cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8fd4gp
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Macao",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Egretta T.Forster, 1817",
 "Year is 2023"
 ]
}

 The dataset includes 206 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078941-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pfny4
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Pteronura brasiliensis Zimmermann, 1780"
 ]
}

 The dataset includes 191 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078942-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8260025
title: WRF-Chem configurations and input data sets for sensitivity tests of emission inventories

description: WRF-Chem and WPS v4.4 source codes and their configurations with namelist files.


Emission inventory data sets (EDGAR-HTAP v2 and v3) for 'anthro_emis' input are included.


The KORUS v5 emission data are provided with 'wrfchemi' format.


The 'namelist.input' contains physics and chemistry options that are used for WRF-Chem model.


The model grid information is available in 'namelist.wps'.


 


Kim, K.-M., Kim, S.-W., Seo, S., Blake, D. R., Cho, S., Crawford, J. H., Emmons, L., Fried, A., Herman, J. R., Hong, J., Jung, J., Pfister, G., Weinheimer, A. J., Woo, J.-H., and Zhang, Q.: Sensitivity of the WRF-Chem v4.4 ozone, formaldehyde, and precursor simulations to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-132, in review, 2023.
DOI: 10.5281/zenodo.8260026
title: WRF-Chem configurations and input data sets for sensitivity tests of emission inventories

description: WRF-Chem and WPS v4.4 source codes and their configurations with namelist files.


Emission inventory data sets (EDGAR-HTAP v2 and v3) for 'anthro_emis' input are included.


The KORUS v5 emission data are provided with 'wrfchemi' format.


The 'namelist.input' contains physics and chemistry options that are used for WRF-Chem model.


The model grid information is available in 'namelist.wps'.


 


Kim, K.-M., Kim, S.-W., Seo, S., Blake, D. R., Cho, S., Crawford, J. H., Emmons, L., Fried, A., Herman, J. R., Hong, J., Jung, J., Pfister, G., Weinheimer, A. J., Woo, J.-H., and Zhang, Q.: Sensitivity of the WRF-Chem v4.4 ozone, formaldehyde, and precursor simulations to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-132, in review, 2023.
DOI: 10.15468/dl.pb4r46
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Human Observation, Specimen, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orcuttia tenuis Hitchc."
 ]
}

 The dataset includes 226 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078943-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10912885
title: Self-Learning Vehicle Detection Dataset for Urban Environments

description: This dataset was collected as part of a research study aimed at enhancing vehicle detection algorithms through a self-learning approach tailored for urban environments. The primary objective was to minimize dependency on extensive manual labeling and improve adaptability and effectiveness in dynamic urban conditions. The study utilized urban camera infrastructures to gather real-time traffic data, focusing on a diverse range of vehicle types.

The dataset includes images captured from traffic cameras situated at the intersection of Calle de Alcalá and Calle de Velázquez in Madrid, Spain, operated by the Madrid City Council. Data collection spanned from November 30, 2023, to December 6, 2023, covering daytime traffic between 8:30 hours and 18:00 hours. A total of 770 images were captured at approximately 5-minute intervals.

This dataset specifically targets five vehicle types: buses, cars, motorcycles, trucks, and vans, chosen to encompass a wide range of vehicle sizes, shapes, and functionalities commonly encountered in city traffic. A subset of 134 images was manually labeled, into sets for training, validation (fine-tuning phase), and validation (self-training phase). The remaining 653 images were labeled automatically via the self-learning process proposed in the research.
DOI: 10.5281/zenodo.10912886
title: Self-Learning Vehicle Detection Dataset for Urban Environments

description: This dataset was collected as part of a research study aimed at enhancing vehicle detection algorithms through a self-learning approach tailored for urban environments. The primary objective was to minimize dependency on extensive manual labeling and improve adaptability and effectiveness in dynamic urban conditions. The study utilized urban camera infrastructures to gather real-time traffic data, focusing on a diverse range of vehicle types.

The dataset includes images captured from traffic cameras situated at the intersection of Calle de Alcalá and Calle de Velázquez in Madrid, Spain, operated by the Madrid City Council. Data collection spanned from November 30, 2023, to December 6, 2023, covering daytime traffic between 8:30 hours and 18:00 hours. A total of 770 images were captured at approximately 5-minute intervals.

