cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/06795
title: Chandra X-ray Observatory ObsId 06795

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06796
title: Chandra X-ray Observatory ObsId 06796

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06797
title: Chandra X-ray Observatory ObsId 06797

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06798
title: Chandra X-ray Observatory ObsId 06798

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06799
title: Chandra X-ray Observatory ObsId 06799

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06800
title: Chandra X-ray Observatory ObsId 06800

description: AGN in the Outskirts of Low-Redshift Clusters of Galaxies
DOI: 10.25574/06801
title: Chandra X-ray Observatory ObsId 06801

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.25574/06802
title: Chandra X-ray Observatory ObsId 06802

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.15468/dl.n8r7qu
title: Occurrence Download

description: A dataset containing 55183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictalurus punctatus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 55183 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/06803
title: Chandra X-ray Observatory ObsId 06803

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.15468/dl.kcuk84
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.337149 35.244383, 114.251218 35.238804, 114.167437 35.222207, 114.0879 35.195007, 114.01459 35.157885, 113.949328 35.111765, 113.893725 35.057799, 113.849145 34.997328, 113.816669 34.931855, 113.797072 34.863, 113.790806 34.792466, 113.797991 34.721992, 113.818417 34.653309, 113.85155 34.588103, 113.896553 34.52797, 113.952301 34.474377, 114.017418 34.428631, 114.090305 34.391846, 114.169184 34.364914, 114.252136 34.348488, 114.337149 34.342969, 114.422161 34.348488, 114.505114 34.364914, 114.583993 34.391846, 114.65688 34.428631, 114.721997 34.474377, 114.777745 34.52797, 114.822748 34.588103, 114.855881 34.653309, 114.876307 34.721992, 114.883492 34.792466, 114.877226 34.863, 114.857629 34.931855, 114.825153 34.997328, 114.780572 35.057799, 114.72497 35.111765, 114.659708 35.157885, 114.586398 35.195007, 114.506861 35.222207, 114.42308 35.238804, 114.337149 35.244383))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055074-251120083545085/datasets/export for details.
DOI: 10.25574/06804
title: Chandra X-ray Observatory ObsId 06804

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.5281/zenodo.17954840
title: Analyte profiling by stochastic dynamics mass spectrometry for sewage sludge valorization (supporting information)

description: Supporting information data on the entitled contribution.
DOI: 10.5281/zenodo.17954839
title: Analyte profiling by stochastic dynamics mass spectrometry for sewage sludge valorization (supporting information)

description: Supporting information data on the entitled contribution.
DOI: 10.25574/06805
title: Chandra X-ray Observatory ObsId 06805

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.25574/06806
title: Chandra X-ray Observatory ObsId 06806

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.5281/zenodo.17954910
title: فوتون و انتقال تراکم در انرژی تاریک

description: فوتون، تجلی نوسانات انرژی تاریک است که به طور موقت از حالتتعادل خارج شده و به محیط بازمیگردد
DOI: 10.5281/zenodo.17954909
title: فوتون و انتقال تراکم در انرژی تاریک

description: فوتون، تجلی نوسانات انرژی تاریک است که به طور موقت از حالتتعادل خارج شده و به محیط بازمیگردد
DOI: 10.25574/06807
title: Chandra X-ray Observatory ObsId 06807

description: X-ray Observations of Optically-Selected Type II Quasars
DOI: 10.25574/06808
title: Chandra X-ray Observatory ObsId 06808

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06809
title: Chandra X-ray Observatory ObsId 06809

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06810
title: Chandra X-ray Observatory ObsId 06810

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06811
title: Chandra X-ray Observatory ObsId 06811

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06812
title: Chandra X-ray Observatory ObsId 06812

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06813
title: Chandra X-ray Observatory ObsId 06813

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.5281/zenodo.17059130
title: Supplemental Data for: Early life-stage thermal resilience is determined by climate-linked regulatory variation

description: For: 






