cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/44m7-6e57
title: Parkes observations for project P1344 semester 2024OCTS_05

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The commissioning of new dedicated FRB detection systems has led to an exponential increase in the detected FRBs over the last decade. Despite &gt;700 FRBs published to date, there is still a lack of understanding about the physical mechanisms through which FRB emission is produced. Due to the possibility of detecting multiple bursts from the same source in a repeating FRB, it forms an ideal sample set to uncover the physics of the source (e.g., emission mechanism, progenitor surrounding media), and test possible progenitor models. The coherent upgrade to the FRB detection system to ASKAP is expected to detect ~1 FRB/week. However, due to the limited fractional bandwidth available with ASKAP and survey nature of the telescope, probing the spectro-polarimetric characteristics of repeating sources is non-optimal. Hence, the large bandwidth offered by the ultra wideband-low (UWL) on Parkes/Murriyang is an ideal instrument to follow-up repeating FRB sources discovered through CRACO. We propose using the unallocated time/Green Time on UWL to follow up repeater-like sources to study their wideband spectro-polarimetric characteristics.
DOI: 10.6084/m9.figshare.26052976
title: Comparison of Source Apportionment and Background PM<sub>2.5</sub> Contribution in Six U.S. Metropolitan Areas

description: Total ambient PM<sub>2.5</sub> concentrations within six major metropolitan core-based statistical areas (CBSAs) were evaluated using a previously published approach that combines interpolation and fixed effect regression models to disentangle background from local PM<sub>2.5</sub> contributions. The results demonstrate differences and similarities across the cities, including seasonal patterns, the magnitude of total PM<sub>2.5</sub> concentrations, and local vs. background apportionment. Los Angeles generally had the greatest total and local PM<sub>2.5</sub> concentrations, and monitoring locations in Seattle generally had the lowest total and local PM<sub>2.5</sub> concentrations. In terms of seasonal change, mean total PM<sub>2.5</sub> concentrations varied the most in Dallas and the least in Tampa, while mean total PM<sub>2.5</sub> concentrations varied the most spatially in Los Angeles and the least spatially in Dallas. Additionally, mean local PM<sub>2.5</sub> concentrations varied the most seasonally in Los Angeles and the least seasonally in Tampa, while mean local PM<sub>2.5</sub> concentrations varied the most spatially in Seattle and the least spatially in Charlotte and Dallas. Local attribution in Charlotte, Dallas, Pittsburgh, and Tampa were most similar. Local attribution varied more widely in Los Angeles and Seattle. The analyses found distance to major U.S. roadways as an important indicator for total and local ambient PM<sub>2.5</sub> concentrations. Accurate distinctions of local vs. background contributions and point vs. non-point source contributions allow for regulatory, mitigatory, and community efforts to be optimized at the appropriate spatial levels (i.e., local, regional, state, or national) and target toward the most impactful source sectors when seeking to take steps that reduce total community PM<sub>2.5</sub> exposures (e.g., reducing vehicular emissions).
DOI: 10.6084/m9.figshare.26052976.v1
title: Comparison of Source Apportionment and Background PM<sub>2.5</sub> Contribution in Six U.S. Metropolitan Areas

description: Total ambient PM<sub>2.5</sub> concentrations within six major metropolitan core-based statistical areas (CBSAs) were evaluated using a previously published approach that combines interpolation and fixed effect regression models to disentangle background from local PM<sub>2.5</sub> contributions. The results demonstrate differences and similarities across the cities, including seasonal patterns, the magnitude of total PM<sub>2.5</sub> concentrations, and local vs. background apportionment. Los Angeles generally had the greatest total and local PM<sub>2.5</sub> concentrations, and monitoring locations in Seattle generally had the lowest total and local PM<sub>2.5</sub> concentrations. In terms of seasonal change, mean total PM<sub>2.5</sub> concentrations varied the most in Dallas and the least in Tampa, while mean total PM<sub>2.5</sub> concentrations varied the most spatially in Los Angeles and the least spatially in Dallas. Additionally, mean local PM<sub>2.5</sub> concentrations varied the most seasonally in Los Angeles and the least seasonally in Tampa, while mean local PM<sub>2.5</sub> concentrations varied the most spatially in Seattle and the least spatially in Charlotte and Dallas. Local attribution in Charlotte, Dallas, Pittsburgh, and Tampa were most similar. Local attribution varied more widely in Los Angeles and Seattle. The analyses found distance to major U.S. roadways as an important indicator for total and local ambient PM<sub>2.5</sub> concentrations. Accurate distinctions of local vs. background contributions and point vs. non-point source contributions allow for regulatory, mitigatory, and community efforts to be optimized at the appropriate spatial levels (i.e., local, regional, state, or national) and target toward the most impactful source sectors when seeking to take steps that reduce total community PM<sub>2.5</sub> exposures (e.g., reducing vehicular emissions).
DOI: 10.15468/dl.eccq39
title: Occurrence Download

