cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3zckea
title: Occurrence Download

description: A dataset containing 562 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes occidentalis Hend."
 ]
}

 The dataset includes 562 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026207-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqtam6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago algarbiensis Samp.",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026208-241024112534372/datasets/export for details.
DOI: 10.5281/zenodo.14038142
title: PHACE: Phylogeny-Aware Co-Evolution

description: The co-evolution trends of amino acids within or between genes offer valuable insights into protein structure and function. Existing tools for uncovering co-evolutionary signals primarily rely on multiple sequence alignments (MSAs), often neglecting considerations of phylogenetic relatedness and shared evolutionary history. Here, we present a novel approach based on the substitution mapping of amino acid changes onto the phylogenetic tree. We categorize amino acids into two groups: 'tolerable' and 'intolerable,' and assign them to each position based on the position dynamics concerning the observed amino acids. Amino acids deemed 'tolerable' are those observed phylogenetically independently and multiple times at a specific position, signifying the position's tolerance to that alteration. Gaps are regarded as a third character type, and we only consider phylogenetically independent altered gap characters. Our algorithm is based on a tree traversal process through the nodes and computes the total amount of substitution per branch based on the probability differences of two groups of amino acids and gaps between neighboring nodes. We employ an MSA-masking approach to mitigate misleading artifacts from poorly aligned regions. When compared to tools utilizing phylogeny (e.g., CAPS and CoMap) and state-of-the-art MSA-based approaches (DCA, GaussDCA, PSICOV, and MIp), our method exhibits significantly superior accuracy in identifying co-evolving position pairs, as measured by statistical metrics including MCC, AUC, and F1 score. PHACE's success arises from its ability to consider the frequently neglected phylogenetic dependency.
DOI: 10.5281/zenodo.14038143
title: PHACE: Phylogeny-Aware Co-Evolution

description: The co-evolution trends of amino acids within or between genes offer valuable insights into protein structure and function. Existing tools for uncovering co-evolutionary signals primarily rely on multiple sequence alignments (MSAs), often neglecting considerations of phylogenetic relatedness and shared evolutionary history. Here, we present a novel approach based on the substitution mapping of amino acid changes onto the phylogenetic tree. We categorize amino acids into two groups: 'tolerable' and 'intolerable,' and assign them to each position based on the position dynamics concerning the observed amino acids. Amino acids deemed 'tolerable' are those observed phylogenetically independently and multiple times at a specific position, signifying the position's tolerance to that alteration. Gaps are regarded as a third character type, and we only consider phylogenetically independent altered gap characters. Our algorithm is based on a tree traversal process through the nodes and computes the total amount of substitution per branch based on the probability differences of two groups of amino acids and gaps between neighboring nodes. We employ an MSA-masking approach to mitigate misleading artifacts from poorly aligned regions. When compared to tools utilizing phylogeny (e.g., CAPS and CoMap) and state-of-the-art MSA-based approaches (DCA, GaussDCA, PSICOV, and MIp), our method exhibits significantly superior accuracy in identifying co-evolving position pairs, as measured by statistical metrics including MCC, AUC, and F1 score. PHACE's success arises from its ability to consider the frequently neglected phylogenetic dependency.
DOI: 10.5281/zenodo.14043199
title: PHACE: Phylogeny-Aware Co-Evolution

description: The co-evolution trends of amino acids within or between genes offer valuable insights into protein structure and function. Existing tools for uncovering co-evolutionary signals primarily rely on multiple sequence alignments (MSAs), often neglecting considerations of phylogenetic relatedness and shared evolutionary history. Here, we present a novel approach based on the substitution mapping of amino acid changes onto the phylogenetic tree. We categorize amino acids into two groups: 'tolerable' and 'intolerable,' and assign them to each position based on the position dynamics concerning the observed amino acids. Amino acids deemed 'tolerable' are those observed phylogenetically independently and multiple times at a specific position, signifying the position's tolerance to that alteration. Gaps are regarded as a third character type, and we only consider phylogenetically independent altered gap characters. Our algorithm is based on a tree traversal process through the nodes and computes the total amount of substitution per branch based on the probability differences of two groups of amino acids and gaps between neighboring nodes. We employ an MSA-masking approach to mitigate misleading artifacts from poorly aligned regions. When compared to tools utilizing phylogeny (e.g., CAPS and CoMap) and state-of-the-art MSA-based approaches (DCA, GaussDCA, PSICOV, and MIp), our method exhibits significantly superior accuracy in identifying co-evolving position pairs, as measured by statistical metrics including MCC, AUC, and F1 score. PHACE's success arises from its ability to consider the frequently neglected phylogenetic dependency.
DOI: 10.15468/dl.wy85gw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leontodon microcephalus (Boiss. ex DC.) Boiss.",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026209-241024112534372/datasets/export for details.
DOI: 10.15468/dl.paue3k
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes prototypus D.M.Britton & Goltz"
 ]
}

