cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u3w58z
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-75.45904 4.37984,-75.42825 4.37984,-75.42825 4.40808,-75.45904 4.40808,-75.45904 4.37984))",
 "HasGeospatialIssue is false",
 "TaxonKey is Psittacidae"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021121-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2u78x
title: Occurrence Download

description: A dataset containing 24616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Sceloporus grammicus Wiegmann, 1828"
 ]
}

 The dataset includes 24616 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021122-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f63a42
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ciconia boyciana Swinhoe, 1873",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 633 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021125-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgmhc4
title: Occurrence Download

description: A dataset containing 65595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Acer rubrum L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 65595 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021123-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2apef
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sachatamia orejuela (Duellman & Burrowes, 1989)"
 ]
}

 The dataset includes 58 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021126-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whrcw8
title: Occurrence Download

description: A dataset containing 18139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum rostratum Dunal"
 ]
}

 The dataset includes 18139 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021127-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezm7j3
title: Occurrence Download

description: A dataset containing 54682665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year 2010-2024"
 ]
}

 The dataset includes 54682665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021114-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18141/2467443
title: Geologic Characterization of the South Georgia Rift Basin for Source Proximal CO2 Storage

description: The project Geologic Characterization of the South Georgia Rift Basin for Source Proximal CO2 Storage is one of 9 site characterization projects that were implemented as part of ARRA (American Recovery and Reinvestment Act). Data from this project was used to improve resolution of data in NATCARB in the area of study. Data related to this study has already been incorporated in NATCARB Atlas. The South Carolina Research Foundation and partners evaluated the feasibility of CCS in the Jurassic/ Triassic (J / TR) saline formations of the buried Mesozoic South Georgia Rift (SGR) Basin that extends from South Carolina into Georgia. The J / TR sequence, based on preliminary assessment of limited geologic and geophysical data, appears to have both the appropriate areal extent and multiple horizons to permanently and safely store CO2 The presence of several igneous rock layers within the sequence may potentially provide adequate seals to prevent upward CO2 migration into the Coastal Plain aquifer systems. Approximately 81 kilometers of 2-D seismic reflection data were collected by Bay Geophysical, Inc. to explore a portion of the SGR located in southern Georgia. The 81 kilometers were divided into two lines approximately 40.5 kilometers each, with Line 1 intersecting Georgia well GGS 3457. Line 2 intersects Line 1 at the southern portion of Line 1 to maximize the extent of coverage away from GGS-3457 (a deep well drilled in the 1980s for oil and gas exploration). This well had a set of usable logs, including gamma and neutron logs that provided promising results related to CO2 storage. Results showed sandstone with porosity values greater than 10 percent and a thickness of 120 meters. The design of the seismic shot was to extrapolate information away from the well and to better define the extent of the SGR and the necessary reservoir and caprock for a successful CO2 injection. A numerical simulation model of CO2 Injection and migration was developed based on the geology log for the GGS-3457 well. The simulation model was used to investigate the feasibility of injecting 30 million metric tons of CO2 into SGR J / TA sediments and integrity of the diabase layers as seals to prevent CO2 migration.
DOI: 10.15468/dl.g8vqd5
title: Occurrence Download

description: A dataset containing 19389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia psilostachya DC."
 ]
}

 The dataset includes 19389 records from 428 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021130-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-10.2917381/2467818
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2917922/2467832
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-10.2918044/2467863
title: Data for EMSL Project 51287 from October 2023
DOI: 10.25582/data.2023-09.2882664/2467898
title: Data for EMSL Project 60673 from September 2023
DOI: 10.25582/data.2023-10.2911340/2468046
title: Data for EMSL Project 60009 from October 2023
DOI: 10.25582/data.2023-10.2917454/2468115
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917523/2468181
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917572/2468225
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917600/2468252
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917725/2468371
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917726/2468372
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917727/2468373
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917728/2468374
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917729/2468375
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917730/2468376
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917731/2468377
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917845/2468486
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917847/2468488
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917848/2468489
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917849/2468490
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917851/2468492
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917852/2468493
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917854/2468495
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917855/2468496
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917856/2468497
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917857/2468498
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917858/2468499
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917859/2468500
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917860/2468501
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917861/2468502
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917862/2468503
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917863/2468504
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917864/2468505
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917865/2468506
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917866/2468507
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917867/2468508
title: Data for EMSL Project 51735 from October 2023
DOI: 10.25582/data.2023-10.2917870/2468511
title: Data for EMSL Project 51735 from October 2023
DOI: 10.15468/dl.jtwuf8
title: Occurrence Download

description: A dataset containing 1200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scarthyla vigilans (Solano, 1971)"
 ]
}

