cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6e326e
title: Occurrence Download

description: A dataset containing 53106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica nigra (L.) W.D.J.Koch"
 ]
}

 The dataset includes 53106 records from 929 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009231-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14790323
title: Trans-ancestry genome-wide association study of kidney stone disease identifies new susceptibility loci and improves risk prediction and fine-mapping
DOI: 10.5281/zenodo.14790324
title: Trans-ancestry genome-wide association study of kidney stone disease identifies new susceptibility loci and improves risk prediction and fine-mapping
DOI: 10.15468/dl.k9jdyq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lolium perenne Aitch., 1882"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009232-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2xfge
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica nigra (L.) Andrz."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009233-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4msrke
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca rubra × Lolium perenne"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009234-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ks3xn
title: Occurrence Download

description: A dataset containing 1799 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica nigra (L.) K.Koch"
 ]
}

 The dataset includes 1799 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009235-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gapd3y
title: Occurrence Download

description: A dataset containing 128256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser indicus (Latham, 1790)"
 ]
}

 The dataset includes 128256 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009228-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uar2rs
title: Occurrence Download

description: A dataset containing 936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrolamprus melanotus (Shaw, 1802)"
 ]
}

 The dataset includes 936 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009236-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mspacw
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lolium perenne × Schedonorus arundinaceus"
 ]
}

 The dataset includes 127 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009237-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntcue3
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser indicus x caerulescens"
 ]
}

 The dataset includes 55 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009238-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxdytx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica carinata × nigra"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009239-250127130748423/datasets/export for details.
DOI: 10.15468/dl.qdzs22
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lolium perenne x Schedonorus pratensis"
 ]
}

 The dataset includes 494 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009240-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zyknb
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser indicus x Branta canadensis"
 ]
}

 The dataset includes 164 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009241-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6za98j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica integrifolia × nigra"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009242-250127130748423/datasets/export for details.
DOI: 10.22008/fk2/g06yck/2hzira
title: Specter_utils-checkpoint.py

description: :unav
DOI: 10.22008/fk2/g06yck/5fxwet
title: SquareTriangle_utils.cpython-310.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/5iqq7y
title: Plot_Penrose_Tiling_UniqueVertices.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/6b0jhm
title: SquareTriangle_utils-checkpoint.py

description: :unav
DOI: 10.22008/fk2/g06yck/7kktmb
title: Specter_utils.cpython-310.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/8vucs6
title: Plot_Save_UniqueVertices_Chrial_Specter-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/a9kzyu
title: Save_SquareTriangle_vertices_from_polygon_to_text_KML_ARF-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/armqkb
title: Polygone_small.kml

description: :unav
DOI: 10.22008/fk2/g06yck/auileq
title: Plot_Penrose_Tiling_UniqueVertices-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/bhfdda
title: Plot_Chiral_Specter_Tiling_Fig1.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/c6jlj3
title: Beam_SquareArray_SingleSource_1_8_Stations.svg

description: :unav
DOI: 10.22008/fk2/g06yck/ecluif
title: SquareTriangle_utils.cpython-311.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/ehh6ot
title: Save_Chrial_Specter_Vertices_from_Polygon_to_KML_ARF.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/fvlnor
title: ARF_utils-checkpoint.py

description: :unav
DOI: 10.22008/fk2/g06yck/gi1aik
title: Save_Multiple_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/hisccb
title: Beam_SquareArray_SingleSource_1_11_Stations.svg

description: :unav
DOI: 10.22008/fk2/g06yck/hxkany
title: Save_Chrial_Specter_Vertices_from_Polygon_to_KML_ARF-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/hzqudq
title: Specter_utils.cpython-311.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/ikjkgm
title: Save_Penrose_Extract_UniqueVertices_to_text_and_KML_ARF.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/j6i4ph
title: Tile_P_utils.cpython-39.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/jejctv
title: Plot_Tile_P_Tilings_Fig1-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/jeraj8
title: Save_SquareTriangle_vertices_from_polygon_to_text_KML_ARF.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/jpjq8p
title: Save_Single_TileP_UniqueVertices_to_Textfile.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/l64l88
title: Specter_utils.cpython-39.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/lr6rgn
title: Tile_P_utils.cpython-311.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/n4pbf9
title: Polygone_large.kml

description: :unav
DOI: 10.22008/fk2/g06yck/omhag3
title: Tile_P_utils.cpython-310.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/oyipot
title: SquareArray_Map_8_11_Stations.svg

description: :unav
DOI: 10.22008/fk2/g06yck/puoppw
title: Save_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML_ARF.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/q9nlyu
title: Save_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML_ARF-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/rf5ovj
title: PenroseTiling_utils.py

description: :unav
DOI: 10.22008/fk2/g06yck/rhg4jx
title: Dense_Array_PolyProject.kml

description: :unav
DOI: 10.22008/fk2/g06yck/rmqkym
title: ARF_utils.cpython-310.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/syvhpi
title: Tile_P_utils.py

