cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5878/vf2y-k398
title: Analysis of Ectomycorrhizal Fungal Diversity, Relative Abundance, and Community Data in Effaråsen Scots Pine Forests: Effects of Tree Retention Level, Tree Distance, and Size.
title: Analys av diversitet, relativ abundans och artsammansättning av ektomykorrhizal svamp i tallskogarna vid Effaråsen: Effekter av hänsynsnivå, trädavstånd och kronstorlek.

description: This dataset comprises ecological and taxonomic data collected in 2017 from Scots pine forest stands in Effaråsen, Sweden, focusing on ectomycorrhizal (ECM) fungi diversity and SCATA counts. It includes three data files: (1) ECM2017.csv, the raw data, containing relative abundance data for ECM fungi across 245 soil samples with associated retention level categories; (2) stand_leveldata.csv, the aggregated data to the stand level, providing ecological data for the 25 forest stands ; and (3) tax_2017.csv, which lists species taxonomy, SCATA groups, genus, and functional group classifications for the species present in the study. The data were processed using SCATA or standardized taxonomic grouping. An accompanying R script (R_code_clean.R) performs data cleaning, diversity estimation using iNEXT, multivariate ordination (NMDS), correlation analyses, and visualization. This script requires specific R packages listed in the R file, and assumes data files are stored in a relative ./data directory. The dataset supports ecological and mycological research by providing detailed community composition and environmental variables relevant to Scots pine forest fungal diversity in northern Sweden.
description: Dessa data består av ekologiska och taxonomiska data insamlade 2017 från tallskogar i Effaråsen, Sverige, med fokus på diversitet i form av SCATA-räkningar för ektomykorrhizasvampar (ECM). Den innehåller tre datafiler: (1) ECM2017.csv, rådata med relativ abundansdata för ECM-svampar från 245 jordprover med tillhörande retentionnivå-kategorier; (2) stand_leveldata.csv, aggregerade data på beståndsnivå som innehåller ekologiska data för 25 skogsbestånd; och (3) tax_2017.csv, som listar artens taxonomi, SCATA-grupper, släkte samt funktionella gruppindelningar för de arter som förekommer i studien. Data har bearbetats med hjälp av SCATA eller standardiserad taxonomisk gruppering för att underlätta statistiska analyser. Ett medföljande R-skript (R_code_clean.R) utför datarengöring, uppskattning av diversitet med iNEXT, multivariat ordination (NMDS), korrelationsanalyser och visualiseringar. Detta skript kräver specifika R-paket som anges i R-filen och förutsätter att datafilerna finns i en relativ mapp ./data. Datasetet stöder ekologisk och mykologisk forskning genom att tillhandahålla detaljerad information om artsammansättning och miljövariabler som är relevanta för ECM-svampars mångfald i tallskogar i norra Sverige.
DOI: 10.5878/mf5n-r041
title: Analysis of Ectomycorrhizal Fungal Diversity, Relative Abundance, and Community Data in Effaråsen Scots Pine Forests: Effects of Tree Retention Level, Tree Distance, and Size.
title: Analys av diversitet, relativ abundans och artsammansättning av ektomykorrhizal svamp i tallskogarna vid Effaråsen: Effekter av hänsynsnivå, trädavstånd och kronstorlek.

