cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/2efz5-7c465
title: JV9082_Janelia42k

description: DotF-sfGFP fusion
description: <strong>Tilt Series Date:</strong> 2018-08-29</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal. Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for the JV9082 strain (2x concentrated culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-215/rawdata/</p>JV9082_201808290215.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-215/rawdata/JV9082_201808290215.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9082_201808290215_part37_6.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-29-215/3dimage_96825/JV9082_201808290215_part37_6.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.cnsc87
title: Occurrence Download

description: A dataset containing 68772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Canis latrans Say, 1823)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 68772 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021370-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruk52f
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabas testudineus",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 116 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005373-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4d5bs
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 2.0599,19.1382 2.0599,19.1382 -6.9401,28.1382 -6.9401,28.1382 2.0599))"
 ]
}

 The dataset includes 195 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005377-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrgrnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer nigrum",
 "TaxonKey is Acer saccharum"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 16.27569330337413",
 "DecimalLatitude is less than or equal to 16.276001328973578",
 "DecimalLongitude is greater than or equal to -142.42872795023536",
 "DecimalLongitude is less than or equal to -142.42862910191207",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005375-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16989844
title: PlanckData
DOI: 10.15468/dl.aex858
title: Occurrence Download

description: A dataset containing 80712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Liquidambar styraciflua"
 ]
}

 The dataset includes 80712 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005330-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzqur2
title: Occurrence Download

description: A dataset containing 246779 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanita muscaria"
 ]
}

 The dataset includes 246779 records from 526 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005268-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu2nc6
title: Occurrence Download

description: A dataset containing 14829 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.17.2_2)"
 ]
}

 The dataset includes 14829 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005378-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25444/nhlbi.30005731
title: Data associated with "Inline automatic quality control of 2D phase-contrast flow MRI for subject-specific scan time adaptation", Magnetic Resonance in Medicine, 2024

description: <b>Purpose:</b><b> </b>To develop an inline automatic quality control to achieve consistent diagnostic image quality with subject-specific scan time, and to demonstrate this method for 2D phase-contrast flow MRI to reach a predetermined SNR.<b>Methods:</b><b> </b>We designed a closed-loop feedback framework between image reconstruction and data acquisition to intermittently check SNR (every 20 s) and automatically stop the acquisition when a target SNR is achieved. A free-breathing 2D pseudo-golden-angle spiral phase-contrast sequence was modified to listen for image-quality messages from the reconstructions. Ten healthy volunteers and 1 patient were imaged at 0.55 T. Target SNR was selected based on retrospective analysis of cardiac output error, and performance of the automatic SNR-driven "stop" was assessed inline.<b>Results:</b><b> </b>SNR calculation and automated segmentation was feasible within 20 s with inline deployment. The SNR-driven acquisition time was 2 min 39 s ± 67 s (aorta) and 3 min ± 80 s (main pulmonary artery) with a min/max acquisition time of 1 min 43 s/4 min 52 s (aorta) and 1 min 43 s/5 min 50 s (main pulmonary artery) across 6 healthy volunteers, while ensuring a diagnostic measurement with relative absolute error in quantitative flow measurement lower than 2.1% (aorta) and 6.3% (main pulmonary artery).<b>Conclusion:</b><b> </b>The inline quality control enables subject-specific optimized scan times while ensuring consistent diagnostic image quality. The distribution of automated stopping times across the population revealed the value of a subject-specific scan time.
DOI: 10.25444/nhlbi.30005731.v1
title: Data associated with "Inline automatic quality control of 2D phase-contrast flow MRI for subject-specific scan time adaptation", Magnetic Resonance in Medicine, 2024