description: :unav
DOI: 10.22008/fk2/g06yck/txwzrk
title: SquareTriangle_utils.cpython-39.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/u6dnyh
title: LICENSE

description: :unav
DOI: 10.22008/fk2/g06yck/ukmiur
title: Specter_utils.py

description: :unav
DOI: 10.22008/fk2/g06yck/vc6csl
title: Circle_Poly.kml

description: :unav
DOI: 10.22008/fk2/g06yck/vjjvrv
title: Square_8sta.txt

description: :unav
DOI: 10.22008/fk2/g06yck/wpkfby
title: Save_Penrose_Extract_UniqueVertices_to_text_and_KML_ARF-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/x6pmrx
title: Plot_Unique_Vertices_on_TileP.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/xkesxt
title: Square_Array_ARF_Fig2.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/xqt193
title: Square_11sta.txt

description: :unav
DOI: 10.22008/fk2/g06yck/zsveyd
title: ARF_utils.cpython-39.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/zv4y0o
title: Save_Single_TileP_UniqueVertices_to_Textfile-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/0soic0
title: ARF_utils.py

description: :unav
DOI: 10.22008/fk2/g06yck/1eopez
title: Plot_Unique_Vertices_on_TileP-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/76vsr5
title: Plot_Save_UniqueVertices_Chrial_Specter.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/avo0ql
title: Plot_Chiral_Specter_Tiling_Fig1-checkpoint.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/bpsdvl
title: Save_Multiple_TileP_Tiling_Extract_UniqueVertices_to_text_and_KML.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/cowqmm
title: PenroseTiling_utils-checkpoint.py

description: :unav
DOI: 10.22008/fk2/g06yck/f9v0vo
title: PenroseTiling_utils.cpython-39.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/gfzdau
title: ARF_utils.cpython-311.pyc

description: :unav
DOI: 10.22008/fk2/g06yck/iskty1
title: Tile_P_utils-checkpoint.py

description: :unav
DOI: 10.22008/fk2/g06yck/mdjjfy
title: README.md

description: :unav
DOI: 10.22008/fk2/g06yck/pjvhdl
title: Plot_Tile_P_Tilings_Fig1.ipynb

description: :unav
DOI: 10.22008/fk2/g06yck/t7sf4v
title: SquareTriangle_utils.py

description: :unav
DOI: 10.22008/fk2/g06yck/xogcyb
title: PenroseTiling_utils.cpython-311.pyc

description: :unav
DOI: 10.22008/fk2/g06yck
title: Aperiodic-Seismic-Arrays

description: Jupyter Notebooks to compute, plot and save as figures, text files or KML files several aperiodic tilings and layouts for seismic arrays Dependencies: numpy scipy matplotlib pandas scienceplots geopandas shapely pykml utm # UTM for converting between latitude/longitude and UTM coordinates simplekml # simplekml for creating KML files
DOI: 10.13012/b2idb-4197245_v1
title: Data for manuscript entitled "Optical Manipulation of the Charge Density Wave state in RbV3Sb5"

description: This dataset consists of all the figure files that are part of the main text and supplementary of the manuscript titled "Optical manipulation of the charge density wave state in RbV3Sb5". For detailed information on the individual files refer to the readme file.
DOI: 10.15468/dl.nf6rh3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus carcharias Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052772-240626123714530/datasets/export for details.
DOI: 10.17632/dztwpcmvny.1
title: BRT and PMR-Miller

description: Data for "Effectiveness of Behavioral Relaxation Training compared to Progressive Muscle Relaxation. A randomized controlled trail." Behavioral Relaxation Training (BRT) according to Poppen is a relaxation method based on applied behavior analysis. It involves training the participant in relaxed body postures. The participant receives feedback on these body postures and learns to adopt these positions over several sessions to quickly induce a state of relaxation. With the Behavioral Relaxation Scale (BRS), BRT also provides an objective measurement method through which the state of relaxation can be reliably assessed. Unfortunately, there are not many studies that demonstrate the effectiveness of BRT. In addition, there are few comparative studies between BRT and other, more common relaxation techniques. Progressive Muscle Relaxation (PMR) is one of the most widely used relaxation programs. Unlike BRT, PMR does not involve systematic feedback from the trainer. On the other hand, it can be used more easily in group settings. In the present study, 20 subjects were randomly assigned to one of two groups. After initial assessments, the participants took part either in BRT or PMR. BRS was taken at every session. BRT proved to be superior to PMR both in the treatment phase and in a subsequent follow-up phase. The subjective feeling of relaxation with the participants improved more in the BRT than in PMR group, too.
DOI: 10.15468/dl.ysdmtx
title: Occurrence Download

description: A dataset containing 3407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.04948 -22.54675,-68.91444 -22.54675,-68.91444 -22.4633,-69.04948 -22.4633,-69.04948 -22.54675))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3407 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052774-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64uyht
title: Occurrence Download

