cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.obs.20766
title: Chandra X-ray Observatory ObsId 20766

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22871
title: Chandra X-ray Observatory ObsId 22871

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.04100
title: Chandra X-ray Observatory ObsId 04100

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.14380
title: Chandra X-ray Observatory ObsId 14380

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17198
title: Chandra X-ray Observatory ObsId 17198

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19772
title: Chandra X-ray Observatory ObsId 19772

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.48577/jpl.myfffr
title: An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle

description: —Estimating the landscape and soil freeze-thaw (FT) dynamics in the Northern Hemisphere is crucial for under standing permafrost response to global warming and changes in regional and global carbon budgets. A new framework for surface FT-cycle retrievals using L-band microwave radiometry based on a deep convolutional autoencoder neural network is presented. This framework defines the landscape FT-cycle retrieval as a time series anomaly detection problem, considering the frozen states as normal and the thawed states as anomalies. The autoencoder retrieves the FT-cycle probabilistically through supervised reconstruction of the brightness temperature (TB) time series using a contrastive loss function that minimizes (maximizes) the reconstruction error for the peak winter (summer). Using the data provided by the Soil Moisture Active Passive (SMAP) satellite, it is demonstrated that the framework learns to isolate the landscape FT states over different land surface types with varying complexities related to the radiometric characteristics of snow cover, lake-ice phenology, and vegetation canopy. The consistency of the retrievals is assessed over Alaska using in situ observations, demonstrating an 11% improvement in accuracy and reduced uncertainties compared to traditional methods that rely on thresholding the normalized polarization ratio.
DOI: 10.48577/jpl.vsdzh7
title: Ground Laser Receivers for the Deep Space Optical Communications Demonstration: Performance and lessons learned from first year of operations

description: No abstract available.
DOI: 10.25574/csc2.obs.19626
title: Chandra X-ray Observatory ObsId 19626

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.11556
title: Chandra X-ray Observatory ObsId 11556

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18634
title: Chandra X-ray Observatory ObsId 18634

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.2908/nama_10_exi
title: Exports and imports by counterpart area
title: Exportations et importations par zone
title: Exporte und Importe nach Ziel- bzw. Herkunftsgebiet
DOI: 10.25574/csc2.obs.15368
title: Chandra X-ray Observatory ObsId 15368

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19628
title: Chandra X-ray Observatory ObsId 19628

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17187
title: Chandra X-ray Observatory ObsId 17187

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.23081
title: Chandra X-ray Observatory ObsId 23081

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24848
title: Chandra X-ray Observatory ObsId 24848

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.48577/jpl.9jajkg
title: Overview of Deep Space Optical Communications (DSOC) technology demonstration

description: No abstract available.
DOI: 10.25574/csc2.obs.03832
title: Chandra X-ray Observatory ObsId 03832

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.48577/jpl.dshpze
title: A Separated Thinned Array Concept for Remote Sensing of Antarctic Ice Sheet Temperature

description: We present a concept for L band remote sensingof Antarctic ice sheet temperature using a separated thinnedinterferometric array. This concept leverages the relative stabilityof ice sheet thermal emission over long periods of time togradually assemble a collection of array baselines which arejointly transformed to develop large image facets. From anassessment of feasibility, we determine that such a system ispossible for achieving 1-10 kilometer spatial resolution overmonthly to yearly timescales with as few as 10-20 elements; evenfewer elements are required for sensing the ice sheet center. Theimage reconstruction problem is posed as a data constraint inthe Fourier domain with an total variational regularization in theimage domain. We use ice sheet thermomechanical and radiativetransfer modeling to develop realistic ice sheet images, and theseimages are used in observing system simulations to demonstratethe proposed approach.
DOI: 10.25574/csc2.obs.16273
title: Chandra X-ray Observatory ObsId 16273

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16242
title: Chandra X-ray Observatory ObsId 16242

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.2908/nama_10_cp18
title: Household final consumption expenditure by purpose (COICOP 2018)
title: Dépense de consommation finale des ménages par fonction de consommation (COICOP 2018)
title: Konsumausgaben der privaten Haushalte nach Verwendungszwecken (COICOP 2018)
DOI: 10.25574/csc2.obs.23193
title: Chandra X-ray Observatory ObsId 23193

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16049
title: Chandra X-ray Observatory ObsId 16049

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19629
title: Chandra X-ray Observatory ObsId 19629

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.2908/nama_10_nfa_bs
title: Capital stocks by sector and detailed asset type
title: Stocks de capital par secteur et par type d’actif détaillé
title: Kapitalbestände nach Sektoren und nach Art der Vermögenswerte
DOI: 10.48577/jpl.f8ftd8
title: NAVIGATION ANALYSIS FOR THE PRIMARY SCIENCE ORBITS OF PARKER SOLAR PROBE

description: No abstract available.
DOI: 10.25574/csc2.obs.04801
title: Chandra X-ray Observatory ObsId 04801

