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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Month is greater than or equal to August",
 "Country is Australia",
 "TaxonKey is Lantana camara L."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002240-150811131857512/datasets/export for details.
DOI: 10.15468/dl.nfjclp
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Daphnia lumholtzi Sars, 1885",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 356 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082073-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.encgd3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2014",
 "Month is greater than or equal to November",
 "Country is Australia",
 "TaxonKey is Mimosa pigra L."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002266-150811131857512/datasets/export for details.
DOI: 10.15468/dl.ygxhpv
title: Occurrence Download

description: A dataset containing 2145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON((-99.299926 20.233851,-99.304046 20.099785,-99.124145 20.061091,-98.989562 20.062381,-98.901672 20.159098,-98.920898 20.187457,-98.977203 20.223543,-99.070587 20.236428,-99.147491 20.246736,-99.299926 20.233851))"
 ]
}

 The dataset includes 2145 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082078-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22g4g6
title: Occurrence Download

description: A dataset containing 417445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica, Panama)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fabaceae",
 "Year 1950-2023"
 ]
}

 The dataset includes 417445 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006162-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.8d8f33e4fcb640abb2269ec61ad7213c
title: Maritime traffic from the Asturian coast

description: Dataset of the maritime traffic registered by citizen science from the estuaries of Nalón, Alvares and Sella (Asturias, Spain) between December 2023 and February 2024
DOI: 10.15468/dl.mss6sp
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((5.94845 44.99735,9.32672 44.99735,9.32672 46.62735,5.94845 46.62735,5.94845 44.99735))",
 "HasGeospatialIssue is false",
 "TaxonKey is Euphydryas aurinia (Rottemburg, 1775)"
 ]
}

 The dataset includes 236 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020853-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10552177
title: Spatiotemporal Upscaling of Sparse Air-Sea pCO2 Data via Physics-Informed Transfer Learning

description: Global measurements of ocean pCO2 are critical to monitor and understand changes in the global carbon cycle. However, pCO2 observations remain sparse as they are mostly collected on opportunistic ship tracks. Several approaches, especially based on machine learning, have been used to upscale and extrapolate sparse point data to dense global estimates based on globally available input features. However, those estimates tend to exhibit spatially heterogeneous performance. As a result, we propose a physics-informed transfer learning workflow to generate dense pCO2 estimates. The model is initially trained on synthetic Earth system model data, and then adjusted (using transfer learning) to the actual sparse SOCAT observational data, thus leveraging both the spatial and temporal correlation pre-learned on physically-informed Earth system ensembles. Compared to the benchmark upscaling of SOCAT point-wise data on baseline models, our transfer learning methodology shows a major improvement of up to 30-52%. Our strategy thus presents a new monthly global pCO2 estimates that spans for 35 years between 1982 and 2017.
DOI: 10.5281/zenodo.10552176
title: Spatiotemporal Upscaling of Sparse Air-Sea pCO2 Data via Physics-Informed Transfer Learning

description: Global measurements of ocean pCO2 are critical to monitor and understand changes in the global carbon cycle. However, pCO2 observations remain sparse as they are mostly collected on opportunistic ship tracks. Several approaches, especially based on machine learning, have been used to upscale and extrapolate sparse point data to dense global estimates based on globally available input features. However, those estimates tend to exhibit spatially heterogeneous performance. As a result, we propose a physics-informed transfer learning workflow to generate dense pCO2 estimates. The model is initially trained on synthetic Earth system model data, and then adjusted (using transfer learning) to the actual sparse SOCAT observational data, thus leveraging both the spatial and temporal correlation pre-learned on physically-informed Earth system ensembles. Compared to the benchmark upscaling of SOCAT point-wise data on baseline models, our transfer learning methodology shows a major improvement of up to 30-52%. Our strategy thus presents a new monthly global pCO2 estimates that spans for 35 years between 1982 and 2017.
DOI: 10.5283/epub.58403
title: Data archive of "Tuning Confined States and Valley G-Factors by Quantum Dot Design in Bilayer Graphene"

description: Dataset of the figures displayed in the publication
DOI: 10.15468/dl.nacgqg
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ammopiptanthus nanus (Popov) S.H.Cheng"
 ]
}

 The dataset includes 80 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020854-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcqdke
title: Occurrence Download

description: A dataset containing 285413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix alba L."
 ]
}

