cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pwq6ce
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca brachyrrhyncha Greenm."
 ]
}

 The dataset includes 45 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvv2py
title: Occurrence Download

description: A dataset containing 30678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb."
 ]
}

 The dataset includes 30678 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002415-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgn4gs
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lachenalia comptonii W.F.Barker"
 ]
}

 The dataset includes 45 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002423-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hrt8r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix macroblasta C.K.Schneid.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268050-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsdnjh
title: Occurrence Download

description: A dataset containing 730958 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 730958 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067232-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wrf33
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca bracteata Hook.fil. & Thomson ex C.B.Clarke"
 ]
}

 The dataset includes 65 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002591-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2yabm
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lachenalia carnosa Baker"
 ]
}

 The dataset includes 178 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002420-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9revqn
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix maerkangensis N.Chao",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268051-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ccun7
title: Occurrence Download

description: A dataset containing 2865 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blumea megacephala"
 ]
}

 The dataset includes 2865 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011488-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4akn9
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otocinclus notatus"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011490-250711103210423/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/12467050
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.bgrjmn
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria dewildemaniana"
 ]
}

 The dataset includes 212 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011491-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.29541785
title: Immunohistochemistry, ploidy and next generation sequencing of ameloblastic carcinomas

description: The histopathologic database of the Department of Oral and Maxillofacial Pathology at the University of Pretoria was searched for cases diagnosed as ameloblastic carcinoma (AC) over a 20-year period. Cases were subdivided into primary and secondary cases of AC. Ameloblastomas (ABs) that transformed into ACs and a control cohort of conventional ABs were also studied for comparative purposes. Experienced Oral and Maxillofacial Pathologists reviewed all cases to confirm the diagnosis according to the latest World Health Organisation (WHO) diagnostic criteria. The original haematoxylin and eosin-stained slides, immunohistochemical (IHC) stains, and the best representative formalin-fixed paraffin-embedded (FFPE) tissue blocks were accessed. IHC analysis, including <i>Ki-67</i> proliferation index and surrogate stem cell markers <i>SOX2, OCT4</i>, and Glypican-3, was performed on the representative FFPE tissue block according to the manufacturer's instructions. High-resolution flow cytometry was used to analyse all cases to determine ploidy status. Molecular analysis utilising targeted next-generation sequencing (NGS) paired with an integrated sequencer was performed on all cases.
DOI: 10.25403/upresearchdata.29541785.v1
title: Immunohistochemistry, ploidy and next generation sequencing of ameloblastic carcinomas

description: The histopathologic database of the Department of Oral and Maxillofacial Pathology at the University of Pretoria was searched for cases diagnosed as ameloblastic carcinoma (AC) over a 20-year period. Cases were subdivided into primary and secondary cases of AC. Ameloblastomas (ABs) that transformed into ACs and a control cohort of conventional ABs were also studied for comparative purposes. Experienced Oral and Maxillofacial Pathologists reviewed all cases to confirm the diagnosis according to the latest World Health Organisation (WHO) diagnostic criteria. The original haematoxylin and eosin-stained slides, immunohistochemical (IHC) stains, and the best representative formalin-fixed paraffin-embedded (FFPE) tissue blocks were accessed. IHC analysis, including <i>Ki-67</i> proliferation index and surrogate stem cell markers <i>SOX2, OCT4</i>, and Glypican-3, was performed on the representative FFPE tissue block according to the manufacturer's instructions. High-resolution flow cytometry was used to analyse all cases to determine ploidy status. Molecular analysis utilising targeted next-generation sequencing (NGS) paired with an integrated sequencer was performed on all cases.
DOI: 10.15468/dl.s7g3fe
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Georgia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011492-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9ct8u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material citation, Material sample, Occurrence evidence, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Griffinia colatinensis"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011495-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.8isdzq
title: Reduction in Earth’s Carbon Budget Imbalance