AlleleAges.VA.cm_GEVA.txt





Column Names:

id: internal idposition: Position in dm6    MarkerID: Focal variant; internal ID of the markerClock: The clock model used; mutation clock (M), recombination clock (R), joint clock (J).Filtered: Was allele age computed before (0) or after (1) quality control (heuristic filtering of pairs)?N_Concordant : The number of available concordant pairs (before or after filtering).N_Discordant : The number of available discordant pairs (before or after filtering).PostMean : The mean of the composite posterior distribution.PostMode : The mode of the composite posterior distribution.PostMedian : The median of the composite posterior distribution.array_ID: internal computational variable for the UVM supercomputer
DOI: 10.6084/m9.figshare.30896348
title: Use of chiropractic, physiotherapy, and municipal rehabilitation before and after secondary care assessment for spinal pain: a Danish cohort study

description: Spinal pain is a leading cause of disability worldwide, yet care pathways often remain fragmented despite international recommendations for integrated management. In Denmark, individuals with spinal pain may be referred to secondary care spine centres for specialised assessment. To examine patterns and determinants of chiropractic, physiotherapy, and municipal rehabilitation service use before and after secondary care assessment for spinal pain in Denmark. We conducted a registry-based cohort study of 48,607 adults assessed at the Spine Centre of Southern Denmark (2016–2021), linking clinical registry data with national health, education, income, and social benefit registries. Healthcare utilisation one year before and after assessment was analysed using Poisson regression to estimate adjusted relative risks (RRs) for continued or new chiropractic and/or physiotherapy use, stratified by municipal rehabilitation referral and adjusted for sociodemographic, socioeconomic, and clinical factors. Previous chiropractic (RR = 4.79, 95% CI 4.52–5.08) and physiotherapy (RR = 2.42, 95% CI 2.31–2.52) use were strongly associated with continued care. Initiation after secondary care was limited (8% chiropractic; 18% physiotherapy), and 37% had no recorded post-assessment care. This proportion corresponds to 17,984 of the 48,607 included patients who had no registered physiotherapy or chiropractic consultations at any point during the 12 months following their secondary care assessment. Lower use was associated with lower socioeconomic status, longer symptom duration, and higher disability. Municipal rehabilitation referral was linked to lower new care initiation but slightly higher continuation rates. Care continuity after secondary spine centre assessment is primarily associated with previous use and socioeconomic factors and varies by municipal rehabilitation referral. Structural and financial barriers may hinder equitable access to recommended conservative care.
DOI: 10.25574/06814
title: Chandra X-ray Observatory ObsId 06814

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.6084/m9.figshare.30896348.v1
title: Use of chiropractic, physiotherapy, and municipal rehabilitation before and after secondary care assessment for spinal pain: a Danish cohort study

description: Spinal pain is a leading cause of disability worldwide, yet care pathways often remain fragmented despite international recommendations for integrated management. In Denmark, individuals with spinal pain may be referred to secondary care spine centres for specialised assessment. To examine patterns and determinants of chiropractic, physiotherapy, and municipal rehabilitation service use before and after secondary care assessment for spinal pain in Denmark. We conducted a registry-based cohort study of 48,607 adults assessed at the Spine Centre of Southern Denmark (2016–2021), linking clinical registry data with national health, education, income, and social benefit registries. Healthcare utilisation one year before and after assessment was analysed using Poisson regression to estimate adjusted relative risks (RRs) for continued or new chiropractic and/or physiotherapy use, stratified by municipal rehabilitation referral and adjusted for sociodemographic, socioeconomic, and clinical factors. Previous chiropractic (RR = 4.79, 95% CI 4.52–5.08) and physiotherapy (RR = 2.42, 95% CI 2.31–2.52) use were strongly associated with continued care. Initiation after secondary care was limited (8% chiropractic; 18% physiotherapy), and 37% had no recorded post-assessment care. This proportion corresponds to 17,984 of the 48,607 included patients who had no registered physiotherapy or chiropractic consultations at any point during the 12 months following their secondary care assessment. Lower use was associated with lower socioeconomic status, longer symptom duration, and higher disability. Municipal rehabilitation referral was linked to lower new care initiation but slightly higher continuation rates. Care continuity after secondary spine centre assessment is primarily associated with previous use and socioeconomic factors and varies by municipal rehabilitation referral. Structural and financial barriers may hinder equitable access to recommended conservative care.
DOI: 10.5281/zenodo.17059129
title: Supplemental Data for: Early life-stage thermal resilience is determined by climate-linked regulatory variation

description: For: 






AlleleAges.VA.cm_GEVA.txt





Column Names:

id: internal idposition: Position in dm6    MarkerID: Focal variant; internal ID of the markerClock: The clock model used; mutation clock (M), recombination clock (R), joint clock (J).Filtered: Was allele age computed before (0) or after (1) quality control (heuristic filtering of pairs)?N_Concordant : The number of available concordant pairs (before or after filtering).N_Discordant : The number of available discordant pairs (before or after filtering).PostMean : The mean of the composite posterior distribution.PostMode : The mode of the composite posterior distribution.PostMedian : The median of the composite posterior distribution.array_ID: internal computational variable for the UVM supercomputer
DOI: 10.25574/06815
title: Chandra X-ray Observatory ObsId 06815