description: A dataset containing 2246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is one of (Afghanistan, Pakistan, India, Bangladesh, Sri Lanka, Nepal, Bhutan, Maldives)",
 "OccurrenceStatus is Present",
 "TaxonKey is Beta vulgaris L.",
 "Year 1000-2025"
 ]
}

 The dataset includes 2246 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003438-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znbwjg
title: Occurrence Download

description: A dataset containing 3380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Thamnophis cyrtopsis (Kennicott, 1860)"
 ]
}

 The dataset includes 3380 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003439-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukncj2
title: Occurrence Download

description: A dataset containing 956688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.5 -7.417,180 -7.417,180 81.875,-10.5 81.875,-10.5 -7.417))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 956688 records from 1928 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003432-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12236765
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.15710492
title: HospitalStay

description: Dataset Description: Hospital Stay and Clinical Features

This dataset contains patient information related to hospital stays and associated clinical features. The data is structured to support exploratory analysis and predictive modeling for healthcare outcomes, particularly the duration of hospital stays. It includes various demographic, clinical, and laboratory variables collected at the time of hospital admission.

Key Features:





Age: Patient’s age in years




Gender: Categorical variable indicating the sex of the patient (Male/Female)




Diagnosis: Primary diagnosis upon admission




Comorbidities: Presence of chronic conditions such as diabetes, hypertension, etc.




Admission Type: Emergency, elective, or other




Length of Stay: Duration of hospitalization in days (target variable for regression)




Lab Results: Includes WBC, RBC, Hemoglobin, Platelet counts, etc.




Outcome: Patient outcome (e.g., discharged, deceased)



Purpose:This dataset is intended for use in statistical modeling and machine learning applications focused on predicting hospital stay duration, understanding contributing factors, and potentially optimizing resource allocation in healthcare settings.

File Format: Excel spreadsheet with separate columns for each variable. Missing values may be present and should be handled during preprocessing.
DOI: 10.5281/zenodo.15710493
title: HospitalStay

description: Dataset Description: Hospital Stay and Clinical Features

This dataset contains patient information related to hospital stays and associated clinical features. The data is structured to support exploratory analysis and predictive modeling for healthcare outcomes, particularly the duration of hospital stays. It includes various demographic, clinical, and laboratory variables collected at the time of hospital admission.

Key Features:





Age: Patient’s age in years




Gender: Categorical variable indicating the sex of the patient (Male/Female)




Diagnosis: Primary diagnosis upon admission




Comorbidities: Presence of chronic conditions such as diabetes, hypertension, etc.




Admission Type: Emergency, elective, or other




Length of Stay: Duration of hospitalization in days (target variable for regression)




Lab Results: Includes WBC, RBC, Hemoglobin, Platelet counts, etc.




Outcome: Patient outcome (e.g., discharged, deceased)



Purpose:This dataset is intended for use in statistical modeling and machine learning applications focused on predicting hospital stay duration, understanding contributing factors, and potentially optimizing resource allocation in healthcare settings.