description: The Global Carbon Project (GCP) annually compiles an updated global carbon budget that synthesizes state‑of‑the‑art estimates of anthropogenic CO_2 emissions, land and ocean sinks, and the atmospheric CO_2 growth rate. The residual between these terms, referred to as the global carbon budget imbalance, reflects the aggregate inaccuracies of the individual component estimates. Growth rates derived from marine boundary layer (MBL) surface flask mixing ratio observations are assumed to be highly accurate. Hence, land and ocean sink estimates from process models are viewed as the primary source of the imbalance. Here we show that substantial discrepancies arise when marine boundary layer growth rate estimates are used to represent the whole atmosphere. Correcting for this discrepancy using atmospheric flux inversion estimates reduces the 0.76 petagrams of carbon per year (PgC yr ^(-1)) root-mean-square (RMS) imbalance (from the 2023 GCP report) by up to 25%. Further investigation into the imbalance metric between the 2017 and 2023 GCP reports shows a reduction in imbalance resulting from updates to each carbon budget component, leading to a 16% overall reduction. These reductions provide quantitative evidence of improvements in process models and inventory emission estimates, driven by enhanced forcing data and the inclusion of new carbon cycle processes. Overall, we report a 37% reduction in the root-mean-square imbalance, from 0.91 to 0.57 PgC yr^(-1), between the 2017 and 2023 GCP reports by combining process model and inventory improvements with atmospheric growth rate corrections. Our findings indicate that land and ocean process models are more accurate than previously believed and that the scientific understanding of Earth’s carbon cycle is improving.
DOI: 10.48577/jpl.q9kcta
title: Tunable Laser Spectrometer for the Miniaturized Total Organic Carbon Analyzer

description: Tunable diode laser spectrometer (TLS) type instruments are widely used in trace gas sensing applications due to their selectivity, sensitivity and miniaturization capabilities. Here we present the design and environmental testing results for a new miniaturized tunable laser spectrometer designed to detect gas phase CO2 from the miniaturized total organic carbon analyzer (MiniTOCA) due to operate onboard the ISS as a technology demonstration starting 2026. The MiniTOCA Tunable Laser Spectrometer (MTLS) has NASA-defined Criticality-1R reliability design features (e.g. built in reference cell, redundant pressure sensors, specialized high-reliability hermeticity seals) that make it suitable for long term (years) deployment in human habitation structures. We have successfully built and validated three flight units as part of this study. We discuss design, calibration, and verification and validation of the instrument over a range of temperature, pressure, vibration and elevated CO2 tests, as well as operational temperature, pressure and high humidity tests. Miniaturized TLS instruments of this kind will be highly applicable to other gas phase sensors for Portable Life Support Systems (PLSS) and Life Support Systems (LSS) and could be adapted and repurposed for Earth and Planetary science applications where miniaturization and high-reliability is important for networks of sensors, drone flight and in-situ probe applications.
DOI: 10.11583/dtu.29041871
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the southern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the southern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment can be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.This version 2 of the dataset fix a typo in the metadata file and the description in the previous version:version 1:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.version 2, corrected:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.
DOI: 10.11583/dtu.29041871.v1
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the southern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the southern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment cna be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.<br>
DOI: 10.11583/dtu.29041871.v2
title: Long-range pulsed lidar data from the Balconies experiment, phase 1, installed in the southern met-mast, westerlies

description: Database file containing data collected during in the Balconies experiment by a long-range pulsed lidar, installed at 50 m.a.g.l. in the southern mast at the Østerild Test Centre, Denmark.Details of the Balconies experiment can be found in doi :10.1088/1742-6596/1037/5/052029<br>The database consists of two tables:Table_raw: raw lidar scansTable_fil: filtered lidar scans using the methodology described in doi :10.5194/amt-13-6237-2020.Both tables contain the following columns,'name': TEXT containing the date of the measurement'scan': BIGINT scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.'index': BIGINT, row index'start_id': BIGINT parameter of the windscanner file storing system.'stop_id': BIGINT parameter of the windscanner file storing system.'start_time': FLOAT start time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'stop_time': FLOAT stop time of line-of-sight measurement in Mac epoch, seconds since 1904-01-01 00:00.'azim': FLOAT azimuth angle of the line-of-sight measurements in degrees.'elev': FLOAT elevation angle of the line-of-sight measurements in degrees.'range_gate_NN': BIGINT distance between lidar and center of range gate, in meters. NN identifier goes form 0 to 197.'ws_NN': FLOAT line-of-sight wind speed meters per second at the center of the range gate. Negative values indicate the wind is blowing towards the lidar. NN identifier goes form 0 to 197.'CNR_NN': FLOAT Carrier-to-noise ratio at the center of the range gate, in dB. NN identifier goes form 0 to 197.'Sb_NN' : FLOAT Spectral broadening at the center of the range gate, in meters per second. NN identifier goes form 0 to 197.This version 2 of the dataset fix a typo in the metadata file and the description in the previous version:version 1:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 45 degrees. It starts at 0.version 2, corrected:<br>- name: scan<br>- description: scan number covering a complete azimuthal swept of 90 degrees. It starts at 0.
DOI: 10.15468/dl.u4v5yd
title: Occurrence Download

