cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bu4sd9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, 212108377, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, 197290317, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, EMMELICHTHYIDAE, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, 158140916, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, 210655456, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, 211762829, Emmelichthyidae, Emmelichthyidae, 210218740, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae, Emmelichthyidae Poey, 1867, Emmelichthyidae Poey, 1867, Emmelichthyidae D.S.Jordan, 1923, Emmelichthyidae Poey, 1867, Emmelichthyidae Poey, 1867, Emmelichthyidae Poey 1867, 161457148, Emmelichthyidae Poey, 1867)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051357-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8asr3q
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is mushrooms-nhmj-ij-2019-01-15"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051358-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhuzhn
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Praxelis clematidea (Griseb.) R.M.King & H.Rob.",
 "Year 1970-2024"
 ]
}

 The dataset includes 146 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051363-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z4kbg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schindleriidae, 205891375, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, 205075032, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, Schindleriidae, 211760688, 210218230, Schindleriidae, 197295458, Schindleriidae, Schindleriidae, 209492547, Schindleriidae, Schindleriidae, Schindleriidae, SCHINDLERIIDAE, Schindleriidae, Schindleriidae, 161433946, Schindleriidae Giltay, 1934, Schindleriidae Giltay 1934, Schindleriidae Giltay, 1934, Gobiidae Cuvier, 1816, Gobiidae G.Cuvier, 1816)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051362-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmacs2
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ioj_odonata_collection"
 ]
}

 The dataset includes 321 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051361-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn82z4
title: Occurrence Download

description: A dataset containing 5572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.43594 27.64819,113.09578 27.3614,112.64222 27.08412,112.64222 25.40618,114.5273 25.23963,114.85329 25.54693,114.59817 26.4387,114.83912 27.38422,113.43594 27.64819))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 5572 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051364-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snwy8j
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ioj_hemiptera_collection"
 ]
}

 The dataset includes 1127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051365-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e632kc
title: Occurrence Download

description: A dataset containing 970 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ioj_hymenoptera_collection"
 ]
}

 The dataset includes 970 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051366-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hk5b7q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (158147789, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, 167497537, 157073669, Chaenopsidae, Chaenopsidae, Chaenopsidae, 210218102, Chaenopsidae, Chaenopsidae, 212360425, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, 210655005, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, 212270531, Chaenopsidae, Chaenopsidae, 210656059, Chaenopsidae, Chaenopsidae, Chaenopsidae, 211761496, 205001214, Chaenopsidae, 205848384, Chaenopsidae, 197287640, Chaenopsidae, 206022894, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, Chaenopsidae, CHAENOPSIDAE, Chaenopsidae, Chaenopsidae Gill, 1865, Chaenopsidae Gill, 1865, Chaenopsidae T.N.Gill, 1865, 161455110, Chaenopsidae Gill, 1865, Chaenopsidae Gill, 1865)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051367-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14575488
title: VisDrone2019

description: The VisDrone2019 dataset  is a comprehensive dataset extensively used worldwide for drone computer vision research and algorithm evaluation. It was collected by the Machine Learning and Data Mining Laboratory (AISKYEYE team) at Tianjin University. The dataset contains over 6,000 video sequences and 25,000 images, including 10,209 static images. These static images consist of 6,471 training images, 548 validation images, and 1,610 test images.
DOI: 10.5281/zenodo.14575489
title: VisDrone2019

description: The VisDrone2019 dataset  is a comprehensive dataset extensively used worldwide for drone computer vision research and algorithm evaluation. It was collected by the Machine Learning and Data Mining Laboratory (AISKYEYE team) at Tianjin University. The dataset contains over 6,000 video sequences and 25,000 images, including 10,209 static images. These static images consist of 6,471 training images, 548 validation images, and 1,610 test images.
DOI: 10.15468/dl.ha37wf
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (212271006, 210218522, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, 197291658, Menidae, 212282646, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, Menidae, 158145237, Menidae, Menidae, Menidae, Menidae, 161441765, Menidae Fitzinger, 1873, Menidae Fitzinger, 1873, Menidae Gill, 1885, Menidae Fitzinger, 1873, Scorpididae Günther, 1860, Kyphosidae Jordan, 1887, Microcanthidae Bleeker, 1876)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051368-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14575147
title: ShoeVibe Dataset: Floor Vibration Data Induced by Human Walking with 8 Different Shoe Types

description: We present ShoeVibe, a dataset of footstep-induced floor vibrations from 9 people, each walks with 8 different types of shoes including barefoot. Floor vibrations induced by human footsteps contain rich information, such as a person’s identity and gait, characterized by walking speed, balance, symmetry, and so on, enabling personalized health monitoring in smart buildings. However, footstep-induced structural vibrations not only depend on human walking patterns but also on a person’s shoes as the footstep force transmits from the foot to the floor. This co-dependency leads to difficulty in identifying the owner of the footsteps when multiple people share the same space and each person has multiple pairs of footwear. To address this challenge, the ShoeVibe dataset aims to study the effect of shoes on floor vibrations induced by human walking. 