File Format: Excel spreadsheet with separate columns for each variable. Missing values may be present and should be handled during preprocessing.
DOI: 10.15468/dl.8z6set
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia archibaldii Lange-Bertalot, 1980",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061616-250525065834625/datasets/export for details.
DOI: 10.18112/openneuro.ds004621.v1.0.4
title: The Nencki-Symfonia EEG/ERP dataset
DOI: 10.15468/dl.nd46et
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nitzschia archibaldii Lange-Bertalot, 1980",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061617-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mfn68r
title: Occurrence Download

description: A dataset containing 1556909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1556909 records from 792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061610-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21258/1814124
title: Swiss national forest inventory - Result table No. 1359364
DOI: 10.21258/1814125
title: Swiss national forest inventory - Result table No. 1362102
DOI: 10.21258/1814126
title: Swiss national forest inventory - Result table No. 1362131
DOI: 10.21258/1814127
title: Swiss national forest inventory - Result table No. 1359650
DOI: 10.21258/1814128
title: Swiss national forest inventory - Result table No. 1361488
DOI: 10.21258/1814129
title: Swiss national forest inventory - Result table No. 1361171
DOI: 10.21258/1814130
title: Swiss national forest inventory - Result table No. 1364759
DOI: 10.21258/1814131
title: Swiss national forest inventory - Result table No. 1363173
DOI: 10.21258/1814132
title: Swiss national forest inventory - Result table No. 1363366
DOI: 10.21258/1814133
title: Swiss national forest inventory - Result table No. 1362928
DOI: 10.21258/1814101
title: Swiss national forest inventory - Result table No. 1240430
DOI: 10.21258/1814102
title: Swiss national forest inventory - Result table No. 1240819
DOI: 10.21258/1814103
title: Swiss national forest inventory - Result table No. 1348119
DOI: 10.21258/1814104
title: Swiss national forest inventory - Result table No. 1349400
DOI: 10.21258/1814105
title: Swiss national forest inventory - Result table No. 1347428
DOI: 10.21258/1814106
title: Swiss national forest inventory - Result table No. 1350254
DOI: 10.21258/1814107
title: Swiss national forest inventory - Result table No. 1349826
DOI: 10.21258/1814108
title: Swiss national forest inventory - Result table No. 1349851
DOI: 10.21258/1814109
title: Swiss national forest inventory - Result table No. 1349264
DOI: 10.21258/1814110
title: Swiss national forest inventory - Result table No. 1348973
DOI: 10.21258/1814111
title: Swiss national forest inventory - Result table No. 1353412
DOI: 10.21258/1814112
title: Swiss national forest inventory - Result table No. 1353491
DOI: 10.21258/1814113
title: Swiss national forest inventory - Result table No. 1352055
DOI: 10.21258/1814114
title: Swiss national forest inventory - Result table No. 1353530
DOI: 10.21258/1814115
title: Swiss national forest inventory - Result table No. 1351003
DOI: 10.21258/1814116
title: Swiss national forest inventory - Result table No. 1351962
DOI: 10.21258/1814084
title: Swiss national forest inventory - Result table No. 1376898
DOI: 10.21258/1814085
title: Swiss national forest inventory - Result table No. 1375522
DOI: 10.21258/1814086
title: Swiss national forest inventory - Result table No. 1374973
DOI: 10.21258/1814087
title: Swiss national forest inventory - Result table No. 1378078
DOI: 10.21258/1814088
title: Swiss national forest inventory - Result table No. 1232902
DOI: 10.21258/1814089
title: Swiss national forest inventory - Result table No. 1248809
DOI: 10.21258/1814090
title: Swiss national forest inventory - Result table No. 1248937
DOI: 10.21258/1814091
title: Swiss national forest inventory - Result table No. 1248708
DOI: 10.21258/1814092
title: Swiss national forest inventory - Result table No. 1215658
DOI: 10.21258/1814093
title: Swiss national forest inventory - Result table No. 1240821
DOI: 10.21258/1814094