 The dataset includes 1200 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021132-241007104925546/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.27252612.v1
title: Supplementary File 1.docx

description: The effectiveness of psychological interventions for women with polycystic ovary syndrome: A systematic review and meta-analysis - Supplementary Data File 1
DOI: 10.5519/qd.jpinal3f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5927220 records)
DOI: 10.15468/dl.8dmrpp
title: Occurrence Download

description: A dataset containing 921295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((70 35,95 35,95 50,70 50,70 35))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 921295 records from 921 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021115-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk2p66
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistus heterophyllus Desf."
 ]
}

 The dataset includes 520 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062286-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gym8qh
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-65.97619 51.21179,-54.7462 51.21179,-54.7462 60.73992,-65.97619 60.73992,-65.97619 51.21179))",
 "HasGeospatialIssue is false",
 "TaxonKey is Corallorhiza trifida Châtel."
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062289-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsb3vm
title: Occurrence Download

description: A dataset containing 50999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 50999 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062287-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14621556
title: Mon premier dataset

description: Dépôt automatique via script Python
DOI: 10.5281/zenodo.14621557
title: Mon premier dataset

description: Dépôt automatique via script Python
DOI: 10.15468/dl.t9vadx
title: Occurrence Download

description: A dataset containing 2232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ciconia boyciana Swinhoe, 1873",
 "Year 2005-2025"
 ]
}

 The dataset includes 2232 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062290-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14621559
title: Mon premier dataset

description: Dépôt automatique via script Python
DOI: 10.5281/zenodo.14621560
title: Mon premier dataset

description: Dépôt automatique via script Python
DOI: 10.15468/dl.vzezh4
title: Occurrence Download

description: A dataset containing 1219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus watkinsiana F.M.Bailey",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1219 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062291-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.symyr2
title: Occurrence Download

description: A dataset listing the 96 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "HasCoordinate is false",
 "TaxonKey is Paradisaeidae"
 ]
}

 The dataset's 96 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062277-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7868313
title: Data-set for optical fiber Bragg gratings for in-situ cure-induced strain measurements

description: Data and data-analysis script behind the publication:

Mikkelsen, L.P., J.K. Jørgensen, U.A. Mortensen, T.L. Andersen, In-situ cure-induced strain measurements using optical fiber Bragg gratings for residual stress determinations in thermosets, Submitted 202

Relation between the data-files and the cure-profile ID used in the paper is listed below

40L-80L        : HFA0140M-80L-a   : HFA11 40M-80L-b   : HFA0340M-80L-c    : HFA1540S-80S        : HFA0550M-80L       : HFA1250M-80S-a   : HFA0650M-80S-b   : HFA0950S-40M-80L : HFA1450S-60M-80S :HFA0750S-75S-80S : HFA0850S-80L          : HFA13

A Google co-lab version of the data-analysis Jupyter Notebook can be found in the following link:https://colab.research.google.com/drive/1WIwgN31PB45_DnIx82qc59GwLELfOcsx?usp=sharing
DOI: 10.5281/zenodo.7868314
title: Data-set for optical fiber Bragg gratings for in-situ cure-induced strain measurements

description: Data and data-analysis script behind the publication:

Mikkelsen, L.P., J.K. Jørgensen, U.A. Mortensen, T.L. Andersen, In-situ cure-induced strain measurements using optical fiber Bragg gratings for residual stress determinations in thermosets, Submitted 202

Relation between the data-files and the cure-profile ID used in the paper is listed below

40L-80L        : HFA0140M-80L-a   : HFA11 40M-80L-b   : HFA0340M-80L-c    : HFA1540S-80S        : HFA0550M-80L       : HFA1250M-80S-a   : HFA0650M-80S-b   : HFA0950S-40M-80L : HFA1450S-60M-80S :HFA0750S-75S-80S : HFA0850S-80L          : HFA13

A Google co-lab version of the data-analysis Jupyter Notebook can be found in the following link:https://colab.research.google.com/drive/1WIwgN31PB45_DnIx82qc59GwLELfOcsx?usp=sharing
DOI: 10.15468/dl.bj7wcd
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Costa Rica",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 75 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062292-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv43h6
title: Occurrence Download

description: A dataset containing 2195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia boyciana Swinhoe, 1873",
 "Year 2005-2025"
 ]
}

 The dataset includes 2195 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062293-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aa7cry
title: Occurrence Download

description: A dataset containing 2006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Firmiana simplex (L.) W.Wight",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2006 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062295-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxts63
title: Occurrence Download

description: A dataset containing 534628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gyps fulvus (Hablizl, 1783)"
 ]
}

