cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q3kynx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corsia boridiensis P.Royen"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146019-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya6mey
title: Occurrence Download

description: A dataset containing 10216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Passifloraceae"
 ]
}

 The dataset includes 10216 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003763-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah9tqa
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "Year 1960-2019",
 "TaxonKey is Xylocarpus granatum J.Koenig"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006060-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snhz48
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corsia acuminata L.O.Williams"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146010-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukiwzc
title: Occurrence Download

description: A dataset containing 230180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta Linnaeus, 1758",
 "HasCoordinate is true"
 ]
}

 The dataset includes 230180 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003763-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjkjkn
title: Occurrence Download

description: A dataset containing 961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyla arenicolor Cope, 1866",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2021",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 961 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006502-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh3d8c
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemotaulius brevilinea (McLachlan, 1871)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209852-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erp7cv
title: Occurrence Download

description: A dataset containing 553173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platycercus elegans (Gmelin, 1788)"
 ]
}

 The dataset includes 553173 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023417-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsfcwb
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nidularium innocentii Lem."
 ]
}

 The dataset includes 158 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003764-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5hvw4
title: Occurrence Download

description: A dataset containing 2068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Hyptis capitata Jacq.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2068 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023963-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghzzfr
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippopus porcellanus Rosewater, 1982"
 ]
}

 The dataset includes 30 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003764-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdvuyp
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-118.76857 27.60114,-102.86235 15.60749,-90.96971 14.11838,-89.9314 16.81618,-86.56235 16.59731,-85.58294 23.04279,-92.92854 26.0491,-98.31531 27.68717,-99.04987 30.04563,-103.45724 30.15155,-106.27305 32.24577,-111.5374 32.03845,-117.62423 33.4427,-118.76857 27.60114))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aquarius Schellenberg, 1800"
 ]
}

 The dataset includes 382 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040313-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6ds6c
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Decapoda"
 ]
}

 The dataset includes 539 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023416-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swfq4s
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is GenLink - Genetic diversity of Cerastium holosteoides"
 ]
}

 The dataset includes 107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003764-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3457xb
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Reptiles asociados al área boscosa del resguardo indígena Cuti, municipio de Unguía, Chocó. 2020"
 ]
}

 The dataset includes 68 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040330-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkybbv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données naturalistes (Rhopalocères et Zygènes) de François FOURNIER (indépendant)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006062-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jcf1um
title: Occurrence Download

description: A dataset containing 3066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 3066 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003764-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krqe73
title: Occurrence Download

description: A dataset containing 238777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of South Florida Herbarium (USF)"
 ]
}

 The dataset includes 238777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040327-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w81kyf
title: Occurrence Download

description: A dataset containing 680916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((96.81152 6.66461,102.26074 6.66461,102.26074 17.22476,96.81152 17.22476,96.81152 6.66461))",
 "HasCoordinate is true",
 "TaxonKey is Aves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 680916 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006055-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.01tvdx
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochagavia elegans Phil."
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003765-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byru2n
title: Occurrence Download

description: A dataset containing 6580772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pinopsida"
 ]
}

 The dataset includes 6580772 records from 3243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032482-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6b93c
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Locality is Segovia Antioquia vía a Remedios",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029340-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4s24q
title: Occurrence Download

description: A dataset containing 2361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Issue is one of (Continent derived from coordinates, Continent invalid, Coordinate reprojected, Coordinate rounded, Depth min max swapped, Country derived from coordinates, Depth non numeric, Depth not metric, Depth unlikely, Elevation min max swapped, Elevation non numeric, Elevation not metric, Elevation unlikely, Identified date invalid, Identified date unlikely, Modified date invalid, Modified date unlikely, Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Occurrence status inferred from individual count, Georeferenced date unlikely, Georeferenced date invalid, ccurrence status inferred from basis of record)",
 "TaxonKey is Loudetia simplex (Nees) C.E.Hubb.",
 "Continent is Africa"
 ]
}

 The dataset includes 2361 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029339-240906103802322/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.25541607
title: Advancements and challenges in protein purification techniques for denitrifying enzymes: A path to effective nitrogen removal and reduced N<sub>2</sub>O emissions

description: The biological denitrification process is crucial for removing nitrogen and reducing nitrous oxide (N<sub>2</sub>O) emissions. To investigate the mechanism of action of key enzymes in the denitrification process, it is necessary to analyze the protein structure, active site, and conformational changes of denitrifying enzymes. X-ray crystallography, nuclear magnetic resonance (NMR), and cryogenic electron microscopy (Cryo-EM), as well as spectroscopic analyses such as Raman resonance and UV-vis, have been used to study the structure of denitrifying enzymes. However, practical application is limited by protein folding and assembly, as well as issues of purity, concentration, and homogeneity. This review summarizes the biochemical properties of the four denitrifying enzymes and typical purification methods. Additionally, this review emphasizes important factors to consider during protein expression, crude extract, and chromatographic purification. It also provides insight into the future development of protein purification methods for denitrifying enzymes. This review aims to bridge the gap between the complex biochemical process of denitrifying enzymes and the technical intricacies of protein purification, with the ultimate goal of reducing N<sub>2</sub>O emissions in ecosystems.
DOI: 10.6084/m9.figshare.25541607.v2
title: Advancements and challenges in protein purification techniques for denitrifying enzymes: A path to effective nitrogen removal and reduced N<sub>2</sub>O emissions

