cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15472/wt0elp
title: Conjunto de datos de monitoreo acústico pasivo en la Reserva Natural Los Yátaros de Gachantivá, Boyacá, Colombia

description: El monitoreo acústico pasivo es una técnica en la cual son colocadas grabadoras con una programación particular de grabación sin que haya interferencia del observador. A pesar de su reciente interés, muchos lugares en el Neotrópico aún no cuentan con información sobre su actividad acústica. Presentamos un conjunto de datos de eventos de muestreo acústico pasivo realizados durante el primer semestre del 2020 en la Reserva Natural Los Yátaors a 6 km de Gachantivá, Boyacá, Andes orientales de Colombia. Los datos obtenidos al instalar seis grabadoras automáticas AudioMoth, dos en cada sitio de muestreo (n=3), con una programación de 1 minuto de grabación cada 30 minutos a lo largo de todo el día (00:00 – 23:30) para espectro audible (0 Hz – 16 kHz) y en las noches (16:30 – 06:00) para ultrasonido (hasta 192 kHz). El muestreo fue desarrollado desde el 1 de marzo hasta el 2 de mayo del 2020, acumulando un total 12447 grabaciones, 9055 de espectro audible y 3392 de ultrasonido.
DOI: 10.5281/zenodo.3901830
title: Mapas de distribución de especies para Proyecto "Elaboración de un catastro y registro de especies ícticas y de flora y fauna bentónica marina, Zonas Centro y Norte de Chile, para la evaluación ambiental de proyectos en el marco SEIA"

description: Mapas de distribución de especies para Proyecto “Elaboración de un catastro y registro de especies ícticas y de flora y fauna bentónica marina, Zonas Centro y Norte de Chile, para la evaluación ambiental de proyectos en el marco SEIA”<br> FIPA N°2019-10. EJECUTOR: DEPARTAMENTO DE ZOOLOGÍA, UNIVERSIDAD DE CONCEPCIÓN<br> REQUIRENTE : FONDO DE INVESTIGACIÓN PESQUERA
DOI: 10.5281/zenodo.3901829
title: Mapas de distribución de especies para Proyecto "Elaboración de un catastro y registro de especies ícticas y de flora y fauna bentónica marina, Zonas Centro y Norte de Chile, para la evaluación ambiental de proyectos en el marco SEIA"

description: Mapas de distribución de especies para Proyecto “Elaboración de un catastro y registro de especies ícticas y de flora y fauna bentónica marina, Zonas Centro y Norte de Chile, para la evaluación ambiental de proyectos en el marco SEIA”<br> FIPA N°2019-10. EJECUTOR: DEPARTAMENTO DE ZOOLOGÍA, UNIVERSIDAD DE CONCEPCIÓN<br> REQUIRENTE : FONDO DE INVESTIGACIÓN PESQUERA
DOI: 10.15472/ocpi3r
title: Muestreo pasivo con sensores acústicos de la Colección de Sonidos Ambientales del Instituto Humboldt (IAvH-CSA) realizado entre el 2018 y 2019 en Colombia

description: Presentamos la información relacionada con los eventos de muestreo acústico pasivo depositados en la Colección de Sonidos Ambientales (IAvH-CSA) del Instituto Humboldt, durante los años 2018-2019. Los eventos de muestreo acústico se generaron en el marco de los proyectos Colombia BIO, Santander BIO, Boyacá BIO, Lizama, Riqueza Natural y ocasionales recolectados durante este período de tiempo. En total se integran 44704 eventos de muestreo que corresponden a 1 minuto de grabación automática tomada a una tasa de muestreo de 44.1 kHz y 16 bits de resolución. El esquema de grabación corresponde a 1 minuto de sonidos ambientales cada 5, 10 o 30 minutos durante todo el día, con una duración de 1 a 20 días de muestreo en 79 sitios a lo largo de Colombia. La cobertura geográfica incluye los departamentos de Bolívar, Boyacá, Caquetá, Cundinamarca, Meta, Santander y Sucre. Esta información se colecta en el marco de la metodología de monitoreo con sensores pasivos establecida por el Instituto Humboldt.
DOI: 10.5281/zenodo.3901828
title: Data repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate"