 The dataset includes 534628 records from 809 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062247-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14621467
title: Gene tagging and gene deletion resources for Leishmania mexicana MNYC/BZ/62/M379 Cas9/T7 strain

description: primers_barcodes.csv: List of primer sequences necessary for N and C terminus gene tagging, as well as gene deletion in the Leishmania mexicana MNYC/BZ/62/M379 Cas9/T7 strain. Each row contains the gene name and the DF (downstream forward), DR (downstream reverse), DSG (downstream guide sRNA), UF (upstream forward), UFB (upstream forward including a gene-unique 17nt barcode sequence), UR (upstream reverse), USG (upstream guide sRNA), VF (verification forward) and VR (verification reverse) primer sequences. Empty cells indicate that it was not possible to design this primer for this gene. Guide sRNA perfect match and off-target counts are included as well. The primer sequences were designed using LeishGEdit (http://www.leishgedit.net). Barcode sequences and assigned IDs for the unique identification of knock-out or tagged strains are included as separate columns. For recommended methods for endogenous tagging or gene deletion see Beneke et al., R. Soc. Open Sci.4170095 (2017), for generating barcoded deletion mutants see Beneke and Gluenz, Mol. Biochem. Parasitol. 239 (2020).

genome.gff: Annotated genome of the L. mexicana MNYC/BZ/62/M379 strain, genetically modified to express T7 RNA polymerase and Cas9. The annotation is provided in a combined GFF3 / FASTA format that also includes the sequences of the chromosomes and small contigs. The annotation also specifies polyadenylation sites (PAS features) and splice leader acceptor sites (SLAS features) which were used to refine the boundaries of protein-coding sequences as well as 3' and 5' untranslated regions over the reference genome of L. mexicana MNYC/BZ/62/M379.

c9t7_sequences.fasta: Raw chromosome and contig sequences in FASTA format.

c9t7_transcripts.fasta: mRNA transcript sequences in FASTA format (includes 5' and 3' UTRs).

c9t7_transcript_CDSs.fasta: Coding sequences in FASTA format.

c9t7_predicted_protein_sequences.fasta: Predicted protein amino acid sequences in FASTA format.

Note: This version provides an update for c9t7_transcript_CDSs.fasta, c9t7_predicted_protein_sequences.fasta and genome.gff, correcting an off-by-one sequence coordinate in 48 of the the protein-coding genes.
DOI: 10.5281/zenodo.6832399
title: Gene tagging and gene deletion resources for Leishmania mexicana MNYC/BZ/62/M379 Cas9/T7 strain

description: primers_barcodes.csv: List of primer sequences necessary for N and C terminus gene tagging, as well as gene deletion in the Leishmania mexicana MNYC/BZ/62/M379 Cas9/T7 strain. Each row contains the gene name and the DF (downstream forward), DR (downstream reverse), DSG (downstream guide sRNA), UF (upstream forward), UFB (upstream forward including a gene-unique 17nt barcode sequence), UR (upstream reverse), USG (upstream guide sRNA), VF (verification forward) and VR (verification reverse) primer sequences. Empty cells indicate that it was not possible to design this primer for this gene. Guide sRNA perfect match and off-target counts are included as well. The primer sequences were designed using LeishGEdit (http://www.leishgedit.net). Barcode sequences and assigned IDs for the unique identification of knock-out or tagged strains are included as separate columns. For recommended methods for endogenous tagging or gene deletion see Beneke et al., R. Soc. Open Sci.4170095 (2017), for generating barcoded deletion mutants see Beneke and Gluenz, Mol. Biochem. Parasitol. 239 (2020).

genome.gff: Annotated genome of the L. mexicana MNYC/BZ/62/M379 strain, genetically modified to express T7 RNA polymerase and Cas9. The annotation is provided in a combined GFF3 / FASTA format that also includes the sequences of the chromosomes and small contigs. The annotation also specifies polyadenylation sites (PAS features) and splice leader acceptor sites (SLAS features) which were used to refine the boundaries of protein-coding sequences as well as 3' and 5' untranslated regions over the reference genome of L. mexicana MNYC/BZ/62/M379.

c9t7_sequences.fasta: Raw chromosome and contig sequences in FASTA format.

c9t7_transcripts.fasta: mRNA transcript sequences in FASTA format (includes 5' and 3' UTRs).

c9t7_transcript_CDSs.fasta: Coding sequences in FASTA format.

c9t7_predicted_protein_sequences.fasta: Predicted protein amino acid sequences in FASTA format.

Note: This version provides an update for c9t7_transcript_CDSs.fasta, c9t7_predicted_protein_sequences.fasta and genome.gff, correcting an off-by-one sequence coordinate in 48 of the the protein-coding genes.