cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.813601
title: Underway physical oceanography and carbon dioxide measurements during Roger Revelle cruise 33RR20080204

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.812181
title: Underway physical oceanography and carbon dioxide measurements during LILOOET cruise Lil495N

description: Cruise QC flag: D (see further details)
DOI: 10.25582/data.2022-12.2674783/1928129
title: Data for EMSL Project 51019 from December 2022
DOI: 10.1594/pangaea.812182
title: Underway physical oceanography and carbon dioxide measurements during METEOR cruise M18/1

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813602
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2003-06-BS

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813603
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2003-07-BS

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813604
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2003-08-BS

description: Cruise QC flag: D (see further details)
DOI: 10.25582/data.2022-12.2674756/1928130
title: Data for EMSL Project 51019 from December 2022
DOI: 10.1594/pangaea.812183
title: Underway physical oceanography and carbon dioxide measurements during METEOR cruise M21/3

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813605
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2003-09-BS

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813606
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2003-10-BS

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813607
title: Underway physical oceanography and carbon dioxide measurements during VOS Finnpartner cruise 2004-02-BS

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813747
title: Underway physical oceanography and carbon dioxide measurements during Keifu Maru cruise KS0810

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813748
title: Underway physical oceanography and carbon dioxide measurements during Keifu Maru cruise KS0901

description: Cruise QC flag: D (see further details)
DOI: 10.25582/data.2022-12.2674502/1928131
title: Data for EMSL Project 51019 from December 2022
DOI: 10.1594/pangaea.813749
title: Underway physical oceanography and carbon dioxide measurements during Keifu Maru cruise KS0904

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813750
title: Underway physical oceanography and carbon dioxide measurements during Keifu Maru cruise KS0906

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.812184
title: Underway physical oceanography and carbon dioxide measurements during METEOR cruise M22/5

description: Cruise QC flag: D (see further details)
DOI: 10.1594/pangaea.813751
title: Underway physical oceanography and carbon dioxide measurements during Keifu Maru cruise KS0910

description: Cruise QC flag: D (see further details)
DOI: 10.5281/zenodo.13466975
title: ZentralGut.ch-Datensatz: Zentralschweizer Zeitschriften

description: Metadaten-Datensätze der Sammlung "Zentralschweizer Zeitschriften" auf ZentralGut.ch
DOI: 10.15468/dl.6n9ew8
title: Occurrence Download

description: A dataset containing 30482921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "Country is one of (France, Netherlands, United Kingdom of Great Britain and Northern Ireland, Switzerland, Germany, Denmark, Belgium, Sweden, Norway, Spain, Croatia, Slovenia, Slovakia, Bosnia and Herzegovina, Serbia, Romania, Kosovo, Montenegro, Albania, North Macedonia, Bulgaria, Greece, Lithuania, Latvia, Estonia, Poland, Czechia, Hungary, Finland, Portugal, Ireland, Austria, Luxembourg, Andorra, Cyprus, Malta, Liechtenstein, Italy, North Macedonia, San Marino, Holy See, Monaco, Gibraltar)",
 "HasCoordinate is true",
 "HasGeospatialIssue is False",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "Issue" : [
 "is one of (Coordinate invalid, Taxon match fuzzy, Taxon match none, Collection match fuzzy, Collection match none, Institution match fuzzy, Institution match none, Footprint WKT mismatch, Country invalid)"
 ]
 }
 },
 "Year 2015-2023"
 ]
}