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06816
title: Chandra X-ray Observatory ObsId 06816

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06817
title: Chandra X-ray Observatory ObsId 06817

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06819
title: Chandra X-ray Observatory ObsId 06819

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06820
title: Chandra X-ray Observatory ObsId 06820

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06821
title: Chandra X-ray Observatory ObsId 06821

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06822
title: Chandra X-ray Observatory ObsId 06822

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.5281/zenodo.16647725
title: Fast prediction of the hydrodynamic QGP evolution in ultra-relativistic heavy-ion collisions using Fourier Neural Operators

description: Supporting data and models for FNO models in QGP flow (https://doi.org/10.1103/jsh8-6tm7)

Three PyTorch models here for QGP flow in 200 GeV Au_Au collisions, using nucleon width of 1.12 fm unless otherwise marked:



model_10K_central.pt : trained on 10,000 0-10% central events

model_10K_peripheral.pt : trained on 10,000 40-60% central events

model_500_of_four_types.py : trained on 500 0-10% central events, 500 40-60% central events, and 500 more central and periphral events with nucleon widths of 0.8 fm. (For 2,000 total events).


These three models have been traced for used with JETSCAPE. The traced models are also attached as files:



    traced_JS3.7_10k_3feat_fno_model_cpu_0_10_59bins.pt

    traced_JS3.7_10k_3feat_fno_model_cpu_40_60_59bins.pt

    traced_JS3.7_2k_3feat_fno_model_cpu_4types_59bins.pt


To use a PyTorch model with python, use one of the three numbered models above:

There are also seven sets of event data. These are formatted and TTrees containing a single branch array floats of length 648,000 per event. To make sense, they can be resized in as: np.reshape(data_array, (n_events, 3, 60, 60, 60)), where the indices are [i_event, i_param, i_x, i_y, i_tau[, and i_param indeces (as shown to the left) 0..3 (for energy density, vx, and vy).

The data sets are:





cent_0_10_10K_events_flat_xy60_t60.root : 10,000 central events (used to train the model_10K_central.pt)




cent_40_60_10K_events_flat_xy60_t60.root : 10,000 peripheral events (used to train the model _10K_peripheral.pt)




sample101_40_60_nw9p6_flat_xy60_t60.root : 101 peripheral events with nucleon width = 9.6 fm




sample2K_0_10_flat_xy60_t60.root : 2,000 central events




sample2K_0_10_spikey_flat_xy60_t60.root : 2,000 central events, nucleon width = 0.8 fm




sample2K_40_60_flat_xy60_t60.root : 2,000 peripheral events




sample2K_40_60_spikey_flat_xy60_t60.root : 2,000 peripheral events, nucleon width = 0.8 fm
DOI: 10.5281/zenodo.16647726
title: Fast prediction of the hydrodynamic QGP evolution in ultra-relativistic heavy-ion collisions using Fourier Neural Operators

description: Supporting data and models for FNO models in QGP flow (https://doi.org/10.1103/jsh8-6tm7)

Three PyTorch models here for QGP flow in 200 GeV Au_Au collisions, using nucleon width of 1.12 fm unless otherwise marked:



model_10K_central.pt : trained on 10,000 0-10% central events

model_10K_peripheral.pt : trained on 10,000 40-60% central events

model_500_of_four_types.py : trained on 500 0-10% central events, 500 40-60% central events, and 500 more central and periphral events with nucleon widths of 0.8 fm. (For 2,000 total events).


These three models have been traced for used with JETSCAPE. The traced models are also attached as files:



    traced_JS3.7_10k_3feat_fno_model_cpu_0_10_59bins.pt

    traced_JS3.7_10k_3feat_fno_model_cpu_40_60_59bins.pt

    traced_JS3.7_2k_3feat_fno_model_cpu_4types_59bins.pt


To use a PyTorch model with python, use one of the three numbered models above:

There are also seven sets of event data. These are formatted and TTrees containing a single branch array floats of length 648,000 per event. To make sense, they can be resized in as: np.reshape(data_array, (n_events, 3, 60, 60, 60)), where the indices are [i_event, i_param, i_x, i_y, i_tau[, and i_param indeces (as shown to the left) 0..3 (for energy density, vx, and vy).

