cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6448766
title: La Dansa Confinada

description: El nostre dataset recull tots els articles publicats al blog del Mercat de les Flors sota la categoria “Reflexions entorn d’un confinament”, incloent-hi la data de publicació, el títol de l’article, el text complet, una frase destacada del text, i la imatge que il·lustra l’article. Aquest dataset podria ser un punt de partida per estudiar com van viure el confinament causat per la pandèmia de la covid-19 els professionals de la dansa, que es duria a terme mitjançant tècniques de Processament del Llenguatge Natural a partir de l’anàlisi dels textos escrits i publicats els mesos de maig i juny de 2020. A més del text complet de l’article, la frase destacada a la pàgina principal per a cadascun d’ells resumeix ja el caire de cada article.
DOI: 10.6084/m9.figshare.19576555
title: Data.zip

description: For the present review, we searched the specific sites on Google scholar. The inclusion criteria were documents written in English or Spanish, published during the last 20 years. The agricultural irrigation district was created using the public data and is available in this file with the name "DR_Golfo_de_california" the aquaculture shrimps ponds are data created by using remote sensing and are available by reasonable request‘
DOI: 10.6084/m9.figshare.19576555.v1
title: Data.zip

description: For the present review, we searched the specific sites on Google scholar. The inclusion criteria were documents written in English or Spanish, published during the last 20 years. The agricultural irrigation district was created using the public data and is available in this file with the name "DR_Golfo_de_california" the aquaculture shrimps ponds are data created by using remote sensing and are available by reasonable request‘
DOI: 10.34740/kaggle/dsv/3444523
title: ECB speeches etc. 1997 to 2022-04-11
DOI: 10.5517/ccdc.csd.cc2bgw1r
title: CCDC 2159244: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw3t
title: CCDC 2159246: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw4v
title: CCDC 2159247: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw5w
title: CCDC 2159248: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw6x
title: CCDC 2159249: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw7y
title: CCDC 2159250: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw8z
title: CCDC 2159251: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgw90
title: CCDC 2159252: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwb1
title: CCDC 2159253: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwc2
title: CCDC 2159254: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwd3
title: CCDC 2159255: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwf4
title: CCDC 2159256: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwnc
title: CCDC 2159263: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwpd
title: CCDC 2159264: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwqf
title: CCDC 2159265: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwrg
title: CCDC 2159266: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgwsh
title: CCDC 2159267: Experimental Crystal Structure Determination

description: Related Article: Ömer Seven, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgxmc
title: CCDC 2159293: Experimental Crystal Structure Determination

description: Related Article: Alexandra Budanow, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bh1vr
title: CCDC 2159424: Experimental Crystal Structure Determination

description: Related Article: Steffen Pospiech, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bh253
title: CCDC 2159434: Experimental Crystal Structure Determination

description: Related Article: Andreas Diehl, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5281/zenodo.6449028
title: Miami Heat Play by Play Games (March 2022)

description: Dataset generado para la PRA1 de Tipología y Ciclo de Vida de los Datos
DOI: 10.5281/zenodo.6449027
title: Miami Heat Play by Play Games (March 2022)

description: Dataset generado para la PRA1 de Tipología y Ciclo de Vida de los Datos
DOI: 10.6084/m9.figshare.19572889
title: ACP-2021-740

description: Vertical profiles of aerosol extinction coeffcient, particulate depolarisation,and aerosol-induced atmospheric heating rate.
DOI: 10.6084/m9.figshare.19572889.v1
title: ACP-2021-740

description: The Climatological data set of aerosol extinction coeffcient, and Particulate Depolarisation Ratio from CALIOP. Assimilated SSA datasets from Pathak et al., 2019. Output from SBDART radiative transfer model.
DOI: 10.5281/zenodo.6448786
title: Obesity, Suicides and Unemployment by Country