 The dataset includes 30482921 records from 630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107482-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13467132
title: All optical tunable RF filter using elemental antimony - Supplementary materials

description: In the past decade, the proliferation of modern telecommunication technologies, including 5G, and the widespread adoption of the Internet-of-things (IoT) have led to an unprecedented surge in data generation and transmission. This surge has created an escalating demand for advanced signal processing capabilities. Microwave photonic (MWP) processors offer a promising solution to satisfy this unprecedented demand for data processing by capitalising on the high bandwidth and low latency achievable by optical systems. In this work, we introduce an integrated MWP processing unit for all-optical RF filtering using elemental antimony. We exploit the crystallisation dynamics of antimony to demonstrate a photonic leaky integrator, which is configured to operate as a first-order low-pass filter with a bandwidth of 300 kHz and ultra-compact footprint of 16 × 16 μm2. We experimentally demonstrate the implementation of such a filter as an envelope detector to demodulate an amplitude-modulated signal. Finally, a discussion on achieving bandwidth tunability is presented.
DOI: 10.5281/zenodo.13467133
title: All optical tunable RF filter using elemental antimony - Supplementary materials

description: In the past decade, the proliferation of modern telecommunication technologies, including 5G, and the widespread adoption of the Internet-of-things (IoT) have led to an unprecedented surge in data generation and transmission. This surge has created an escalating demand for advanced signal processing capabilities. Microwave photonic (MWP) processors offer a promising solution to satisfy this unprecedented demand for data processing by capitalising on the high bandwidth and low latency achievable by optical systems. In this work, we introduce an integrated MWP processing unit for all-optical RF filtering using elemental antimony. We exploit the crystallisation dynamics of antimony to demonstrate a photonic leaky integrator, which is configured to operate as a first-order low-pass filter with a bandwidth of 300 kHz and ultra-compact footprint of 16 × 16 μm2. We experimentally demonstrate the implementation of such a filter as an envelope detector to demodulate an amplitude-modulated signal. Finally, a discussion on achieving bandwidth tunability is presented.
DOI: 10.15468/dl.b6h48x
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balanophora subcupularis P.C.Tam)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107511-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy8s8p
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pavetta kupensis S.D.Manning"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107512-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuf45d
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea pecho Albov",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107513-240626123714530/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/9273487
title: Classification of biology textbooks in russian
DOI: 10.34740/kaggle/dsv/9273492
title: Classification of biology textbooks in russian
DOI: 10.5281/zenodo.13454445
title: delete
DOI: 10.5281/zenodo.13454446
title: delete
DOI: 10.34740/kaggle/dsv/9273499
title: Classification of biology textbooks in russian
DOI: 10.15468/dl.f6z25m
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psephellus pecho (Albov) Wagenitz",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107515-240626123714530/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.26869624
title: <b>The role of systemic inflammatory indices in predicting nausea and vomiting in pregnancy and the need for hospitalization</b>

description: Background: Hyperemesis gravidarum (HG), in which altered inflammation plays an important role in the pathogenesis, is a severe form of nausea and vomiting in pregnancy (NVP) that can lead to serious consequences for both mother and offspring. Aims: To investigate the role of systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI) and pan-immune inflammation value (PIV) in predicting NVP and severity. Study design: A retrospective study Methods: A total of 278 eligible patients with NVP and 278 gestational age-matched healthy pregnant women were included. Participants with NVP were categorized into mild (n=58), moderate (n=140) and severe NVP (n=80). Patients with moderate or severe NVP, who almost always require hospitalization, were assigned to the ‘inpatient treatment' group. First trimester complete blood count derived indices were calculated and compared between groups Results: SII and PIV were significantly higher in the NVP group than in the control group, while SII, SIRI and PIV were significantly higher in the inpatient treatment group than in the mild NVP group. While SII was better than PIV in predicting NVP development (p&lt;0.001), there was no significant superiority between SII, SIRI and PIV in predicting inpatient treatment needs. An SII with a cut-off value of &gt;966x103/µL (63.67% sensitivity, 68.35% specificity) had the highest discriminatory power for prediction. Conclusion: Our results suggest an association between high SII and PIV and an increased risk of NVP, which can be used as a first trimester screening test to improve treatment planning for pregnancies at high risk of HG.
DOI: 10.6084/m9.figshare.26869624.v1
title: <b>The role of systemic inflammatory indices in predicting nausea and vomiting in pregnancy and the need for hospitalization</b>