description: This is a repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate" at the Journal of Geophysical Research - Earth Surface. See the readme file for descriptions of the data contained in each file.
DOI: 10.5281/zenodo.3901827
title: Data repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate"

description: This is a repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate" at the Journal of Geophysical Research - Earth Surface. See the readme file for descriptions of the data contained in each file.
DOI: 10.18112/openneuro.ds002345.v1.1.0
title: Narratives
DOI: 10.5281/zenodo.3900994
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3900993
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3900996
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3900995
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.3886/e112836v1-25031
title: Replication data for: The Effect of Patient Cost Sharing on Utilization, Health, and Risk Protection

description: This paper exploits a sharp reduction in patient cost sharing at age 70 in Japan, using a regression discontinuity design to examine its effect on utilization, health, and financial risk arising from out-of-pocket expenditures. Due to the national policy, cost sharing is 60–80 percent lower at age 70 than at age 69. I find that both outpatient and inpatient care are price sensitive among the elderly. While I find little impact on mortality and other health outcomes, the results show that reduced cost sharing is associated with lower out-of-pocket expenditures, especially at the right tail of the distribution.
DOI: 10.3886/e112836v1-25033
title: Replication data for: The Effect of Patient Cost Sharing on Utilization, Health, and Risk Protection

description: This paper exploits a sharp reduction in patient cost sharing at age 70 in Japan, using a regression discontinuity design to examine its effect on utilization, health, and financial risk arising from out-of-pocket expenditures. Due to the national policy, cost sharing is 60–80 percent lower at age 70 than at age 69. I find that both outpatient and inpatient care are price sensitive among the elderly. While I find little impact on mortality and other health outcomes, the results show that reduced cost sharing is associated with lower out-of-pocket expenditures, especially at the right tail of the distribution.
DOI: 10.3886/e119827
title: Replication data for: Candidate Endorsement Effect: Attitude Change towards Party Platforms in the Era of Internet Democracy

description: The dataset measured the voter's evaluation of certain party platforms, candidates, and parties on the eve of the 2020 Taiwan presidential election. The purpose is to address the question of whether candidate endorsement would influence the formation of voters’ attitudes towards party platforms.
DOI: 10.3886/e119985
title: Pre-school mathematics learning trajectories

description: This paper applied dynamic measurement modeling to examine differences in students' learning rate and learning capacity in the context of a preschool mathematics intervention.
DOI: 10.3886/e119985v2
title: Pre-school mathematics learning trajectories

description: This paper applied dynamic measurement modeling to examine differences in students' learning rate and learning capacity in the context of a preschool mathematics intervention.
DOI: 10.3886/e119985v1
title: Pre-school mathematics learning trajectories

description: This paper applied dynamic measurement modeling to examine differences in students' learning rate and learning capacity in the context of a preschool mathematics intervention.
DOI: 10.3886/e119984v1
title: Data and Code for: Obsolescence of Capital and Investment Spikes

description: The prospect of capital obsolescence inhibits investment. Investors thus become more optimistic when the obsolescence of their capital slows down. We propose a model with no fixed costs of investment, and random technological progress that induces obsolescence of capital in place. Spikes occur precisely when technological progress slows down. Moreover, the more variable the progress, the larger are the spikes. Cross-industry data show that where price of capital declines are more variable, investment spikes are larger.
DOI: 10.3886/e119446v7
title: COVID-19 US State Policy Database

description: Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.5281/zenodo.3901846
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Stylianos Chatzimanolis, https://orcid.org/0000-0001-9008-0611. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17909/t9-9g3w-nd31
title: WFPC2 images of NGC 6210
DOI: 10.5281/zenodo.3901657
title: BDMYRepository/Paguroidea-Mollusca-Interactions

