cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10971652
title: Anàlisi comparativa de Preus de Supermercat: Un Conjunt de Dades Extret a Partir de Web Scraping

description: Aquesta base de dades ofereix un recull detallat de dades sobre els preus i els productes de tres de les principals cadenes de supermercats d'Espanya: Consum, Dia i Supermercats Mas. Les tècniques avançades de recopilació de dades de la web es van utilitzar per recopilar dades per a anàlisis comparatives de preus, investigacions de mercat i estudis acadèmics sobre economia de consumidor.

Les dades es van obtenir l'14 de febrer de 2024 i representen els preus i la disponibilitat de productes en aquella data específica. Cada registre del dataset conté la següent informació per a cada producte listat:



Nom del producte

Marca

Preu

Supermercat on el producte és venut

URL directa a la pàgina del producte per a més informació


El procés de recollida de dades es va dur a terme a través de scripts de Python, utilitzant la llibreria Selenium per interactuar amb els llocs web dinàmics de Consum i BeautifulSoup per obtenir dades dels llocs web més estàtics de Dia i Supermercados Mas. Aquest enfocament assegura una recollida de dades precisa i actualitzada, adaptant-se als diferents entorns web dels supermercats.
DOI: 10.15468/dl.fwaw7u
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cienfuegosia welshii (T.Anderson) Garcke"
 ]
}

 The dataset includes 96 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137892-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqexaj
title: Occurrence Download

description: A dataset containing 168469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chen caerulescens (Linnaeus, 1758)"
 ]
}

 The dataset includes 168469 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004439-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974582
title: Human mutations in high-confidence Tourette disorder genes affect sensorimotor behavior, reward learning, and striatal dopamine in mice.
DOI: 10.5281/zenodo.10974583
title: Human mutations in high-confidence Tourette disorder genes affect sensorimotor behavior, reward learning, and striatal dopamine in mice.
DOI: 10.5281/zenodo.10974913
title: actuacionesHistoricasAtletismo

description: El conjunto de datos contiene información sobre las mejores actuaciones históricas en distintas pruebas de atletismo.

El dataset se ha generado mediante la realización de Web Scraping en la página Web: https://www.alltime-athletics.com/index.html

 

record_id: id de la marca, indica la posición histórica de la marca, string

trial: prueba de atletismo, string. 

record: valor de la marca. Dependiendo de la métrica serán segundos o metros, string

units: unidad del valor del récord, string

wind: velocidad del viento durante la prueba, string. En pruebas donde no está medido tendremos un NAN, string

record_city: ciudad donde se dió el récord, string

record_date: fecha de la marca, string

athlete_name: nombre del atleta, string

athlete_country: nacionalidad del atleta, string

athlete_date: fecha de nacimiento del atleta, string

sex: sexo del atleta que hizo el record, string

qualification: clasificación en la que hizo la marca (semifinales, final, etc.), string
DOI: 10.5281/zenodo.10974914
title: actuacionesHistoricasAtletismo

description: El conjunto de datos contiene información sobre las mejores actuaciones históricas en distintas pruebas de atletismo.

El dataset se ha generado mediante la realización de Web Scraping en la página Web: https://www.alltime-athletics.com/index.html

 

record_id: id de la marca, indica la posición histórica de la marca, string

trial: prueba de atletismo, string. 

record: valor de la marca. Dependiendo de la métrica serán segundos o metros, string

units: unidad del valor del récord, string

wind: velocidad del viento durante la prueba, string. En pruebas donde no está medido tendremos un NAN, string

record_city: ciudad donde se dió el récord, string

record_date: fecha de la marca, string

athlete_name: nombre del atleta, string

athlete_country: nacionalidad del atleta, string

athlete_date: fecha de nacimiento del atleta, string

sex: sexo del atleta que hizo el record, string

qualification: clasificación en la que hizo la marca (semifinales, final, etc.), string
DOI: 10.15468/dl.ap28pw
title: Occurrence Download

description: A dataset containing 57871 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cicuta virosa L."
 ]
}

