cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0188747.10fu
title: SH0188747.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188748.10fu
title: SH0188748.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188749.10fu
title: SH0188749.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188750.10fu
title: SH0188750.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188751.10fu
title: SH0188751.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188752.10fu
title: SH0188752.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188753.10fu
title: SH0188753.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188754.10fu
title: SH0188754.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188755.10fu
title: SH0188755.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.48577/jpl.22ikpk
title: Downlink and uplink laser transmitters operational performance for the Deep Space Optical Communications project on the Psyche mission

description: The Deep Space Optical Communications (DSOC) project, hosted on the Psyche spacecraft, has recently successfully completed its first year of operations. The flight system involved a laser transmitter assembly (LTA) capable of up to 4 W of average power at 1550 nm with data modulated at up to 267 Mbps using pulse position modulation (PPM) and leveraging telecom components in the design. The downlink laser transmitter operated for over 120 hrs on a weekly cadence at distances up to over 2.6 AU where 8 Mbps was demonstrated during nighttime operations. The uplink laser assembly (ULA) was integrated into the DSOC ground laser transmitter (GLT) facility at the JPL Optical Communication Telescope Lab and provided a beacon reference for the flight terminal with over 2 kW average power and an uplink data rate of 1.8 kbps at 1064 nm over the entire range. The ULA incorporated up to ten individual laser units based on commercial systems but modified to provide the uplink data modulation. Trends and performance data will be reported on for both systems along with an anomaly in the ground testing of the EM LTA.
DOI: 10.48577/jpl.tufwjs
title: Developmental Hardware Testing Results and Forward Plans for the Spacecraft Water Impurity Monitor (SWIM) Inorganic Water Module (IWM)

description: The Spacecraft Water Impurity Monitor (SWIM) seeks to provide enhanced analytical capability that enables NASA to send astronauts on long duration missions to the Moon and Mars without the possibility of returned water samples. The SWIM architecture consists of an Organic Water Module (OWM) and an Inorganic Water Module (IWM), that are independent analytical units but envisioned for complementary use. This paper describes the build and test of developmental hardware for the IWM portion of SWIM. IWM itself has two broad approaches for monitoring potential inorganic contaminants. The first is to develop a portable laboratory-style capability that can search for a wide array of potential contaminants in samples, similar to what happens when bagged samples are returned to the ground from the ISS. The second approach is to more narrowly focus on potentially high value indicators for continuous or near-continuous real-time monitoring. The portable laboratory-style capability fundamentally requires a separation science approach in order to specifically separate and detect a wide variety of compounds. IWM developmental hardware is based on capillary electrophoresis (CE) for species separation and capacitively coupled contactless conductivity (C4D) for detection. The CE-C4D hardware was used to broadly separate a wide list of target species with the same hardware and reagents. The real-time monitoring capability is based on microfluidic arrays of electrochemical sensors. Specifically, ion selective electrodes (ISEs) that can be mated into small volume (microliters) channels for fast measurements. The ISEs have selectivity for potentially useful general indicators such as pH and ammonium as well as indicators that might be specific to ion bed breakthrough products like acetate and carbonate. Both capabilities are being matured towards a potential technology demonstration mission.
DOI: 10.48577/jpl.lyumrq
title: Planetary Protection For Human Exploration of Mars: Insights from Mars Sample Return Planning

description: No abstract available.
DOI: 10.48577/jpl.gepotu
title: Enabling Small Body Fast Flyby Science with Onboard Navigation

description: No abstract available.
DOI: 10.48577/jpl.56s02i
title: OCO-2/3 Calibration Report

description: No abstract available.
DOI: 10.48577/jpl.we2sc0
title: Environmentally Stable Ultra-Low Noise Self-Injection Locked Semiconductor Lasers

description: No abstract available.
DOI: 10.15468/dl.fb6ucq
title: Occurrence Download

description: A dataset containing 693302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is February",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2021-2021"
 ]
}

 The dataset includes 693302 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021509-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.wifayq
title: Psyche: Journey to a Metal World Kern Astronomical Society

description: No abstract available.
DOI: 10.48577/jpl.pc02is
title: Clock Noise Contribution to VLBI Visibility SNR

description: No abstract available.
DOI: 10.48577/jpl.cvw66p
title: Full-Polarimetric GNSS-Reflectometry Capabilities: The SMAP-R Dataset

description: No abstract available.
DOI: 10.48577/jpl.xluroo
title: Towards a Flood Assessment Product for the Humanitarian and Disaster Management Sectors Based on GNSS Bistatic Radar Measurements

description: No abstract available.
DOI: 10.48577/jpl.cxvxgh
title: MSR Planetary Protection: Fall 2024 Update

description: No abstract available.
DOI: 10.48577/jpl.28ucql
title: Guidance, Navigation Control for the Psyche Mission

description: No abstract available.
DOI: 10.48577/jpl.wehjh0
title: The Search for Habitable Worlds in our Solar System: Enceladus, Europa, and beyond…

description: No abstract available.
DOI: 10.48577/jpl.4j2uiu
title: Caltech/IPAC Lunch Seminar

description: No abstract available.
DOI: 10.48577/jpl.wlry0v
title: JPL Digital Engineering Vision

description: No abstract available.
DOI: 10.48577/jpl.mb56pe
title: Keep it or Lose it: the Fate of Rocky Exoplanetary Atmospheres Under the Influence of their Host Star