description: This database contains information regarding the use of shells (Mollusca) by hermit crabs (Paguroidea) from the Southern Gulf of Mexico and the Mexican Caribbean Sea. The information was obtained as part of the Biodiversity of the Southern Gulf of Mexico project of the Yucatan Marine Biodiversity Laboratory (UNAM) The material is deposited in the Yucatan Crustacean Collection (CCY). Esta base datos contiene información referente al uso de conchas (Mollusca) por parte de cangrejos ermitaños (Paguroidea) del sur del golfo de México y el mar caribe mexicano. La información fue obtenida como parte del proyecto Biodiversidad del Sur del Golfo de México del laboratorio Biodiversidad marina de Yucatán (UNAM). El material está depositado en la Colección de Crustáceos de Yucatán (CCY).
DOI: 10.5281/zenodo.3901557
title: BDMYRepository/Paguroidea-Mollusca-Interactions

description: This database contains information regarding the use of shells (Mollusca) by hermit crabs (Paguroidea) from the Southern Gulf of Mexico and the Mexican Caribbean Sea. The information was obtained as part of the Biodiversity of the Southern Gulf of Mexico project of the Yucatan Marine Biodiversity Laboratory (UNAM) The material is deposited in the Yucatan Crustacean Collection (CCY). Esta base datos contiene información referente al uso de conchas (Mollusca) por parte de cangrejos ermitaños (Paguroidea) del sur del golfo de México y el mar caribe mexicano. La información fue obtenida como parte del proyecto Biodiversidad del Sur del Golfo de México del laboratorio Biodiversidad marina de Yucatán (UNAM). El material está depositado en la Colección de Crustáceos de Yucatán (CCY).
DOI: 10.5281/zenodo.3901860
title: Earthquake Data around the Palu-Koro fault

description: This earthquake data is used in my paper about stress on the Palu-Koro fault.
DOI: 10.5519/qd.9appwxdy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.21227/9r41-4x79
title: Measles image dataset

description: The dataset contains rash images of 11 different disease states: Bowens disease, chickenpox, chigger bites, dermatofibroma, eczema, enterovirus, keratosis, measles, psoriasis, ringworm and scabies. Additionally, images of normal skin are also included in the dataset. In total, there are 158 images of the measles rash, and 1158 non-measles images present in the dataset. The dataset was used to develop adeep CNN model fordistinguishing the measles rash from other skin conditions.
DOI: 10.21227/nzcd-6j03
title: Measles image dataset

description: The dataset contains rash images of 11 different disease states: Bowens disease, chickenpox, chigger bites, dermatofibroma, eczema, enterovirus, keratosis, measles, psoriasis, ringworm and scabies. Additionally, images of normal skin are also included in the dataset. In total, there are 158 images of the measles rash, and 1158 non-measles images present in the dataset. The dataset was used to develop adeep CNN model fordistinguishing the measles rash from other skin conditions.
DOI: 10.5281/zenodo.3872138
title: The code and mathematical derivation associated with "The role of random vorticity stretching in an idealized tropical depression genesis problem"

description: 1. The "SWE.rar" is the shallow water model (SWE). 2. The "postprocess.rar" is the postprocessing code, include plottings and parameter estimation. 3. The hand-written mathematical derivation of this paper is made with ONENOTE. It can be found at: https://office365stanford-my.sharepoint.com/:o:/g/personal/haofu_stanford_edu/El0w-3bEQABDnEVScJH6CK8BYVtxF33RzjmeZTbgaPyU-g?e=wae0Ra 4. If there is any question or difficulty in downloading, please contact Hao Fu: haofu@stanford.edu
DOI: 10.5281/zenodo.3872137
title: The code and mathematical derivation associated with "The role of random vorticity stretching in an idealized tropical depression genesis problem"

description: 1. The "SWE.rar" is the shallow water model (SWE). 2. The "postprocess.rar" is the postprocessing code, include plottings and parameter estimation. 3. The hand-written mathematical derivation of this paper is made with ONENOTE. It can be found at: https://office365stanford-my.sharepoint.com/:o:/g/personal/haofu_stanford_edu/El0w-3bEQABDnEVScJH6CK8BYVtxF33RzjmeZTbgaPyU-g?e=wae0Ra 4. If there is any question or difficulty in downloading, please contact Hao Fu: haofu@stanford.edu
DOI: 10.5281/zenodo.2620497
title: The MATLAB code for "A kinematic model for understanding rain formation efficiency of a convective cell"

description: Please check the code for the 1D model and the plotting commands. Please start from main.m
DOI: 10.5281/zenodo.2620496
title: The MATLAB code for "A kinematic model for understanding rain formation efficiency of a convective cell"