This dataset specifically targets five vehicle types: buses, cars, motorcycles, trucks, and vans, chosen to encompass a wide range of vehicle sizes, shapes, and functionalities commonly encountered in city traffic. A subset of 134 images was manually labeled, into sets for training, validation (fine-tuning phase), and validation (self-training phase). The remaining 653 images were labeled automatically via the self-learning process proposed in the research.
DOI: 10.5281/zenodo.11650128
title: Data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution

description: Here, we present data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution.

Spreadsheets correspond to figures in the paper (SI). Data is organized within a spreadsheet by subfigures, and the '.I' index stands for insets data.

 

For further questions, you may contact me - yonatan.poles@mail.huji.ac.il.
DOI: 10.5281/zenodo.11650129
title: Data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution

description: Here, we present data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution.

Spreadsheets correspond to figures in the paper (SI). Data is organized within a spreadsheet by subfigures, and the '.I' index stands for insets data.

 

For further questions, you may contact me - yonatan.poles@mail.huji.ac.il.
DOI: 10.15468/dl.zsqakf
title: Occurrence Download

description: A dataset containing 2333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sageretia thea (Osbeck) M.C.Johnst."
 ]
}

 The dataset includes 2333 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078945-240506114902167/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.26037244.v1
title: Supplementary Material for: A statistical testing strategy accounting for random and non-random (skewed) X-chromosome inactivation identifies lung cancer susceptibility loci among smokers

description: Introduction: Lung cancer is the most common cancer worldwide in mortality and the second in incidence. Epidemiological studies found a higher lung cancer risk for smoking women in comparison to men, but these sex differences, irrespective of smoking habits, remains controversial. One of the hypotheses concerns the genetic contribution of the sex chromosomes. However, while genomewide association studies identified many lung cancer susceptibility loci, these analyses have excluded X-linked loci.
Methods: To account for non-genetic factors, we first presented an association test based on an additive-multiplicative hazard model accounting for random/non-random X-inactivation process. A simulation study was performed to investigate the properties of the proposed test as compared with the Wald test from a Cox model with random X-inactivation process and the partial likelihood ratio test proposed by Xu et al. accounting for non-random X-inactivation process. Then, we performed an X chromosome-wide association study on 9,261 individuals from the population based cohort CARTaGENE to identify susceptibility loci for lung cancer among current and past smokers. We adjusted for the PLCOm2012 lung cancer risk score used in screening programs. 
Results: Simulation results show the good behavior of the proposed test in terms of power and Type I error probability as compared to the Xu et al. and the Wald test. Using the proposed test statistic and adjusting for the PLCOm2012 score, the X chromosome-wide statistical analysis identified two SNPs in low-linkage disequilibrium located in the IL1RAPL1 (IL-1 R accessory protein-like) gene: rs12558491 (p=2.75*10-9) and rs12835699 (p=1.26*10-6). For both SNPs, the minor allele was associated with lower lung cancer risk. Adjusting for multiple testing, no signal was detected using the Wald or the Xu et al. likelihood ratio tests. 
Conclusion: By taking into account smoking behavior and the X-inactivation process, the investigation of the X chromosome has shed a new light on the association between X-linked loci and lung cancer. We identified two loci associated with lung cancer located in the IL1RAPL1 gene. This finding would have been overlooked by examining only results from other test statistics.
DOI: 10.6084/m9.figshare.26037244
title: Supplementary Material for: A statistical testing strategy accounting for random and non-random (skewed) X-chromosome inactivation identifies lung cancer susceptibility loci among smokers

