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

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arctictis binturong (Raffles, 1821)"
 ]
}

 The dataset includes 544 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010295-241126133413365/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.27936309
title: Athletic Trainer Qualtrics Data Raw.pdf

description: Survey based study of Athletic Trainers at Public Florida High School Athletic Association high schools to assess utility, usage, and perception of pre-athletic event medical time outs.
DOI: 10.15468/dl.3hjr88
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010297-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14254314
title: Dataset hotels 2017 Spain

description: Dataset with Spanish hotels in the year 2017 for Project INTDAMARK (PID2020-119994RB-I00) MCIN/AEI/10.13039/501100011033/
DOI: 10.5281/zenodo.14254315
title: Dataset hotels 2017 Spain

description: Dataset with Spanish hotels in the year 2017 for Project INTDAMARK (PID2020-119994RB-I00) MCIN/AEI/10.13039/501100011033/
DOI: 10.15468/dl.wz6eax
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Xerospermophilus perotensis (Merriam, 1893)"
 ]
}

 The dataset includes 112 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010299-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14060913
title: Negative Stain Electron Microscopy Datasets for alphaB-crystallin NT-IXI perturbed mutants in fibrillar and cage-like morphologies

description: Negative stain datasets for alphaB-crystallin NT-AXA mutant. Contains two datasets, one for the fibrillar morphology (93 micorgraphs) and another for the cage-like morphology (119 micrographs)

Images were taken on a Thermo Fisher Tecnai T-12 microscope equipped with a BM-Eagle detector at a calibrated pixel size of 4.37Å/px
DOI: 10.5281/zenodo.14060914
title: Negative Stain Electron Microscopy Datasets for alphaB-crystallin NT-IXI perturbed mutants in fibrillar and cage-like morphologies

description: Negative stain datasets for alphaB-crystallin NT-AXA mutant. Contains two datasets, one for the fibrillar morphology (93 micorgraphs) and another for the cage-like morphology (119 micrographs)

Images were taken on a Thermo Fisher Tecnai T-12 microscope equipped with a BM-Eagle detector at a calibrated pixel size of 4.37Å/px
DOI: 10.15468/dl.8uvuk4
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010300-241126133413365/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.25288882
title: Paramagnetic NMR Shifts of <i>Tris</i>-Hypersilanide Early f-Block Metal(III) Complexes

description: Supporting characterisation data for novel early f-block metal(III) hypersilanide complexes. Data includes NMR, ATR-IR, UV-Vis-NIR and EPR spectroscopy, PXRD, SQUID magnetic data and output files from calculations.
DOI: 10.6084/m9.figshare.25288882.v1
title: Paramagnetic NMR Shifts of <i>Tris</i>-Hypersilanide Early f-Block Metal(III) Complexes

description: Supporting characterisation data for novel early f-block metal(III) hypersilanide complexes. Data includes NMR, ATR-IR, UV-Vis-NIR and EPR spectroscopy, PXRD, SQUID magnetic data and output files from calculations.
DOI: 10.5281/zenodo.14254317
title: Chatbot dataset

description: Dataset with with the data from the questionnaire  on chatbots for the Project INTDAMARK (PID2020-119994RB-I00) MCIN/AEI/10.13039/501100011033/
DOI: 10.5281/zenodo.14254318
title: Chatbot dataset

description: Dataset with with the data from the questionnaire  on chatbots for the Project INTDAMARK (PID2020-119994RB-I00) MCIN/AEI/10.13039/501100011033/
DOI: 10.25919/c536-p165
title: Parkes observations for project P303 semester 2001JANT_01

description: Search and Timing of Pulsars in Globular Clusters
DOI: 10.6084/m9.figshare.26105386
title: <b>A six-legged piano stool dysprosium single-molecule magnet</b>

description: Dysprosium single-molecule magnets (SMMs) with two mutually <i>trans</i>- anionic ligands have shown large crystal field (CF) splitting, giving record effective energy barriers to magnetic reversal (<i>U</i><sub>eff</sub>) and hysteresis temperatures (<i>T</i><sub>H</sub>). However, these complexes tend to be bent, imposing a transverse field that reduces the purity of the <i>m</i><sub><em>J</em></sub> projections of the CF states and promotes magnetic relaxation; a complex with only one anionic ligand could have more pure CF states, and thus high <i>U</i><sub>eff</sub> and <i>T</i><sub>H</sub>. Here we report the first example of an SMM with this topology, [Dy(C<sub>5</sub>Me<sub>5</sub>)(FPh)<sub>6</sub>][{Al[OC(CF<sub>3</sub>)<sub>3</sub>]<sub>3</sub>}<sub>2</sub>(<i>µ</i>-F)]<sub>2</sub> (<b>1-Dy</b>), which exhibits <i>U</i><sub>eff</sub> = 812(47) K and <i>T</i><sub>H</sub> = 14 K at sweep rates of 22 Oe<i> </i>s<sup>–1</sup>; the C<sub>5</sub>Me<sub>5</sub> ligand imposes a strong axial CF and the five equatorially-bound neutral fluorobenzenes present only weak transverse interactions. We show that complexes such as <b>1-Dy</b> can be useful starting materials for heteroleptic Ln complexes as the fluorobenzenes are easily displaced.
DOI: 10.6084/m9.figshare.26105386.v1
title: <b>A six-legged piano stool dysprosium single-molecule magnet</b>

