cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14828372
title: Pyridyl-functionalized tripod molecules on Au(111): Interplay between H-bonding and metal coordination

description: The self-assembly of pyridyl-functionalized triazine (T4PT) was studied on Au(111) using low-temperature scanning tunneling microscopy (STM) under ultra-high vacuum conditions combined with density functional theory (DFT) calculations. In particular, we investigated the effect of temperature on the intermolecular interactions within the assemblies. STM measurements revealed that T4PT molecules form a well-ordered, close-packed structure, with the molecules adopting a planar conformation parallel to the Au surface for coverages < 1 monolayer upon room temperature deposition. The intermolecular interactions stabilizing the self-assembled arrangement are based on a combination of hydrogen bonding and weak van der Waals forces. Upon post-deposition annealing up to 200° C, the assemblies are additionally stabilized by metal-ligand bonding between the pyridyl ligands and native Au adatoms. Further post-deposition annealing at temperatures above 200°C led to the breaking of the N-Au bonds with the molecular assemblies transforming into a second close-packed hydrogen-bonded structure. For temperatures exceeding 230° C, few covalently linked dimers formed, most likely as a result of CH-bond activation. We rationalize the kinetically-driven structure formation by unveiling the interaction strengths of the different bonding motifs using DFT and compare the respective molecular conformations to the structurally similar pyridyl-functionalized benzene (T4PB).
DOI: 10.15468/dl.saxfwa
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichobatrachus robustus Boulenger, 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 157 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020344-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dvj6k
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phidippus tux Pinter, 1970"
 ]
}

 The dataset includes 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020346-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tdqd7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes ambrosii (Lanza, 1955)",
 "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 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020347-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4weabc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes flavus (Stefani, 1969)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020348-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ge6yux
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes supramontis (Lanza, Nascetti & Bullini, 1986)",
 "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 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020349-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/a96e98625f9f99246258abaa7bb28ce4
title: High-frequency, hourly, and daily measurements from Friis Hills Meteorological Station (FRSM), McMurdo Dry Valleys, Antarctica (2010-2024, ongoing)

description: As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Friis Hills Meteorological Station (FRSM), which was established in 2010 on top of Friis Hills in Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, and wind speed and direction. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
DOI: 10.15468/dl.ak6bxy
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bufotes boulengeri (Lataste, 1879)",
 "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 75 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020350-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14714420
title: COCADA - Contacts detected for Protein Data Bank (PDB) entries

description: COCaDA-web is the database of intramolecular and intermolecular contacts. COCaDA command line interface calculates seven types of contacts: hydrogen bonds, hydrophobic, attractive, repulsive, salt bridges, aromatic, and disulfide bridges.

This dataset contains all contacts calculated for all PDB files available until January 21, 2025. Data extracted from Protein Data Bank (https://www.rcsb.org/). Contacts were calculated using COCaDA v1.0.

For each PDB entry, consisting of a set of four digits, there is a subdirectory with two files in CSV format:



0ABC_contacts.csv: contains the list of contacts of the PDB entry in question. Each line is composed of the following entries: Chain1 (chain of residue 1), Res1 (code of residue 1), ResName1 (name of residue 1), Atom1 (atom of residue 1), Chain2 (chain of residue 2), Res2 (code of residue 2), ResName2 (name of residue 2), Atom2 (atom of residue 2), Distance (distance between atoms - in angstroms), Type (type of contact)

0ABC_info.csv: contains information about the entry.


COCaDA-web is available at http://bioinfo.dcc.ufmg.br/cocada-webCOCaDA command line (source code) is available at https://github.com/LBS-UFMG/cocada
DOI: 10.5281/zenodo.14714421
title: COCADA - Contacts detected for Protein Data Bank (PDB) entries

description: COCaDA-web is the database of intramolecular and intermolecular contacts. COCaDA command line interface calculates seven types of contacts: hydrogen bonds, hydrophobic, attractive, repulsive, salt bridges, aromatic, and disulfide bridges.

This dataset contains all contacts calculated for all PDB files available until January 21, 2025. Data extracted from Protein Data Bank (https://www.rcsb.org/). Contacts were calculated using COCaDA v1.0.

