cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n4eqvh
title: Occurrence Download

description: A dataset containing 1391650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pulmonaria obscura Dumort., Phleum pratense L., Deschampsia cespitosa (L.) P.Beauv., Agrostis gigantea Roth, Lolium pratense (Huds.) Darbysh.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 1391650 records from 1576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073111-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7f8q2
title: Occurrence Download

description: A dataset containing 1668879 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Achillea L.)"
 ]
}

 The dataset includes 1668879 records from 4507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001971-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufhqx8
title: Occurrence Download

description: A dataset containing 2074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Morocco, Western Sahara)",
 "Geometry POLYGON((-42.39697 2.72035,76.39697 2.72035,76.39697 50.27965,-42.39697 50.27965,-42.39697 2.72035))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphocoris clotbey (Bonaparte, 1850)"
 ]
}

 The dataset includes 2074 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000227-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11097213
title: The global fish and invertebrate abundance value of mangroves dataset

description: This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. 

Description of files



Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data


R Scripts & Data



This folder contain several R scripts and data files to used calculate the values in zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. 


Predictions*

Species Predictions



all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.

all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.

all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.


Species Group Predictions



all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).


Prediction Shapefiles



Species Name Contractions.csv: file with key to name contractions in the shapefile datasets

Shapfiles: spatial representations of the Predictions datasets based on the 1km2 grid


* N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum
DOI: 10.5281/zenodo.11097214
title: The global fish and invertebrate abundance value of mangroves dataset

description: This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying bioRxiv preprint, zu Ermgassen et al. (2024) The global fish and invertebrate abundance value of mangroves

Description of files



Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data


R Scripts & Data



This folder contain several R scripts and data files to used calculate the values in zu Ermgassen et al. (2024) The global fish and invertebrate abundance value of mangroves. 


Species Predictions*



all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1 km2.

all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1 km2.

all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1 km2.

Species Name Contractions.csv: file with key to name contractions in above datasets

Shapfiles: spatial representations of the above datasets based on the 1km2 grid


Species Group Predictions



all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1 km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).

Shapfiles: spatial representations of the above dataset based on the 1km2 grid


* N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum
DOI: 10.5281/zenodo.14965669
title: The global fish and invertebrate abundance value of mangroves dataset

description: This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. 

Description of files



Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data


R Scripts & Data



This folder contain several R scripts and data files to used calculate the values in zu Ermgassen et al. (2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. 


Predictions*

Species Predictions



all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.

all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.

all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.


Species Group Predictions



all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).


Prediction Shapefiles



Species Name Contractions.csv: file with key to name contractions in the shapefile datasets

Shapfiles: spatial representations of the Predictions datasets based on the 1km2 grid


* N.B. data labeled Neosarmatium meinerti in the above files has been corrected to Neosarmatium africanum
DOI: 10.5281/zenodo.14999213
title: Complex optical constants of CsPbCl3 perovskite thin films determined by spectroscopic ellipsometry

description: This dataset contains raw experimental data, processed results, and oscillator parametrs used to determine the optical properties of CsPbCl₃ thin films using spectroscopic ellipsometry (SE) and UV Vis spectroscopy
DOI: 10.5281/zenodo.14999214
title: Complex optical constants of CsPbCl3 perovskite thin films determined by spectroscopic ellipsometry

description: This dataset contains raw experimental data, processed results, and oscillator parametrs used to determine the optical properties of CsPbCl₃ thin films using spectroscopic ellipsometry (SE) and UV Vis spectroscopy
DOI: 10.15468/dl.jxan6w
title: Occurrence Download

description: A dataset containing 6809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxaceae"
 ]
}

 The dataset includes 6809 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000229-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8ntpj
title: Occurrence Download

description: A dataset containing 45227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is one of (NT, LC, NE, DD)",
 "TaxonKey is Cycadopsida"
 ]
}

 The dataset includes 45227 records from 574 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000228-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbgre6
title: Occurrence Download

description: A dataset containing 20819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is one of (VU, EN, CR, EW)",
 "TaxonKey is Cycadopsida"
 ]
}

 The dataset includes 20819 records from 391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000230-250310093411724/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.28564391
title: Nobel Laureates and Google Scholar citation data

description: <b>Data related to the article:</b><br><i>Does excellence correspond to a universal level of inequality? Evidence from scholarly citations & Olympic medal data</i>; Soumyajyoti Biswas, Bikas K. Chakrabarti, Asim Ghosh, Sourav Ghosh, Máté Józsa, and Zoltán Néda.<br>As the filenames suggest, the dataset contains information about 235,750 authors from Google Scholar, including their Google Scholar IDs (for more details, see this dataset). Additionally, it includes data on 80 Nobel Laureates, with the following metrics:<b>np</b> = number of publications<b>nc</b> = number of citations<b>h</b> = Hirsch index<b>q</b> = Q-factor (maximum citations / mean citations)<b>g</b> = Gini index<b>k</b> = Kolkata index
DOI: 10.15468/dl.gzhgv6
title: Occurrence Download