description: A dataset containing 4963 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysolophus amherstiae"
 ]
}

 The dataset includes 4963 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011493-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.07yjpg
title: Progress Towards Satellite Requirements to Capture Water Propagation in Earth’s Rivers

description: The water in Earth’s rivers propagates as waves through space and time across hydrographic networks. A detailed understanding of river dynamics globally is essential for achieving the accurate knowledge of surface water storage and fluxes to support water resources management and water-related disaster forecasting and mitigation. Global in situ information on river flows are crucial to support such an investigation but remain difficult to obtain at adequate spatiotemporal scales, if they even exist. Many expectations are placed on remote sensing techniques as key contributors. Despite a rapid expansion of satellite capabilities, however, it remains unclear what temporal revisit, spatial coverage, footprint size, spatial resolution, observation accuracy, latency time, and variables of interest from satellites are best suited to capture the space-time propagation of water in rivers. Additionally, the ability of numerical models to compensate for data sparsity through model-data fusion remains elusive. We review recent efforts to identify the type of remote sensing observations that could enhance understanding and representation of river dynamics. Key priorities include: (a) resolving narrow water bodies (finer than 50-100 m), (b) further analysis of signal accuracy versus hydrologic variability and relevant technologies (optical/SAR imagery, altimetry, microwave radiometry), (c) achieving 1-3 days observation intervals, (d) leveraging data assimilation and multi-satellite approaches using existing constellations, and (e) new variable measurement for accurate water flux and discharge estimates. We recommend a hydrology-focused, multi-mission observing system comprising: (1) a cutting-edge single or dual-satellite mission for advanced surface water measurements, and (2) a constellation of cost-effective satellites targeting dynamic processes.
DOI: 10.15468/dl.7wfp7u
title: Occurrence Download

description: A dataset containing 559759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Emberiza calandra, Phylloscopus sibillatrix, Scolopax rusticola, Perdix perdix, Anthus trivialis, Lullula arborea, Emberiza citrinella, Caprimulgus europaeus, Vanellus vanellus, Emberiza calandra, Saxicola rubicola, Anthus pratensis)",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 47.53364139636112",
 "DecimalLatitude is less than or equal to 54.8769089978912",
 "DecimalLongitude is greater than or equal to 6.033629",
 "DecimalLongitude is less than or equal to 15.037743",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 559759 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011463-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.oe4vm7
title: Deep Space Network Radio Science and Ground‐Based Planetary Radar in the Next Decade

description: The Deep Space Network (DSN) has been a core operational element of NASA’s crewed and robotic exploration of the Solar System since the early 1960s. The primary role of the DSN has been to acquire telemetry and navigation data, but over the years, its radiometric and radar capabilities have expanded to form a system for obtaining unique scientific data from planetary bodies. The capabilities of the DSN have advanced alongside the sophistication of the missions it serves, enhancing navigation and data-handling capacities for those missions and improving the ability to obtain significant new space science. These advancements will continue into the next decade with breakthroughs in engineering performance, measurement capabilities, and the integration of cutting-edge technologies such as quantum electronics, computing, and AI-based analysis. This paper presents a survey of the most active areas of current research that are likely to drive advances in the capabilities of DSN functions and facilities.