of Puerto Rico at Mayagüez Civic Innovation Challenge Study
The 2024 University of Puerto Rico at Mayagüez Civic Innovation Challenge (CIVIC) Study provided insight into the travel patterns and associated energy consumption of participants.

Study results helped researchers identify opportunities for the development of shared mobility strategies—such as collaborative ride-sharing programs—that could address the mobility needs of rural communities in Puerto Rico.

The Civic Innovation Challenge is a multiagency, federal government research and action competition that funds ready-to-implement, research-based pilot projects that have the potential for scalable, sustainable, and transferable impact on community-identified priorities.

## Data Collection Agency
The University of Puerto Rico at Mayagüez conducted the study.

## Survey Methodology
The study was conducted in Spanish.

Data collection was enabled via the open-source [NREL OpenPATH platform](https://www.nrel.gov/transportation/openpath). The resulting dataset consists of partially automated travel diaries—combining sensed and surveyed data reflecting patterns of multimodal, end-to-end, individual human mobility—as well as demographic and socioeconomic information from the 31 participants.

## Survey Records, Data, and Documentation
Survey records include 31 participants. The total number of trips was 1,373 and the total non-air-miles traveled was approximately 8,260.
DOI: 10.22002/kswaj-0re65
title: Campylobacter jejuni

description: Session notes: Auto-reconstruct 0.28, 0.025; auto-erase golds; SIRT reconstruction Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2012-04-22</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Campylobacter jejuni</p>
<strong>Strain:</strong> subsp. jejuni 81116</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: 1.5°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: 15.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
  mba2012-04-22-10_slicer5749.jpg: Pilli mba2012-04-22-10_slicer5751.jpg: REZ and granules mba2012-04-22-10_slicer5753.jpg: Filament mba2012-04-22-10_slicer5757.jpg: Filaments mba2012-04-22-10_slicer5759.jpg: Flat vesicle mba2012-04-22-10_slicer5762.jpg: Filaments
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-04-22-10/rawdata/</p>12apr22a_cjj0276_0026.st,  Tilt Series (Pixel Size 0.774 nm), 743.2 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        12apr22a_cjj0276_0026.rec,  Reconstruction (Pixel Size 1.56 nm), 200.0 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/n318c-38z45
title: Alongum

description: Alongum_lysozyme
description: <strong>Tilt Series Date:</strong> 2012-05-20</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Acetonema longum</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-30.0°, 30.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Acquisition Software:</strong> UCSF tomo</p>
<strong>Upload Method:</strong> uploadraptor</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> WesleyChen helped remove layers</p>
<strong>Purification / Growth Conditions / Treatment:</strong> sporulation media</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/etl2012-05-20-105/rawdata/</p>ecolilys20006.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/etl2012-05-20-105/rawdata/ecolilys20006.mrc"
        > <i class="download icon"></i> Download </a></p>

        ecolilys20006_part122_22.rec,  Reconstruction (Pixel Size 1.95 nm), 1.0 GB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.15483/2584990
title: Baseline vs. DER Scenario

description: Projections and associated uncertainty estimates are generated for a variety of user-selectable EV charging sessions, electricity tariffs, subsidy levels, revenue schemes, charging station configurations, and on-site solar and/or storage options. The outputs are presented in CHIP's web portal browser in the form of easily interpretable graphics (interactive graphs and bar charts) that facilitate convenient comparison among different scenarios to aid decision-making. The user should bring assumptions for modeling on simulation planning horizon, number of EV charging sessions per year, electricity costs (energy and demand charge rates; flat versus time-of-use rate), site capital costs (equipment for EV chargers and transformer), solar PV, and battery energy storage (kW).
DOI: 10.22002/zx552-k8p12
title: Project: storage_granules

description: Session notes:  Tilt series of intact R. eutropha cells from for 5hrs in minimal media. Tilt series notes: A number of decent sized granules in an intact bug. Tomogram notes: Large number of granules. Septation in process. Nothing else obvious.
description: <strong>Tilt Series Date:</strong> 2009-03-27</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Cupriavidus necator</p>
<strong>Strain:</strong> H16</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-61.0°, 61.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -12.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod</p>
  mba2009-03-27-33_slicer5644.jpg: Dividing mba2009-03-27-33_slicer5645.jpg: REZ mba2009-03-27-33_slicer5646.jpg: Extracellular vesicle mba2009-03-27-33_slicer5648.jpg: Extracellular vesicle mba2009-03-27-33_slicer5649.jpg: Tube
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2009-03-27-33/rawdata/</p>09mar27a_b240_1_004.st,  Tilt Series (Pixel Size 0.95 nm), 1.0 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        09mar27a_b240_1_004.rec,  Reconstruction (Pixel Size 1.9 nm), 201.6 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/a6r73-pha26
title: Alongum

description: Alongum_lysozyme
description: <strong>Tilt Series Date:</strong> 2012-05-20</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Acetonema longum</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-30.0°, 30.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Acquisition Software:</strong> UCSF tomo</p>
<strong>Upload Method:</strong> uploadraptor</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> WesleyChen helped remove layers</p>
<strong>Purification / Growth Conditions / Treatment:</strong> sporulation media</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/etl2012-05-20-99/rawdata/</p>ecolilys0004.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/etl2012-05-20-99/rawdata/ecolilys0004.mrc"
        > <i class="download icon"></i> Download </a></p>

        ecolilys0004_part122_35.rec,  Reconstruction (Pixel Size 1.95 nm), 1.0 GB  
        
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        > <i class="download icon"></i> Download </a></p>