 The dataset includes 285413 records from 2203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020851-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un5m33
title: Occurrence Download

description: A dataset containing 2088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Symphytum grandiflorum DC.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2088 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0283180-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x85cev
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carphoborus minimus (J.C.Fabricius, 1798)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0367818-210914110416597/datasets/export for details.
DOI: 10.15468/dl.euwj5r
title: Occurrence Download

description: A dataset listing the 73 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.09183 6.53573,-75.07782 6.53573,-75.07782 6.55768,-75.09183 6.55768,-75.09183 6.53573))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 73 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119304-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gb9aj
title: Occurrence Download

description: A dataset containing 708377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunella vulgaris L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 708377 records from 2120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119301-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/00959
title: Chandra X-ray Observatory ObsId 00959

description: MULTIWAVELENGTH TOO OBSERVATIONS OF BRIGHT NOVAE IN OUTBURST
DOI: 10.25574/00962
title: Chandra X-ray Observatory ObsId 00962

description: NGC5128: BINARY SOURCES IN THE NEAREST ELLIPTICAL GALAXY
DOI: 10.25574/00964
title: Chandra X-ray Observatory ObsId 00964

description: DEEP SURVEY OF THE LOCKMAN HOLE
DOI: 10.25574/00970
title: Chandra X-ray Observatory ObsId 00970

description: THE SUPERNOVA REMNANT AND NEUTRON STAR RCW 103
DOI: 10.25574/00971
title: Chandra X-ray Observatory ObsId 00971

description: OBSERVATION OF BROWN DWARF
DOI: 10.25574/00972
title: Chandra X-ray Observatory ObsId 00972

description: OBSERVATION OF M17
DOI: 10.5281/zenodo.17589960
title: Database-Aware Service Decomposition: Appendix
DOI: 10.5281/zenodo.17589961
title: Database-Aware Service Decomposition: Appendix
DOI: 10.25574/00973
title: Chandra X-ray Observatory ObsId 00973

description: OBSERVATION OF M-DWARF SYSTEM
DOI: 10.25574/00977
title: Chandra X-ray Observatory ObsId 00977

description: STAR FORMING REGION NGC 6530
DOI: 10.25574/00978
title: Chandra X-ray Observatory ObsId 00978

description: THE M 16 STAR-FORMING REGION
DOI: 10.25574/00981
title: Chandra X-ray Observatory ObsId 00981

description: OBSERVATION OF SCO-CEN OUTLYERS
DOI: 10.25574/00982
title: Chandra X-ray Observatory ObsId 00982

description: OBSERVATION OF SCO-CEN OUTLYERS
DOI: 10.25574/00983
title: Chandra X-ray Observatory ObsId 00983

description: OBSERVATION OF SCO-CEN OUTLYERS
DOI: 10.25574/00986
title: Chandra X-ray Observatory ObsId 00986

description: CALIBRATION OBSERVATIONS OF VEGA TO MONITOR THE TRANSMISSION OF THE OPTICAL/UV FILTERS ON ACIS AND HRC
DOI: 10.25574/00987
title: Chandra X-ray Observatory ObsId 00987

description: CALIBRATION OBSERVATIONS OF VEGA TO MONITOR THE TRANSMISSION OF THE OPTICAL/UV FILTERS ON ACIS AND HRC
DOI: 10.25574/00996
title: Chandra X-ray Observatory ObsId 00996

description: HRC-I CALIBRATION OBSERVATIONS OF ARLAC
DOI: 10.25574/00999
title: Chandra X-ray Observatory ObsId 00999

description: HRC-I CALIBRATION OBSERVATION OF NGC2516
DOI: 10.5281/zenodo.17952498
title: Anonymised code and data for 'Comparing mean species abundance and the biodiversity intactness index to guide robust biodiversity investment decisions'
DOI: 10.25574/01007
title: Chandra X-ray Observatory ObsId 01007

description: CV AND QLMXB LUMINOSITY FUNCTION IN THE EXTREME GLOBULAR M80
DOI: 10.5281/zenodo.17952497
title: Anonymised code and data for 'Comparing mean species abundance and the biodiversity intactness index to guide robust biodiversity investment decisions'
DOI: 10.25574/01008
title: Chandra X-ray Observatory ObsId 01008

description: HRC-I FOCUS CHECK
DOI: 10.25574/01031
title: Chandra X-ray Observatory ObsId 01031

description: OBSERVATION OF MKR 231
DOI: 10.5281/zenodo.17846307
title: MixtureSolDB, dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures

description: MixtureSolDB contains 175626 experimental solubility values within a temperature range from 252 to 383 K for 813 organic compounds as well as 3023 unique solute-binary solvent systems as well as 750 unique binary solvent mixtures extracted from 1119 peer-reviewed articles.