description: This dataset contains data about obesity, suicides and unemployment segregated by Country. The sources of data are wikipedia tables as updated on 11/04/2022. More information can be found in project's github: <strong>https://github.com/martinsanc/wikipedia_scraper</strong> <strong>Países (List of countries by population (United Nations) - Wikipedia)</strong> <strong>Country</strong> <strong>UN continental region</strong> <strong>UN statistical subregion</strong> <strong>Population 1 July 2018</strong> <strong>Population 1 July 2019</strong> <strong>Change</strong> <strong>Desempleo (List of countries by unemployment rate - Wikipedia)</strong> <strong>Unemployment Rate</strong> <strong>Sourcedate of information</strong> <strong>Suicidios (List of countries by suicide rate - Wikipedia)</strong> <strong>All</strong> <strong>Male</strong> <strong>Female</strong> <strong>Tasa de obesidad por país (List of countries by suicide rate - Wikipedia)</strong> <strong>Rank</strong> <strong>Obesity rate</strong>
DOI: 10.5281/zenodo.6448785
title: Obesity, Suicides and Unemployment by Country

description: This dataset contains data about obesity, suicides and unemployment segregated by Country. The sources of data are wikipedia tables as updated on 11/04/2022. More information can be found in project's github: <strong>https://github.com/martinsanc/wikipedia_scraper</strong> <strong>Países (List of countries by population (United Nations) - Wikipedia)</strong> <strong>Country</strong> <strong>UN continental region</strong> <strong>UN statistical subregion</strong> <strong>Population 1 July 2018</strong> <strong>Population 1 July 2019</strong> <strong>Change</strong> <strong>Desempleo (List of countries by unemployment rate - Wikipedia)</strong> <strong>Unemployment Rate</strong> <strong>Sourcedate of information</strong> <strong>Suicidios (List of countries by suicide rate - Wikipedia)</strong> <strong>All</strong> <strong>Male</strong> <strong>Female</strong> <strong>Tasa de obesidad por país (List of countries by suicide rate - Wikipedia)</strong> <strong>Rank</strong> <strong>Obesity rate</strong>
DOI: 10.6084/m9.figshare.17013907.v1
title: Development of the Canadian Spinal Cord Injury Best Practice (Can-SCIP) Guideline: Methods and overview

description: Spinal cord injury (SCI) is a life-altering injury that leads to a complex constellation of changes in an individual’s sensory, motor, and autonomic function which is largely determined by the level and severity of cord impairment. Available SCI-specific clinical practice guidelines (CPG) address specific impairments, health conditions or a segment of the care continuum, however, fail to address all the important clinical questions arising throughout an individual’s care journey. To address this gap, an interprofessional panel of experts in SCI convened to develop the Canadian Spinal Cord Injury Best Practice (Can-SCIP) Guideline. This article provides an overview of the methods underpinning the Can-SCIP Guideline process. The Can-SCIP Guideline was developed using the Guidelines Adaptation Cycle. A comprehensive search for existing SCI-specific CPGs was conducted. The quality of eligible CPGs was evaluated using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument. An expert panel (<i>n</i> = 52) convened, and groups of relevant experts met to review and recommend adoption or refinement of existing recommendations or develop new recommendations based on evidence from systematic reviews conducted by the Spinal Cord Injury Research Evidence (SCIRE) team. The expert panel voted to approve selected recommendations using an online survey tool. The Can-SCIP Guideline includes 585 total recommendations from 41 guidelines, 96 recommendations that pertain to the Components of the Ideal SCI Care System section, and 489 recommendations that pertain to the Management of Secondary Health Conditions section. Most recommendations (<i>n</i> = 281, 48%) were adopted from existing guidelines without revision, 215 (36.8%) recommendations were revised for application in a Canadian context, and 89 recommendations (15.2%) were created <i>de novo</i>. The Can-SCIP Guideline is the first living comprehensive guideline for adults with SCI in Canada across the care continuum.
DOI: 10.6084/m9.figshare.17013907
title: Development of the Canadian Spinal Cord Injury Best Practice (Can-SCIP) Guideline: Methods and overview