title: Swiss national forest inventory - Result table No. 1243592
DOI: 10.21258/1814095
title: Swiss national forest inventory - Result table No. 1211229
DOI: 10.21258/1814096
title: Swiss national forest inventory - Result table No. 1241121
DOI: 10.21258/1814097
title: Swiss national forest inventory - Result table No. 1241838
DOI: 10.21258/1814098
title: Swiss national forest inventory - Result table No. 1218069
DOI: 10.21258/1814099
title: Swiss national forest inventory - Result table No. 1239313
DOI: 10.21258/1814100
title: Swiss national forest inventory - Result table No. 1240009
DOI: 10.21258/1814067
title: Swiss national forest inventory - Result table No. 1371732
DOI: 10.21258/1814068
title: Swiss national forest inventory - Result table No. 1370740
DOI: 10.21258/1814069
title: Swiss national forest inventory - Result table No. 1373701
DOI: 10.21258/1814070
title: Swiss national forest inventory - Result table No. 1371841
DOI: 10.21258/1814071
title: Swiss national forest inventory - Result table No. 1374204
DOI: 10.21258/1814072
title: Swiss national forest inventory - Result table No. 1373904
DOI: 10.21258/1814073
title: Swiss national forest inventory - Result table No. 1370941
DOI: 10.21258/1814074
title: Swiss national forest inventory - Result table No. 1374517
DOI: 10.21258/1814075
title: Swiss national forest inventory - Result table No. 1374520
DOI: 10.21258/1814076
title: Swiss national forest inventory - Result table No. 1378158
DOI: 10.21258/1814077
title: Swiss national forest inventory - Result table No. 1375055
DOI: 10.21258/1814078
title: Swiss national forest inventory - Result table No. 1377404
DOI: 10.21258/1814079
title: Swiss national forest inventory - Result table No. 1378536
DOI: 10.21258/1814080
title: Swiss national forest inventory - Result table No. 1374924
DOI: 10.21258/1814081
title: Swiss national forest inventory - Result table No. 1375110
DOI: 10.21258/1814082
title: Swiss national forest inventory - Result table No. 1377536
DOI: 10.21258/1814083
title: Swiss national forest inventory - Result table No. 1377865
DOI: 10.21258/1814050
title: Swiss national forest inventory - Result table No. 1268682
DOI: 10.21258/1814051
title: Swiss national forest inventory - Result table No. 1266280
DOI: 10.21258/1814052
title: Swiss national forest inventory - Result table No. 1268686
DOI: 10.21258/1814053
title: Swiss national forest inventory - Result table No. 1266286
DOI: 10.21258/1814054
title: Swiss national forest inventory - Result table No. 1266300
DOI: 10.21258/1814055
title: Swiss national forest inventory - Result table No. 1370618
DOI: 10.21258/1814056
title: Swiss national forest inventory - Result table No. 1368322
DOI: 10.21258/1814057
title: Swiss national forest inventory - Result table No. 1369392
DOI: 10.21258/1814058
title: Swiss national forest inventory - Result table No. 1373634
DOI: 10.21258/1814059
title: Swiss national forest inventory - Result table No. 1373143
DOI: 10.21258/1814060
title: Swiss national forest inventory - Result table No. 1370670
DOI: 10.21258/1814061
title: Swiss national forest inventory - Result table No. 1371502
DOI: 10.21258/1814062
title: Swiss national forest inventory - Result table No. 1370756
DOI: 10.21258/1814063
title: Swiss national forest inventory - Result table No. 1370892
DOI: 10.21258/1814064
title: Swiss national forest inventory - Result table No. 1373213
DOI: 10.21258/1814065
title: Swiss national forest inventory - Result table No. 1373077
DOI: 10.21258/1814066
title: Swiss national forest inventory - Result table No. 1371569
DOI: 10.21258/1814035
title: Swiss national forest inventory - Result table No. 1263571
DOI: 10.21258/1814036
title: Swiss national forest inventory - Result table No. 1262882
DOI: 10.21258/1814037
title: Swiss national forest inventory - Result table No. 1264688
DOI: 10.21258/1814038
title: Swiss national forest inventory - Result table No. 1264606
DOI: 10.21258/1814039
title: Swiss national forest inventory - Result table No. 1264751
DOI: 10.21258/1814040
title: Swiss national forest inventory - Result table No. 1263744