description: The biological denitrification process is crucial for removing nitrogen and reducing nitrous oxide (N<sub>2</sub>O) emissions. To investigate the mechanism of action of key enzymes in the denitrification process, it is necessary to analyze the protein structure, active site, and conformational changes of denitrifying enzymes. X-ray crystallography, nuclear magnetic resonance (NMR), and cryogenic electron microscopy (Cryo-EM), as well as spectroscopic analyses such as Raman resonance and UV-vis, have been used to study the structure of denitrifying enzymes. However, practical application is limited by protein folding and assembly, as well as issues of purity, concentration, and homogeneity. This review summarizes the biochemical properties of the four denitrifying enzymes and typical purification methods. Additionally, this review emphasizes important factors to consider during protein expression, crude extract, and chromatographic purification. It also provides insight into the future development of protein purification methods for denitrifying enzymes. This review aims to bridge the gap between the complex biochemical process of denitrifying enzymes and the technical intricacies of protein purification, with the ultimate goal of reducing N<sub>2</sub>O emissions in ecosystems.
DOI: 10.6084/m9.figshare.26521195
title: Degrees of Freedom: Search Cost and Self-Consistency

description: Model degrees of freedom (df) is a fundamental concept in statistics because it quantifies the flexibility of a fitting procedure and is indispensable in model selection. To investigate the gap between df and the number of independent variables in the fitting procedure, Tibshirani introduced the <i>search degrees of freedom</i> (sdf) concept to account for the search cost during model selection. However, this definition has two limitations: it does not consider fitting procedures in augmented spaces and does not use the same fitting procedure for sdf and df. We propose a <i>modified search degrees of freedom</i> (msdf) to directly account for the cost of searching in either original or augmented spaces. We check this definition for various fitting procedures, including classical linear regressions, spline methods, adaptive regressions (the best subset and the lasso), regression trees, and multivariate adaptive regression splines (MARS). In many scenarios when sdf is applicable, msdf reduces to sdf. However, for certain procedures like the lasso, msdf offers a fresh perspective on search costs. For some complex procedures like MARS, the df has been pre-determined during model fitting, but the df of the final fitted procedure might differ from the pre-determined one. To investigate this discrepancy, we introduce the concepts of <i>nominal</i> df and <i>actual</i> df, and define the property of <i>self-consistency</i>, which occurs when there is no gap between these two df’s. We propose a correction procedure for MARS to align these two df’s, demonstrating improved fitting performance through extensive simulations and two real data applications. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.26521195.v2
title: Degrees of Freedom: Search Cost and Self-Consistency

description: Model degrees of freedom (df) is a fundamental concept in statistics because it quantifies the flexibility of a fitting procedure and is indispensable in model selection. To investigate the gap between df and the number of independent variables in the fitting procedure, Tibshirani introduced the <i>search degrees of freedom</i> (sdf) concept to account for the search cost during model selection. However, this definition has two limitations: it does not consider fitting procedures in augmented spaces and does not use the same fitting procedure for sdf and df. We propose a <i>modified search degrees of freedom</i> (msdf) to directly account for the cost of searching in either original or augmented spaces. We check this definition for various fitting procedures, including classical linear regressions, spline methods, adaptive regressions (the best subset and the lasso), regression trees, and multivariate adaptive regression splines (MARS). In many scenarios when sdf is applicable, msdf reduces to sdf. However, for certain procedures like the lasso, msdf offers a fresh perspective on search costs. For some complex procedures like MARS, the df has been pre-determined during model fitting, but the df of the final fitted procedure might differ from the pre-determined one. To investigate this discrepancy, we introduce the concepts of <i>nominal</i> df and <i>actual</i> df, and define the property of <i>self-consistency</i>, which occurs when there is no gap between these two df’s. We propose a correction procedure for MARS to align these two df’s, demonstrating improved fitting performance through extensive simulations and two real data applications. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.26521195.v1
title: Degrees of Freedom: Search Cost and Self-consistency

description: Model degrees of freedom ( df) is a fundamental concept in statistics because it quantifies the flexibility of a fitting procedure and is indispensable in model selection. To investigate the gap between df and the number of independent variables in the fitting procedure, Tibshirani (2015) introduced the <i>search degrees of freedom</i> ( sdf) concept to account for the search cost during model selection. However, this definition has two limitations: it does not consider fitting procedures in augmented spaces and does not use the same fitting procedure for sdf and df. We propose a <i>modified search degrees of freedom</i> ( msdf) to directly account for the cost of searching in either original or augmented spaces. We check this definition for various fitting procedures, including classical linear regressions, spline methods, adaptive regressions (the best subset and the lasso), regression trees, and multivariate adaptive regression splines (MARS). In many scenarios when sdf is applicable, msdf reduces to sdf. However, for certain procedures like the lasso, msdf offers a fresh perspective on search costs. For some complex procedures like MARS, the df has been pre-determined during model fitting, but the df of the final fitted procedure might differ from the pre-determined one. To investigate this discrepancy, we introduce the concepts of <i>nominal</i> df and <i>actual</i> df, and define the property of <i>self-consistency</i>, which occurs when there is no gap between these two df’s. We propose a correction procedure for MARS to align these two df’s, demonstrating improved fitting performance through extensive simulations and two real data applications.
DOI: 10.15468/dl.zxe95f
title: Occurrence Download

description: A dataset containing 1568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Issue is one of (Continent derived from coordinates, Continent invalid, Coordinate reprojected, Coordinate rounded, Depth min max swapped, Country derived from coordinates, Depth non numeric, Depth not metric, Depth unlikely, Elevation min max swapped, Elevation non numeric, Elevation not metric, Elevation unlikely, Identified date invalid, Identified date unlikely, Modified date invalid, Modified date unlikely, Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Occurrence status inferred from individual count, Georeferenced date unlikely, Georeferenced date invalid, ccurrence status inferred from basis of record)",
 "TaxonKey is Monocymbium ceresiiforme (Nees) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 1568 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029342-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfa3zv
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Qualea lineata Stafleu"
 ]
}

 The dataset includes 169 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029345-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.