 The dataset includes 74 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026210-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrrm8k
title: Occurrence Download

description: A dataset containing 819533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-09-10",
 "EventDate is less than or equal to 2024-10-10",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 819533 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026169-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b52vmf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus myriacanthus Salzm. ex DC.",
 "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 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026211-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d474ej
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes riparia Engelm."
 ]
}

 The dataset includes 1205 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026212-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hyss8
title: Occurrence Download

description: A dataset containing 11051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnica montana L.",
 "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 11051 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026215-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsgsyu
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes tegetiformans Rury"
 ]
}

 The dataset includes 75 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026216-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8sdk7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia granatensis Boiss.",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026217-241024112534372/datasets/export for details.
DOI: 10.15468/dl.q9vf2h
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes tennesseensis Luebke & Budke"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026218-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9u4fya
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea citricolor Font Quer",
 "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 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026219-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px6x55
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paspalum thunbergii Kunth ex Steud."
 ]
}

 The dataset includes 547 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249526-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3eqtd
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus jacobinus Moric."
 ]
}

 The dataset includes 534 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208199-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgxe66
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepanthes limbata Luer & R.Escobar"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006784-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stt4ra
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus grisebachii Peter"
 ]
}

 The dataset includes 117 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208166-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hk68vr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydnophytum ellipticum Merr. & L.M.Perry"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249524-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxxn9a
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus minimus Ooststr."
 ]
}

 The dataset includes 10 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208270-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2tsyv
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus gypsophiloides Moric."
 ]
}

 The dataset includes 225 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208171-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbzjvm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is FNJV - Fonoteca Neotropical Jacques Vielliard"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249544-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2zdpv
title: Occurrence Download

description: A dataset containing 1133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Touit surdus (Kuhl, 1820)"
 ]
}

 The dataset includes 1133 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208176-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yctvgp
title: Occurrence Download

description: A dataset containing 1741223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pieris rapae (Linnaeus, 1758)"
 ]
}

 The dataset includes 1741223 records from 2776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046976-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.09430
title: Chandra X-ray Observatory ObsId 09430

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.obs.22304
title: Chandra X-ray Observatory ObsId 22304

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.obs.05426
title: Chandra X-ray Observatory ObsId 05426

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.obs.07891
title: Chandra X-ray Observatory ObsId 07891

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.obs.15564
title: Chandra X-ray Observatory ObsId 15564

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.obs.08211
title: Chandra X-ray Observatory ObsId 08211

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.obs.12492
title: Chandra X-ray Observatory ObsId 12492

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.obs.10532
title: Chandra X-ray Observatory ObsId 10532

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.obs.23255
title: Chandra X-ray Observatory ObsId 23255

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.obs.04982
title: Chandra X-ray Observatory ObsId 04982

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.obs.18174
title: Chandra X-ray Observatory ObsId 18174

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.obs.18824
title: Chandra X-ray Observatory ObsId 18824

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.obs.08940
title: Chandra X-ray Observatory ObsId 08940

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.obs.17320
title: Chandra X-ray Observatory ObsId 17320

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.obs.08467
title: Chandra X-ray Observatory ObsId 08467

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.obs.23020
title: Chandra X-ray Observatory ObsId 23020

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.obs.06154
title: Chandra X-ray Observatory ObsId 06154

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.obs.07419
title: Chandra X-ray Observatory ObsId 07419

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.obs.19984
title: Chandra X-ray Observatory ObsId 19984

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.obs.07900
title: Chandra X-ray Observatory ObsId 07900

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".