cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18368421
title: Bioregionalization of the Southern Ocean based on phytoplankton biomass distribution: Datasets and Python Code

description: Datasets used and produced as part of the study from Mayot et al. (in revision) - GBC. This study was conducted using data from the E.U. Copernicus Marine Service Information (https://doi.org/10.48670/moi-00046; accessed in Januray 2025). The Python codes used to perform the analysis and figures are available on GitHub: https://github.com/nmayot/SO_regionalization

What is in the files?



clim_reg.nc: climatological regionalisation of the Southern Ocean



Dimensions:



latitude

longitude



Variables:



cluster (latitude, longitude)

proba (latitude, longitude)








ann_reg.nc: annual regionalisations of the Southern Ocean



Dimensions:



latitude

longitude

year

nclus



Variables:



cluster (latitude, longitude, year)

proba (latitude, longitude, year, nclus)








chl_3d_clim.nc: climatological profiles of Chla



Dimensions:



latitude

longitude

depth: from 0 to 1000 m

time: week number



Variables:



chl (time, depth, latitude, longitude): in mg/m3








bbp_3d_clim.nc: climatological profiles of bbp



Dimensions:



latitude

longitude

depth: from 0 to 1000 m

time: week number



Variables:



bbp (time, depth, latitude, longitude): in m-1








bbp_chla_data.pkl: 



new_merged_data: climatological profiles of bbp and chla prepared for the analysis

id_pixel: index of the pixels with available data






SO_regionalization.zip: GitHub archive containing all Python code
DOI: 10.5281/zenodo.18368422
title: Bioregionalization of the Southern Ocean based on phytoplankton biomass distribution: Datasets and Python Code

description: Datasets used and produced as part of the study from Mayot et al. (in revision) - GBC. This study was conducted using data from the E.U. Copernicus Marine Service Information (https://doi.org/10.48670/moi-00046; accessed in Januray 2025). The Python codes used to perform the analysis and figures are available on GitHub: https://github.com/nmayot/SO_regionalization

What is in the files?



clim_reg.nc: climatological regionalisation of the Southern Ocean



Dimensions:



latitude

longitude



Variables:



cluster (latitude, longitude)

proba (latitude, longitude)








ann_reg.nc: annual regionalisations of the Southern Ocean



Dimensions:



latitude

longitude

year

nclus



Variables:



cluster (latitude, longitude, year)

proba (latitude, longitude, year, nclus)








chl_3d_clim.nc: climatological profiles of Chla



Dimensions:



latitude

longitude

depth: from 0 to 1000 m

time: week number



Variables:



chl (time, depth, latitude, longitude): in mg/m3








bbp_3d_clim.nc: climatological profiles of bbp



Dimensions:



latitude

longitude

depth: from 0 to 1000 m

time: week number



Variables:



bbp (time, depth, latitude, longitude): in m-1








bbp_chla_data.pkl: 



new_merged_data: climatological profiles of bbp and chla prepared for the analysis

id_pixel: index of the pixels with available data






SO_regionalization.zip: GitHub archive containing all Python code
DOI: 10.6084/m9.figshare.31245142
title: Supporting Information