 The dataset includes 57871 records from 455 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137876-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10120112
title: Replication package for: "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist"

description: Djourelova, Milena, Durante, Ruben, and Gregory J. Martin (2023). "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist."
The replication package contains software and datasets needed to produce tables and figures in the paper, as well as data cleaning scripts and raw data.
The replication package is also available as a Git repository at https://code.stanford.edu/gjmartin/craigslist-replication-code-and-data
DOI: 10.5281/zenodo.10120113
title: Replication package for: "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist"

description: Djourelova, Milena, Durante, Ruben, and Gregory J. Martin (2023). "The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist."
The replication package contains software and datasets needed to produce tables and figures in the paper, as well as data cleaning scripts and raw data.
The replication package is also available as a Git repository at https://code.stanford.edu/gjmartin/craigslist-replication-code-and-data
DOI: 10.5281/zenodo.10974884
title: Base de datos de Medicamentos Aprobados por la FDA (2002-2024)

description: Los datos han sido recolectados del sitio web "Drugs.com", específicamente de la página "New Drugs" (https://www.drugs.com/newdrugs.html). Este sitio web es una fuente relevante y confiable de información sobre nuevos medicamentos aprobados por la Administración de Alimentos y Medicamentos (FDA) de los Estados Unidos y otras agencias reguladoras de medicamentos de todo el mundo.
DOI: 10.15468/dl.ouqpil
title: Occurrence Download

description: A dataset containing 2364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cortinarius collinitus (Sow. ex Fr.) Fr."
 ]
}

 The dataset includes 2364 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004439-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974903
title: Mixing matrix example
DOI: 10.5281/zenodo.10974904
title: Mixing matrix example
DOI: 10.5281/zenodo.10214273
title: Supplemental Table and Figures for TSH Trajectories in the ELSA-Brasil Cohort
DOI: 10.5281/zenodo.10472160
title: SOMD - SOftware Mention Detection

description: The dataset contains the training and test data for the SOftware Mention Detection challenge. The data is derived from the SoMeSci Knowledge Graph of software mentions.



Subtask 1 deals with the recognition of software mentions and the classification of mention (e.g. Usage, Creation,...) and software types (e.g. Application, PlugIn,...) at the same time 

Subtask 2 requires the recognition of additional meta data of software mentions (e.g. Version, Developer, URL,...)

Subtask 3 deals with extracting the relations between the different entities of interest (e.g. Version_of, License_of,...)


A detailed description of the dataset including the creation and a baseline for the different subtasks can be found in the following article 

D. Schindler, F. Bensmann, S. Dietze, and F. Krüger, “SoMeSci—A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles,” in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), Virtual Event, QLD, Australia: Association for Computing Machinery, Nov. 2021. doi: 10.1145/3459637.3482017.
DOI: 10.5281/zenodo.10972564
title: Geographic range maps for Mammal Diversity Database v1.3 taxonomy

description: Update of mammal maps based on the taxonomy of the Mammal diversity database. These maps are different from the original, have been downscaled and are distributed under the R package mdd (github.com/alrobles/mdd).
DOI: 10.5281/zenodo.10974719
title: RESONATE_T3.2_datasets_exemplars

description: The files contain datasets filled out by relevant exemplars from the Case study regions, as defined in deliverable 3.3 of the RESONATE project. The data has been anonymized and agreed upon by case study representatives of the RESONATE project.
DOI: 10.5281/zenodo.10974890
title: SOMD - SOftware Mention Detection

description: The dataset contains the training and test data for the SOftware Mention Detection challenge. The data is derived from the SoMeSci Knowledge Graph of software mentions.