description: Dysprosium single-molecule magnets (SMMs) with two mutually <i>trans</i>- anionic ligands have shown large crystal field (CF) splitting, giving record effective energy barriers to magnetic reversal (<i>U</i><sub>eff</sub>) and hysteresis temperatures (<i>T</i><sub>H</sub>). However, these complexes tend to be bent, imposing a transverse field that reduces the purity of the <i>m</i><sub><em>J</em></sub> projections of the CF states and promotes magnetic relaxation; a complex with only one anionic ligand could have more pure CF states, and thus high <i>U</i><sub>eff</sub> and <i>T</i><sub>H</sub>. Here we report the first example of an SMM with this topology, [Dy(C<sub>5</sub>Me<sub>5</sub>)(FPh)<sub>6</sub>][{Al[OC(CF<sub>3</sub>)<sub>3</sub>]<sub>3</sub>}<sub>2</sub>(<i>µ</i>-F)]<sub>2</sub> (<b>1-Dy</b>), which exhibits <i>U</i><sub>eff</sub> = 812(47) K and <i>T</i><sub>H</sub> = 14 K at sweep rates of 22 Oe<i> </i>s<sup>–1</sup>; the C<sub>5</sub>Me<sub>5</sub> ligand imposes a strong axial CF and the five equatorially-bound neutral fluorobenzenes present only weak transverse interactions. We show that complexes such as <b>1-Dy</b> can be useful starting materials for heteroleptic Ln complexes as the fluorobenzenes are easily displaced.
DOI: 10.5281/zenodo.14148179
title: A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 2 (Modern East Slavic)

description: Modern East Slavic dialects (Belogornoje, Megra, Zialionka)

General description

A set of modern East Slavic Belogornoje, Megra and Zialionka small territorial lects subcorpora. Megra is an autochthonous (Barannikova, 2005) Northern Russian small territorial lect (Kryuchkova and Goldin, 2011). Belogornoje is a late settlement (Barannikova, 2005) Central Russian small territorial lect (Kryuchkova and Goldin, 2011). Zialionka is an autochthonous Northern Belarusian lect, radically different from Belogornoje and Megra by most of the key isoglosses within the Eastern part of the Slavic continuum.

Sources

Both Megra and Belogornoje texts originate from the Saratov dialectological corpus (Kryuchkova and Goldin, 2011). These are manually transcribed interviews with dialect speakers, mostly on the slice-of-life, rarely touching the topic of religion, recorded during the field trips of Saratov State University from 1980 to 2019. They possess some tagging, but for the purpose of clear cross-evaluation, the experiments do not use this information. The transcription is phonemic, faithful to the dialect features, and remains untouched in the experiments.

Zialionka texts are also phonemically transcribed and untouched in experiments, they come from the Polack ethnographic collection (Lobač, 2011). The main genre is folklore tales, collected by transcribing interviews with small territorial lects  speakers during the field trips of Polack State University (Belarus) from 1992 to 2010 years. There are no traces of notable phonetic irregularities within the texts. Unfortunately, there is no way to reliably establish it, as there are no available original recordings.

The data statement is available among the downloadable files.

How-to

This section contains the tutorials that allow to use this data with the intended pipelines.

Corpus-based distance measurement package

The source code for package is available here, the manual is available in the README section of the repository.

To use this dataset for the measurement of distance between Belogornoje, Megra and Zialionka lects, and their subsequent clusterisation, following steps should be completed:



Download the Jupyter notebook that streamlines the package use.

Download the dataset.

Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).

Insert the path to the directory into CONTENT_DIR variable in the Jupyter notebook.

