cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18150/i3cypy
title: DNA oxidative damage and epigenetic parameters of invasive round goby, Neogobius melanostomus, across wide latitudinal span

description: DNA methylation/demethylation products in five round goby populations collected in Europe including:5-methyl-2′-deoxycytidine 5-(hydroxymethyl)-2′-deoxycytidine2'-deoxyuridine 5-(hydroxymethyl)-2ʹ-deoxyuridine8-oxo-2ʹ-deoxyguanosine
DOI: 10.15468/dl.wyy233
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Pterolophia maacki (Blessig, 1872), Pterolophia maacki Löbl & Smetana, 2010)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027750-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fb8uz
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mactra chinensis R.A.Philippi, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 671 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027751-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx37jf
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Istiophorus platypterus (Shaw, 1792)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027752-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr976c
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia hernandezii (Lozano) Govaerts"
 ]
}

 The dataset includes 186 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027753-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmg7st
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xiphias platypterus Shaw, 1792",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027754-240626123714530/datasets/export for details.
DOI: 10.15468/dl.tyucds
title: Occurrence Download

description: A dataset containing 115581824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2016",
 "Year is less than 2017",
 "TaxonKey is one of (Animalia, Plantae, Archaea, Chromista, Fungi, Viruses)"
 ]
}

 The dataset includes 115581824 records from 7617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027748-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15785/sbgrid/1144
title: X-Ray Diffraction data from Citrobacter BubCD(D104A)-BubB, source of 9EAE structure

description: native dataset
description: Process in P43212 to 2.53 A resolution
DOI: 10.5281/zenodo.17109354
title: Probing the Surface Structure of Amine/Chloride Exchanged CdSe Nanocrystals Quantum Dots Using 15N/35Cl/113Cd Solid-State NMR Spectroscopy.

description: Raw SSNMR data and Cartesian coordinates for nanocrystal models.
DOI: 10.15468/dl.6khpc9
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Notothylas orbicularis"
 ]
}

 The dataset includes 54 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056829-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x6ehm
title: Occurrence Download

description: A dataset containing 2210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonoidis denticulatus"
 ]
}

 The dataset includes 2210 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056824-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py7vy2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "DatasetKey is NatureServe Network Species Occurrence Data",
 "OccurrenceStatus is Present",
 "TaxonKey is Didelphis virginiana"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056826-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nfckx
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ailuropoda melanoleuca"
 ]
}

 The dataset includes 281 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056827-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2bq1p
title: Riccarton High School

description: The 1000 "best" shear wave velocity (Vs) profiles derived from surface wave analyses performed for this site are provided in a text file. A pdf report detailing the dispersion processing and inversion results for this site is also provided. The raw surface wave data and meta data used to develop these Vs profiles is archived under DOI:10.4231/D3VD6P49Q
DOI: 10.17909/3r3f-9j87
title: Data from The Orbits of Isolated Dwarfs in the Local Group from New 3D Kinematics: Constraints on First Infall, Backsplash, and Quenching Mechanisms

description: HST data used to derived proper motions for the galaxies, Aquarius dIrr, Cetus dSph, Leo T, Pegasus dIrr, LGS3, & Tucana dSph.
DOI: 10.17603/ds2wm2g
title: Burnside Park

description: The 1000 "best" shear wave velocity (Vs) profiles derived from surface wave analyses performed for this site are provided in a text file. A pdf report detailing the dispersion processing and inversion results for this site is also provided. The raw surface wave data and meta data used to develop these Vs profiles is archived under DOI:10.4231/D3DB7VQ2P
DOI: 10.6084/m9.figshare.30117724
title: <b>Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive Modeling</b>