Subtask 1 deals with the recognition of software mentions and the classification of mention (e.g. Usage, Creation,...) and software types (e.g. Application, PlugIn,...) at the same time 

Subtask 2 requires the recognition of additional meta data of software mentions (e.g. Version, Developer, URL,...)

Subtask 3 deals with extracting the relations between the different entities of interest (e.g. Version_of, License_of,...)


A detailed description of the dataset including the creation and a baseline for the different subtasks can be found in the following article 

D. Schindler, F. Bensmann, S. Dietze, and F. Krüger, “SoMeSci—A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles,” in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), Virtual Event, QLD, Australia: Association for Computing Machinery, Nov. 2021. doi: 10.1145/3459637.3482017.
DOI: 10.5281/zenodo.10974945
title: Supplemental Table and Figures for TSH Trajectories in the ELSA-Brasil Cohort
DOI: 10.5281/zenodo.8375551
title: RESONATE_T3.2_datasets_exemplars

description: The files contain datasets filled out by relevant exemplars from the Case study regions, as defined in deliverable 3.3 of the RESONATE project. The data has been anonymized and agreed upon by case study representatives of the RESONATE project.
DOI: 10.15468/dl.dh6757
title: Occurrence Download

description: A dataset listing the 23189 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Albania, Andorra, Bosnia and Herzegovina, Bulgaria, Croatia, Moldova, Republic of, Montenegro, North Macedonia, Portugal, Romania, Serbia, Slovenia, Spain)",
 "OccurrenceStatus is Present",
 "Year 2022-2023"
 ]
}

 The dataset's 23189 records were derived from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137930-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10726199
title: Freshwater fish species distribution in Spain

description: Database containing information on 40 freshwater fish species distribution across Spain at 1km grid cell resolution

1.  Main file: Species_distribution_UTM_prob1000.csv

The information was obtained through the development of Species Distribution Models using BIOMOD 2 (Thuiller et al. 2009) calibrated and validated on the most complete databases on fish occurrences across Spain.

The database contains in the rows all UTM1x1 km within the river network, as defined by Spanis Government (Ministerio para la Transición Ecológica), and for each species includes information on the habitat suitability derived from our models (ranging from 1-1000, being 1 low habitat suitability and 1000 high habitat suitability).

The projections of habitat suitability values were restricted to the hidrological basins within the natural distribution range for each species (i.e., in the hidrological basins where there was at least one presence occurence of the fish species). The hidrological basin used can be found here: https://www.miteco.gob.es/es/cartografia-y-sig/ide/descargas/agua/demarcaciones-hidrograficas-phc-2015-2021.aspx

For more information about the models, see: Lanzas et al., 2022

2. Species_code_information.csv included the relation between the code used in the main database and scientific name of the species

3. UTM zip file Shapefile with the grid cells. This is also available at: https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible/bdn-cart-aux-descargas-ccaa.html
DOI: 10.5281/zenodo.10730798
title: Freshwater fish species distribution in Spain

description: Database containing information on 40 freshwater fish species distribution across Spain at 1km grid cell resolution

1.  Main file: Species_distribution_UTM_prob1000.csv

The information was obtained through the development of Species Distribution Models using BIOMOD 2 (Thuiller et al. 2009) calibrated and validated on the most complete databases on fish occurrences across Spain.

The database contains in the rows all UTM1x1 km within the river network, as defined by Spanis Government (Ministerio para la Transición Ecológica), and for each species includes information on the habitat suitability derived from our models (ranging from 1-1000, being 1 low habitat suitability and 1000 high habitat suitability).