Run the notebook, adjusting the parameters, if necessary.
DOI: 10.5281/zenodo.14148180
title: A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 2 (Modern East Slavic)

description: Modern East Slavic dialects (Belogornoje, Megra, Zialionka)

General description

A set of modern East Slavic Belogornoje, Megra and Zialionka small territorial lects subcorpora. Megra is an autochthonous (Barannikova, 2005) Northern Russian small territorial lect (Kryuchkova and Goldin, 2011). Belogornoje is a late settlement (Barannikova, 2005) Central Russian small territorial lect (Kryuchkova and Goldin, 2011). Zialionka is an autochthonous Northern Belarusian lect, radically different from Belogornoje and Megra by most of the key isoglosses within the Eastern part of the Slavic continuum.

Sources

Both Megra and Belogornoje texts originate from the Saratov dialectological corpus (Kryuchkova and Goldin, 2011). These are manually transcribed interviews with dialect speakers, mostly on the slice-of-life, rarely touching the topic of religion, recorded during the field trips of Saratov State University from 1980 to 2019. They possess some tagging, but for the purpose of clear cross-evaluation, the experiments do not use this information. The transcription is phonemic, faithful to the dialect features, and remains untouched in the experiments.

Zialionka texts are also phonemically transcribed and untouched in experiments, they come from the Polack ethnographic collection (Lobač, 2011). The main genre is folklore tales, collected by transcribing interviews with small territorial lects  speakers during the field trips of Polack State University (Belarus) from 1992 to 2010 years. There are no traces of notable phonetic irregularities within the texts. Unfortunately, there is no way to reliably establish it, as there are no available original recordings.

How-to

This section contains the tutorials that allow to use this data with the intended pipelines.

Corpus-based distance measurement package

The source code for package is available here, the manual is available in the README section of the repository.

To use this dataset for the measurement of distance between Belogornoje, Megra and Zialionka lects, and their subsequent clusterisation, following steps should be completed:



Download the Jupyter notebook that streamlines the package use.

Download the dataset.

Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).

Insert the path to the directory into CONTENT_DIR variable in the Jupyter notebook.

Run the notebook, adjusting the parameters, if necessary.
DOI: 10.5281/zenodo.14254323
title: A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 2 (Modern East Slavic)

description: Modern East Slavic dialects (Belogornoje, Megra, Zialionka)

General description

A set of modern East Slavic Belogornoje, Megra and Zialionka small territorial lects subcorpora. Megra is an autochthonous (Barannikova, 2005) Northern Russian small territorial lect (Kryuchkova and Goldin, 2011). Belogornoje is a late settlement (Barannikova, 2005) Central Russian small territorial lect (Kryuchkova and Goldin, 2011). Zialionka is an autochthonous Northern Belarusian lect, radically different from Belogornoje and Megra by most of the key isoglosses within the Eastern part of the Slavic continuum.

Sources

Both Megra and Belogornoje texts originate from the Saratov dialectological corpus (Kryuchkova and Goldin, 2011). These are manually transcribed interviews with dialect speakers, mostly on the slice-of-life, rarely touching the topic of religion, recorded during the field trips of Saratov State University from 1980 to 2019. They possess some tagging, but for the purpose of clear cross-evaluation, the experiments do not use this information. The transcription is phonemic, faithful to the dialect features, and remains untouched in the experiments.

Zialionka texts are also phonemically transcribed and untouched in experiments, they come from the Polack ethnographic collection (Lobač, 2011). The main genre is folklore tales, collected by transcribing interviews with small territorial lects  speakers during the field trips of Polack State University (Belarus) from 1992 to 2010 years. There are no traces of notable phonetic irregularities within the texts. Unfortunately, there is no way to reliably establish it, as there are no available original recordings.

The data statement is available among the downloadable files.

How-to

This section contains the tutorials that allow to use this data with the intended pipelines.

Corpus-based distance measurement package

The source code for package is available here, the manual is available in the README section of the repository.

To use this dataset for the measurement of distance between Belogornoje, Megra and Zialionka lects, and their subsequent clusterisation, following steps should be completed:



Download the Jupyter notebook that streamlines the package use.

Download the dataset.

Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).

Insert the path to the directory into CONTENT_DIR variable in the Jupyter notebook.

Run the notebook, adjusting the parameters, if necessary.
DOI: 10.5281/zenodo.14057668
title: A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 1 (Old East Slavic)

description: Old East Slavic charters (XII - XIV century)

General description

A set of nine historical Old East Slavic legal texts from Smolensk, Polack and Novgorod from the end of the XII century to the first half of the XIV century. The source for Smolensk charters is Avanesov (1963), which contains original texts as well as their initial deciphering (not machine-readable). The source for Polack charters is Horoshkevich (2015), containing trascribed machine-readable texts that required only an additional check and preparation. The source for Novgorod charters is Napierskij (1857), carrying original texts and their initial non-machine-readable deciphering. All the texts underwent an additional preprocessing of reconstructed and contracted parts deletion in order to better represent the actual texts under consideration and exclude as many research biases as it is possible. The last step was a manual tokenisation and the joining of each text into a single string.

