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

description: A dataset containing 5314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus ciliaris L.",
 "Continent is Africa"
 ]
}

 The dataset includes 5314 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000454-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ctwmq
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.10_1",
 "TaxonKey is Meleagris gallopavo Linnaeus, 1758",
 "Year 2020-2023"
 ]
}

 The dataset includes 1363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000455-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1157
title: Dataset supporting the publication 'Dynamic finite element analysis of hip replacement edge loading: balancing precision and run time in a challenging model'

description: This dataset contains the full set of output values from a modelling study, summarised as follows. An important aspect in evaluating the resilience of hip replacement designs is testing their performance under adverse conditions that cause edge loading of the acetabular liner. The representation of edge loading conditions in computational models is computationally challenging, however, due to the changing contact locations, need for mesh refinement, and dynamic nature of the system.

In the associated paper, an initial starting point for finite element modelling of this type of testing was developed. This consisted of recommendations for aspects such as the element type and shape, and to set up the head as the translating component and fix the liner using boundary conditions. It also included recommendations for element sizing for the bulk of the liner and the contacted rim, and a mass-scaling target time increment for the elements of the liner. In the paper we present a relatively clean sensitivity study to justify these choices and describe the sensitivity of results around them so that someone putting together a new model can hopefully do so far more quickly. There was a large amount of underpinning sensitivity testing, however, which was less structured but important for getting to this final recommendation. This data packet therefore contains results from two preliminary load cases (A and B) as well as the data used in the supported paper (case C).
DOI: 10.15468/dl.eaa6v8
title: Occurrence Download

description: A dataset containing 14841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haliaeetus albicilla (Linnaeus, 1758)"
 ]
}

 The dataset includes 14841 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/fv59s0/avofir
title: data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv

description: Use this data table to run R scripts for all response variables.
DOI: 10.25625/fv59s0/jfpxsd
title: Species_list_plants_wild_bees.tab

description: List of plant and wild bee species recorded during the survey.
DOI: 10.25625/fv59s0
title: Landscape diversity, habitat connectivity, age and size determine the conservation value of limestone quarries for diverse wild bee communities

description: This dataset will include specis lists, data tables and R scripts used for the statistical analysis of the article: Kirsch, F., Haß, A. L., Alfert, A. and Westphal, C. (2024): “Landscape diversity, habitat connectivity, age and size determine the conservation value of limestone quarries for diverse wild bee communities” (Journal of Applied Ecology).
DOI: 10.25625/fv59s0/d670ov
title: R_script_species_richness.R

description: R script to analyze the effects of local habitat features, landscape variables and their interactions on the average wild bee richness per study site and run in limestone quarries. Execute the script with the data table data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv. Further comments can be found in the script.
DOI: 10.25625/fv59s0/io7trn
title: R_script_abundance.R

description: R script to analyze the effects of local habitat features, landscape variables and their interactions on the average wild bee abundance per study site and run in limestone quarries. Execute the script with the data table data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv. Further comments can be found in the script.
DOI: 10.25625/fv59s0/p6aq5n
title: R_script_threatened_bee_species.R

description: R script to analyze the effects of local habitat features, landscape variables and their interactions on the average richness of threatened wild bees per study site and run in limestone quarries. Execute the script with the data table data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv. Further comments can be found in the script.
DOI: 10.25625/fv59s0/pe5sn6
title: species_rarefaction_curve.txt

description: Data object for calculating the estimated species richness and creating a species rarefaction curve with the R script R_script_species_rarefaction_curve.R.
DOI: 10.25625/fv59s0/sp92rz
title: R_script_species_rarefaction_curve.R

description: R script for calculating the estimated species richness and creating a species rarefaction curve. Execute the script with the data object species_rarefaction_curve.txt. Further comments can be found in the script.
DOI: 10.25625/fv59s0/svrhqk
title: R_script_species_richness.R

description: R script to analyze the effects of local habitat features, landscape variables and their interactions on the average wild bee richness per study site and run in limestone quarries. Execute the script with the data table data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv. Further comments can be found in the script.
DOI: 10.25625/fv59s0/zwdxns
title: R_script_abundance.R

description: R script to analyze the effects of local habitat features, landscape variables and their interactions on the average wild bee abundance per study site and run in limestone quarries. Execute the script with the data table data_table_landscape_diversity_habitat connectivity_age_and_size_determine_the_conservation_value_of_limestone_quarries.csv.
DOI: 10.15468/dl.47hbg6
title: Occurrence Download

description: A dataset containing 905934 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus europaeus Pallas, 1778"
 ]
}

 The dataset includes 905934 records from 3122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000434-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/w6e8f6
title: The rare beetle egg parasitoid Platystasius transversus (Thomson) (Hymenoptera: Platygastridae: Sceliotrachelinae), a new genus and species record for Germany

description: This dataset contains the digitized treatments in Plazi based on the original journal article Awad, Jessica, Vasili, Cristina, Krogmann, Lars (2021): The rare beetle egg parasitoid Platystasius transversus (Thomson) (Hymenoptera: Platygastridae: Sceliotrachelinae), a new genus and species record for Germany. Insecta Mundi 2021 (886): 1-5, DOI: 10.5281/zenodo.5567662Abstract. Platystasius transversus (Thomson) (Hymenoptera: Platygastridae) is a rarely collected egg parasitoid of Leptura aurulenta Fabricius (Coleoptera: Cerambycidae). Four female specimens were found in Germany, a new country record for the genus and species. Illustrations, DNA barcodes, and an updated distribution are provided. We review its taxonomic history, biology, and ecological associations.
DOI: 10.15468/aq86km
title: Polystichum lionelii (Dryopteridaceae), a new Andean species from northwestern Argentina