Please cite this dataset as:

Yiwen Dong, Haochen Sun, Ruizhi Wang, and Hae Young Noh. ShoeVibe: A Human-Induced Floor Vibration Dataset with 8 Different Shoe Types. Zenodo. 2024.  https://zenodo.org/records/14575148

The associated paper published using this dataset is:

Yiwen Dong, Haochen Sun, Ruizhi Wang, and Hae Young Noh "Robust person identification across various shoe types using footstep-induced structural vibrations", Proc. SPIE 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024, 129491B (9 May 2024); https://doi.org/10.1117/12.3010554
DOI: 10.5281/zenodo.14575148
title: ShoeVibe Dataset: Floor Vibration Data Induced by Human Walking with 8 Different Shoe Types

description: We present ShoeVibe, a dataset of footstep-induced floor vibrations from 9 people, each walks with 8 different types of shoes including barefoot. Floor vibrations induced by human footsteps contain rich information, such as a person’s identity and gait, characterized by walking speed, balance, symmetry, and so on, enabling personalized health monitoring in smart buildings. However, footstep-induced structural vibrations not only depend on human walking patterns but also on a person’s shoes as the footstep force transmits from the foot to the floor. This co-dependency leads to difficulty in identifying the owner of the footsteps when multiple people share the same space and each person has multiple pairs of footwear. To address this challenge, the ShoeVibe dataset aims to study the effect of shoes on floor vibrations induced by human walking. 

Please cite this dataset as:

Yiwen Dong, Haochen Sun, Ruizhi Wang, and Hae Young Noh. ShoeVibe: A Human-Induced Floor Vibration Dataset with 8 Different Shoe Types. Zenodo. 2024.  https://zenodo.org/records/14575148

The associated paper published using this dataset is:

Yiwen Dong, Haochen Sun, Ruizhi Wang, and Hae Young Noh "Robust person identification across various shoe types using footstep-induced structural vibrations", Proc. SPIE 12949, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024, 129491B (9 May 2024); https://doi.org/10.1117/12.3010554
DOI: 10.6084/m9.figshare.27014300.v1
title: Hepatic schistosomiasis as a determining factor in the development of hepatic granulomas and liver fibrosis: a review of the current literature

description: Hepatic schistosomiasis is a neglected parasitosis that affects millions of people each year worldwide and leads to high healthcare costs and increased morbidity and mortality in infected humans. It is a disease that has been widely studied in terms of its pathophysiology; therefore, the signaling pathways that lead to liver damage, with the consequent development of liver fibrosis, are now better understood. Research has elucidated the role of soluble egg antigen in the development of hepatic granulomas and liver fibrosis, the signal transducer and activator of transcription 3 and its participation in liver damage, the role of heat shock protein 47 and its involvement in liver fibrosis, the anti-inflammatory effects caused by interleukin-37, and the role of natural killer and natural killer T cells in the development of the disease. Hepatic schistosomiasis can range from simple hepatomegaly to the development of portal hypertension combined with hepatic fibrosis. For diagnostic purposes, a microscopic examination of excreta remains the gold standard; however, abdominal ultrasound has recently taken on an important role in the assessment of liver lesions produced by the parasite. Praziquantel is considered the management drug of choice, and has been associated with a potential preventive antifibrotic effect.
DOI: 10.6084/m9.figshare.27938052
title: Patient preferences on pen injectors for assisted reproductive technology: a discrete choice experiment in France

description: The preference of patients in the choice of pen injectors for Assisted Reproduction Technology (ART) is an important issue for treatment adherence. This study, based on discrete choice experiment (DCE), aimed to elicit patients’ preferences of the characteristics of all pen injectors available in France. A DCE with 12 choice sets was developed to measure the preferences of 6 attributes: pre-injection steps, injection device, dose release, post-injection display, dose reduction method, and dose counter. A mixed logistic model was used to determine the preference ranks and calculate utility score. The study involved 155 women who had previous experience with the use of injector pens with an average age of 34.1 years. Statistically significant results showed that the most essential characteristics were dose confirmation (<i>p</i> &lt; 0.0001), dose counter with digits (<i>p</i> &lt; 0.0001), multi-use pen (<i>p</i> &lt; 0.0001) and ready-to-use pens (<i>p</i> &lt; 0.0001). Estimation of the utilities showed statistically significant difference in favor of Gonal-f®/Pergoveris® (reference modalities) versus other pens, and the largest difference was with Rekovelle® [95% CI:-1,37;-0.85], and Bemfola® [95% CI:-2.25;-1,52]. This study show that respondent preferred pen that are ready to use, can be used multiple times, have dose injection confirmation, and display the dose with digits.
DOI: 10.6084/m9.figshare.27938052.v1
title: Patient preferences on pen injectors for assisted reproductive technology: a discrete choice experiment in France