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22027
title: Chandra X-ray Observatory ObsId 22027

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.48577/jpl.u3cfvd
title: Terrestrial Demonstration of Orbital Mapping and Validation Capabilities over a Lunar Surface Analog

description: The Lunar Navigation Maps (LuNaMaps) project has improved existing tools and processes and developed new tools and processes to support the generation and validation of navigation maps of the lunar surface from orbital imagery. To demonstrate the advancements made through the LuNaMaps project, we con-ducted a terrestrial demonstration obtaining “orbital” imagery of the Lunar Sur-face Proving Ground (LSPG) at Astrobotic’s test facility in Mojave California. The LSPG is a 100 m by 100 m pad built to mimic the features and appearance of the lunar surface. In this paper we describe the planning and results of the test, including the capture of imagery for building the maps, the map building processes, building of a “truth map” using traditional surveying tools, and the map validation processes. We demonstrate how the built map compares to the “truth map” and how the validation processes provided insight to this compari-son. Additionally, we describe an upcoming partner test in which the naviga-tion maps will be used in a terrain relative navigation (TRN) technology demonstration over the same LSPG surface.
DOI: 10.15468/dl.bxbu8h
title: Occurrence Download

description: A dataset containing 33699 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus deltoides W.Bartram ex Marshall"
 ]
}

 The dataset includes 33699 records from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010443-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rabvcr
title: Occurrence Download

description: A dataset containing 15856 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus keeni (Rhoads, 1894)"
 ]
}

 The dataset includes 15856 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg7w3t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Limanda sakhalinensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146998-230224095556074/datasets/export for details.
DOI: 10.15468/dl.vvnd8g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Sabinea sarsii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147004-230224095556074/datasets/export for details.
DOI: 10.15468/dl.c9czue
title: Occurrence Download

description: A dataset containing 66156 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Numida meleagris (Linnaeus, 1758)"
 ]
}

 The dataset includes 66156 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3x57f
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND",
 "TaxonKey is Delias eucharis (Drury, 1773)"
 ]
}

 The dataset includes 1231 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147001-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ifr4f
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attila rufus (Vieillot, 1819)",
 "Geometry POLYGON((-52.65 -38.03,-52.65 -6.10,2.46 -6.10,2.46 -38.03,-52.65 -38.03))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 668 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2db9q8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis fuminicola W.W.Sm."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147019-230224095556074/datasets/export for details.
DOI: 10.15468/dl.lqkmtu
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonchura malacca (Linnaeus, 1766)",
 {
 "or" : [
 "Country is Puerto Rico",
 "Country is Cuba",
 "Country is Jamaica",
 "Country is Honduras",
 "Country is Mexico",
 "Country is Dominican Republic",
 "Country is Colombia",
 "Country is Costa Rica",
 "Country is Venezuela (Bolivarian Republic of)"
 ]
 }
 ]
}

 The dataset includes 350 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usdz6j
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis foetida C.Y.Wu & Z.Y.Su"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147005-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzrcay
title: Occurrence Download

description: A dataset containing 2008 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Análisis de la heterogeneidad ambiental y conectividad de las áreas naturales del sur del Valle de México"
 ]
}

 The dataset includes 2008 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvkame
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Poromitra capito)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147015-230224095556074/datasets/export for details.
DOI: 10.15468/dl.lxfm3o
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Citrus ×volkameriana Pasq."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvpm9q
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis gaoxinfeniae Lidén"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147022-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j38zmd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Encyclia oestlundii (Ames, F.T.Hubb. & C.Schweinf.) Hágsater & Stermitz"
 ]
}

 The dataset includes 9 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rjh3h
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis glaucescens Regel"
 ]
}

 The dataset includes 111 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147040-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b29nr5
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pimephales tenellus (Girard, 1856)"
 ]
}

 The dataset includes 446 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rme2eb
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athyrium rubripes (Kom.) Kom."
 ]
}

 The dataset includes 179 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036275-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4mtn8
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "Geometry POLYGON((34.59035 48.26972,35.46963 48.26972,35.46963 48.62128,34.59035 48.62128,34.59035 48.26972))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2024"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016643-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zhj5j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Lycodes raridens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147024-230224095556074/datasets/export for details.
DOI: 10.15468/dl.3rbk5a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Liponema brevicorne)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147009-230224095556074/datasets/export for details.
DOI: 10.15468/dl.zimpxo
title: Occurrence Download

description: A dataset containing 98422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1991-2017",
 "HasCoordinate is true",
 "TaxonKey is Sparganium L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98422 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004071-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h6u9v
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis fukuharae Lidén"
 ]
}

 The dataset includes 56 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147013-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.