cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0179944.10fu
title: SH0179944.10FU

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/sh0179945.10fu
title: SH0179945.10FU

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: 10.15468/dl.2sb6vn
title: Occurrence Download

description: A dataset containing 0 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 one of (Keraymonia pinnatifolia M.F.Watson)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007447-241107131044228/datasets/export for details.
DOI: 10.15468/dl.2j5h2e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 24",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007449-241107131044228/datasets/export for details.
DOI: 10.15468/dl.2dt2rk
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Cuba, Chile, Venezuela (Bolivarian Republic of), Paraguay, Canada, Mexico, Brazil, Uruguay, Argentina, United States of America)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, University of South Florida Herbarium (USF), University of Florida Herbarium (FLAS), Robert K. Godfrey Herbarium at Florida State University, Tropicos Specimens Non-MO, NMNH Extant Specimen Records (USNM, US), Tropicos MO Specimen Data, University of Vermont, Pringle Herbarium, University of British Columbia Herbarium (UBC) - Vascular Plant Collection, INSDC Sequences)",
 "TaxonKey is Salicornia ambigua Michx."
 ]
}

 The dataset includes 715 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007450-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urv74s
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriogaster catax (Linnaeus, 1767)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 151 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007451-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8zyvd
title: Occurrence Download

description: A dataset containing 94223 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungus Collections at Staatliches Museum für Naturkunde Karlsruhe (Herbarium KR)"
 ]
}

 The dataset includes 94223 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007444-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7uf34
title: Occurrence Download

description: A dataset containing 66729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Rhododendron ponticum L."
 ]
}

 The dataset includes 66729 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007448-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zym2ek
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 24",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007452-241107131044228/datasets/export for details.
DOI: 10.15468/dl.74wgnf
title: Occurrence Download

description: A dataset containing 0 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 one of (Keraymonia triradiata Cauwet & Farille)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007453-241107131044228/datasets/export for details.
DOI: 10.15468/dl.sun8v5
title: Occurrence Download

description: A dataset containing 2109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinolophus ferrumequinum (Schreber, 1774)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 2109 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007454-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fayfgn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 24",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007456-241107131044228/datasets/export for details.
DOI: 10.15468/dl.p9sjvg
title: Occurrence Download

description: A dataset containing 4706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cephalopholis miniata (Forsskål, 1775)"
 ]
}

 The dataset includes 4706 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007457-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5hgbv
title: Occurrence Download

description: A dataset containing 3243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbastella barbastellus (Schreber, 1774)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 3243 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007458-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8us75c
title: Occurrence Download

description: A dataset containing 455932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Frangula acuminata (Maguire & Steyerm.) A.Pool, Frangula alnus Mill., Frangula azorica Grubov, Frangula betulifolia (Greene) Grubov, Frangula breedlovei (L.A.Johnst. & M.C.Johnst.) A.Pool, Frangula californica (Eschsch.) A.Gray, Frangula capreifolia (Schltdl.) Grubov, Frangula caroliniana (Walter) A.Gray, Frangula chimalapensis (R.Fern.) A.Pool, Frangula chrysophylla Reissek, Frangula circumscissa A.Pool, Frangula crenata (Siebold & Zucc.) Miq., Frangula darienensis A.Pool, Frangula dianthes (L.Riley) Grubov, Frangula discolor (Donn.Sm.) Grubov, Frangula goudotiana (Triana & Planch.) Grubov, Frangula grandiflora A.Pool, Frangula grandifolia (Fisch. & C.A.Mey.) Grubov, Frangula granulosa (Ruiz & Pav.) Grubov, Frangula henryi (C.K.Schneid.) Grubov, Frangula hintonii (M.C.Johnst. & L.A.Johnst.) A.Pool, Frangula inconspicua A.Pool, Frangula lindeniana (Triana) Grubov, Frangula longipedicellata A.Pool, Frangula longipes (Merr. & Chun) Grubov, Frangula longistyla (C.B.Wolf) A.Pool, Frangula mcvaughii (L.A.Johnst. & M.C.Johnst.) A.Pool, Frangula mucronata (Schltdl.) Grubov, Frangula neblinensis (Maguire & Steyerm.) A.Pool, Frangula oreodendron (L.O.Williams) A.Pool, Frangula pendula A.Pool, Frangula polymorpha Reissek, Frangula pringlei (Rose) Grubov, Frangula pubescens (Ruiz & Pav.) Grubov, Frangula purshiana (DC.) J.G.Cooper, Frangula rhododendriphylla (Y.L.Chen & P.K.Chou) H.Yu, H.G.Ye & N.H.Xia, Frangula riojae (Perkins) Grubov, Frangula sphaerosperma (Sw.) Kartesz & Gandhi, Frangula surotatensis (Gentry) A.Pool, Frangula ulei (Pilg.) Grubov, Frangula wendtii (Ishiki) A.Pool)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 455932 records from 1644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007435-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1231
title: Human hip joint impingement shape and motion model: input and output data for an initial study of eight typical cam-type hip shapes

description: This dataset contains the input and output data for a computational study of femoroacetabular impingement. The model is composed of a simplified shape model of the human hip joint and the use of hip movement data from multiple activities and multiple subjects. The relevant study is a first demonstration of the capability of the model, which illustrates the effects of the location of a specific femoral bony shape feature on hip joint impingement measures. The details of the shape model design and the values selected for this study are included. The raw hip joint motion data is available in a separate dataset which is linked to this one. The raw outputs from the modelling performed for this study are also included.
DOI: 10.15468/dl.tcuffv
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus laxiflorus Baker",
 "Continent is Africa"
 ]
}