description: Background: Hyperemesis gravidarum (HG), in which altered inflammation plays an important role in the pathogenesis, is a severe form of nausea and vomiting in pregnancy (NVP) that can lead to serious consequences for both mother and offspring. Aims: To investigate the role of systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI) and pan-immune inflammation value (PIV) in predicting NVP and severity. Study design: A retrospective study Methods: A total of 278 eligible patients with NVP and 278 gestational age-matched healthy pregnant women were included. Participants with NVP were categorized into mild (n=58), moderate (n=140) and severe NVP (n=80). Patients with moderate or severe NVP, who almost always require hospitalization, were assigned to the ‘inpatient treatment' group. First trimester complete blood count derived indices were calculated and compared between groups Results: SII and PIV were significantly higher in the NVP group than in the control group, while SII, SIRI and PIV were significantly higher in the inpatient treatment group than in the mild NVP group. While SII was better than PIV in predicting NVP development (p&lt;0.001), there was no significant superiority between SII, SIRI and PIV in predicting inpatient treatment needs. An SII with a cut-off value of &gt;966x103/µL (63.67% sensitivity, 68.35% specificity) had the highest discriminatory power for prediction. Conclusion: Our results suggest an association between high SII and PIV and an increased risk of NVP, which can be used as a first trimester screening test to improve treatment planning for pregnancies at high risk of HG.
DOI: 10.15468/dl.zq2848
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pavetta laxa S.D.Manning"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107516-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57707/fmi-b2share.081fbcdbb5be411b85fccd1974867338
title: Data and code for the manuscript "Future snow scenarios for Northern Europe based on Coupled Model Intercomparison Project Phase 6 data" by Petri Räisänen et al.

description: This dataset contains analyses of changes in snow conditions in Northern Europe (land areas between 4-40 E, 50-72N) simulated by the latest CMIP6 generation of global climate models. Also provided are fortran programs and GrADS and R scripts employed to generate the results in the manuscript (Räisänen et al. 2024, submitted to International Journal of Climatology).

REFERENCE TO THE MANUSCRIPT (please refer to the final accepted version if/when the paper will be accepted):

Räisänen, P., Luomaranta, A., and Jylhä, K. (2024): Future snow scenarios for Northern Europe based on Coupled Model Intercomparison Project phase 6 data. International Journal of Climatology, submitted.
description: The starting point for the analysis was daily snow water equivalent (SWE) data for CMIP6 models for years 1951-2100, where historical experiments extending to year 2014 were combined with Shared Socieconomic Pathways scenarios SSP126, SSP245, SSP370 and SSP585 for years 2015-2100. A single ensemble member (i.e., model run) was analyzed for 15-17 CMIP6 models, depending on the scenario. In addition, large single-model ensembles (40-50 parallel runs) were analyzed for three CMIP6 models (ACCESS-ESM1-5, CanESM5 and MIROC6) for the SSP245 scenario. Based on these data, several snow season metrics were first computed for each "snow year" (from 1 Sep of the previous year to 31 Aug) in the period 1951-2100. These metrics included (but are not limited to) the maximum SWE in winter and the length, start date and end date of the longest continuous snow period. Based on these yearly metrics, trends over the periods 1951-2023 and 2023-2100 and 20-year running-mean changes compared to the reference period 1981-2010 were further computed and analyzed. Similar analysis was also performed for ERA5-Land reanalysis data (years 1951-2023).
description: The contents of the data files are described in the file "README_data.txt". The contents of the file containing code ("code_and_scripts.zip") are described in "README_code.txt" as well as in README files included in the zip file. The terms of use for the data and the code are given in the files "License_data.txt" and "License_code.txt", respectively.
DOI: 10.15468/dl.kp6txz
title: Occurrence Download

description: A dataset containing 6731120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanistes caeruleus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 6731120 records from 4852 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107507-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh462642.07fu
title: SH462642.07FU

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/sh1830722.08fu
title: SH1830722.08FU

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/sh1830723.08fu
title: SH1830723.08FU

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/sh462643.07fu
title: SH462643.07FU

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/sh462644.07fu
title: SH462644.07FU

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/sh462645.07fu
title: SH462645.07FU

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.