description: Spinal cord injury (SCI) is a life-altering injury that leads to a complex constellation of changes in an individual’s sensory, motor, and autonomic function which is largely determined by the level and severity of cord impairment. Available SCI-specific clinical practice guidelines (CPG) address specific impairments, health conditions or a segment of the care continuum, however, fail to address all the important clinical questions arising throughout an individual’s care journey. To address this gap, an interprofessional panel of experts in SCI convened to develop the Canadian Spinal Cord Injury Best Practice (Can-SCIP) Guideline. This article provides an overview of the methods underpinning the Can-SCIP Guideline process. The Can-SCIP Guideline was developed using the Guidelines Adaptation Cycle. A comprehensive search for existing SCI-specific CPGs was conducted. The quality of eligible CPGs was evaluated using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument. An expert panel (<i>n</i> = 52) convened, and groups of relevant experts met to review and recommend adoption or refinement of existing recommendations or develop new recommendations based on evidence from systematic reviews conducted by the Spinal Cord Injury Research Evidence (SCIRE) team. The expert panel voted to approve selected recommendations using an online survey tool. The Can-SCIP Guideline includes 585 total recommendations from 41 guidelines, 96 recommendations that pertain to the Components of the Ideal SCI Care System section, and 489 recommendations that pertain to the Management of Secondary Health Conditions section. Most recommendations (<i>n</i> = 281, 48%) were adopted from existing guidelines without revision, 215 (36.8%) recommendations were revised for application in a Canadian context, and 89 recommendations (15.2%) were created <i>de novo</i>. The Can-SCIP Guideline is the first living comprehensive guideline for adults with SCI in Canada across the care continuum.
DOI: 10.6084/m9.figshare.17013913.v1
title: Identifying cases of spinal cord injury or disease in a primary care electronic medical record database

description: To identify cases of spinal cord injury or disease (SCI/D) in an Ontario database of primary care electronic medical records (EMR). A reference standard of cases of chronic SCI/D was established via manual review of EMRs; this reference standard was used to evaluate potential case identification algorithms for use in the same database. Electronic Medical Records Primary Care (EMRPC) Database, Ontario, Canada. A sample of 48,000 adult patients was randomly selected from 213,887 eligible patients in the EMRPC database. N/A. Candidate algorithms were evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F-score. 126 cases of chronic SCI/D were identified, forming the reference standard. Of these, 57 were cases of traumatic spinal cord injury (TSCI), and 67 were cases of non-traumatic spinal cord injury (NTSCI). The optimal case identification algorithm used free-text keyword searches and a physician billing code, and had 70.6% sensitivity (61.9–78.4), 98.5% specificity (97.3–99.3), 89.9% PPV (82.2–95.0), 94.7% NPV (92.8–96.3), and an F-score of 79.1. Identifying cases of chronic SCI/D from a database of primary care EMRs using free-text entries is feasible, relying on a comprehensive case definition. Identifying a cohort of patients with SCI/D will allow for future study of the epidemiology and health service utilization of these patients.
DOI: 10.6084/m9.figshare.17013913
title: Identifying cases of spinal cord injury or disease in a primary care electronic medical record database

description: To identify cases of spinal cord injury or disease (SCI/D) in an Ontario database of primary care electronic medical records (EMR). A reference standard of cases of chronic SCI/D was established via manual review of EMRs; this reference standard was used to evaluate potential case identification algorithms for use in the same database. Electronic Medical Records Primary Care (EMRPC) Database, Ontario, Canada. A sample of 48,000 adult patients was randomly selected from 213,887 eligible patients in the EMRPC database. N/A. Candidate algorithms were evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F-score. 126 cases of chronic SCI/D were identified, forming the reference standard. Of these, 57 were cases of traumatic spinal cord injury (TSCI), and 67 were cases of non-traumatic spinal cord injury (NTSCI). The optimal case identification algorithm used free-text keyword searches and a physician billing code, and had 70.6% sensitivity (61.9–78.4), 98.5% specificity (97.3–99.3), 89.9% PPV (82.2–95.0), 94.7% NPV (92.8–96.3), and an F-score of 79.1. Identifying cases of chronic SCI/D from a database of primary care EMRs using free-text entries is feasible, relying on a comprehensive case definition. Identifying a cohort of patients with SCI/D will allow for future study of the epidemiology and health service utilization of these patients.
DOI: 10.5281/zenodo.6449233
title: ecommerce_products_dataset