For each PDB entry, consisting of a set of four digits, there is a subdirectory with two files in CSV format:



0ABC_contacts.csv: contains the list of contacts of the PDB entry in question. Each line is composed of the following entries: Chain1 (chain of residue 1), Res1 (code of residue 1), ResName1 (name of residue 1), Atom1 (atom of residue 1), Chain2 (chain of residue 2), Res2 (code of residue 2), ResName2 (name of residue 2), Atom2 (atom of residue 2), Distance (distance between atoms - in angstroms), Type (type of contact)

0ABC_info.csv: contains information about the entry.


COCaDA-web is available at http://bioinfo.dcc.ufmg.br/cocadaCOCaDA command line (source code) is available at https://github.com/LBS-UFMG/cocada
DOI: 10.5281/zenodo.14834858
title: COCADA - Contacts detected for Protein Data Bank (PDB) entries

description: COCaDA-web is the database of intramolecular and intermolecular contacts. COCaDA command line interface calculates seven types of contacts: hydrogen bonds, hydrophobic, attractive, repulsive, salt bridges, aromatic, and disulfide bridges.

This dataset contains all contacts calculated for all PDB files available until January 21, 2025. Data extracted from Protein Data Bank (https://www.rcsb.org/). Contacts were calculated using COCaDA v1.0.

For each PDB entry, consisting of a set of four digits, there is a subdirectory with two files in CSV format:



0ABC_contacts.csv: contains the list of contacts of the PDB entry in question. Each line is composed of the following entries: Chain1 (chain of residue 1), Res1 (code of residue 1), ResName1 (name of residue 1), Atom1 (atom of residue 1), Chain2 (chain of residue 2), Res2 (code of residue 2), ResName2 (name of residue 2), Atom2 (atom of residue 2), Distance (distance between atoms - in angstroms), Type (type of contact)

0ABC_info.csv: contains information about the entry.


COCaDA-web is available at http://bioinfo.dcc.ufmg.br/cocada-webCOCaDA command line (source code) is available at https://github.com/LBS-UFMG/cocada
DOI: 10.6084/m9.figshare.28371173
title: S1 File

description: Data supporting Figure 2A of Kerr et al 2025
DOI: 10.6084/m9.figshare.28371173.v1
title: S1 File

description: Data supporting Figure 2A of Kerr et al 2025
DOI: 10.26093/cds/vizier.17810022
title: Region I of La Silla QUEST RR Lyrae star survey

description: VizieR online Data Catalogue associated with article published in journal Astrophysical Journal with title ' La Silla QUEST RR Lyrae star survey: region I.' (bibcode: 2014ApJ...781...22Z)
DOI: 10.15468/dl.xat4tg
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bufotes siculus (Stöck, Sicilia, Belfiore, Buckley, Lo-Brutto, Lo-Valvo & Arculeo, 2008)",
 "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 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020351-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykeug5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes sarrabusensis Lanza, Leo, Forti, Cimmaruta, Caputo & Nascetti, 2001",
 "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/0020352-250127130748423/datasets/export for details.
DOI: 10.15468/dl.xe5s37
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus gaisleri Benda, Kiefer, Hanak & Veith, 2004",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020353-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9328u9
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.21.16_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 934 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020354-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brvmun
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermophilus suslicus (Güldenstaedt, 1770)",
 "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 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020355-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq48kr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microtus tatricus Kratochvíl, 1952",
 "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/0020356-250127130748423/datasets/export for details.
DOI: 10.15468/dl.q3by5m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra rupicapra tatrica Blahout, 1971",
 "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/0020357-250127130748423/datasets/export for details.
DOI: 10.15468/dl.yr9m4p
title: Occurrence Download

description: A dataset containing 22314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((129.91411 28.02490,172.17638 28.02490,172.17638 44.92238,129.91411 44.92238,129.91411 28.02490))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neogastropoda"
 ]
}

