cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11209837
title: DCASE 2024 Challenge Task 10 Evaluation Dataset: Acoustic-based Traffic Monitoring

description: Directory structure:

locX.zip|----- test [test flac files inside]

 

NOTE: We split zip files for large size folders (i.e., loc1, loc3, loc6). Please make sure to download all splits before unzipping the data! For example, run 

zip -s 0 loc6.zip --out unsplit-loc6.zip

unzip unsplit-loc6.zip

in your terminal once you have downloaded loc6.z01, loc6.z02 and loc6.zip.

 

Contact:

If there is any question, please contact:



Luca Bondi: luca (dot) bondi@us (dot) bosch (dot) com

Shabnam Ghaffarzadegan: shabnam (dot) ghaffarzadegan@us (dot) bosch (dot) com

Wei-Cheng (Winston) Lin: wei-cheng (dot) lin@us (dot) bosch (dot) com


 

Acknowledgement:

This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956962 and from the European Research Council under the European Union's Horizon 2020 research and innovation program / ERC Consolidator Grant: SONORA (no. 773268). This work reflects only the authors' views and the Union is not liable for any use that may be made of the contained information.
DOI: 10.5281/zenodo.11209838
title: DCASE 2024 Challenge Task 10 Evaluation Dataset: Acoustic-based Traffic Monitoring

description: Directory structure:

locX.zip|----- test [test flac files inside]

 

NOTE: We split zip files for large size folders (i.e., loc1, loc3, loc6). Please make sure to download all splits before unzipping the data! For example, run 

zip -s 0 loc6.zip --out unsplit-loc6.zip

unzip unsplit-loc6.zip

in your terminal once you have downloaded loc6.z01, loc6.z02 and loc6.zip.

 

Contact:

If there is any question, please contact:



Luca Bondi: luca (dot) bondi@us (dot) bosch (dot) com

Shabnam Ghaffarzadegan: shabnam (dot) ghaffarzadegan@us (dot) bosch (dot) com

Wei-Cheng (Winston) Lin: wei-cheng (dot) lin@us (dot) bosch (dot) com


 

Acknowledgement:

This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956962 and from the European Research Council under the European Union's Horizon 2020 research and innovation program / ERC Consolidator Grant: SONORA (no. 773268). This work reflects only the authors' views and the Union is not liable for any use that may be made of the contained information.
DOI: 10.15468/dl.3n4epp
title: Occurrence Download

description: A dataset containing 76930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calamagrostis arenaria (L.) Roth",
 "Year 2000-2024"
 ]
}

 The dataset includes 76930 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114870-240626123714530/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.26927845
title: Figshare_test_tab_KD.xlsx

description: This is a file to test figshare with a non-code addition.
DOI: 10.6084/m9.figshare.26927845.v1
title: Figshare_test_tab_KD.xlsx

description: This is a file to test figshare with a non-code addition.
DOI: 10.15468/dl.frumr8
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (Sistemática e historia natural de algunos anfibios y reptiles de México, UAZ Herpetology Collection, Anfibios y reptiles de las regiones 30 (Parque Natural Sierra Maderas del Carmen); 31 (Sierra El Burro-Río San Rodrigo); 36 (Sierra La Encantada); y 37 (Sierra El Pino), Coahuila, Anfibios y reptiles de las regiones 30 (Parque Natural Sierra Maderas del Carmen); 31 (Sierra El Burro-Río San Rodrigo); 36 (Sierra La Encantada); y 37 (Sierra El Pino), Coahuila, LACM Vertebrate Collection, MVZ Herp Collection (Arctos), Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), CM Herps Collection, CAS Herpetology (HERP))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "PublishingOrg is one of (84d451a0-644d-11de-b910-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 493fe050-055d-11d8-b84f-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862, c1da06f0-580e-11dc-8a9e-b8a03c50a862, 66522820-055c-11d8-b84e-b8a03c50a862)",
 "TaxonKey is Hypsiglena torquata (Günther, 1860)"
 ]
}

 The dataset includes 673 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114874-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hzttd
title: Occurrence Download

description: A dataset containing 6657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus hypochondriacus L."
 ]
}

 The dataset includes 6657 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114871-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10700791
title: DCASE 2024 Challenge Task 10 Development Dataset: Acoustic-based Traffic Monitoring

description: Directory structure:

engine-sounds.zip|----- car [car engine sounds]|----- cv [commercial vehicles engine sounds]

locX.zip|----- meta.json [contains meta information of traffic condition and sensor setup corresponding to the location]|----- train [train flac files inside]|----- train.csv|----- val [val flac files inside]|----- val.csv

simulation.zip|----- locX    |----- car    |    |_____ left [flac files and label csv inside]    |    |_____ right [flac files and label csv inside]    |----- cv         |_____ left [flac files and label csv inside]         |_____ right [flac files and label csv inside]

NOTE: We split zip files for large size folders (i.e., loc1, loc3, loc6). Please make sure to download all splits before unzipping the data! For example, run 

zip -s 0 loc1.zip --out unsplit-loc1.zip

unzip unsplit-loc1.zip

in your terminal once you have downloaded loc1.z01, loc1.z02, loc1.z03 and loc1.zip.