description: A dataset containing 938 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 {
 "and" : [
 "Country is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 "HasGeospatialIssue is false"
 ]
 },
 "Geometry POLYGON((-74 -60, -25 -60, -25 -90, -74 -90, -74 -60))"
 ]
 },
 {
 "and" : [
 "Geometry POLYGON((-64.98850437390068 -54.566456866341824,-64.98850437390068 -55.042521633315054,-62.536879145894716 -55.042521633315054,-62.536879145894716 -54.566456866341824,-64.98850437390068 -54.566456866341824))",
 "TaxonKey is one of (Arthropoda)"
 ]
 }
 ]
}

 The dataset includes 938 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000233-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9qfez
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orthops scutellatus Uhler, 1877",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 745 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000234-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6kbw4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quadrastichus erythrinae Kim, 2004",
 "Year 1984-2025"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000236-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2xqxc
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-2.1 53.4,-2 53.4,-2 53.5,-2.1 53.5,-2.1 53.4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000232-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3bz4y
title: Occurrence Download

description: A dataset containing 2981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spizaetus melanoleucus (Vieillot, 1816)"
 ]
}

 The dataset includes 2981 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000238-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.karshn
title: Occurrence Download

description: A dataset containing 2045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spizaetus ornatus (Daudin, 1800)"
 ]
}

 The dataset includes 2045 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000237-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzbwsb
title: Occurrence Download

description: A dataset containing 3374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Suncus etruscus (Savi, 1822)"
 ]
}

 The dataset includes 3374 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000241-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.875u9u
title: Occurrence Download

description: A dataset containing 7014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Selenidera maculirostris (M.H.K.Lichtenstein, 1823)"
 ]
}

 The dataset includes 7014 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000240-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd3247-v1
title: The Labour Force Survey, 2023 (Annual Data)

description: Statistics Norway established the Labor Force Survey (LFS) in 1972, and it has been conducted quarterly ever since. The LFS measures the population's participation in the labor market and provides comprehensive information on unemployment, employment, people outside the labor force, temporary employees, underemployed and other subgroups that are not captured by register-based statistics. This makes the LFS one of the most important sources of information about conditions in the Norwegian labor market.

Right from the start, the aim has been to ensure that the survey is comparable with similar surveys internationally. Today, the LFS is designed in accordance with the EU's statistical regulations to ensure consistent and comparable European statistics. The LFS data contains long time series, and although there have been some breaks in the time series due to changes in the questionnaire and data collection, the most central variables have been continuously included since the start. This makes it possible to present time series data for the employed, unemployed and people outside the labor force all the way back to 1972.

The annual datasets include annual and two-year variables and are only asked to individuals interviewed for the 2nd and 6th time. In even-numbered years, questions about education and health are included.
DOI: 10.48597/7h6g-uhzc
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/67vd-c2b6
title: Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/92vq-gzwc
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/bt75-mcaw
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/n925-kcps
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/r5u6-hnn6
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/2z37-mez6
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/8mtg-fb2d
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.48597/c399-hx9s
title: Measurement of Ozone at Mt. Kenya

description: Measurement of Ozone at Mt. Kenya
DOI: 10.5281/zenodo.14999399
title: RNA viral community response to soil wetup and phosphate amendment

description: Find input files, bash scripts and qiime 2 output files in the Github repository
DOI: 10.5281/zenodo.14999400
title: RNA viral community response to soil wetup and phosphate amendment

description: Find input files, bash scripts and qiime 2 output files in the Github repository
DOI: 10.15468/dl.nnwyv7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus nhatrangensis (Hickel & A.Camus) A.Camus"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000244-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbjg22
title: Occurrence Download

description: A dataset containing 2034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Vulpes lagopus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2034 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000242-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzus27
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichomalopsis peregrina (Graham, 1969)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000243-250310093411724/datasets/export for details.
DOI: 10.15468/dl.zavdp8
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus nieuwenhuisii (Seemen) A.Camus"
 ]
}

 The dataset includes 272 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000246-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13981385
title: Critical length parameter of HDPE  and its use in fatigue lifetime predictions

description: Appendix includes S-N data of CRB and notched specimens.
DOI: 10.5281/zenodo.13981386
title: Critical length parameter of HDPE  and its use in fatigue lifetime predictions

description: Appendix includes S-N data of CRB and notched specimens.
DOI: 10.15468/dl.2pph5c
title: Occurrence Download

description: A dataset containing 1802 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euterpe edulis Mart."
 ]
}

 The dataset includes 1802 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000245-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23tp86
title: Occurrence Download

description: A dataset listing the 15 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-1.2 52.6,-1.1 52.6,-1.1 52.7,-1.2 52.7,-1.2 52.6))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 15 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000239-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.