description: This dataset comprises ecological and taxonomic data collected in 2017 from Scots pine forest stands in Effaråsen, Sweden, focusing on ectomycorrhizal (ECM) fungi diversity and SCATA counts. It includes three data files: (1) ECM2017.csv, the raw data, containing relative abundance data for ECM fungi across 245 soil samples with associated retention level categories; (2) stand_leveldata.csv, the aggregated data to the stand level, providing ecological data for the 25 forest stands ; and (3) tax_2017.csv, which lists species taxonomy, SCATA groups, genus, and functional group classifications for the species present in the study. The data were processed using SCATA or standardized taxonomic grouping. An accompanying R script (R_code_clean.R) performs data cleaning, diversity estimation using iNEXT, multivariate ordination (NMDS), correlation analyses, and visualization. This script requires specific R packages listed in the R file, and assumes data files are stored in a relative ./data directory. The dataset supports ecological and mycological research by providing detailed community composition and environmental variables relevant to Scots pine forest fungal diversity in northern Sweden.
description: Dessa data består av ekologiska och taxonomiska data insamlade 2017 från tallskogar i Effaråsen, Sverige, med fokus på diversitet i form av SCATA-räkningar för ektomykorrhizasvampar (ECM). Den innehåller tre datafiler: (1) ECM2017.csv, rådata med relativ abundansdata för ECM-svampar från 245 jordprover med tillhörande retentionnivå-kategorier; (2) stand_leveldata.csv, aggregerade data på beståndsnivå som innehåller ekologiska data för 25 skogsbestånd; och (3) tax_2017.csv, som listar artens taxonomi, SCATA-grupper, släkte samt funktionella gruppindelningar för de arter som förekommer i studien. Data har bearbetats med hjälp av SCATA eller standardiserad taxonomisk gruppering för att underlätta statistiska analyser. Ett medföljande R-skript (R_code_clean.R) utför datarengöring, uppskattning av diversitet med iNEXT, multivariat ordination (NMDS), korrelationsanalyser och visualiseringar. Detta skript kräver specifika R-paket som anges i R-filen och förutsätter att datafilerna finns i en relativ mapp ./data. Datasetet stöder ekologisk och mykologisk forskning genom att tillhandahålla detaljerad information om artsammansättning och miljövariabler som är relevanta för ECM-svampars mångfald i tallskogar i norra Sverige.
DOI: 10.6084/m9.figshare.30466097
title: Set of databases to analyze the SAI problem

description: This datasets are related to the analysis of a critical flaw in the influential Fazzari, Hubbard, and Petersen (1988) model, known as the Accounting Semi-Identity (ASI) problem. Because the model omits parts of a fundamental accounting identity, it can create a mechanical, not causal, link between investment and cash flow, severely biasing the results.The study tests an unrestricted model, with a variable measuring the SAI problem across numerous datasets and finds the ASI distortion is universal (affecting 100% of databases) and dominant (explaining over 83% of the model's variance, versus 17% for the standard model).The conclusion is that a significant portion of past research using this model may be invalid, as their results are very likely statistical artifacts rather than the expression of a real economic behavior. This evidence explains why the literature has been filled with anomalous and contradictory results for decades.
DOI: 10.6084/m9.figshare.30466097.v1
title: Set of databases to analyze the SAI problem

description: This datasets are related to the analysis of a critical flaw in the influential Fazzari, Hubbard, and Petersen (1988) model, known as the Accounting Semi-Identity (ASI) problem. Because the model omits parts of a fundamental accounting identity, it can create a mechanical, not causal, link between investment and cash flow, severely biasing the results.The study tests an unrestricted model, with a variable measuring the SAI problem across numerous datasets and finds the ASI distortion is universal (affecting 100% of databases) and dominant (explaining over 83% of the model's variance, versus 17% for the standard model).The conclusion is that a significant portion of past research using this model may be invalid, as their results are very likely statistical artifacts rather than the expression of a real economic behavior. This evidence explains why the literature has been filled with anomalous and contradictory results for decades.
DOI: 10.15468/dl.m22jm5
title: Occurrence Download

description: A dataset containing 853808 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acanthocyclops americanus, Acartia tonsa, Amphibalanus amphitrite, Amphibalanus eburneus, Amphibalanus improvisus, Apionsoma misakianum, Aporrectodea trapezoides, Arcuatula senhousia, Armadillidium nasatum, Ascidiella aspersa, Asparagopsis armata, Asparagopsis taxiformis, Aurelia solida, Austrominius modestus, Balanus trigonus, Boccardia proboscidea, Bonnemaisonia hamifera, Botrylloides violaceus, Bugula neritina, Caprella mutica, Caprella scaura, Celleporaria brunnea, Cephalothrix simula, Cercopagis pengoi, Corambe obscura, Cordylophora caspia, Corella eumyota, Crepidula fornicata, Cutleria multifida, Dasysiphonia japonica, Ensis directus, Eucheilota menoni, Euphysa tentaculata, Evadne anonyx, Fenestrulina delicia, Fibrocapsa japonica, Ficopomatus enigmaticus, Gammarus tigrinus, Gonionemus vertens, Haloa japonica, Halothrix lumbricalis, Haminella solitaria, Hemigrapsus takanoi, Herdmania momus, Hydroides elegans, Juxtacribrilina mutabilis, Leptosiphonia fibrillosa, Marenzelleria arctia, Marenzelleria neglecta, Marenzelleria viridis, Mawia benovici, Melanothamnus harveyi, Mnemiopsis leidyi, Monocorophium acherusicum, Monocorophium sextonae, Mytilicola orientalis, Neogobius melanostomus, Nitokra hibernica, Oithona davisae, Ostreopsis ovata, Palaemon elegans, Paracerceis sculpta, Paranthura japonica, Parathalestris harpactoides, Perophora japonica, Petricolaria pholadiformis, Pleurosira laevis, Polycerella emertoni, Polydora cornuta, Polydora websteri, Polysiphonia brodiei, Potamopyrgus antipodarum, Pseudocalanus acuspes, Pseudocalanus mimus, Pseudodiaptomus marinus, Rangia cuneata, Rhithropanopeus harrisii, Rhodochorton tenue, Schizoporella japonica, Sinelobus vanhaareni, Smittoidea prolifica, Streblospio benedicti, Stylochus ellipticus, Telmatogeton japonicus, Thalassiosira punctigera, Tharyx setigera, Torquigener flavimaculosus, Xenostrobus securis)"
 ]
}