description: Please check the code for the 1D model and the plotting commands. Please start from main.m
DOI: 10.17632/2vc4jtr3rg.1
title: Data for: One goal, different pathways: Apprehension of student diversity in achievement processes among first year at the university

description: Database used for the paper on multigroup analysis
DOI: 10.21227/0tr8-dp62
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Coronavirus (COVID-19) Tweets Dataset(200+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.Update: I have received a lot of requests, especially from Social Science researchers, to also make the geo-tagged tweets created between March 20, 2020, and April 28, 2020, available in this dataset. Hydrating the millions of tweet IDs may come as a tedious task for people with less technical expertise. Therefore, I have started hydrating the IDs provided in the Coronavirus (COVID-19) Tweets Dataset, and I will be sharing the geo-tagged tweets posted in between these dates as the hydration task goes on. Bookmark this page for further updates.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.7910/dvn/jv7fch/sntqkf
title: README.pdf

description: :unav
DOI: 10.7910/dvn/jv7fch/mbh2zf
title: REPLICATION.zip

description: Full replication code and data. Download and extract. See README.pdf for details.
DOI: 10.7910/dvn/jv7fch/ctukcm
title: REPLICATION.zip

description: All replication code and data in this file.
DOI: 10.7910/dvn/jv7fch/fkkkkc
title: README.pdf

description: :unav
DOI: 10.5281/zenodo.3901896
title: Aerial images and video records of the Kodor and Bzyp river plumes

description: Aerial images and video records of the Kodor and Bzyp river plumes that illustrate their various dynamical features
DOI: 10.5281/zenodo.3901895
title: Aerial images and video records of the Kodor and Bzyp river plumes

description: Aerial images and video records of the Kodor and Bzyp river plumes that illustrate their various dynamical features
DOI: 10.5281/zenodo.3900023
title: JGR2020OCN

description: The model outputs for Nakayama et al. (2020)
DOI: 10.5281/zenodo.3900022
title: JGR2020OCN

description: The model outputs for Nakayama et al. (2020)
DOI: 10.5281/zenodo.3900032
title: JGR2020BGS

description: The model outputs for Lin et al. (2020)
DOI: 10.5281/zenodo.3900031
title: JGR2020BGS

description: The model outputs for Lin et al. (2020)
DOI: 10.21227/avqm-8h56
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Coronavirus (COVID-19) Tweets Dataset(200+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.Update: I have received a lot of requests, especially from Social Science researchers, to also make the geo-tagged tweets created between March 20, 2020, and April 28, 2020, available in this dataset. Hydrating the millions of tweet IDs may come as a tedious task for people with less technical expertise. Therefore, I have started hydrating the IDs provided in the Coronavirus (COVID-19) Tweets Dataset, and I will be sharing the geo-tagged tweets posted in between these dates as the hydration task goes on. Bookmark this page for further updates.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.5281/zenodo.3901570
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3901569
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.21227/7xyt-9z46
title: Spoken Indian Language Identification

description: Spoken Indian Language Identifcation (9 languages, 8 different utterance lengths)
DOI: 10.21227/jgf0-3k92
title: Spoken Indian Language Identification

description: Spoken Indian Language Identifcation (9 languages, 8 different utterance lengths)
DOI: 10.21227/9n33-9p72
title: Spoken Indian Language Identification

description: Spoken Indian Language Identifcation (9 languages, 8 different utterance lengths)
DOI: 10.5281/zenodo.3878176
title: STILNOVO project (Sub.measure 16.2 RDP Tuscany Region 2014-2020)

description: Dataset of pasture production and quality and milk production and quality of a rotational grazing trial carried out in 2018 in south Tuscany.
DOI: 10.5281/zenodo.3901999
title: STILNOVO project (Sub.measure 16.2 RDP Tuscany Region 2014-2020)

description: Dataset of pasture production and quality and milk production and quality of a rotational grazing trial carried out in 2018 in south Tuscany.
DOI: 10.5281/zenodo.3900030
title: WRR2020

description: The model outputs for Nakayama et al. (2020)
DOI: 10.5519/qd.wt3cn18i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (794 records)