The projections of habitat suitability values were restricted to the hidrological basins within the natural distribution range for each species (i.e., in the hidrological basins where there was at least one presence occurence of the fish species). The hidrological basin used can be found here: https://www.miteco.gob.es/es/cartografia-y-sig/ide/descargas/agua/demarcaciones-hidrograficas-phc-2015-2021.aspx

For more information about the models, see: Lanzas et al., 2022

2. Species_code_information.csv included the relation between the code used in the main database and scientific name of the species

3. UTM zip file Shapefile with the grid cells. This is also available at: https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible/bdn-cart-aux-descargas-ccaa.html
DOI: 10.15468/dl.gs72cn
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rana pyrenaica Serra-Cobo, 1993"
 ]
}

 The dataset includes 103 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004440-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwf9rw
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Brycon dulcis Lima & Vieira, 2017"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066195-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974088
title: Control of Charge-Spin Interconversion in van der Waals Heterostructures with Chiral Charge Density Waves
DOI: 10.5281/zenodo.10974089
title: Control of Charge-Spin Interconversion in van der Waals Heterostructures with Chiral Charge Density Waves
DOI: 10.5281/zenodo.10974990
title: Dataset criptomonedas con datos actuales e historicos
DOI: 10.5281/zenodo.10974991
title: Dataset criptomonedas con datos actuales e historicos
DOI: 10.5281/zenodo.10853412
title: 3DED data of benzamide

description: 3DED data of commerically obtained benzamide (recrystallised from ethanol) were collected using continuous rotation in selected area mode. The table below summarizes generic data collection parameters for the datacollections.

 

change from v1: addition of 3 more datasets (exp_590, exp_598, exp_604) all from the same grid as exp_599 from which was left unaltered from v1.




General information
 


Project
 


Project label
 


Sample label
NEDFSO_0021


Collection site
University of Southampton, NCS


 
 


Instrumental
 


Instrument
Rigaku XtaLAB Synergy-ED, electron diffractometer


Radiation source
LaB6


Accelerating voltage [kV]
200


Wavelength [Å]
0.02510


Probe type
Parallel beam


Beam diameter
 


Beam convergence
Parallel beam


Detector
Rigaku HyPix-ED, hybrid pixel array detector


Number of pixels in the image
775 x 385


Pixel size [µm]
100


Hardware binning
1


 
 


Sample description
 


Name
benzamide


Chemical composition
C7 H7 O N


Sample source
commercial (Sigma Aldrich 135828), recrystallised from ethanol


Grid
Agar Scientific lacey carbon coated copper grid 200 mesh


Sample preparation
solid sample gently ground in mortar and pestle, dispersed between microscopy glass slides, grid tapped on solid, cryo transfer @ 175 K


Sample holder
GATAN Elsa cryo-transfer holder 698


 
 


Experimental
 


Data type
Electron diffraction data - 3DED


Data collection method
continuous rotation  - cRED


Collection temperature [K]
175


 
 


Software
 


Software used for the data collection
CrysAlisPro 1.171.43.109a


Software used for processing
CrysAlisPro 1.171.43.114a


 
 


Files and data formats
 


Image folders
./frames/xxx.rodhypix./frames/PETS_exp_599/frames/xxx.tiff


Image format
.rodhypix (Rigaku proprietary image format).tiff (16bit, converted with CrysAlisPro 1.171.43.114a)


Additional files


CrysAlisPro input files:./expinfo/./CrysalisExpSettings.ini./exp_599.par./exp_599.run./new.ccd

PETS2 (http://pets.fzu.cz/) input file:./frames/PETS_exp_599/exp_599.pts2

Crystal Image:./exp_599_microed_grain_snapshot.jpg
DOI: 10.5281/zenodo.10973236
title: 3DED data of benzamide

description: 3DED data of commerically obtained benzamide (recrystallised from ethanol) were collected using continuous rotation in selected area mode. The table below summarizes generic data collection parameters for the datacollections.

 

change from v1: addition of 3 more datasets (exp_590, exp_598, exp_604) all from the same grid as exp_599 from which was left unaltered from v1.