description: This dataset contains the digitized treatments in Plazi based on the original journal article Martínez, Olga G., Hernández, Marcela A., Serapio, Fabiola (2023): Polystichum lionelii (Dryopteridaceae), a new Andean species from northwestern Argentina. Phytotaxa 619 (2): 189-196, DOI: 10.11646/phytotaxa.619.2.7, URL: http://dx.doi.org/10.11646/phytotaxa.619.2.7AbstractPolystichum lionelii, a new fern species from the Andean mountain grasslands of northwestern Argentina, is described and illustrated. It is morphologically well differentiated from the other species occurring in the region, showing some relationships especially with P. pycnolepis particularly by the morphology of the pinnules. However, the new species differs from the latter in significant characters, the rhizome scales are ovate to ovate-lanceolate, the basal petiole scales are concolorous, and lamina with filiform scales and multicellular hairs on the abaxial side. An identification key to all Polystichum taxa currently known to occur in the northwestern Argentina is presented.Key word s: Andean ferns, grasslands, mountain, Neotropics, puna, South America, taxonomy
DOI: 10.15468/dl.g6tktp
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((62.42091 -6.64875,125.47066 -6.64875,125.47066 37.53847,62.42091 37.53847,62.42091 -6.64875))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Shorea siamensis (Kurz) Miq."
 ]
}

 The dataset includes 705 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047993-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkntjr
title: Occurrence Download

description: A dataset containing 9461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus cerris L."
 ]
}

 The dataset includes 9461 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u3w7z
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium palentinum Losa & P.Monts."
 ]
}

 The dataset includes 222 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026218-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uy3avs
title: Occurrence Download

description: A dataset containing 7985 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melia azedarach L."
 ]
}

 The dataset includes 7985 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.td0hfd
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinopterygii",
 "Country is Brazil",
 "Geometry POLYGON((-41.704101 -2.723583,-41.407470 -2.877207,-41.868896 -4.028658,-42.011718 -6.708253,-43.330078 -8.015715,-44.868164 -9.318990,-45.483398 -10.487811,-46.296386 -10.962764,-47.065429 -10.552621,-47.263183 -9.687398,-47.757568 -8.885071,-47.224731 -8.135367,-47.460937 -7.961317,-48.109130 -7.111794,-47.900390 -6.118707,-49.306640 -5.834616,-49.669189 -5.615985,-49.888916 -4.839207,-48.581542 -4.915832,-48.691406 -3.908098,-46.845703 -2.240639,-46.801757 -1.142502,-46.702880 -2.207705,-46.285400 -1.515936,-45.834960 -1.043643,-45.208740 -1.065612,-44.472656 -1.417091,-41.704101 -2.723583))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 826 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npahbj
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codakia paytenorum (Iredale, 1937)"
 ]
}

 The dataset includes 484 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053835-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw7oi4
title: Occurrence Download

description: A dataset containing 5777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ara ararauna (Linnaeus, 1758)"
 ]
}

 The dataset includes 5777 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrjmnf
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coscinoderma mathewsi (Lendenfeld, 1886)"
 ]
}

 The dataset includes 231 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009485-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr3tnz
title: Occurrence Download

description: A dataset containing 2434289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinodermata"
 ]
}

 The dataset includes 2434289 records from 1559 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049093-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.stk.acisfj1833457m102744_001
title: Chandra X-ray Observatory Stack acisfJ1833457m102744_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2008299p002118_001
title: Chandra X-ray Observatory Stack acisfJ2008299p002118_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1907550p060157_001
title: Chandra X-ray Observatory Stack acisfJ1907550p060157_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1923004p141444_001
title: Chandra X-ray Observatory Stack acisfJ1923004p141444_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1748031m244728_001
title: Chandra X-ray Observatory Stack acisfJ1748031m244728_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1856074p021827_001
title: Chandra X-ray Observatory Stack acisfJ1856074p021827_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1745101m263544_001
title: Chandra X-ray Observatory Stack acisfJ1745101m263544_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1745070m265952_001
title: Chandra X-ray Observatory Stack acisfJ1745070m265952_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1745566m314143_001
title: Chandra X-ray Observatory Stack acisfJ1745566m314143_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1748174m300529_001
title: Chandra X-ray Observatory Stack acisfJ1748174m300529_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1857506p375910_001
title: Chandra X-ray Observatory Stack acisfJ1857506p375910_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1858078m490043_001
title: Chandra X-ray Observatory Stack acisfJ1858078m490043_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1911150p003512_001
title: Chandra X-ray Observatory Stack acisfJ1911150p003512_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2000425p224229_001
title: Chandra X-ray Observatory Stack acisfJ2000425p224229_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1841595m052135_001
title: Chandra X-ray Observatory Stack acisfJ1841595m052135_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1834302m102809_001
title: Chandra X-ray Observatory Stack acisfJ1834302m102809_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1857505p024002_001
title: Chandra X-ray Observatory Stack acisfJ1857505p024002_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1959215p404409_001
title: Chandra X-ray Observatory Stack acisfJ1959215p404409_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1834527m084603_001
title: Chandra X-ray Observatory Stack acisfJ1834527m084603_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1910175p090457_001
title: Chandra X-ray Observatory Stack acisfJ1910175p090457_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1858350m081415_001
title: Chandra X-ray Observatory Stack acisfJ1858350m081415_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1949410p263153_001
title: Chandra X-ray Observatory Stack acisfJ1949410p263153_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2014302p411342_001
title: Chandra X-ray Observatory Stack acisfJ2014302p411342_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1836243m235242_001
title: Chandra X-ray Observatory Stack acisfJ1836243m235242_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".