description: <b>Dataset of hatching-timing field observations from Experiment 1</b><b>.</b><b> </b>The number of naturally and artificially hatched individuals and their developmental stage in each cluster, on each observation day. For defining the developmental stage, we used the table for the normal stage of development of a hynobiid salamander,<i>Hynobius nigrescens </i>Stejneger (Iwasawa & Yamashita, 1991), one of the closely related species of our study species <i>Hynobius retardatus </i>in this report.<b>Dataset from Experiment 1</b><b>.</b><b> </b>Developmental stage (DS) and morphological traits: body length (BL; tip of thesnout to tip of tail), head width (HW), gape width (GW), snout–vent length (SVL; tip of the snout totheposterior end of the cloaca), and tail length (TAL; posterior end of the cloacato tip of the tail) in each replicates in Experiment 1. The R code used for statistical analyses and figure generation for this experiment (Figure 2) is provided as “<b>R code for Experiment 1.</b>”<b>Dataset from Experiment 2</b><b>.</b><b> </b>Body length of early- and late-hatched individuals in Experiment 2. The R code used for statistical analyses and figure generation for this experiment (Figure 3B) is provided as "<b>R code for Experiment 2.</b>"<b>Dataset from Experiment 3</b><b>.</b><b> </b>Body length and gape width ofpredators assigned to the early- and late-hatch treatments;and body length, head width and survival time of early- and late-hatched individuals in Experiment 3. The R code used for statistical analyses and figure generation for this experiment (Figure 4) is provided as "<b>R code for Experiment 3.</b>"
DOI: 10.6084/m9.figshare.31245142.v1
title: Supporting Information

description: <b>Dataset of hatching-timing field observations from Experiment 1</b><b>.</b><b> </b>The number of naturally and artificially hatched individuals and their developmental stage in each cluster, on each observation day. For defining the developmental stage, we used the table for the normal stage of development of a hynobiid salamander,<i>Hynobius nigrescens </i>Stejneger (Iwasawa & Yamashita, 1991), one of the closely related species of our study species <i>Hynobius retardatus </i>in this report.<b>Dataset from Experiment 1</b><b>.</b><b> </b>Developmental stage (DS) and morphological traits: body length (BL; tip of thesnout to tip of tail), head width (HW), gape width (GW), snout–vent length (SVL; tip of the snout totheposterior end of the cloaca), and tail length (TAL; posterior end of the cloacato tip of the tail) in each replicates in Experiment 1. The R code used for statistical analyses and figure generation for this experiment (Figure 2) is provided as “<b>R code for Experiment 1.</b>”<b>Dataset from Experiment 2</b><b>.</b><b> </b>Body length of early- and late-hatched individuals in Experiment 2. The R code used for statistical analyses and figure generation for this experiment (Figure 3B) is provided as "<b>R code for Experiment 2.</b>"<b>Dataset from Experiment 3</b><b>.</b><b> </b>Body length and gape width ofpredators assigned to the early- and late-hatch treatments;and body length, head width and survival time of early- and late-hatched individuals in Experiment 3. The R code used for statistical analyses and figure generation for this experiment (Figure 4) is provided as "<b>R code for Experiment 3.</b>"
DOI: 10.15468/dl.dksbu5
title: Occurrence Download

description: A dataset containing 12721 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 28.773895969281842
 AND decimallatitude &lt;= 33.06103686093294
 AND decimallongitude &gt;= 70.36901154524809
 AND decimallongitude &lt;= 77.92563160714433
 AND GBIF_Within('POLYGON ((77.925632 28.773896, 77.925632 33.061037, 70.369012 33.061037, 70.369012 28.773896, 77.925632 28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 12721 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001561-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18527688
title: COMPARATIVE ANALYSIS OF ANTHROPOMETRIC INDICATORS IN HEALTHY CHILDREN AND CHILDREN WITH THYROID DYSFUNCTION IN THE ANDIJAN REGION

description: Anthropometric indicators are essential parameters for evaluating physical development and health status in children. Endocrine disorders, particularly thyroid dysfunction, play a significant role in regulating growth, metabolism, and maturation processes during childhood. Thyroid hormone imbalance may lead to growth retardation, altered body composition, and deviations in weight and height. This study presents a comparative analysis of anthropometric indicators in healthy children and children with thyroid dysfunction in the Andijan region. Body height, body weight, and body mass index were assessed and compared between the two groups. The findings demonstrate significant differences in growth parameters, emphasizing the impact of thyroid dysfunction on physical development and the importance of regular anthropometric monitoring in pediatric endocrine disorders.
DOI: 10.5281/zenodo.18527687
title: COMPARATIVE ANALYSIS OF ANTHROPOMETRIC INDICATORS IN HEALTHY CHILDREN AND CHILDREN WITH THYROID DYSFUNCTION IN THE ANDIJAN REGION