description: Introduction: Lung cancer is the most common cancer worldwide in mortality and the second in incidence. Epidemiological studies found a higher lung cancer risk for smoking women in comparison to men, but these sex differences, irrespective of smoking habits, remains controversial. One of the hypotheses concerns the genetic contribution of the sex chromosomes. However, while genomewide association studies identified many lung cancer susceptibility loci, these analyses have excluded X-linked loci.
Methods: To account for non-genetic factors, we first presented an association test based on an additive-multiplicative hazard model accounting for random/non-random X-inactivation process. A simulation study was performed to investigate the properties of the proposed test as compared with the Wald test from a Cox model with random X-inactivation process and the partial likelihood ratio test proposed by Xu et al. accounting for non-random X-inactivation process. Then, we performed an X chromosome-wide association study on 9,261 individuals from the population based cohort CARTaGENE to identify susceptibility loci for lung cancer among current and past smokers. We adjusted for the PLCOm2012 lung cancer risk score used in screening programs. 
Results: Simulation results show the good behavior of the proposed test in terms of power and Type I error probability as compared to the Xu et al. and the Wald test. Using the proposed test statistic and adjusting for the PLCOm2012 score, the X chromosome-wide statistical analysis identified two SNPs in low-linkage disequilibrium located in the IL1RAPL1 (IL-1 R accessory protein-like) gene: rs12558491 (p=2.75*10-9) and rs12835699 (p=1.26*10-6). For both SNPs, the minor allele was associated with lower lung cancer risk. Adjusting for multiple testing, no signal was detected using the Wald or the Xu et al. likelihood ratio tests. 
Conclusion: By taking into account smoking behavior and the X-inactivation process, the investigation of the X chromosome has shed a new light on the association between X-linked loci and lung cancer. We identified two loci associated with lung cancer located in the IL1RAPL1 gene. This finding would have been overlooked by examining only results from other test statistics.
DOI: 10.25919/z5hd-xw18
title: Experimental ecosystem accounts and supplementary data for the Western Australian Wheatbelt. A data collection from the Regional Ecosystem Accounting Pilot projects

description: This data collection comprises experimental ecosystem accounts for the Western Australian Wheatbelt.

These experimental accounts are a proof of concept offering methods and data that could potentially be used in national ecosystem accounts. While the account-ready data are currently the ‘best available’, further validation is required before being used for decision making.

The data collection includes account tables, supplementary data, maps and charts derived from account-ready data (provided in related data collections). The ‘synthear’ package in R ( http://doi.org/10.25919/kx7z-sh64) was used to compile the account-ready data into account tables for the Ecosystem Accounting Area (EAA): the Western Australian Wheatbelt. Accounts are provided for the following reporting areas (subdivisions of the EAA): (1) ecosystem types and states; (2) ecosystem functional groups, as defined by the System of Environmental-Economic Accounting – Ecosystem Accounting framework; and (3) Statistical Areas Level 2. Stock accounts open and close at 1 July 2018 and 30 June 2019, respectively, which in some cases is represented by an annual average of the 2017-18 and 2018-19 financial years, respectively. Longer time series are provided as supplementary data where available. Flow accounts are for 2018-19.
DOI: 10.15468/dl.ybngfy
title: Occurrence Download

description: A dataset containing 22578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is one of (Tayassu pecari (Link, 1795), Tinamus tao Temminck, 1815, Ramphastos tucanus Linnaeus, 1758, Podocnemis unifilis Troschel, 1848, Chelonoidis denticulatus (Linnaeus, 1766), Agamia agami (Gmelin, 1789), Priodontes maximus (Kerr, 1792))"
 ]
}

 The dataset includes 22578 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078947-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wfx9f
title: Occurrence Download

description: A dataset containing 7061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Cyathea J.E.Sm."
 ]
}

 The dataset includes 7061 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078948-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0003821
title: 二维GeAs中二向色性的垂直光学反转和偏振光探测器的数据集
DOI: 10.15468/dl.ctmycy
title: Occurrence Download

description: A dataset containing 2871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aglyptodactylus securifer Glaw, Vences & Böhme, 1998, Alectroenas madagascariensis (Linnaeus, 1766), Allocebus trichotis (Günther, 1875), Alluaudina mocquardi Angel, 1939, Ambassis fontoynonti Pellegrin, 1932)"
 ]
}

 The dataset includes 2871 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078949-240506114902167/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.24151437
title: Supplementary Material for: Associations between differential aging and lifestyle, environment, current, and future health conditions: Findings from Canadian Longitudinal Study on Aging

description: Introduction: An aging population is a pressing challenge for the healthcare system. Insights into promoting healthy longevity can be gained by quantifying the biological aging process and understanding the roles of modifiable lifestyle and environmental factors and chronic disease conditions. 