 

Contact:

If there is any question, please contact:



Luca Bondi: luca (dot) bondi@us (dot) bosch (dot) com

Shabnam Ghaffarzadegan: shabnam (dot) ghaffarzadegan@us (dot) bosch (dot) com

Wei-Cheng (Winston) Lin: wei-cheng (dot) lin@us (dot) bosch (dot) com


 

Acknowledgement:

This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956962 and from the European Research Council under the European Union's Horizon 2020 research and innovation program / ERC Consolidator Grant: SONORA (no. 773268). This work reflects only the authors' views and the Union is not liable for any use that may be made of the contained information.
DOI: 10.5281/zenodo.10700792
title: DCASE 2024 Challenge Task 10 Development Dataset: Acoustic-based Traffic Monitoring

description: Directory structure:

engine-sounds.zip|----- car [car engine sounds]|----- cv [commercial vehicles engine sounds]

locX.zip|----- meta.json [contains meta information of traffic condition and sensor setup corresponding to the location]|----- train [train flac files inside]|----- train.csv|----- val [val flac files inside]|----- val.csv

simulation.zip|----- locX    |----- car    |    |_____ left [flac files and label csv inside]    |    |_____ right [flac files and label csv inside]    |----- cv         |_____ left [flac files and label csv inside]         |_____ right [flac files and label csv inside]

NOTE: We split zip files for large size folders (i.e., loc1, loc3, loc6). Please make sure to download all splits before unzipping the data! For example, run 

zip -s 0 loc1.zip --out unsplit-loc1.zip

unzip unsplit-loc1.zip

in your terminal once you have downloaded loc1.z01, loc1.z02, loc1.z03 and loc1.zip.

 

Contact:

If there is any question, please contact:



Luca Bondi: luca (dot) bondi@us (dot) bosch (dot) com

Shabnam Ghaffarzadegan: shabnam (dot) ghaffarzadegan@us (dot) bosch (dot) com

Wei-Cheng (Winston) Lin: wei-cheng (dot) lin@us (dot) bosch (dot) com


 

Acknowledgement:

This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 956962 and from the European Research Council under the European Union's Horizon 2020 research and innovation program / ERC Consolidator Grant: SONORA (no. 773268). This work reflects only the authors' views and the Union is not liable for any use that may be made of the contained information.
DOI: 10.25345/c5x921w6q
title: MassIVE MSV000095751 - GNPS_Actinomycetes_Sudan_positive_mode
title: This dataset is constituted by the UHPLC-HRMS profiles (data dependent acquisition, positive ionisation mode) of EtOAc extracts of 63 actinomycetes strains grown on V8 medium.
DOI: 10.5066/p97y21l1
title: Forest Conditions Following the 2018 Carr Fire at Whiskeytown National Recreation Area

description: This data release provides forest structure information including basal area and stem density by genus and mortality status for overstory and sapling trees in 149 plots in Whiskeytown National Recreation area in California, USA. The data includes forest structure measurements taken before and after the 2018 Carr Fire, a nearly 93,000 hectare wildfire.
DOI: 10.15468/dl.axxdrx
title: Occurrence Download

description: A dataset containing 1341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis indica (Roxb. ex Lindl.) A.DC."
 ]
}

 The dataset includes 1341 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114875-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyvnrd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation)",
 "Country is Italy",
 "TaxonKey is Muscari gussonei (Parl.) Nyman",
 "Year 1970-2020"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114876-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13643806
title: Efficient excitation transfer in an LH2-inspired nanoscale stacked ring geometry

description: The data supporting the findings in the manuscript "Efficient excitation transfer in an LH2-inspired nanoscale stacked ring geometry" are available here.
DOI: 10.15468/dl.ah8agd
title: Occurrence Download

description: A dataset containing 9313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "TaxonKey is Mammuthus primigenius (Blumenbach, 1799)"
 ]
}

 The dataset includes 9313 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114878-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5evhe
title: Occurrence Download

description: A dataset containing 977 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Culex modestus Ficalbi, 1947"
 ]
}

 The dataset includes 977 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114879-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qggsqz
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.58517 53.42488,-5.859 53.42488,-5.859 54.14365,-6.58517 54.14365,-6.58517 53.42488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calidris canutus (Linnaeus, 1758)"
 ]
}