description: The preference of patients in the choice of pen injectors for Assisted Reproduction Technology (ART) is an important issue for treatment adherence. This study, based on discrete choice experiment (DCE), aimed to elicit patients’ preferences of the characteristics of all pen injectors available in France. A DCE with 12 choice sets was developed to measure the preferences of 6 attributes: pre-injection steps, injection device, dose release, post-injection display, dose reduction method, and dose counter. A mixed logistic model was used to determine the preference ranks and calculate utility score. The study involved 155 women who had previous experience with the use of injector pens with an average age of 34.1 years. Statistically significant results showed that the most essential characteristics were dose confirmation (<i>p</i> &lt; 0.0001), dose counter with digits (<i>p</i> &lt; 0.0001), multi-use pen (<i>p</i> &lt; 0.0001) and ready-to-use pens (<i>p</i> &lt; 0.0001). Estimation of the utilities showed statistically significant difference in favor of Gonal-f®/Pergoveris® (reference modalities) versus other pens, and the largest difference was with Rekovelle® [95% CI:-1,37;-0.85], and Bemfola® [95% CI:-2.25;-1,52]. This study show that respondent preferred pen that are ready to use, can be used multiple times, have dose injection confirmation, and display the dose with digits.
DOI: 10.6084/m9.figshare.27309398
title: Evolution of microneedle applicators for vaccination: the role of the latch applicator in optimizing dissolving microneedle-based immunization

description: Dissolving microneedles (DMN) offer advantages in vaccine delivery, such as enhanced immunogenicity and simplified administration, by targeting immune-rich layers of the skin. However, these benefits require precise and consistent delivery, which poses practical challenges. To address this, specialized applicators are essential for ensuring the accurate deployment of DMNs, making this technology a viable alternative to traditional methods, particularly in low- and middle-income countries (LMICs), where healthcare infrastructure is limited. In this review, we examine the advancements in DMN-based vaccination and applicator design, focusing on their joint effort. These innovations have improved the precision and efficiency of DMN vaccine delivery. Complex and costly early-stage applicators have evolved into simpler and more cost-effective designs. We highlight these developments in this review, with the latch applicator as a key example of a feature that enhances vaccine delivery. Although applicator development has advanced DMN-based vaccination toward practical use, challenges remain. Key areas for further optimization include user friendliness, cost, packaging volume, and wear time. Once optimized, DMN vaccination may become a highly effective and accessible tool for global immunization, supporting efforts to achieve worldwide vaccine equality.
DOI: 10.6084/m9.figshare.27309398.v1
title: Evolution of microneedle applicators for vaccination: the role of the latch applicator in optimizing dissolving microneedle-based immunization

description: Dissolving microneedles (DMN) offer advantages in vaccine delivery, such as enhanced immunogenicity and simplified administration, by targeting immune-rich layers of the skin. However, these benefits require precise and consistent delivery, which poses practical challenges. To address this, specialized applicators are essential for ensuring the accurate deployment of DMNs, making this technology a viable alternative to traditional methods, particularly in low- and middle-income countries (LMICs), where healthcare infrastructure is limited. In this review, we examine the advancements in DMN-based vaccination and applicator design, focusing on their joint effort. These innovations have improved the precision and efficiency of DMN vaccine delivery. Complex and costly early-stage applicators have evolved into simpler and more cost-effective designs. We highlight these developments in this review, with the latch applicator as a key example of a feature that enhances vaccine delivery. Although applicator development has advanced DMN-based vaccination toward practical use, challenges remain. Key areas for further optimization include user friendliness, cost, packaging volume, and wear time. Once optimized, DMN vaccination may become a highly effective and accessible tool for global immunization, supporting efforts to achieve worldwide vaccine equality.
DOI: 10.5281/zenodo.14575370
title: ReVibe Dataset: Footstep-Induced Floor Vibrations from 11 People Walking on 2 Different Structures - Wooden and Concrete Floor

description: We present the ReVibe dataset, a floor vibration dataset induced by 11 people, each walk on 2 different floor types: 1) wooden floor, and 2) concrete floor. Aligning the data from the same person across various locations is important to enable ubiquitous human activity recognition (HAR) and personalized health monitoring. However, it is challenging to align floor vibrations from the same person across two locations, mainly due to the difference in structural properties and footsteps over these locations. First, the structural properties at different locations vary, resulting in distinct patterns in footstep-induced vibration signals for each location (see Figure 1 of Instruction.pdf). It is difficult to match the same person across dissimilar signal patterns. Secondly, the same person's footstep forces and the number of recorded footsteps also vary across locations. Specifically, the same person's footsteps' characteristics vary due to psychological and physical variations when walking around in the building. To this end, the ReVibe dataset aims to enable vibration data alignment across different structures.

Please cite this dataset as: 

Yiwen Dong, and Hae Young Noh. ReVibe: A Footstep-Induced Floor Vibration Dataset from 11 People Walking on 2 Different Structures - Wooden and Concrete Floor. Zenodo. 2024. https://zenodo.org/uploads/14575371

The publication associated with the dataset is:

Yiwen Dong, Jiacheng Zhu, and Hae Young Noh. 2022. Re-vibe: vibration-based indoor person re-identification through cross-structure optimal transport. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '22). Association for Computing Machinery, New York, NY, USA, 348–352. https://doi.org/10.1145/3563357.3566134