description: A dataset containing 29933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.87768 42.16729,-76.0893 42.16729,-76.0893 42.66466,-76.87768 42.66466,-76.87768 42.16729))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 29933 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052773-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub7r3x
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandalus nipponensis Yokoya, 1933",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052775-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5vh5cw0j
title: MassIVE MSV000095529 - Cardiomyocyte-specific NAMPT Knockout Mice: Untargeted Metabolomics from Heart Ventricle Tissues (dataset1)
title: Untargeted metabolomics from heart ventricular tissues of wild-type (WT) and cardiomyocyte-specific conditional NAMPT knockout (KO) mice, harvested at 8-weeks post-NAMPT deletion. Mass spectrometer was operated in both negative (NEG, 70 to 1000 m/z) and positive (POS, 50 to 117.9 m/z) ion mode with the HILIC 25-minute method for the detection of metabolites.
DOI: 10.15468/dl.6rp8nd
title: Occurrence Download

description: A dataset containing 3054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mugil cephalus Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3054 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052776-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm6ea4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mugil capurrii (Perugia, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052777-240626123714530/datasets/export for details.
DOI: 10.17632/gx5py3k45f.1
title: Navigating through cyberattacks: The role of tax aggressiveness

description: This research investigates the impact of cyberattacks on tax aggressiveness using a difference-in-differences analysis with a matched sample. We find that firms experiencing cyberattacks are more likely to have lower cash effective tax rates and greater discretionary book-tax differences. We further show that cyberattacks have a greater impact on corporate tax aggressiveness when firms are more exposed to financial distress. Additional analyses show tax aggressiveness increases less when firms are in states with enactments of notification laws and firms with ex ante higher cybersecurity investment. Our aggregate results suggest that firms take more tax risky positions in response to greater financial distress and information asymmetry, which are attributed to the consequences of cyberattacks.
DOI: 10.5281/zenodo.13243567
title: Cuestionario temático desarrollado en las entrevistas semiestructuradas

description: No.



TEMAS



RESPUESTAS





1.



Motivación hacia el aprendizaje



Yo estudio porque considero que nunca es tarde para aprender, para adquirir el título de bachiller, continuar con una carrera profesional y para acceder a mejores empleos.





2.



Razones para educarse



Quiero terminar mi educación para adultos porque quiero ser mejor persona, mejor padre, mejor líder, y porque quiero ser un ejemplo para mi familia.





3.



Aportes del aprendizaje integral



Necesitamos aprender cosas que nos ayuden a aceptarnos y querernos, tener más confianza en lo que hacemos, para valorarnos y autorreconocernos a nosotros mismos





4.



Proceso educativo exitoso



Lo que más me gusta de este programa es que además de obtener nuevos conocimientos, aprendemos cosas que nos sirven para nuestras vidas familiares y laborales, y para la convivencia en comunidad.





5.



Necesidad de interacción social



Considero muy importante que nos enseñen aprender a trabajar en equipo, a convivir y a colaborar con nuestros compañeros de clase y con nuestras comunidades.





6.



Aprovechar mejor el aprendizaje



Aprendemos más cuando los profesores preparan sus clases, cuando nos tratan mejor, cuando se nos enseñan con cariño, cuando el profesor muestra interés en nuestro aprendizaje.





7.



Expectativas de la enseñanza



Los profesores deberían tener claro que necesitamos progresar y avanzar como personas, transformar nuestras vidas pasadas, que se nos dé ejemplo de cómo y qué aprender, que contemos con el apoyo de estudiantes que aprenden más rápido.





8.



Ventajas de alternar los roles



Aprendemos mejor porque el profesor aprende a enseñar mejor mientras nos enseña y nos enseña a aprender y cuando nos da la oportunidad de enseñar a otros lo que aprendemos más pronto que ellos.





9.



Resolver necesidades colectivas



Aprender a entender las necesidades de los demás, a organizar la información que ellos aportan y a enseñarles a manifestar cómo se les puede ayudar, son las competencias que los estudiantes jóvenes y adultos consideran más importantes de su formación académica.





10.



Aprendizaje transformador



Además de las áreas básicas y fundamentales del conocimiento, las competencias que más les aporta para servir a su comunidad a las personas en extraedad son las de aprender a generar empleo y excedentes económicos para otros, aprender a manejar diferentes tecnologías y la informática y a defender el medio ambiente y los recursos naturales.





11.



Pensamiento complejo



Fuera de lo que aprendemos normalmente en las clases me gustaría que nos enseñen a analizar, a deducir, a resumir, a sintetizar, a opinar y a comunicar lo que aprendemos





12.



Generar proyectos sociales



Lo mejor de la educación flexible para adultos es aprender a diagnosticar problemas y necesidades, a proponer soluciones a esas necesidades y problemas, y a redactar propuestas de solución a necesidades y problemáticas humanas y sociales.