 The dataset includes 585 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114880-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9crxbq
title: Occurrence Download

description: A dataset containing 35358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leymus arenarius (L.) Hochst.",
 "Year 2000-2024"
 ]
}

 The dataset includes 35358 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114877-240626123714530/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.26892826
title: CDA data_Ian Khama_government Facebook posts.docx

description: This dataset comprise all Facebook posts from the Seretse Khama Ian Khama and BWGovernment Facebook pages between 1 May 2018 until 31 December 2022. These Facebook posts relate to the fallout between Ian Khama and Mokgweetsi Masisi.
DOI: 10.15468/dl.eqzn39
title: Occurrence Download

description: A dataset containing 548447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 548447 records from 710 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114869-240626123714530/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.26927869
title: CAV Readiness Inputs.xlsx

description: Connected Autonomous Vehicles (CAVs) are about to hit the roads but an important question is how ready are cities in terms of policies and infrastructure elements required to accommodate CAVs? By developing a holistic index for evaluating readiness for CAVs, this paper establishes the foundation for readiness analysis. The index ranks the readiness of cities based on their soft and cyber infrastructure, pro-CAV policies, hard infrastructure, and other transportation supply and demand measures. We first identify 29 variables that can plausibly foster CAV market penetration. The variables are then combined to develop a single index. In doing so we use two scoring schemes, namely simple and compound schemes. 98 most populated cities of the Contiguous US are ranked, readiest and least-ready cities are introduced, and the results are discussed. By and large, we find that most ranked cities are not ready to welcome CAVs. We find that large cities are currently more prepared than small- and medium-sized cities. However, smaller cities have the potential to become ready even sooner than some large cities if appropriate infrastructure investments are made. We further offer urban planning implications and broader insights that could be of interest to other cities and countries.
DOI: 10.15468/dl.frdssv
title: Occurrence Download

description: A dataset containing 72117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.94233 -60.92239,-110.40027 -69.09517,-106.87119 -77.01486,-72.33416 -81.60777,-52.83744 -82.75772,-25.82057 -80.98336,-34.46445 -59.38086,-62.73336 -57.11769,-104.94233 -60.92239))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Malacostraca"
 ]
}

 The dataset includes 72117 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114881-240626123714530/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.19297601
title: GWAS data

description: The genotype and phenotype of 192 Chinese spring wheat varieties.
DOI: 10.48370/ofd/rkvrnk/6w0wux
title: Kondel Justyna.pdf

description: :unav
DOI: 10.48370/ofd/rkvrnk
title: Porównanie cech morfometrycznych pyłku i nasion brzozy brodawkowatej (Betula pendula) i brzozy omszonej (Betula pubescens).

description: Promotor: Sławomir Bakier
DOI: 10.25919/4b0j-vp73
title: Multiplex PCR data of known age Green Sea Turtles

description: Multiplex PCR data of targeted amplicons from known age green sea turtles. DNA was collected from skin biopsies.
DOI: 10.5281/zenodo.6320338
title: Tracking Pixel webcrawl

description: Results of a webcrawl to detect Tracking Pixels
DOI: 10.5281/zenodo.6142712
title: Tracking Pixel webcrawl

description: Results of a webcrawl to detect Tracking Pixels
DOI: 10.5281/zenodo.6319476
title: Dataset for "Size-dependence of Aerosol Iron Solubility in an Urban Atmosphere"

description: Online PM concentration/weather condition and offline aerosol composition data for the study of "size-dependence of aerosol iron solubility in an urban atmosphere".
DOI: 10.5281/zenodo.6319475
title: Dataset for "Size-dependence of Aerosol Iron Solubility in an Urban Atmosphere"

description: Online PM concentration/weather condition and offline aerosol composition data for the study of "size-dependence of aerosol iron solubility in an urban atmosphere".
DOI: 10.48370/ofd/dzayh7
title: Hypochnicium eichleri (Bres. ex Sacc. P.Syd.) J.Erikss. Ryvarden, 1571

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19297676
title: Supplementary Material for: Short- and Long-Term Self-Reported Audiovestibular Symptoms of SARS-CoV-2 Infection in Hospitalized and Nonhospitalized Patients