 The dataset includes 853808 records from 2038 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006185-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2pxwh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemia elaphoglossoides Mickel"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229194-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4ab43
title: Occurrence Download

description: A dataset containing 22185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juncus maritimus Lam."
 ]
}

 The dataset includes 22185 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214178-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ojkbwv
title: Occurrence Download

description: A dataset containing 18151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Year 2008-2018",
 "StateProvince is virginia",
 {
 "or" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Anas rubripes Brewster, 1902",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18151 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012255-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsp6xk
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is naturgucker",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Observation.org, Nature data from around the World",
 "DatasetKey is GalliForm: Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800-2008"
 ]
 },
 "Geometry POLYGON((7.04681 53.50458,7.0482 53.50594,7.04828 53.50758,7.04837 53.5094,7.04837 53.5094,7.04591 53.51163,7.04033 53.51819,7.03741 53.52218,7.0365 53.52411,7.03609 53.52511,7.03514 53.52687,7.03354 53.53044,7.03312 53.53144,7.03316 53.53277,7.03417 53.53428,7.03668 53.53587,7.03751 53.53865,7.03966 53.53894,7.04051 53.53782,7.04093 53.53695,7.04148 53.53612,7.04401 53.53647,7.04645 53.53608,7.0489 53.535,7.05073 53.53342,7.05741 53.52788,7.06287 53.52254,7.06526 53.51815,7.06707 53.51537,7.06928 53.51399,7.07178 53.51338,7.07691 53.51334,7.08125 53.51348,7.08361 53.51344,7.08833 53.51295,7.09941 53.51095,7.10636 53.51079,7.11481 53.51218,7.12209 53.51509,7.12587 53.51739,7.1291 53.51967,7.13171 53.52123,7.1348 53.52356,7.05065 53.56957,6.9655 53.52521,7.04681 53.50458))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 164 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325405-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qd3yh
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cuniculidae"
 ]
}

 The dataset includes 1245 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238841-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t6sbc
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxopterygium huasango Spruce ex Engl."
 ]
}

 The dataset includes 112 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194695-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pcliz
title: Occurrence Download

description: A dataset containing 3544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sabal yapa C.Wright ex Becc."
 ]
}

 The dataset includes 3544 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012256-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czxvub
title: Occurrence Download

description: A dataset containing 2276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Nasua narica (Linnaeus, 1766)",
 "Year 2011-2021"
 ]
}

 The dataset includes 2276 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009229-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhqkqx
title: Occurrence Download

description: A dataset containing 5542928 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 5542928 records from 2962 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229182-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aakp63
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peucedanum officinale, Peucedanum officinale, Peucedanum officinale, Peucedanum officinale, Peucedanum officinale, Peucedanum officinale)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 751 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008663-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pzj4z
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes macrotis Merriam, 1888"
 ]
}

 The dataset includes 339 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005361-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1198349.10fu
title: SH1198349.10FU

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/sh1198350.10fu
title: SH1198350.10FU

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/sh1198351.10fu
title: SH1198351.10FU

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/sh1198352.10fu
title: SH1198352.10FU

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/sh1198354.10fu
title: SH1198354.10FU

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/sh1198357.10fu
title: SH1198357.10FU

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.