description: <b>Purpose:</b><b> </b>To develop an inline automatic quality control to achieve consistent diagnostic image quality with subject-specific scan time, and to demonstrate this method for 2D phase-contrast flow MRI to reach a predetermined SNR.<b>Methods:</b><b> </b>We designed a closed-loop feedback framework between image reconstruction and data acquisition to intermittently check SNR (every 20 s) and automatically stop the acquisition when a target SNR is achieved. A free-breathing 2D pseudo-golden-angle spiral phase-contrast sequence was modified to listen for image-quality messages from the reconstructions. Ten healthy volunteers and 1 patient were imaged at 0.55 T. Target SNR was selected based on retrospective analysis of cardiac output error, and performance of the automatic SNR-driven "stop" was assessed inline.<b>Results:</b><b> </b>SNR calculation and automated segmentation was feasible within 20 s with inline deployment. The SNR-driven acquisition time was 2 min 39 s ± 67 s (aorta) and 3 min ± 80 s (main pulmonary artery) with a min/max acquisition time of 1 min 43 s/4 min 52 s (aorta) and 1 min 43 s/5 min 50 s (main pulmonary artery) across 6 healthy volunteers, while ensuring a diagnostic measurement with relative absolute error in quantitative flow measurement lower than 2.1% (aorta) and 6.3% (main pulmonary artery).<b>Conclusion:</b><b> </b>The inline quality control enables subject-specific optimized scan times while ensuring consistent diagnostic image quality. The distribution of automated stopping times across the population revealed the value of a subject-specific scan time.
DOI: 10.15468/dl.r75apj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabas testudineus",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005379-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cazt8
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabas testudineus",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005380-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99yw24
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphanius fasciatus, Aphanius stiassnyae, Aphyosemion abacinum, Aphyosemion ahli, Aphyosemion alpha, Aphyosemion amoenum, Aphyosemion aureum, Aphyosemion australe, Aphyosemion bamilekorum, Aphyosemion batesii, Aphyosemion bitaeniatum, Aphyosemion bivittatum, Aphyosemion bualanum, Aphyosemion buytaerti, Aphyosemion calliurum, Aphyosemion cameronense, Aphyosemion castaneum, Aphyosemion caudofasciatum, Aphyosemion celiae, Aphyosemion chauchei, Aphyosemion christyi, Aphyosemion citrineipinnis, Aphyosemion coeleste, Aphyosemion cognatum, Aphyosemion congicum, Aphyosemion cyanostictum, Aphyosemion dargei, Aphyosemion decorsei, Aphyosemion edeanum, Aphyosemion elberti, Aphyosemion elegans, Aphyosemion escherichi, Aphyosemion etsamense, Aphyosemion exigoideum, Aphyosemion exiguum, Aphyosemion ferranti, Aphyosemion franzwerneri, Aphyosemion fulgens, Aphyosemion georgiae, Aphyosemion hanneloreae, Aphyosemion heinemanni, Aphyosemion hera, Aphyosemion herzogi, Aphyosemion hofmanni, Aphyosemion joergenscheeli, Aphyosemion kouamense, Aphyosemion labarrei, Aphyosemion lamberti, Aphyosemion lefiniense, Aphyosemion loennbergii, Aphyosemion louessense, Aphyosemion lugens, Aphyosemion lujae, Aphyosemion maculatum, Aphyosemion mikeae, Aphyosemion wachtersi, Aphyosemion mimbon, Aphyosemion ocellatum, Aphyosemion passaroi, Aphyosemion poliaki, Aphyosemion polli, Aphyosemion primigenium, Aphyosemion punctatum, Aphyosemion raddai, Aphyosemion rectogoense, Aphyosemion riggenbachi, Aphyosemion schioetzi, Aphyosemion schluppi, Aphyosemion schoutedeni, Aphyosemion seegersi, Aphyosemion splendopleure, Aphyosemion striatum, Aphyosemion thysi, Aphyosemion tirbaki, Aphyosemion trilineatus, Aphyosemion volcanum, Aphyosemion wildekampi, Aphyosemion wuendschi, Aphyosemion zygaima, Aplocheilichthys antinorii, Micropanchax antinorii, Aplocheilichthys atripinna, Lacustricola atripinna, Aplocheilichthys brichardi, Poropanchax brichardi, Aplocheilichthys bukobanus, Lacustricola bukobanus, Aplocheilichthys centralis, Lacustricola centralis, Aplocheilichthys fuelleborni, Micropanchax fuelleborni, Aplocheilichthys jeanneli, Lacustricola jeanneli, Aplocheilichthys kongoranensis, Lacustricola kongoranensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 11.0599,19.1382 11.0599,19.1382 2.0599,28.1382 2.0599,28.1382 11.0599))"
 ]
}

 The dataset includes 105 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005381-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb322s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anabas testudineus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005382-250827131500795/datasets/export for details.
DOI: 10.3886/icpsr36745.v1
title: Flint Community Schools GIS Data, 2016 [Flint, Michigan]
title: Version 1

description: This data collection contains GIS materials for the Flint Community Schools that were open as of Fall 2016. The GIS materials were created by the University of Michigan-Flint GIS Center using publicly available information from the Flint Community Schools website. Point data is available for ten schools.
description: Attributes include school name, school address, and the grades served by school.
description: Not applicable
description: Datasets: 
DS1: Flint Community Schools GIS Data, 2016 [Flint, Michigan]
description: Flint Community Schools that were open and included on the Flint Community Schools website in Fall 2016. Smallest Geographic Unit: street address
description: record abstractsThe original shapefiles used the 1983 North American geographic coordinate system with a Lambert Conformal conic projection.
DOI: 10.3886/icpsr36745
title: Flint Community Schools GIS Data, 2016 [Flint, Michigan]
title: Archival Version