If you need a dataset for mono-solvents, BigSolDB 2.0 is available here: https://doi.org/10.5281/zenodo.15094979



The 17 columns of this dataset are explained as follows:



SMILES_Solute — SMILES representation of the solute molecule

Temperature_K — temperature for the reported solubility value, K

Solubility(mole_fraction) — the reported solubility value expressed as mole fraction of solute

LogS(mole_fraction) — decimal logarithm of the solubility expressed as mole fraction of solute

Solubility(g/100g) — the recalculated solubility value expressed as grams of solute per 100 g of solvent

LogS(g/100g) — decimal logarithm of the solubility expressed as grams of solute per 100 g of solvent

Solvent1 — name of the first solvent component in the solvent mixture

Solvent2 — name of the second solvent component in the solvent mixture

SMILES_Solvent1 — SMILES representation of the first solvent component

SMILES_Solvent2 — SMILES representation of the second solvent component

Fraction_Solvent1 — initial fraction of the first solvent component in the solvent mixture (before solute addition), expressed according to Fraction_Type

Fraction_Type — fraction type for Fraction_Solvent1 ('mole' for mole fraction, 'mass' for mass fraction)

Compound_Name — solute name

CAS — solute CAS number

PubChem_CID — solute PubChem_CID

FDA_Approved — designation if the solute is a FDA approved drug. ‘Yes’ is stated for FDA approved drugs while ‘No’ is stated for others.

Source — DOI of a data source for given values





Online visualization and search across the dataset are available here: https://mixturesoldb.streamlit.app/
DOI: 10.25574/01032
title: Chandra X-ray Observatory ObsId 01032

description: NEAREST SNR
DOI: 10.6084/m9.figshare.30894113
title: Attention on visual disgust: comparison of intentional and unintentional gaze on disgusting images

description: Disgust-eliciting stimuli have been shown to both capture attention, even when task-irrelevant, and to be visually avoided when alternative stimuli are available. This study investigated these effects across two experiments conducted from June to December 2024. In the first experiment, disgust-eliciting images served as distractors, while in the second, the same images were designated as targets. Additionally, four categories of disgust-eliciting stimuli representing different threats – disgusting animals and spoiled food (ancestral/core disgust), diseases and pollution (modern/contamination disgust) – were compared to assess the generality of the observed effects. Using a sample of over 100 participants, we replicated the distracting effect of disgust-eliciting stimuli across all categories except spoiled food. However, no differences in involuntary visual attention were observed between disgust-eliciting and neutral stimuli, suggesting that the distraction effect comes from cognitive processing rather than automatic visual capture. In the aimed viewing experiment, participants thoroughly scanned disgusting stimuli rather than avoiding them, with distinct scanning patterns emerging for each stimulus category. These patterns are discussed in relation to their functional significance. Finally, we highlight a pronounced difference in intentional versus unintentional gazing patterns for pollution stimuli, offering insights that may be of interest to environmental psychologists.
DOI: 10.6084/m9.figshare.30894113.v1
title: Attention on visual disgust: comparison of intentional and unintentional gaze on disgusting images

description: Disgust-eliciting stimuli have been shown to both capture attention, even when task-irrelevant, and to be visually avoided when alternative stimuli are available. This study investigated these effects across two experiments conducted from June to December 2024. In the first experiment, disgust-eliciting images served as distractors, while in the second, the same images were designated as targets. Additionally, four categories of disgust-eliciting stimuli representing different threats – disgusting animals and spoiled food (ancestral/core disgust), diseases and pollution (modern/contamination disgust) – were compared to assess the generality of the observed effects. Using a sample of over 100 participants, we replicated the distracting effect of disgust-eliciting stimuli across all categories except spoiled food. However, no differences in involuntary visual attention were observed between disgust-eliciting and neutral stimuli, suggesting that the distraction effect comes from cognitive processing rather than automatic visual capture. In the aimed viewing experiment, participants thoroughly scanned disgusting stimuli rather than avoiding them, with distinct scanning patterns emerging for each stimulus category. These patterns are discussed in relation to their functional significance. Finally, we highlight a pronounced difference in intentional versus unintentional gazing patterns for pollution stimuli, offering insights that may be of interest to environmental psychologists.
DOI: 10.25574/01037
title: Chandra X-ray Observatory ObsId 01037