 The dataset includes 22314 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020358-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn7peg
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus azoreum (Thomas, 1901)",
 "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 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020359-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv2jwv
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 468 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020360-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggjbzn
title: Occurrence Download

description: A dataset containing 10349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Teira dugesii (Milne-Edwards, 1829)",
 "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 10349 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020361-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjf2gp
title: Occurrence Download

description: A dataset containing 580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-177.22732 4.47198,-106.49129 4.47198,-106.49129 75.61155,-177.22732 75.61155,-177.22732 4.47198))",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Mertensia maritima (L.) Gray, Mertensia maritima var. asiatica (H.Takeda) S.L.Welsh)"
 ]
}

 The dataset includes 580 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020362-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm3djv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triturus vulgaris ampelensis Fuhn, 1951",
 "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/0020363-250127130748423/datasets/export for details.
DOI: 10.3886/e218382
title: FEMA National Risk Index

description: The National Risk Index is a dataset and online tool to help illustrate the United States communities most at risk for 18 natural hazards. It was designed and built by FEMA in close collaboration with various stakeholders and partners in academia; local, state and federal government; and private industry.Learn more about the Risk Index ContributorsThe Risk Index leverages available source data for natural hazard and community risk factors to develop a baseline risk measurement for each United States county and Census tract.<br><br>The 18 natural hazards included in the National Risk Index are:AvalancheCoastal FloodingCold WaveDroughtEarthquakeHailHeat WaveHurricaneIce StormLandslideLightningRiverine FloodingStrong WindTornadoTsunamiVolcanic ActivityWildfireWinter WeatherIn the National Risk Index, natural hazards are represented in terms of Expected Annual Loss, which incorporate data for exposure, annualized frequency, and historic loss ratio.<br><br>This dataset is represented in three different formats:<br>* Geodatabase - files with _GDB_ in the name are geodatabase format.<br>* Shape files - files with _Shapefile_ in the name are in shapefile format.<br>* CSV - files with _Table_ in the name are in CSV format.
DOI: 10.3886/e218382v1
title: FEMA National Risk Index

description: The National Risk Index is a dataset and online tool to help illustrate the United States communities most at risk for 18 natural hazards. It was designed and built by FEMA in close collaboration with various stakeholders and partners in academia; local, state and federal government; and private industry.Learn more about the Risk Index ContributorsThe Risk Index leverages available source data for natural hazard and community risk factors to develop a baseline risk measurement for each United States county and Census tract.<br><br>The 18 natural hazards included in the National Risk Index are:AvalancheCoastal FloodingCold WaveDroughtEarthquakeHailHeat WaveHurricaneIce StormLandslideLightningRiverine FloodingStrong WindTornadoTsunamiVolcanic ActivityWildfireWinter WeatherIn the National Risk Index, natural hazards are represented in terms of Expected Annual Loss, which incorporate data for exposure, annualized frequency, and historic loss ratio.<br><br>This dataset is represented in three different formats:<br>* Geodatabase - files with _GDB_ in the name are geodatabase format.<br>* Shape files - files with _Shapefile_ in the name are in shapefile format.<br>* CSV - files with _Table_ in the name are in CSV format.
DOI: 10.6084/m9.figshare.26662129
title: Drake et al. settlement tile coral recruit abundance and benthic taxa across the Great Barrier Reef and Torres Straits

description: Coral recruit abundance, benthic taxa percent cover, spatial, and environmental data of unique settlement tiles deployed across ecological gradients along the GBR and Torres Straits ("Drake et al settlement tiles.xlsx"). These data are used to understand which environmental conditions and benthic taxa best predict coral recruit densities across environmental gradients. The settlement tiles were deployed at 141 stations in 2021 and collected after 20 to 24 months.Benthic taxa on settlement tiles were classified using the AI software ReefCloud (https://reefcloud.ai/). To validate the use of the software with respect to the present data, a random subset of 25% of the settlement tile images were annotated under 20 evenly spaced grid points. Results of human classification versus machine classification of benthic taxa per settlement tile in "Drake et al AI validation.xlsx".
DOI: 10.15468/dl.e6n89j
title: Occurrence Download

description: A dataset containing 1493 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de bacterias aisladas de Musa sp."
 ]
}

 The dataset includes 1493 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020366-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dncb4w
title: Occurrence Download

description: A dataset containing 1714213 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 1714213 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020246-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.