description: Low-power direct energy deposition (DED) can be a viable strategy to manufacture 316L stainless steel parts with low porosity and distortion, enabled by a novel predictive modeling and optimization framework. This study assessed the methodology of a CNC-integrated DED system with four powder nozzles and a custom-made G-Code postprocessor (DEDRA).Over 150 experiments were conducted to systematically adjust laser power, traversing speed, powder feed rate, hatch spacing, and interlayer height. Furthermore, ten mathematical models were applied to predict geometry (internal and external) and porosity with an error below 4% across five parameter sets. These models can calculate single-track welds and their superpositions during layer-by-layer deposition, thereby reducing thermal distortion and residual stress. The optimized builds, characterized by their grain size, chemical composition, and microstructure, achieved porosity levels between 3 and 4.85% and defect rates of nearly zero (0–69 ppm). Dimensional accuracy was preserved without excessive layer growth, while microhardness equaled or surpassed that of forged 316L. Microstructural characterization revealed refined grain morphology, improved homogeneity, and the reduction of defect formation under optimized conditions. This study tackles the limitations of prior high-power advances and trial-and-error approaches. The research provides a modeling framework with a foundation for reliable, repeatable, and energy-efficient additive manufacturing of stainless steel. It sets the groundwork for future real-time monitoring and enhanced process control.<br>
DOI: 10.6084/m9.figshare.30117724.v2
title: <b>Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive Modeling</b>

description: Low-power direct energy deposition (DED) can be a viable strategy to manufacture 316L stainless steel parts with low porosity and distortion, enabled by a novel predictive modeling and optimization framework. This study assessed the methodology of a CNC-integrated DED system with four powder nozzles and a custom-made G-Code postprocessor (DEDRA).Over 150 experiments were conducted to systematically adjust laser power, traversing speed, powder feed rate, hatch spacing, and interlayer height. Furthermore, ten mathematical models were applied to predict geometry (internal and external) and porosity with an error below 4% across five parameter sets. These models can calculate single-track welds and their superpositions during layer-by-layer deposition, thereby reducing thermal distortion and residual stress. The optimized builds, characterized by their grain size, chemical composition, and microstructure, achieved porosity levels between 3 and 4.85% and defect rates of nearly zero (0–69 ppm). Dimensional accuracy was preserved without excessive layer growth, while microhardness equaled or surpassed that of forged 316L. Microstructural characterization revealed refined grain morphology, improved homogeneity, and the reduction of defect formation under optimized conditions. This study tackles the limitations of prior high-power advances and trial-and-error approaches. The research provides a modeling framework with a foundation for reliable, repeatable, and energy-efficient additive manufacturing of stainless steel. It sets the groundwork for future real-time monitoring and enhanced process control.<br>
DOI: 10.6084/m9.figshare.30117724.v1
title: <b>Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive Modeling</b>

description: Low-power direct energy deposition (DED) can be a viable strategy to manufacture 316L stainless steel parts with low porosity and distortion, enabled by a novel predictive modeling and optimization framework. This study assessed the methodology of a CNC-integrated DED system with four powder nozzles and a custom-made G-Code postprocessor (DEDRA).Over 150 experiments were conducted to systematically adjust laser power, traversing speed, powder feed rate, hatch spacing, and interlayer height. Furthermore, ten mathematical models were applied to predict geometry (internal and external) and porosity with an error below 4% across five parameter sets. These models can calculate single-track welds and their superpositions during layer-by-layer deposition, thereby reducing thermal distortion and residual stress. The optimized builds, characterized by their grain size, chemical composition, and microstructure, achieved porosity levels between 3 and 4.85% and defect rates of nearly zero (0–69 ppm). Dimensional accuracy was preserved without excessive layer growth, while microhardness equaled or surpassed that of forged 316L. Microstructural characterization revealed refined grain morphology, improved homogeneity, and the reduction of defect formation under optimized conditions. This study tackles the limitations of prior high-power advances and trial-and-error approaches. The research provides a modeling framework with a foundation for reliable, repeatable, and energy-efficient additive manufacturing of stainless steel. It sets the groundwork for future real-time monitoring and enhanced process control.<br>
DOI: 10.15468/dl.c6q6ck
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia miradorensis"
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056832-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbtb2d
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eratigena atrica",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 657 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056836-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujwyqt
title: Occurrence Download

