cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16984359
title: Partial Genome Assembly of Beet Chlorosis Virus Readthrough Domain (RTD) Gene Obtained by Sanger Sequencing

description: This dataset features partial genome sequences of Beet Chlorosis Virus isolates collected from various regions across the Czech Republic. The sequences, generated using Sanger sequencing, include coverage of the Readthrough Domain (RTD) gene, though, for some isolates, this region may be incomplete. Provided in standard FASTA (.fa) format, these nucleotide sequences are intended to support researchers interested in viral genomics and the phylogenetic analysis of Beet Chlorosis Virus diversity.
DOI: 10.5281/zenodo.16984360
title: Partial Genome Assembly of Beet Chlorosis Virus Readthrough Domain (RTD) Gene Obtained by Sanger Sequencing

description: This dataset features partial genome sequences of Beet Chlorosis Virus isolates collected from various regions across the Czech Republic. The sequences, generated using Sanger sequencing, include coverage of the Readthrough Domain (RTD) gene, though, for some isolates, this region may be incomplete. Provided in standard FASTA (.fa) format, these nucleotide sequences are intended to support researchers interested in viral genomics and the phylogenetic analysis of Beet Chlorosis Virus diversity.
DOI: 10.15468/dl.7chv4q
title: Occurrence Download

description: A dataset containing 3262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnodinium catenatum"
 ]
}

 The dataset includes 3262 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015300-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6taa2c
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum bicoloratum"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015298-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyj8j4
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.86796 -46.83648,123.90951 -46.83648,123.90951 26.91662,-6.86796 26.91662,-6.86796 -46.83648))",
 "HasCoordinate is true",
 "TaxonKey is Neophocaena phocaenoides"
 ]
}

 The dataset includes 305 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015301-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2b95v
title: Occurrence Download

description: A dataset containing 175452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum",
 "Year 1956-2022"
 ]
}

 The dataset includes 175452 records from 495 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015258-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63kpgn
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum bicoloratum"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015311-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.daxn8n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthemis arvensis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015304-250827131500795/datasets/export for details.
DOI: 10.15468/dl.f8c36e
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthemis arvensis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015303-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25uuvz
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaenomeles japonica"
 ]
}

 The dataset includes 230 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015310-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfw8su
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argyrosomus regius"
 ]
}

 The dataset includes 409 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015305-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z4p5q
title: Occurrence Download

description: A dataset containing 26686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1990",
 "Geometry MULTIPOLYGON (((97 29, 97 28, 98 28, 99 28, 99 29, 98 29, 98 30, 97 30, 97 31, 96 31, 96 30, 95 30, 94 30, 94 29, 95 29, 96 29, 97 29)), ((94 28, 94 29, 93 29, 93 28, 94 28)), ((134 33, 134 34, 133 34, 133 35, 132 35, 131 35, 131 34, 130 34, 130 33, 131 33, 132 33, 133 33, 134 33)), ((131 31, 131 32, 130 32, 130 31, 131 31)), ((107 20, 107 21, 106 21, 106 20, 107 20)), ((121 14, 121 15, 120 15, 120 14, 121 14)), ((126 6, 126 7, 125 7, 125 6, 126 6)), ((128 2, 128 1, 129 1, 129 3, 128 3, 128 2)), ((120 -2, 120 -1, 119 -1, 119 -2, 120 -2)), ((122 9.998757e-11, 122 1, 121 1, 121 9.998757e-11, 122 9.998757e-11)), ((101 14, 101 13, 102 13, 103 13, 104 13, 104 10, 105 10, 105 9, 106 9, 106 10, 107 10, 108 10, 108 11, 107 11, 107 14, 106 14, 106 16, 105 16, 105 17, 104 17, 104 18, 103 18, 102 18, 102 16, 101 16, 101 17, 100 17, 100 14, 101 14), (101 15, 102 15, 102 14, 101 14, 101 15)), ((107 25, 107 23, 108 23, 108 22, 109 22, 109 21, 110 21, 110 19, 111 19, 111 22, 110 22, 110 23, 111 23, 112 23, 113 23, 113 22, 114 22, 114 24, 115 24, 116 24, 116 23, 117 23, 117 24, 118 24, 118 25, 119 25, 120 25, 120 27, 121 27, 121 28, 122 28, 122 29, 121 29, 120 29, 119 29, 119 30, 120 30, 120 31, 119 31, 118 31, 118 30, 117 30, 117 29, 116 29, 116 28, 115 28, 115 29, 114 29, 114 27, 113 27, 112 27, 112 26, 111 26, 111 29, 112 29, 112 31, 111 31, 111 30, 110 30, 110 31, 109 31, 109 32, 108 32, 107 32, 107 34, 106 34, 106 33, 105 33, 105 34, 104 34, 104 33, 103 33, 103 32, 102 32, 101 32, 101 31, 100 31, 99 31, 99 29, 100 29, 100 28, 99 28, 99 25, 100 25, 101 25, 101 24, 102 24, 102 25, 103 25, 103 24, 104 24, 104 26, 105 26, 105 25, 106 25, 107 25), (108 29, 108 30, 109 30, 109 29, 108 29), (106 26, 106 27, 107 27, 107 26, 106 26)))"
 ]
}