description: This data collection contains GIS materials for the Flint Community Schools that were open as of Fall 2016. The GIS materials were created by the University of Michigan-Flint GIS Center using publicly available information from the Flint Community Schools website. Point data is available for ten schools.
description: Attributes include school name, school address, and the grades served by school.
description: Not applicable
description: Datasets: 
DS1: Flint Community Schools GIS Data, 2016 [Flint, Michigan]
description: Flint Community Schools that were open and included on the Flint Community Schools website in Fall 2016. Smallest Geographic Unit: street address
description: record abstractsThe original shapefiles used the 1983 North American geographic coordinate system with a Lambert Conformal conic projection.
DOI: 10.15468/dl.rbbfgx
title: Occurrence Download

description: A dataset containing 41811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Digitalis grandiflora"
 ]
}

 The dataset includes 41811 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005383-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16970195
title: W2NAF FN21ei 20250811-16 Meteor Scatter QSO Party

description: Callsign Used (or PSKReporter Identifier): W2NAF




Operator Names and Calls: Nathaniel Frissell W2NAF




Contact Email Address: nathaniel.frissell@scranton.edu




Six Character Grid Square: FN21ei




How do you operate the MSQP? (Transmit & Receive OR Receive Only): Transmit * Receive




Transceiver, Transmitter, Receiver - Make(s) & Model(s): Icom IC-7610




Transmitter Output Power (enter 'NA' for Receive Only stations): 100 W




Antenna(s) used, please describe: Buckmaster 80 m OCF Dipole




Bands Operated: 10 m & 6 m




Additional Comments:
DOI: 10.5281/zenodo.16970194
title: W2NAF FN21ei 20250811-16 Meteor Scatter QSO Party

description: Callsign Used (or PSKReporter Identifier): W2NAF




Operator Names and Calls: Nathaniel Frissell W2NAF




Contact Email Address: nathaniel.frissell@scranton.edu




Six Character Grid Square: FN21ei




How do you operate the MSQP? (Transmit & Receive OR Receive Only): Transmit * Receive




Transceiver, Transmitter, Receiver - Make(s) & Model(s): Icom IC-7610




Transmitter Output Power (enter 'NA' for Receive Only stations): 100 W




Antenna(s) used, please describe: Buckmaster 80 m OCF Dipole




Bands Operated: 10 m & 6 m




Additional Comments:
DOI: 10.15468/dl.uycj69
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 698acf43-05cd-4b45-8107-7c666d87f77c, 04ce62dd-30ec-4d98-8b30-b09cafc3ac38)",
 "TaxonKey is Cavanillesia chicamochae"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005385-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15443526
title: Supplementary information to Gaps in the conservation of phylogenetic diversity in the Chilean vascular flora

description: "Rscript.R" is the R code that, together with the other files, was used to generate the results, including all figures and table S2. 

"Appendix.csv" contains all data on Chilean vascular plant species as well as their presence in both in-situ and ex-situ conservation units necessary for all downstream analyses.

"fields_TableS2_paper_inex_situ.txt" and "plant_genus_list_modified.csv" are auxiliary files read by Rscript.R needed to build table S2.

"plant_megatree.tre" and "plant_genus_list_modified.csv" are the backbone phylogenetic tree and the taxonomic assignments of genera to families, respectively, obtained from https://github.com/jinyizju/U.PhyloMaker. They are read in the Rscript.R and are used to build the phylogenetic trees with U.Phylomaker employed in the analyses. Note that plant_genus_list_modified.csv was modified in some assignments with respect to the original file in order to fit some genera with family assignments different from the backbone taxonomy employed in our work.
DOI: 10.5281/zenodo.15443527
title: Supplementary information to Gaps in the conservation of phylogenetic diversity in the Chilean vascular flora

description: "Rscript.R" is the R code that, together with the other files, was used to generate the results, including all figures and table S2. 

"Appendix.csv" contains all data on Chilean vascular plant species as well as their presence in both in-situ and ex-situ conservation units necessary for all downstream analyses.

"fields_TableS2_paper_inex_situ.txt" and "plant_genus_list_modified.csv" are auxiliary files read by Rscript.R needed to build table S2.

"plant_megatree.tre" and "plant_genus_list_modified.csv" are the backbone phylogenetic tree and the taxonomic assignments of genera to families, respectively, obtained from https://github.com/jinyizju/U.PhyloMaker. They are read in the Rscript.R and are used to build the phylogenetic trees with U.Phylomaker employed in the analyses. Note that plant_genus_list_modified.csv was modified in some assignments with respect to the original file in order to fit some genera with family assignments different from the backbone taxonomy employed in our work.