description: Anthropometric indicators are essential parameters for evaluating physical development and health status in children. Endocrine disorders, particularly thyroid dysfunction, play a significant role in regulating growth, metabolism, and maturation processes during childhood. Thyroid hormone imbalance may lead to growth retardation, altered body composition, and deviations in weight and height. This study presents a comparative analysis of anthropometric indicators in healthy children and children with thyroid dysfunction in the Andijan region. Body height, body weight, and body mass index were assessed and compared between the two groups. The findings demonstrate significant differences in growth parameters, emphasizing the impact of thyroid dysfunction on physical development and the importance of regular anthropometric monitoring in pediatric endocrine disorders.
DOI: 10.15468/dl.pn6vae
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acourtia ciprianoi"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001565-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqqk38
title: Occurrence Download

description: A dataset containing 88980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Umbilicus rupestris"
 ]
}

 The dataset includes 88980 records from 738 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001552-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.herxcm
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrochoerus isthmius Goldman, 1912",
 "Year 1971-2021"
 ]
}

 The dataset includes 135 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296968-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kksu32
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Acacia fimbriata A.Cunn. ex G.Don"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004579-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyefr2
title: Occurrence Download

description: A dataset containing 5912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anemia Sw."
 ]
}

 The dataset includes 5912 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324136-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb4n7c
title: Occurrence Download

description: A dataset containing 1538073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1538073 records from 1276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304733-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p0cnrh
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Echinochloa crus-galli (L.) P.Beauv."
 ]
}

 The dataset includes 518 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009562-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj63mu
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-22.18112 35.43066,13.18112 35.43066,13.18112 49.56934,-22.18112 49.56934,-22.18112 35.43066))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Santolina semidentata Hoffmanns. & Link"
 ]
}

 The dataset includes 257 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281695-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je8nk8
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aglaeactis aliciae Salvin, 1896)",
 "DecimalLatitude is greater than or equal to -20.85",
 "DecimalLatitude is less than or equal to 2.46666666666667",
 "DecimalLongitude is greater than or equal to -83.8333333333333",
 "DecimalLongitude is less than or equal to -66.15"
 ]
}

 The dataset includes 122 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324137-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4v428
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Leptodeira maculata (Hallowell, 1861)"
 ]
}

 The dataset includes 2219 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296972-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmvlzn
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009562-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdgtsn
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa nasturtium-aquaticum Schinz & Thell."
 ]
}

 The dataset includes 78 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292579-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj97ei
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichocline dealbata (Hook. & Arn.) Benth. & Hook.fil. ex Hieron.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009562-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgrwjh
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rafflesia arnoldi R.Br."
 ]
}

 The dataset's 1 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304737-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwp7fg
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Heteranthera mexicana S.Watson"
 ]
}

 The dataset includes 28 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061956-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ab8a4j
title: Occurrence Download

description: A dataset containing 1170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-104.32617 28.80615,-70.59814 30.2124,-70.79352 43.79131,-104.94141 42.80273,-104.32617 28.80615))",
 "TaxonKey is Pueraria montana (Lour.) Merr."
 ]
}

 The dataset includes 1170 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195271-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nibqvc
title: Occurrence Download

description: A dataset containing 8987 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Árboles mexicanos potencialmente valiosos para la restauración ecológica y la reforestación"
 ]
}

 The dataset includes 8987 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009562-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrxfbj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus wiedii oaxacensis (Nelson & Goldman, 1931)"
 ]
}

 The dataset includes 46 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219210-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts5aeq
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mazama americana (Erxleben, 1777)",
 "Year 1971-2021"
 ]
}

 The dataset includes 132 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296969-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0165815.10fu
title: SH0165815.10FU

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/sh0165816.10fu
title: SH0165816.10FU

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.