description: A dataset containing 1352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthocardia aculeata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1352 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056835-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ogqkxp
title: HVTN 135 safety manuscript
title: Safety and implementation of phase I randomized GLA-SE–adjuvanted CH505TF gp120 HIV vaccine trial in newborns

description: Data were locked on November 13, 2024. This dataset contains locked data as of November 13, 2024. More information on the datasets and their contents can be found in the data dictionary file.
DOI: 10.17603/ds2m66t
title: QEII Park

description: The 1000 "best" shear wave velocity (Vs) profiles derived from surface wave analyses performed for this site are provided in a text file. A pdf report detailing the dispersion processing and inversion results for this site is also provided. The raw surface wave data and meta data used to develop these Vs profiles is archived under DOI:10.4231/D33X83K84
DOI: 10.6084/m9.figshare.30117670
title: Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive ModelingMANIFEST.TXT

description: <b>Purpose</b>: Laser-directed energy deposition is an emerging additive manufacturing technique renowned for fabricating or repairing intricate geometric components. This study elucidates the criticality of input processing parameters for minimizing defects/porosity in the deposited weld bead, obtaining desired geometry with regulated contact angles and reaching or surpassing the microhardness of a forged 316L sample.<b>Design/methodology/approach</b>: An experimental investigation applying the Taguchi design explored process parameters, including laser power, traversing speed, and powder feed rate. Over 200 samples were prepared using a hybrid machine with a custom feeder mechanism, which included the development of a unit converter. Characterization of 316L powder material provided grain size and chemical composition. These inputs were packed into mathematical models whose basis was set by introducing specific energy and mass per unit length.<b>Findings</b>: The insights revealed five optimal setups with distinct laser power levels, traversing speeds, and powder feed rates. Five equations calculate the geometry and hardness of any weld track in the manufacturing approach.<b>Originality/value:</b> Different from prior investigations that concentrated on high-power laser systems with swift work speeds, this study focuses on low-power systems (below 400 watts) with reduced traversing speeds (up to 400 mm/min), four powder-feeding nozzles and a 1 mm laser spot diameter. Mathematical models were developed to predict bead geometry, contact angles, and hardness by integrating mass per unit length (MUL) and specific energy (E) as primary variables. Five optimal configurations were identified and validated through over 200 experiments, achieving microhardness comparable to forged 316L with minimal porosity.
DOI: 10.6084/m9.figshare.30117670.v2
title: Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive ModelingMANIFEST.TXT

description: <b>Purpose</b>: Laser-directed energy deposition is an emerging additive manufacturing technique renowned for fabricating or repairing intricate geometric components. This study elucidates the criticality of input processing parameters for minimizing defects/porosity in the deposited weld bead, obtaining desired geometry with regulated contact angles and reaching or surpassing the microhardness of a forged 316L sample.<b>Design/methodology/approach</b>: An experimental investigation applying the Taguchi design explored process parameters, including laser power, traversing speed, and powder feed rate. Over 200 samples were prepared using a hybrid machine with a custom feeder mechanism, which included the development of a unit converter. Characterization of 316L powder material provided grain size and chemical composition. These inputs were packed into mathematical models whose basis was set by introducing specific energy and mass per unit length.<b>Findings</b>: The insights revealed five optimal setups with distinct laser power levels, traversing speeds, and powder feed rates. Five equations calculate the geometry and hardness of any weld track in the manufacturing approach.<b>Originality/value:</b> Different from prior investigations that concentrated on high-power laser systems with swift work speeds, this study focuses on low-power systems (below 400 watts) with reduced traversing speeds (up to 400 mm/min), four powder-feeding nozzles and a 1 mm laser spot diameter. Mathematical models were developed to predict bead geometry, contact angles, and hardness by integrating mass per unit length (MUL) and specific energy (E) as primary variables. Five optimal configurations were identified and validated through over 200 experiments, achieving microhardness comparable to forged 316L with minimal porosity.
DOI: 10.6084/m9.figshare.30117670.v3
title: Low-Power Direct Energy Deposition of 316L Stainless Steel: Process Parameters, Volumetric Characterization, and Predictive ModelingMANIFEST.TXT