 The dataset includes 26686 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015308-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn7fgc
title: Occurrence Download

description: A dataset containing 574503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotus jocosus"
 ]
}

 The dataset includes 574503 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015259-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.913279
title: Electrical Conductivity, DOC, CDOM, stable water isotopes and major ions of the ice core LD18-BH-8 samples near the Samoylov Island Research Station

description: Current warming, shifting hydrological regimes and accelerated permafrost thaw in the catchment of the Arctic rivers will affect their water biogeochemistry and the ice that covers the river for more than half of the year. The Lena River is the second largest Arctic river and 71 % of its catchment is characterized by continuous permafrost. Large amounts of ice melt water is exported in spring to the Laptev Sea shelf water where it modifies the biogeochemistry of the shelf water.This dataset presents electrical Conductivity, DOC, CDOM, stable water isotopes and major ions in the ice core LD18-BH-8 samples near the Samoylov Island Research Station.
DOI: 10.1594/pangaea.921537
title: Nutrient dynamics

description: DOC and dissolved nutrients were corrected for control concentrations and expressed as daily loads taking into consideration the total volume of water that was in the microcosms for each phase (RIPPLE 40 ml, STABLE.P1: 198 ml and STABLE.P2: 231 ml). Negative values indicate retention and positive values indicate release.
DOI: 10.1594/pangaea.967406
title: Colored dissolved organic matter of Lena River water from 13.09.2019 (#202) to 23.08.2021 (#487)

description: We collected water samples from the river surface in the center of the Olenekskaya Channel near Samoylov Island using a pre-rinsed HDPE 1 L bottle. During the open water period (June to October), water was sampled from a small boat, and during ice-covered period (November to May), through a hole drilled through the river ice. Some samples during the river ice break-up (between May and June) as well as some samples during the ice freeze-up in October were taken from the shore due to the inaccessibility of a more centered location on the river channel. For CDOM absorption (aCDOM(λ)), the sample was filtered through a 0.45 μm cellulose acetate filter which had been rinsed with 20 mL sample water. CDOM samples were collected in pre-rinsed 50 or 100 mL amber glass bottles that were stored in the dark at 4°C until analysis. aCDOM was measuredat the German Research Center for Geosciences (GFZ), Potsdam, Germany using a double beam LAMBDA 950 UV/Vis (PerkinElmer) spectrophotometer. The absorbance (A) was measured between 200 and 800 nm in 1 nm steps using a 1, 2 or 5 cm cuvette, depending on the expected concentration of dissolved organic matter. Absorption (a) was calculated from the resulting absorbance measurements via aCDOM(λ) = 2.303 * A(λ) * l, where l is the path length (length of cuvette in meter). Every 5 to 10 samples, the reference sample (Milli-Q water) was exchanged and a blank was measured to avoid instrument drift.
DOI: 10.6084/m9.figshare.28945607
title: Digital supplement for Deep-learned classification of quantum correlations from collective measurements

description: PyTorch models and related source codes for classification of quantum correlations in two-qubit states based on collective measurements.
DOI: 10.6084/m9.figshare.28945607.v1
title: Digital supplement for Deep-learned classification of quantum correlations from collective measurements