 The dataset includes 219 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000162-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c49eec
title: Occurrence Download

description: A dataset containing 6274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taraxacum Weber",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2023",
 "Country is Germany"
 ]
}

 The dataset includes 6274 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000163-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh8g3k
title: Occurrence Download

description: A dataset containing 4036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syngnathus typhle Linnaeus, 1758"
 ]
}

 The dataset includes 4036 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000164-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kr9t9
title: Occurrence Download

description: A dataset containing 3749565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.90804 46.96986,19.62021 46.96986,19.62021 66.51055,-12.90804 66.51055,-12.90804 46.96986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Larus fuscus Linnaeus, 1758"
 ]
}

 The dataset includes 3749565 records from 1094 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000131-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9up8jb
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus magnificus (Harms) Goldblatt",
 "Continent is Africa"
 ]
}

 The dataset includes 47 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000165-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hy2e3
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cochliomyia hominivorax (Coquerel, 1858)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 64 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzhuuq
title: Occurrence Download

description: A dataset containing 22635 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inner Oslofjorden Phytoplankton Database"
 ]
}

 The dataset includes 22635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000167-241107131044228/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.27629193
title: Patterns and controlling factors of soil microbial necromass carbon in global ecosystems

description: Microbial necromass is an important source of soil organic C (SOC) in terrestrial ecosystems. However, few studies have explored the distribution of microbial necromass and its contribution to SOC along the soil profile in global scale. Here, we collected a global dataset (2411 samples from 216 papers) of soil microbial necromass in 0–100 cm depths from wetlands, farmlands, grasslands and forestlands.
DOI: 10.3886/e208243
title: Data and Code for: Political Correctness, Social Image, and Information Transmission

description: A prominent argument in the debate about political correctness is that people may feel pressure to publicly espouse views on a set of sensitive political topics that they may not privately hold, and that such misrepresentations may render public discourse less vibrant and informative. This paper provides a formalization of the argument in terms of social image and evaluates it experimentally in the context of college campuses, where the debate about political correctness has been particularly heated. The results of the experiment show that: i) social image concerns indeed drive a wedge between the sensitive political attitudes that college students report in private and in public; ii) public utterances are less informative than private utterances according to a host of canonical measures of informativeness; iii) information loss is exacerbated by (partial) audience naiveté.
DOI: 10.3886/e208243v1
title: Data and Code for: Political Correctness, Social Image, and Information Transmission

description: A prominent argument in the debate about political correctness is that people may feel pressure to publicly espouse views on a set of sensitive political topics that they may not privately hold, and that such misrepresentations may render public discourse less vibrant and informative. This paper provides a formalization of the argument in terms of social image and evaluates it experimentally in the context of college campuses, where the debate about political correctness has been particularly heated. The results of the experiment show that: i) social image concerns indeed drive a wedge between the sensitive political attitudes that college students report in private and in public; ii) public utterances are less informative than private utterances according to a host of canonical measures of informativeness; iii) information loss is exacerbated by (partial) audience naiveté.
DOI: 10.15468/dl.df56ak
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.82538 38.21302,-8.36263 38.21302,-8.36263 39.34701,-9.82538 39.34701,-9.82538 38.21302))",
 "HasGeospatialIssue is false",
 "TaxonKey is Arnoglossus laterna (Walbaum, 1792)"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000169-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aerjmd
title: Occurrence Download

description: A dataset containing 3304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.08118 -12.07806,-77.06662 -12.08338,-77.06514 -12.08381,-77.06453 -12.0846,-77.06431 -12.08551,-77.06318 -12.08651,-77.04969 -12.07024,-77.05426 -12.06655,-77.05522 -12.06676,-77.05913 -12.0672,-77.06214 -12.0675,-77.06844 -12.06768,-77.07301 -12.06768,-77.07758 -12.06837,-77.07784 -12.06963,-77.07823 -12.07098,-77.07836 -12.0722,-77.07858 -12.07316,-77.07945 -12.07455,-77.08075 -12.07699,-77.08118 -12.07806))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3304 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000170-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbgjfd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptotermes acinaciformis (Froggatt, 1898)",
 "Country is New Zealand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000172-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5zdht
title: Occurrence Download

description: A dataset containing 1829078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "License is CC0 1.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1829078 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000062-241107131044228/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.26503667
title: Flexible Modeling of Nonstationary Extremal Dependence using Spatially Fused LASSO and Ridge Penalties

description: Statistical modeling of a nonstationary spatial extremal dependence structure is challenging. Parametric max-stable processes (MSPs) are common choices for modeling spatially indexed block maxima, where an assumption of stationarity is usual to make inference feasible. However, this assumption is unrealistic for data observed over a large or complex domain. We develop a computationally efficient method for estimating extremal dependence using a globally nonstationary but locally stationary MSP construction, with the spatial domain divided into a fine grid of subregions, each with its own dependence parameters. We use LASSO (L1) or ridge (L2) penalties to obtain spatially smooth parameter estimates. We then develop a novel data-driven algorithm to merge homogeneous neighboring subregions. The algorithm facilitates model parsimony and interpretability. To make our model suitable for high-dimensional data, we exploit a pairwise likelihood to perform inference and discuss its computational and statistical efficiency. We apply our proposed method to model monthly maximum temperature data at over 1400 sites in Nepal and the surrounding Himalayan and sub-Himalayan regions; we show significant improvements in model fit compared to a stationary model. Furthermore, we demonstrate that the estimated merged partition is interpretable from a geographic perspective and leads to better model diagnostics by adequately reducing the number of parameters.