description: <b>Purpose</b>: Laser-directed energy deposition is an emerging additive manufacturing technique renowned for fabricating or repairing intricate geometric components. This study elucidates the criticality of input processing parameters for minimizing defects/porosity in the deposited weld bead, obtaining desired geometry with regulated contact angles and reaching or surpassing the microhardness of a forged 316L sample.<b>Design/methodology/approach</b>: An experimental investigation applying the Taguchi design explored process parameters, including laser power, traversing speed, and powder feed rate. Over 200 samples were prepared using a hybrid machine with a custom feeder mechanism, which included the development of a unit converter. Characterization of 316L powder material provided grain size and chemical composition. These inputs were packed into mathematical models whose basis was set by introducing specific energy and mass per unit length.<b>Findings</b>: The insights revealed five optimal setups with distinct laser power levels, traversing speeds, and powder feed rates. Five equations calculate the geometry and hardness of any weld track in the manufacturing approach.<b>Originality/value:</b> Different from prior investigations that concentrated on high-power laser systems with swift work speeds, this study focuses on low-power systems (below 400 watts) with reduced traversing speeds (up to 400 mm/min), four powder-feeding nozzles and a 1 mm laser spot diameter. Mathematical models were developed to predict bead geometry, contact angles, and hardness by integrating mass per unit length (MUL) and specific energy (E) as primary variables. Five optimal configurations were identified and validated through over 200 experiments, achieving microhardness comparable to forged 316L with minimal porosity.
DOI: 10.15468/dl.k5sjd3
title: Occurrence Download

description: A dataset containing 4356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Microderis rigens, Picris rigens, Picris rigens, Leopoldia tenuiflora, Muscari tenuiflorum, Leucanthemum heterophyllum, Chrysanthemum heterophyllum, Chrysanthemum lanceolatum, Chrysanthemum lanceolatum heterophyllum, Chrysanthemum leucanthemum heterophyllum, Chrysanthemum leucanthemum montanum, Chrysanthemum leucanthemum heterophyllum, Chrysanthemum leucanthemum lanceolatum, Chrysanthemum leucanthemum montanum, Chrysanthemum montanum, Chrysanthemum montanum heterophyllum, Leucanthemum affine, Leucanthemum atratum, Leucanthemum atratum heterophyllum, Leucanthemum auriculatum, Leucanthemum canescens, Leucanthemum canescens, Leucanthemum commutatum, Leucanthemum discoideum, Leucanthemum lanceolatum, Leucanthemum montanum, Leucanthemum suffruticulosum, Leucanthemum vulgare heterophyllum, Leucanthemum vulgare heterophyllum, Leucanthemum vulgare montanum, Matricaria heterophylla, Matricaria montana, Phalacrodiscus montanus, Pontia heterophylla, Pontia montana, Pyrethrum heterophyllum, Pyrethrum heterophyllum, Pyrethrum montanum, Pyrethrum montanum, Tanacetum montanum, Lilium albanicum, Lilium carniolicum albanicum, Lilium chalcedonicum albanicum, Lilium chalcedonicum albanicum, Lilium pyrenaicum albanicum, Limonium angustebracteatum, Limonium delicatulum angustebracteatum, Limonium delicatulum valentinum, Linaria pelisseriana, Antirrhinum gracile)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 4356 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056833-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2467d
title: Hagley Park

description: The 1000 "best" shear wave velocity (Vs) profiles derived from surface wave analyses performed for this site are provided in a text file. A pdf report detailing the dispersion processing and inversion results for this site is also provided. The raw surface wave data and meta data used to develop these Vs profiles is archived under DOI:10.4231/D3MW28F12