description: PyTorch models and related source codes for classification of quantum correlations in two-qubit states based on collective measurements.
DOI: 10.6084/m9.figshare.28945607.v2
title: Digital supplement for Deep-learned classification of quantum correlations from collective measurements

description: PyTorch models and related source codes for classification of quantum correlations in two-qubit states based on collective measurements.
DOI: 10.1594/pangaea.917287
title: Colored dissolved organic matter of lakes and coastal sites in the MacKenzie River Delta in summer 2018

description: Water samples were taken at the surface and the bottom in transects crossing the lake or coastal site from locations with observed erosion to presumably undisturbed locations. The water sampler (1.5 L Uwitec, Austria) was attached to a graduated rope, lowered by hand and filled twice. Combined water samples were transferred to 2 L Nalgene bottles, filled to the top and subsampled at the field station for further analysis.Water samples for colored dissolved organic matter (cDOM) were filtered through a pre-rinsed disposable syringe with a GF/F filter of 0.7 μm pore size. For cDOM, about 40 ml of filtrate was filled into dark glass bottles and placed in cool storage. Absorption by CDOM was measured at the German Research Centre for Geosciences (GFZ), Potsdam, Germany using a LAMBDA 158 950 UV/Vis (PerkinElmer). The median absorbance of three replicate measurements was used to calculate the absorption. Fresh Milli-Q water was used as reference.
DOI: 10.15468/dl.7ra7qk
title: Occurrence Download

description: A dataset containing 1400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex",
 "Year 1000-2025"
 ]
}

 The dataset includes 1400 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015302-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.614668
title: Measurements of particulate absorption (ap) in the spectral range 300-850 nm (1-nm resolution) during POLARSTERN cruise ANT-XXIII/1
DOI: 10.1594/pangaea.913196
title: Temperature, electrical conductivity, DOC, CDOM, stable water isotopes and major ions of Lena River water from April 2018 to April 2019

description: A number of studies expect an increase of carbon export by rivers to the Arctic Ocean due to rapidly changing climate in the ArcticOne possible reason for the increase of carbon export is thawing permafrost, which can lead to a mobilization of previously frozen dissolved organic matter (DOM). Scarce measurements of DOC and the coloured fraction of DOM (CDOM) (&lt; 8 samples/year) were previously used to estimate fluxes to the Arctic Ocean for the whole year.Here, we present a new high frequency sampling program and its viability to monitor export fluxes of DOM and its biogeochemistry in the Lena River. This dataset includes measurements of several water parameters, such as temperature, electric conductivity, dissolved organic carbon (DOC), spectral CDOM absorption (aCDOM), stable water isotopes and major ions.The high sampling frequency throughout the whole year facilitats the identification of the main drivers behind the seasonality of DOM concentration and biogeochemistry of the Lena River.The high number of samples throughout the whole year allows flux calculations that are independently from load models that likely lead to a large variation of earlier studies. Optical indices reveal changing composition and sources of DOM throughout the year.This dataset represents the first year (April 2018 to April 2019) of a planned long-term monitoring program at the Research Station Samoylov Island and provides a baseline data set against which future change of this large integrative system may be measured. A continuous sampling of Arctic River water will facilitate to identify intra and inter-annual trends with ongoing climate change.
DOI: 10.1594/pangaea.914210
title: Sedimentary geochemistry of Murtinheira section at Cabo Mondego, Portugal

description: Data from Murtinheira section at Cabo Mondego in Portugal. The section is dated from the upper Aalenian to the lower Bajocian (Middle Jurassic). Samples are labelled CN. Phosphorus content quantification was based on the ascorbic acid method (Mort et al., 2007) using a Perkin UV/Vis spectrophotometer Lambda 25. The concentration of PO4 was determined by calibration of BD47 and NU81 standards. TOC was measured after decarbonatization using an elementary analyzer Thermo-Finnigan Flash EA 1112. d13C organic carbon was measured using a Thermo Fischer Scientific Delta V isotope ratio mass spectrometer. d13C-d18O carbonate was measured using a Multiprep auto-sampler coupled to a GV Isoprime mass spectrometer calibrated based on NIST NBS19. CaCO3 content was measured using a Dietrich-Frühling calcimeter based on measuring the CO2 evolved after acidification of a sample.
DOI: 10.1594/pangaea.914209
title: Sedimentary geochemistry of Chaudon-Norante section, France