Methods: We developed a biological age (BioAge) index by applying multiple state-of-art machine learning models based on easily accessible blood test data from the Canadian Longitudinal Study of Aging (CLSA). The BioAge gap, which is the difference between BioAge index and chronological age, was used to quantify the differential aging, i.e., the difference between biological and chronological age, of the CLSA participants. We further investigated the associations between the BioAge gap and lifestyle, environmental factors, and current and future health conditions. Results: BioAge gap had strong associations with existing adverse health conditions (e.g., cancers, cardiovascular diseases, diabetes, kidney diseases) and future disease onset (e.g., Parkinson's disease, diabetes, and kidney diseases). We identified that frequent consumption of processed meat, pork, beef, and chicken, poor outcomes in nutritional risk screening, cigarette smoking, exposure to passive smoking, are associated with positive BioAge gap (“older” than expected in BioAge index). We also identified several modifiable factors, including eating fruits, legumes, vegetables, related to negative BioAge gap (“younger” than expected in BioAge index). 

Discussion/Conclusions: Our study shows that a BioAge index based on easily accessible blood tests has the potential to quantify the biological aging process that is associated with current and future adverse health events. The identified risk and protective factors for differential aging indicated by BioAge gap are informative for guiding policy making to promote healthy longevity.
DOI: 10.15468/dl.jq38e8
title: Occurrence Download

description: A dataset listing the 20620 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Mauritius"
 ]
}

 The dataset's 20620 records were derived from 709 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078946-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/2t3q-6g13
title: Comprehensive Patient-Health Monitoring Dataset

description: The Comprehensive Patient-Health Monitoring Dataset is an extensive collection of health-related data gathered from remote monitoring systems between June 4, 2023, and October 4, 2023. This dataset comprises 10,000 samples, each meticulously recorded at ten-minute intervals, capturing a diverse array of vital signs and health metrics crucial for patient care and medical research. Key attributes included in the dataset are timestamps, heart rate (bpm), blood pressure (systolic/diastolic mmHg), respiratory rate (breaths per minute), body temperature (°C), blood oxygen level (SpO2 %), and glucose level (mg/dL). These parameters are fundamental indicators of an individual’s health status, providing a comprehensive view of their physiological state over time.The dataset is structured to facilitate ease of use for various analytical and research purposes. Each record is timestamped, ensuring accurate chronological tracking of patient health metrics. Heart rate measurements are presented in beats per minute (bpm), blood pressure readings include both systolic and diastolic values (mmHg), respiratory rate is captured in breaths per minute, body temperature is recorded in degrees Celsius, blood oxygen levels are expressed as a percentage of SpO2, and glucose levels are noted in mg/dL. The data format ensures compatibility with a wide range of analytical tools and statistical software, making it accessible for researchers across different disciplines.This dataset holds significant potential for a wide array of research applications in the healthcare field. Its extensive temporal coverage and detailed vital sign measurements make it a valuable resource for studying trends and patterns in patient health over time. Researchers can leverage this dataset to develop and validate predictive models for early disease detection, patient deterioration prediction, and personalized health interventions. Moreover, the dataset can support the evaluation and improvement of remote monitoring technologies and telemedicine practices, contributing to the enhancement of patient care in non-clinical settings.
DOI: 10.15468/dl.fpjmxq
title: Occurrence Download

description: A dataset containing 247775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picris hieracioides L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 247775 records from 2159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078933-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0ep-gf3-lgh
title: †Paracladiscites indicus Mojsisovics, 1896

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j9g-sms-pkk
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/by4-nbb-rq0
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qhe-75q-k29
title: †Hemicytheria reniformis (Reuss, 1850) Cernajsek, 1971

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/amb-7vm-xf0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z05-3ry-dvg
title: †Vaginulinopsis cristellata (Stache, 1864)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3v2-z9h-vwv
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f3v-chd-zd7
title: †Leptagonia M'Coy, 1844

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fs7-kyq-8pk
title: Neoaulaxinia Pisera & Lévi, 2002

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/87a-lv7-416
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jyf-0xx-5q6
title: Semicytherura angulata (Brady, 1868)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/63q-4a1-xmb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f90-wp2-v18
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fkx-1rj-jte
title: †Productus Sowerby, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.