description: Parte de la PRA1 de la asignatura "Tipologia y ciclo de vida de los datos" del Master Universitario en Ciencia de Datos de la Universidad Oberta de Cataluña.
DOI: 10.5281/zenodo.6449232
title: ecommerce_products_dataset

description: Parte de la PRA1 de la asignatura "Tipologia y ciclo de vida de los datos" del Master Universitario en Ciencia de Datos de la Universidad Oberta de Cataluña.
DOI: 10.5517/ccdc.csd.cc2897nh
title: CCDC 2094256: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897pj
title: CCDC 2094257: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897qk
title: CCDC 2094258: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897rl
title: CCDC 2094259: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897sm
title: CCDC 2094260: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897tn
title: CCDC 2094261: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897vp
title: CCDC 2094262: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc2897wq
title: CCDC 2094263: Experimental Crystal Structure Determination

description: Related Article: Alexey N. Bilyachenko, Grigorii S. Astakhov, Alena N. Kulakova, Alexander A. Korlyukov, Yan V. Zubavichus, Pavel V. Dorovatovskii, Lidia S. Shul’pina, Elena S. Shubina, Nikolay S. Ikonnikov, Marina V. Kirillova, Anna Y. Zueva, Alexander M. Kirillov, Georgiy B. Shul’pin|2022|Cryst.Growth Des.|22|2146|doi:10.1021/acs.cgd.1c01225
DOI: 10.5517/ccdc.csd.cc293tpy
title: CCDC 2118840: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc293wcp
title: CCDC 2118892: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc293y2g
title: CCDC 2118945: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc2941l3
title: CCDC 2119054: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc2941m4
title: CCDC 2119055: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc2941n5
title: CCDC 2119056: Experimental Crystal Structure Determination

description: Related Article: Honglei Ling, Duncan J. McGillivray, Jianyong Jin|2022|J.Org.Chem.|87|4649|doi:10.1021/acs.joc.1c03048
DOI: 10.5517/ccdc.csd.cc29ydzn
title: CCDC 2143432: Experimental Crystal Structure Determination

description: Related Article: Jiajia Ye, Marike du Plessis, Leigh Loots, Lisa Mercene van Wyk, Leonard J. Barbour|2022|Cryst.Growth Des.|22|2654|doi:10.1021/acs.cgd.2c00082
DOI: 10.5517/ccdc.csd.cc29yf0q
title: CCDC 2143433: Experimental Crystal Structure Determination

description: Related Article: Jiajia Ye, Marike du Plessis, Leigh Loots, Lisa Mercene van Wyk, Leonard J. Barbour|2022|Cryst.Growth Des.|22|2654|doi:10.1021/acs.cgd.2c00082
DOI: 10.5517/ccdc.csd.cc29yf1r
title: CCDC 2143434: Experimental Crystal Structure Determination

description: Related Article: Jiajia Ye, Marike du Plessis, Leigh Loots, Lisa Mercene van Wyk, Leonard J. Barbour|2022|Cryst.Growth Des.|22|2654|doi:10.1021/acs.cgd.2c00082
DOI: 10.5066/p9908rvh
title: Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

description: During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D magnetotelluic model and regional stress data to generate geothermal resource favorability maps to inform future exploration and drilling efforts by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR).
DOI: 10.5066/p9mwe68l
title: Refined principal aquifer boundaries for New Mexico, United States

description: This polygon vector dataset, delineating principal aquifers in New Mexico, is a clipped and refined version of the original principal aquifers of the United States shapefile (U.S. Geological Survey, 2019).
DOI: 10.5281/zenodo.6449297
title: Catálogo de publicaciones del e-commerce de Alita Cómics

description: En este dataset se presenta el catálogo de publicaciones ofrecidas por la web de Alita Cómics a principios de abril de 2022. En el mismo se facilitan diversos campos de cada uno de los artículos para su análisis.
DOI: 10.5281/zenodo.6436942
title: Catálogo de publicaciones del e-commerce de Alita Cómics

description: En este dataset se presenta el catálogo de publicaciones ofrecidas por la web de Alita Cómics a principios de abril de 2022. En el mismo se facilitan diversos campos de cada uno de los artículos para su análisis.