The data sets are:





cent_0_10_10K_events_flat_xy60_t60.root : 10,000 central events (used to train the model_10K_central.pt)




cent_40_60_10K_events_flat_xy60_t60.root : 10,000 peripheral events (used to train the model _10K_peripheral.pt)




sample101_40_60_nw9p6_flat_xy60_t60.root : 101 peripheral events with nucleon width = 9.6 fm




sample2K_0_10_flat_xy60_t60.root : 2,000 central events




sample2K_0_10_spikey_flat_xy60_t60.root : 2,000 central events, nucleon width = 0.8 fm




sample2K_40_60_flat_xy60_t60.root : 2,000 peripheral events




sample2K_40_60_spikey_flat_xy60_t60.root : 2,000 peripheral events, nucleon width = 0.8 fm
DOI: 10.25574/06823
title: Chandra X-ray Observatory ObsId 06823

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06824
title: Chandra X-ray Observatory ObsId 06824

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06825
title: Chandra X-ray Observatory ObsId 06825

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06826
title: Chandra X-ray Observatory ObsId 06826

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06827
title: Chandra X-ray Observatory ObsId 06827

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06828
title: Chandra X-ray Observatory ObsId 06828

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06829
title: Chandra X-ray Observatory ObsId 06829

description: Chandra ACIS Snapshot Observations of the Most Luminous Quasars from the Sloan Digital Sky Survey
DOI: 10.25574/06830
title: Chandra X-ray Observatory ObsId 06830

description: The influence of X-ray gas on the dynamics of the Z-shaped radio galaxy NGC 326
DOI: 10.25574/06831
title: Chandra X-ray Observatory ObsId 06831

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06832
title: Chandra X-ray Observatory ObsId 06832

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06833
title: Chandra X-ray Observatory ObsId 06833

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06834
title: Chandra X-ray Observatory ObsId 06834

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06835
title: Chandra X-ray Observatory ObsId 06835

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06836
title: Chandra X-ray Observatory ObsId 06836

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06837
title: Chandra X-ray Observatory ObsId 06837

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06838
title: Chandra X-ray Observatory ObsId 06838

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06839
title: Chandra X-ray Observatory ObsId 06839

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06840
title: Chandra X-ray Observatory ObsId 06840

description: Measuring the Size of a Quasar With Microlensing
DOI: 10.25574/06841
title: Chandra X-ray Observatory ObsId 06841

description: Particle acceleration and the nature of multiple hotspots in FRII radio galaxies
DOI: 10.25574/06842
title: Chandra X-ray Observatory ObsId 06842

description: Particle acceleration and the nature of multiple hotspots in FRII radio galaxies
DOI: 10.25574/06843
title: Chandra X-ray Observatory ObsId 06843

description: Shock heating in the nearby radio galaxy NGC 3801
DOI: 10.25574/06844
title: Chandra X-ray Observatory ObsId 06844

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.25574/06845
title: Chandra X-ray Observatory ObsId 06845

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.25574/06846
title: Chandra X-ray Observatory ObsId 06846

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.15468/dl.prqpq8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.363787 35.31279, 114.277784 35.307211, 114.193932 35.290614, 114.114329 35.263414, 114.040958 35.226291, 113.975642 35.180172, 113.919993 35.126206, 113.875377 35.065735, 113.842875 35.000262, 113.823262 34.931408, 113.816992 34.860875, 113.824184 34.790401, 113.844628 34.721719, 113.87779 34.656515, 113.92283 34.596382, 113.978625 34.542791, 114.043795 34.497046, 114.116742 34.460261, 114.195686 34.43333, 114.278705 34.416905, 114.363787 34.411386, 114.448869 34.416905, 114.531889 34.43333, 114.610832 34.460261, 114.683779 34.497046, 114.74895 34.542791, 114.804744 34.596382, 114.849784 34.656515, 114.882946 34.721719, 114.90339 34.790401, 114.910582 34.860875, 114.904312 34.931408, 114.8847 35.000262, 114.852198 35.065735, 114.807581 35.126206, 114.751933 35.180172, 114.686616 35.226291, 114.613245 35.263414, 114.533642 35.290614, 114.449791 35.307211, 114.363787 35.31279))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055076-251120083545085/datasets/export for details.
DOI: 10.25574/06847
title: Chandra X-ray Observatory ObsId 06847

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.25574/06848
title: Chandra X-ray Observatory ObsId 06848

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.25574/06849
title: Chandra X-ray Observatory ObsId 06849

description: Unveiling obscured AGNs in close pairs of similar sized galaxies
DOI: 10.25574/06850
title: Chandra X-ray Observatory ObsId 06850

description: Unveiling obscured AGNs in close pairs of similar sized galaxies