General information
 


Project
 


Project label
 


Sample label
NEDFSO_0021


Collection site
University of Southampton, NCS


 
 


Instrumental
 


Instrument
Rigaku XtaLAB Synergy-ED, electron diffractometer


Radiation source
LaB6


Accelerating voltage [kV]
200


Wavelength [Å]
0.02510


Probe type
Parallel beam


Beam diameter
 


Beam convergence
Parallel beam


Detector
Rigaku HyPix-ED, hybrid pixel array detector


Number of pixels in the image
775 x 385


Pixel size [µm]
100


Hardware binning
1


 
 


Sample description
 


Name
benzamide


Chemical composition
C7 H7 O N


Sample source
commercial (Sigma Aldrich 135828), recrystallised from ethanol


Grid
Agar Scientific lacey carbon coated copper grid 200 mesh


Sample preparation
solid sample gently ground in mortar and pestle, dispersed between microscopy glass slides, grid tapped on solid, cryo transfer @ 175 K


Sample holder
GATAN Elsa cryo-transfer holder 698


 
 


Experimental
 


Data type
Electron diffraction data - 3DED


Data collection method
continuous rotation  - cRED


Collection temperature [K]
175


 
 


Software
 


Software used for the data collection
CrysAlisPro 1.171.43.109a


Software used for processing
CrysAlisPro 1.171.43.114a


 
 


Files and data formats
 


Image folders
./frames/xxx.rodhypix./frames/PETS_exp_599/frames/xxx.tiff


Image format
.rodhypix (Rigaku proprietary image format).tiff (16bit, converted with CrysAlisPro 1.171.43.114a)


Additional files


CrysAlisPro input files:./expinfo/./CrysalisExpSettings.ini./exp_599.par./exp_599.run./new.ccd

PETS2 (http://pets.fzu.cz/) input file:./frames/PETS_exp_599/exp_599.pts2

Crystal Image:./exp_599_microed_grain_snapshot.jpg
DOI: 10.5281/zenodo.10974779
title: 3DED data of L-histidine

description: 3DED data of commerically obtained L-histidine monohydrochloride monohydrate were collected using continuous rotation in selected area mode. The table below summarizes generic data collection parameters for the data collections.

 




Project
 


Project label
 


Sample label
NEDFSO_0023


Collection site
University of Southampton, NCS


 
 


Instrumental
 


Instrument
Rigaku XtaLAB Synergy-ED, electron diffractometer


Radiation source
LaB6


Accelerating voltage [kV]
200


Wavelength [Å]
0.02510


Probe type
Parallel beam


Beam diameter
 


Beam convergence
Parallel beam


Detector
Rigaku HyPix-ED, hybrid pixel array detector


Number of pixels in the image
775 x 385


Pixel size [µm]
100


Hardware binning
1


 
 


Sample description
 


Name
L-histidine monohydrochloride monohydrate


Chemical composition
C6H9N3O2 · HCl · H2O


Sample source
commercial


Grid
Agar Scientific holey carbon coated copper grid 200 mesh


Sample preparation
solid sample ground with mortar and pestle, dispersed between microscopy glass slides, grid tapped on solid, cryo transfer @ 175 K


Sample holder
GATAN Elsa cryo-transfer holder 698


 
 


Experimental
 


Data type
Electron diffraction data - 3DED


Data collection method
continuous rotation  - cRED


Collection temperature [K]
175


 
 


Software
 


Software used for the data collection
CrysAlisPro 1.171.43.112a


Software used for processing
CrysAlisPro 1.171.43.119a


 
 


Files and data formats
 


Image folders
./frames/xxx.rodhypix./frames/PETS_exp_705/frames/xxx.tiff


Image format
.rodhypix (Rigaku proprietary image format).tiff (16bit, converted with CrysAlisPro 1.171.43.119a)


Additional files


CrysAlisPro input files:./expinfo/./CrysalisExpSettings.ini./exp_705.par./exp_705.run./new.ccd

PETS2 (http://pets.fzu.cz/) input file:./frames/PETS_exp_705/exp_705.pts2

Crystal Image:./exp_705_microed_grain_snapshot.jpg