description: No abstract available.
DOI: 10.48577/jpl.bood3y
title: NASA Coastal Data and Research for Informed Resilience Strategies

description: No abstract available.
DOI: 10.15468/dl.q93rub
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Neurergus kaiseri Schmidt, 1952",
 "Year 2019-2025"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021512-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28377818.v2
title: Data for "Leaf and root economics space in <i>Fraxinus mandshurica</i>: A test of the multidimensional trait framework within species"

description: Trait-based approaches provide a useful framework for characterizing plant strategies and predicting plant performance. However, these approaches have mainly been based on species trait means, thus ignoring the important role of intraspecific trait variation. We measured a suite of leaf and absorptive root traits on individuals of <i>Fraxinus mandshurica</i> in a temperate forest to explore the patterns and drivers of intraspecific trait variation and to evaluate intraspecific trait-performance relationships. Principal component analyses revealed multiple ecological strategies of plants, via variation in leaf and root traits. We found multidimensional covariation in both leaf and absorptive root traits at the intraspecific level. We found no relationship between leaf and root trait dimensions. Root trait dimensions were mainly influenced by environmental conditions, whereas leaf trait dimensions were mainly influenced by tree size. Absorptive root traits are better predictors of tree performance than leaf traits. We also found that the trait-performance relationship varied with tree size.Overall, our study emphasizes the necessity for attention to intraspecific trait variation and correlation, and contributes to a comprehensive understanding of how plants respond to multiple abiotic and biotic drivers. Additionally, we highlight the need to combine above- and below-ground traits to improve predictions of plant performance, and hence predictions of forest dynamics and ecosystem functions.<br>
DOI: 10.15468/dl.atfkys
title: Occurrence Download

description: A dataset containing 813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pellorneum palustre Gould, 1872"
 ]
}

 The dataset includes 813 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021513-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uksmgv
title: Occurrence Download

description: A dataset containing 235343 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus serotina Ehrh."
 ]
}

 The dataset includes 235343 records from 877 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021510-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b5v4f
title: Occurrence Download

description: A dataset containing 668354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is February",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2022-2022"
 ]
}

 The dataset includes 668354 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021511-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28377818.v3
title: Data for "Leaf and root economics space in <i>Fraxinus mandshurica</i>: A test of the multidimensional trait framework within species"

description: Trait-based approaches provide a useful framework for characterizing plant strategies and predicting plant performance. However, these approaches have mainly been based on species trait means, thus ignoring the important role of intraspecific trait variation. We measured a suite of leaf and absorptive root traits on individuals of <i>Fraxinus mandshurica</i> in a temperate forest to explore the patterns and drivers of intraspecific trait variation and to evaluate intraspecific trait-performance relationships. Principal component analyses revealed multiple ecological strategies of plants, via variation in leaf and root traits. We found multidimensional covariation in both leaf and absorptive root traits at the intraspecific level. We found no relationship between leaf and root trait dimensions. Root trait dimensions were mainly influenced by environmental conditions, whereas leaf trait dimensions were mainly influenced by tree size. Absorptive root traits are better predictors of tree performance than leaf traits. We also found that the trait-performance relationship varied with tree size.Overall, our study emphasizes the necessity for attention to intraspecific trait variation and correlation, and contributes to a comprehensive understanding of how plants respond to multiple abiotic and biotic drivers. Additionally, we highlight the need to combine above- and below-ground traits to improve predictions of plant performance, and hence predictions of forest dynamics and ecosystem functions.<br>
DOI: 10.25430/researchdata.cab.unipd.it.00001489
title: Python codes for STM data analysis

description: Python codes were conceived to work with ASCII .txt files with XYZ arrays, both as input and output. This makes codes highly compatible and universally usable. Code A provides an example of conversion from a .s94 data format to the requested ASCII .txt. Image analysis software always allow to export source files to .txt files with XYZ arrays, sometimes placing a text header before the data values to indicate the data scales. 
The script (code A) is created to convert raw STM files (.s94) into XYZ-type ASCII files, that can be opened by the WSxM software
The script (code B) is developed to read the XYZ-type ASCII files and perform the flattening and equalizing filters by operating with an entire input file folder. 
The script (code C) was conceived with the possibility of optimizing the number of clusters
The script (code D) reads a sample of images starting from the first one to the number N, which is selected by the user, it calculates the maximum extension of the Z values distribution for every image and returns an average extension value
The script (code E) correct the drift affecting STM images
DOI: 10.5281/zenodo.14839149
title: Assessing the Impact of Accountant's Emotional Intelligence on Fraud Detection:A Questionnaire for Accounting Professionals
DOI: 10.5281/zenodo.14839150
title: Assessing the Impact of Accountant's Emotional Intelligence on Fraud Detection:A Questionnaire for Accounting Professionals
DOI: 10.5281/zenodo.14011151
title: Enhanced moisture retrieval near Boundary Layer from satellite sounder data through atmospheric-surface radiance separation

description: The compressed file includes temperature and humidity profiles retrieved from IASI hyperspectral measurements over mainland Australia in January and February of 2022 and auxiliary materials.
DOI: 10.5281/zenodo.14011152
title: Enhanced moisture retrieval near Boundary Layer from satellite sounder data through atmospheric-surface radiance separation

description: The compressed file includes temperature and humidity profiles retrieved from IASI hyperspectral measurements over mainland Australia in January and February of 2022 and auxiliary materials.