The data statement is available among the downloadable files.

How-to

This section contains the tutorials that allow to use this data with the intended pipelines.

Corpus-based distance measurement package

The source code for package is available here, the manual is available in the README section of the repository.

To use this dataset for the measurement of distance between Smolensk, Polack and Novgorod lects, and their subsequent clusterisation, following steps should be completed:



Download the Jupyter notebook that streamlines the package use.

Download the dataset.

Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).

Insert the path to the directory into CONTENT_DIR variable in the Jupyter notebook.

Run the notebook, adjusting the parameters, if necessary.
DOI: 10.5281/zenodo.14199981
title: A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 1 (Old East Slavic)

description: Old East Slavic charters (XII - XIV century)

General description

A set of nine historical Old East Slavic legal texts from Smolensk, Polack and Novgorod from the end of the XII century to the first half of the XIV century. The source for Smolensk charters is Avanesov (1963), which contains original texts as well as their initial deciphering (not machine-readable). The source for Polack charters is Horoshkevich (2015), containing trascribed machine-readable texts that required only an additional check and preparation. The source for Novgorod charters is Napierskij (1857), carrying original texts and their initial non-machine-readable deciphering. All the texts underwent an additional preprocessing of reconstructed and contracted parts deletion in order to better represent the actual texts under consideration and exclude as many research biases as it is possible. The last step was a manual tokenisation and the joining of each text into a single string.

The data statement is available among the downloadable files.

How-to

This section contains the tutorials that allow to use this data with the intended pipelines.

Corpus-based distance measurement package

The source code for package is available here, the manual is available in the README section of the repository.

To use this dataset for the measurement of distance between Smolensk, Polack and Novgorod lects, and their subsequent clusterisation, following steps should be completed:



Download the Jupyter notebook that streamlines the package use.

Download the dataset.

Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).

Insert the path to the directory into CONTENT_DIR variable in the Jupyter notebook.

Run the notebook, adjusting the parameters, if necessary.
DOI: 10.15468/dl.qczev8
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xerospermophilus perotensis (Merriam, 1893)"
 ]
}

 The dataset includes 68 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010302-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avkrhd
title: Occurrence Download

description: A dataset containing 33046 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizophora mangle L."
 ]
}

 The dataset includes 33046 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010304-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13910402
title: TABLE 1 in A sabre-tooth predator from the Neotropics: Cranial morphology of Anachlysictis gracilis Goin, 1997 (Metatheria, Thylacosmilidae), based on new specimens from La Venta (Middle Miocene, Colombia)

description: TABLE 1. — Dental measurements of the specimens of Anachlysictis gracilis Goin, 1997. Abbreviations: C/c, upper/lower canines; P/p, premolars; L, length; M/m, molars; Tal., talonid; Trg, trigonid; W, width. Measurements expressed in millimeters.
SpecimenCP2P3M1M2M3M4VPPLT 1612 (right)L20.633.476.4612.313.2212.993.99W6.741.884.426.978.8310.210.8VPPLT 1612 (left)L??6.4112.5c. 12.60c. 13.184W?c. 2.602.566.458.6710.3c. 10.70cp2p3m1m2m3m4IGM 184247 (right)L?c. 6.00c. 7.20c. 9.5011.4513.613.4W?c. 3.00c. 3.30Trgc. 4.455.2566Tal.c. 4.004.755.051.75IGM 184247 (left)L????11.313.6?W???Trg?55.8?Tal.?4.455.1?VPPLT 1612 (right)L?c. 4.25c. 6.709.3811.8113.3813.6Wc. 2.26c. 3.91Trg4.255.66.596.73Tal.3.64.855.412.5VPPLT 1612 (left)L8.943.396.79.24c. 12.05c. 13.35c. 14.00W5.321.762.5Trg3.885.29c. 6.466.23Tal.c. 3.204.55c. 5.622.5
description: Published as part of Suarez, Catalina, Forasiepi, Analia M., Babot, María Judith, Shinmura, Tatsuya, Luque, Javier, Vanegas, Rubén D., Cadena, Edwin A. & Goin, Francisco J., 2023, A sabre-tooth predator from the Neotropics: Cranial morphology of Anachlysictis gracilis Goin, 1997 (Metatheria, Thylacosmilidae), based on new specimens from La Venta (Middle Miocene, Colombia), pp. 504 in Geodiversitas 45 (18) on page 504, DOI: 10.5252/geodiversitas2023v45a18, http://zenodo.org/record/8434228