DOI: 10.21258/1814041
title: Swiss national forest inventory - Result table No. 1263935
DOI: 10.21258/1814042
title: Swiss national forest inventory - Result table No. 1264750
DOI: 10.21258/1814043
title: Swiss national forest inventory - Result table No. 1264286
DOI: 10.21258/1814044
title: Swiss national forest inventory - Result table No. 1262707
DOI: 10.21258/1814045
title: Swiss national forest inventory - Result table No. 1263981
DOI: 10.21258/1814046
title: Swiss national forest inventory - Result table No. 1264707
DOI: 10.21258/1814047
title: Swiss national forest inventory - Result table No. 1264213
DOI: 10.21258/1814048
title: Swiss national forest inventory - Result table No. 1264390
DOI: 10.21258/1814049
title: Swiss national forest inventory - Result table No. 1264711
DOI: 10.21258/1814016
title: Swiss national forest inventory - Result table No. 1262706
DOI: 10.21258/1814017
title: Swiss national forest inventory - Result table No. 1262107
DOI: 10.21258/1814018
title: Swiss national forest inventory - Result table No. 1261782
DOI: 10.21258/1814019
title: Swiss national forest inventory - Result table No. 1261788
DOI: 10.21258/1814020
title: Swiss national forest inventory - Result table No. 1262030
DOI: 10.21258/1814021
title: Swiss national forest inventory - Result table No. 1262666
DOI: 10.21258/1814022
title: Swiss national forest inventory - Result table No. 1260721
DOI: 10.21258/1814023
title: Swiss national forest inventory - Result table No. 1261025
DOI: 10.21258/1814024
title: Swiss national forest inventory - Result table No. 1262433
DOI: 10.21258/1814025
title: Swiss national forest inventory - Result table No. 1260776
DOI: 10.21258/1814026
title: Swiss national forest inventory - Result table No. 1261933
DOI: 10.21258/1814027
title: Swiss national forest inventory - Result table No. 1262223
DOI: 10.21258/1814028
title: Swiss national forest inventory - Result table No. 1262274
DOI: 10.21258/1814029
title: Swiss national forest inventory - Result table No. 1262191
DOI: 10.21258/1814030
title: Swiss national forest inventory - Result table No. 1262343
DOI: 10.21258/1814031
title: Swiss national forest inventory - Result table No. 1262419
DOI: 10.21258/1814032
title: Swiss national forest inventory - Result table No. 1263472
DOI: 10.21258/1814033
title: Swiss national forest inventory - Result table No. 1264743
DOI: 10.21258/1814034
title: Swiss national forest inventory - Result table No. 1264685
DOI: 10.21258/1813998
title: Swiss national forest inventory - Result table No. 1408710
DOI: 10.21258/1813999
title: Swiss national forest inventory - Result table No. 1408718
DOI: 10.21258/1814000
title: Swiss national forest inventory - Result table No. 1408732
DOI: 10.21258/1814001
title: Swiss national forest inventory - Result table No. 1408743
DOI: 10.21258/1814002
title: Swiss national forest inventory - Result table No. 1408749
DOI: 10.21258/1814003
title: Swiss national forest inventory - Result table No. 1408770
DOI: 10.21258/1814004
title: Swiss national forest inventory - Result table No. 1258076
DOI: 10.21258/1814005
title: Swiss national forest inventory - Result table No. 1257466
DOI: 10.21258/1814006
title: Swiss national forest inventory - Result table No. 1259794
DOI: 10.21258/1814007
title: Swiss national forest inventory - Result table No. 1256641
DOI: 10.21258/1814008
title: Swiss national forest inventory - Result table No. 1257578
DOI: 10.21258/1814009
title: Swiss national forest inventory - Result table No. 1259024
DOI: 10.21258/1814010
title: Swiss national forest inventory - Result table No. 1257748
DOI: 10.21258/1814011
title: Swiss national forest inventory - Result table No. 1259730
DOI: 10.21258/1814012
title: Swiss national forest inventory - Result table No. 1262277
DOI: 10.21258/1814013
title: Swiss national forest inventory - Result table No. 1262750
DOI: 10.21258/1814014
title: Swiss national forest inventory - Result table No. 1261030
DOI: 10.21258/1814015
title: Swiss national forest inventory - Result table No. 1261342
DOI: 10.21258/1813982
title: Swiss national forest inventory - Result table No. 1392306