description: Data from Chaudon-Norante section near Digne in France. The section is dated from the upper Aalenian to the lower Bajocian (Middle Jurassic). Samples are labelled CN. Phosphorus content quantification was based on the ascorbic acid method (Mort et al., 2007) using a Perkin UV/Vis spectrophotometer Lambda 25. The concentration of PO4 was determined by calibration of BD47 and NU81 standards. TOC was measured after decarbonatization using an elementary analyzer Thermo-Finnigan Flash EA 1112. d13C organic carbon was measured using a Thermo Fischer Scientific Delta V isotope ratio mass spectrometer. d13C-d18O carbonate was measured using a Multiprep auto-sampler coupled to a GV Isoprime mass spectrometer calibrated based on NIST NBS19. CaCO3 content was measured using a Dietrich-Frühling calcimeter based on measuring the CO2 evolved after acidification of a sample.
DOI: 10.1594/pangaea.614671
title: Measurements of particulate absorption (ap) in the spectral range 300-850 nm (1-nm resolution) on discrete water samples during POLARSTERN cruise ANT-XXIII/1
DOI: 10.6084/m9.figshare.29528382
title: High-precision 3D printed octet-truss microlattices for electrochemical energy storage devices

description: High-precision three-dimensional (3D) printing has enabled the fabrication of architected microlattices with complex geometries and tunable functionalities, offering new opportunities for electrochemical energy storage devices. In particular, 3D polymer octet-truss lattice frameworks exhibit exceptional mechanical robustness, structural regularity, and customizable porosity, making them promising candidates for electrode applications. However, current fabrication techniques often face challenges in achieving the required precision and structural integrity for advanced applications. In this study, projection micro stereolithography (PμSL) was utilized to fabricate high-resolution 3D electrode substrates based on octet-truss microlattices. The printed structures were systematically optimized for both mechanical stability and printing accuracy. Electrochemical plating and magnetron sputtering were employed as surface modification techniques to improve the physicochemical characteristics of the lattices and introduce lithium-affinitive functionality. The resulting 3D microlattice electrodes demonstrate high structural precision and enhanced electrochemical performance, highlighting their strong potential for integration into advanced lithium metal batteries and related energy storage systems.
DOI: 10.6084/m9.figshare.29528382.v1
title: High-precision 3D printed octet-truss microlattices for electrochemical energy storage devices

description: High-precision three-dimensional (3D) printing has enabled the fabrication of architected microlattices with complex geometries and tunable functionalities, offering new opportunities for electrochemical energy storage devices. In particular, 3D polymer octet-truss lattice frameworks exhibit exceptional mechanical robustness, structural regularity, and customizable porosity, making them promising candidates for electrode applications. However, current fabrication techniques often face challenges in achieving the required precision and structural integrity for advanced applications. In this study, projection micro stereolithography (PμSL) was utilized to fabricate high-resolution 3D electrode substrates based on octet-truss microlattices. The printed structures were systematically optimized for both mechanical stability and printing accuracy. Electrochemical plating and magnetron sputtering were employed as surface modification techniques to improve the physicochemical characteristics of the lattices and introduce lithium-affinitive functionality. The resulting 3D microlattice electrodes demonstrate high structural precision and enhanced electrochemical performance, highlighting their strong potential for integration into advanced lithium metal batteries and related energy storage systems.
DOI: 10.1594/pangaea.712908
title: (Table 1) Hematite, goethite concentrations, reflectance in color bands and total reflectance of the calibration sample set from ODP Hole 184-1143A

description: Sediment depth (m) is composite depth (mcd)
DOI: 10.1594/pangaea.614674
title: Measurements of absorption of non-phytoplankton (detritus) particles (ad) in the spectral range 300-850 nm (1-nm resolution) on discrete water samples during POLARSTERN cruise ANT-XXIII/1
DOI: 10.34740/kaggle/dsv/12928421
title: Peer-to-Peer Boliviano (BOB) Exchange Data