description: <b><i>Background:</i></b> Audiovestibular symptoms during the acute stage have been reported in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), while very few studies investigated the long-term audiovestibular manifestations of SARS-CoV-2. <b><i>Objective:</i></b> The objective of this study was to examine the occurrence of short- and long-term audiovestibular symptoms associated with SARS-CoV-2 infection. <b><i>Method:</i></b> In this cross-sectional study, a questionnaire was distributed to severe hospitalized cases and nonhospitalized patients with mild disease, all with confirmed SARS-CoV-2 test results. Participants were inquired to report audiovestibular symptoms during the acute phase and at 6-month follow-up after contracting SARS-CoV-2. <b><i>Results:</i></b> A total of 301 participants completed the questionnaire. Auditory symptoms were reported by 21.9% and 1.99% of patients during the acute phase and 6 months post SARS-CoV-2 infection, respectively. During the acute phase of SARS-CoV-2 infection, aural fullness represents the most common symptoms (18.94%) followed by tinnitus (9.97%) and hearing loss (6.31%). Vestibular symptoms were reported by 34% during the acute phase; most commonly was dizziness (29.9%) followed by vertigo (24.25%) and unsteadiness (8.31%). Long-term and persistent vestibular problems were reported by 3.99% patients. There were no statistically significant differences in self-reported audiovestibular symptoms between patients with severe SARS-CoV-2 disease compared to those with mild disease. <b><i>Conclusion:</i></b> The current study showed that audiovestibular symptoms are common among SARS-CoV-2 infected patients during the acute phase of the disease. However, these symptoms are mostly temporary and showed complete spontaneous recovery during the first 2 weeks postinfection.
DOI: 10.6084/m9.figshare.19297676.v1
title: Supplementary Material for: Short- and Long-Term Self-Reported Audiovestibular Symptoms of SARS-CoV-2 Infection in Hospitalized and Nonhospitalized Patients

description: <b><i>Background:</i></b> Audiovestibular symptoms during the acute stage have been reported in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), while very few studies investigated the long-term audiovestibular manifestations of SARS-CoV-2. <b><i>Objective:</i></b> The objective of this study was to examine the occurrence of short- and long-term audiovestibular symptoms associated with SARS-CoV-2 infection. <b><i>Method:</i></b> In this cross-sectional study, a questionnaire was distributed to severe hospitalized cases and nonhospitalized patients with mild disease, all with confirmed SARS-CoV-2 test results. Participants were inquired to report audiovestibular symptoms during the acute phase and at 6-month follow-up after contracting SARS-CoV-2. <b><i>Results:</i></b> A total of 301 participants completed the questionnaire. Auditory symptoms were reported by 21.9% and 1.99% of patients during the acute phase and 6 months post SARS-CoV-2 infection, respectively. During the acute phase of SARS-CoV-2 infection, aural fullness represents the most common symptoms (18.94%) followed by tinnitus (9.97%) and hearing loss (6.31%). Vestibular symptoms were reported by 34% during the acute phase; most commonly was dizziness (29.9%) followed by vertigo (24.25%) and unsteadiness (8.31%). Long-term and persistent vestibular problems were reported by 3.99% patients. There were no statistically significant differences in self-reported audiovestibular symptoms between patients with severe SARS-CoV-2 disease compared to those with mild disease. <b><i>Conclusion:</i></b> The current study showed that audiovestibular symptoms are common among SARS-CoV-2 infected patients during the acute phase of the disease. However, these symptoms are mostly temporary and showed complete spontaneous recovery during the first 2 weeks postinfection.
DOI: 10.48370/ofd/aywvss
title: Cis castaneus (Mellié, 1849), C-473

description: Coleoptera collection
DOI: 10.48370/ofd/jjr8jt/xffczz
title: Kowejsza Jakub.pdf

description: :unav
DOI: 10.48370/ofd/jjr8jt
title: Analiza zmian składu gatunkowego nalotów i podrostów na siedlisku olsu typowego na stałych powierzchniach badawczych IBL w Puszczy Białowieskiej

description: Promotor: Rafał Paluch
DOI: 10.48370/ofd/65bopl
title: Cis castaneus (Herbst, 1793), C-452

description: Coleoptera collection
DOI: 10.48370/ofd/ngfuc4/8qzefo
title: Król Jolanta Zofia.pdf

description: :unav
DOI: 10.48370/ofd/ngfuc4
title: Inwentaryzacja roślin leczniczych na terenie Nadleśnictwa Namysłów

description: Promotor: Halina Chomutowska
DOI: 10.6084/m9.figshare.19189697
title: Assessing the roles of nitrogen, biomass, and niche dimensionality as drivers of species loss in grassland communities

description: Nutrient enrichment of natural ecosystems is a primary characteristic of the Anthropocene and a known cause of biodiversity loss, particularly in grasslands. In a global meta-analysis of 630 resource addition experiments, we conduct the first simultaneous test of the three most prominent explanations of this phenomenon. Our results conclusively indicate that nitrogen is the leading cause of species loss. This result is important because of the increase in nitrogen deposition and the frequent use of nitrogen-based fertilizers worldwide. Our findings provide global-scale, experimental evidence that minimizing nitrogen inputs to ecological systems may help to conserve the diversity of grassland ecosystems.<br>Here we share our dataset, metadata and R script related to our manuscript.