description: G0.9+0.1 AND G74.9+1.2
DOI: 10.25574/01039
title: Chandra X-ray Observatory ObsId 01039

description: ACIS OBSERVATION OF THE LMC SUPERNOVA REMNANT N23
DOI: 10.25574/01040
title: Chandra X-ray Observatory ObsId 01040

description: OBSERVATION OF SNR RCW103
DOI: 10.25574/01041
title: Chandra X-ray Observatory ObsId 01041

description: OBSERVATION OF SNR N49B
DOI: 10.25574/01042
title: Chandra X-ray Observatory ObsId 01042

description: ACIS OBSERVATION OF THE SUPERNOVA REMNANT 3C397
DOI: 10.25574/01044
title: Chandra X-ray Observatory ObsId 01044

description: SN1987A MONITORING
DOI: 10.6084/m9.figshare.30894089
title: 论文《华北克拉通辽东半岛白云金矿床成矿背景及成因类型》参考文献

description: 您好，《地学前缘》期刊论文《华北克拉通辽东半岛白云金矿床成矿背景及成因类型》（DOI: 10.13745/j.esf.sf.2025.1.41）的参考文献信息，请点击“Download”下载查看，谢谢！
DOI: 10.6084/m9.figshare.30894089.v1
title: 论文《华北克拉通辽东半岛白云金矿床成矿背景及成因类型》参考文献

description: 您好，《地学前缘》期刊论文《华北克拉通辽东半岛白云金矿床成矿背景及成因类型》（DOI: 10.13745/j.esf.sf.2025.1.41）的参考文献信息，请点击“Download”下载查看，谢谢！
DOI: 10.15468/66pmha
title: DOC eDNA public records 2021

description: This dataset contains information on the occurrences of organisms from various projects and locations across Aotearoa. It is a representative dataset for DOC public records.
DOI: 10.25574/01047
title: Chandra X-ray Observatory ObsId 01047

description: GAMMA-RAY BURSTS: DISCOVERING THE PROGENITORS AND UNDERSTANDING THE EXPLOSION
DOI: 10.25574/01048
title: Chandra X-ray Observatory ObsId 01048

description: GAMMA-RAY BURSTS: DISCOVERING THE PROGENITORS AND UNDERSTANDING THE EXPLOSION
DOI: 10.25574/01308
title: Chandra X-ray Observatory ObsId 01308

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01311
title: Chandra X-ray Observatory ObsId 01311

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01312
title: Chandra X-ray Observatory ObsId 01312

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.15468/dl.mvunr8
title: Occurrence Download

description: A dataset containing 10020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Geometry POLYGON((-90.19 32.23,-79.14 32.23,-79.14 38.75,-90.19 38.75,-90.19 32.23))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Cercis canadensis"
 ]
}

 The dataset includes 10020 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054807-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/01313
title: Chandra X-ray Observatory ObsId 01313

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01314
title: Chandra X-ray Observatory ObsId 01314

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01315
title: Chandra X-ray Observatory ObsId 01315

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01316
title: Chandra X-ray Observatory ObsId 01316

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01317
title: Chandra X-ray Observatory ObsId 01317

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01432
title: Chandra X-ray Observatory ObsId 01432

description: ACIS CHIP RESPONSE TO A CONTINUUM SOURCE
DOI: 10.25574/01478
title: Chandra X-ray Observatory ObsId 01478

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.5519/qd.chyzmpxr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (163 records)
DOI: 10.25574/01510
title: Chandra X-ray Observatory ObsId 01510

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01520
title: Chandra X-ray Observatory ObsId 01520

description: FOLLOW-UP OBSERVATIONS OF SN1999GI IN NGC 3184
DOI: 10.25574/01521
title: Chandra X-ray Observatory ObsId 01521

description: MASS DISTRIBUTIONS OF RELAXED CLUSTERS
DOI: 10.25574/01522
title: Chandra X-ray Observatory ObsId 01522

description: YOUNG STARS IN THE ORION TRAPEZIUM CLUSTER
DOI: 10.25574/01523
title: Chandra X-ray Observatory ObsId 01523

description: ORIGIN OF THE GALACTIC RIDGE X-RAY EMISSION
DOI: 10.25574/01525
title: Chandra X-ray Observatory ObsId 01525

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01526
title: Chandra X-ray Observatory ObsId 01526

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)
DOI: 10.25574/01527
title: Chandra X-ray Observatory ObsId 01527

description: ACIS CALIBRATION OBSERVATION OF THE SUPERNOVA REMNANT E0102-72 (DEC 2000)