cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q6tmts
title: Occurrence Download

description: A dataset containing 14068714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14068714 records from 1660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006811-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231540
title: Replication data for: Uninsured Unemployment Risk and Optimal Monetary Policy in a Zero-Liquidity Economy

description: I study optimal monetary policy in a sticky-price economy wherein households precautionary-save against uninsured, endogenous unemployment risk. In this economy 
greater unemployment risk raises desired savings, causing aggregate demand to fall and feed back to greater unemployment risk. This deflationary spiral is constrained 
inefficient and calls for an accommodative monetary policy response: after a contractionary aggregate shock the policy rate should be kept significantly lower and for 
longer than in the perfect-insurance benchmark. For example, the usual prescription obtained under perfect insurance of a hike in the policy rate in the face of a bad 
supply (i.e., productivity or cost-push) shock is easily overturned. The optimal policy breaks the deflationary spiral and takes the dynamics of the imperfect-insurance 
economy close to that of the perfect-insurance benchmark. These results are derived in an economy with zero asset supply (zero liquidity) and are thus independent of 
any redistributive effect of monetary policy on household wealth.
DOI: 10.3886/e231540v1
title: Replication data for: Uninsured Unemployment Risk and Optimal Monetary Policy in a Zero-Liquidity Economy

description: I study optimal monetary policy in a sticky-price economy wherein households precautionary-save against uninsured, endogenous unemployment risk. In this economy 
greater unemployment risk raises desired savings, causing aggregate demand to fall and feed back to greater unemployment risk. This deflationary spiral is constrained 
inefficient and calls for an accommodative monetary policy response: after a contractionary aggregate shock the policy rate should be kept significantly lower and for 
longer than in the perfect-insurance benchmark. For example, the usual prescription obtained under perfect insurance of a hike in the policy rate in the face of a bad 
supply (i.e., productivity or cost-push) shock is easily overturned. The optimal policy breaks the deflationary spiral and takes the dynamics of the imperfect-insurance 
economy close to that of the perfect-insurance benchmark. These results are derived in an economy with zero asset supply (zero liquidity) and are thus independent of 
any redistributive effect of monetary policy on household wealth.
DOI: 10.7910/dvn/k7uypi
title: Replication Data for: "Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security"

description: Transaction fee mechanism (TFM) is an essential component of a blockchain protocol. However, a systematic evaluation of the real-world impact of TFMs is still absent. Using rich data from the Ethereum blockchain, mempool, and exchanges, we study the effect of EIP-1559, one of the first deployed TFMs that depart from the traditional first-price auction paradigm. We conduct a rigorous and comprehensive empirical study to examine its causal effect on blockchain transaction fee dynamics, transaction waiting time and security. Our results show that EIP-1559 improves the user experience by making fee estimation easier, mitigating intra-block difference of gas price paid, and reducing users' waiting times. However, EIP-1559 has only a small effect on gas fee levels and consensus security. In addition, we found that when Ether's price is more volatile, the waiting time is significantly higher. We also verify that a larger block size increases the presence of siblings. These findings suggest new directions for improving TFM.
DOI: 10.7910/dvn/mppyzr
title: To Democracy through Anocracy

description: Dataset for regime changes following a tripartite classification: democracy, anocracy and autocracy. The dataset is an aggregation of data from Polity IV, the World Bank's World Development Indicators and the Angus Maddison Project. We develop a world-wide trichotomous classification of political regime types that includes the intermediate category of anocracy between democracy and autocracy, as well as the subsequent hexachotomous typology of regime changes, from 1800 to 2013. We find six types of regime change: Partial opening (from autocracy to anocracy); complete opening (from anocracy to democracy); Transition (from autocracy to democracy); partial closing (from democracy to anocracy); Complete closing (from anocracy to autocracy); Breakdown (from democracy to autocracy)
DOI: 10.7910/dvn/zi05jt
title: Wright Casebook Edited; Docketed Case: 22,116
DOI: 10.7910/dvn/mcsuy3
title: Global 2050 Anopheles stephensi suitability for Plasmodium falciparum transmission at 97.5% CI (5 arc minutes), RCP 4.5, BCC-CSM1-1

description: This dataset contains the 2050 global distributed predicted number of months suitable for transmission of Plasmodium falciparum malaria by Anopheles stephensi mosquitoes per pixel (5 arc minutes - approximately 10km sq at the equator), under RCP 4.5, BCC-CSM1-1. Please refer to the accompanying publication for details.
DOI: 10.7910/dvn/nuoyw1
title: Data collection notes on challenges in the data collection for regional legislators for the South Aegean region

description: Contains information on data collection difficulties for the region of South Aegean.
description: PATHWAYS project
description: MS Word, null
DOI: 10.7910/dvn/9lujtd
title: Sample data for computing sea-level contribution from ice sheets

description: Here we provide datasets used in Figure 3 of our recent submission to The Cryosphere, doi: 10.5194/tc-2020-23
DOI: 10.7910/dvn/ejjaj6
title: Peasants, Patrons, and Parties: The Tension between Clientelism and Democracy in Nepal

description: In democratic elections, candidates and parties promise to deliver public goods to segments of the electorate to win their support at the polls. In new democracies, especially in rural agrarian societies, existing networks of clientelist politics can alter this logic, so that candidates instead promise private goods to patrons in return for those rural patrons delivering the votes of their clients. This suggests that in such regimes, the distribution of public goods spending by the government should vary inversely with the strength of clientelist networks. Specifically, we propose that the strength of patron–client ties varies according to whether peasants farm as smallholders, sharecroppers, fixed rent tenants, or landless laborers. Accordingly, the strength of rural patrons should vary across districts with the distribution of households among various land tenure categories. Our theory then suggests that where land tenure patterns render rural patrons weaker, elected governments should invest more resources in public goods to win the votes of peasants. Where land tenure patterns give patrons more control over peasant farmers, government spending on public goods should be lower because candidates and parties have to devote more resources to private benefits to the patrons. We test this proposition with district-level data from Nepal on the patterns of land tenure and on the provision of public goods.
DOI: 10.7910/dvn/khkurp
title: A00_13541.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9eda4643-d97c-cd3f-f8b4-950224e93d3c'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9eda4643-d97c-cd3f-f8b4-950224e93d3c
DOI: 10.7910/dvn/nrkap7
title: Uncover rock-climbing fish’s secret of balancing tight adhesion and fast sliding for bioinspired robots

description: This dataset contains all the original data of the paper “Uncover rock-climbing fish’s secret of balancing tight adhesion and fast sliding for bioinspired robots”
DOI: 10.7910/dvn/osvcrc
title: Replication Data for: Social Capital's Impact on COVID-19 Outcomes at Local Levels
title: Won't You Be My Neighbor? Uncovering ties between Social Capital and COVID-19 Outcomes at Local Levels

description: Over the past thirty years, disaster scholars have highlighted that communities with stronger social infrastructure - including social ties that enable trust, mutual aid, and collective action - tend to respond to and recover better from crisis. However, comprehensive measurements of social capital across communities have been rare. This study adapts Kyne and Aldrich’s (2019) county-level social capital index to the census-tract level, generating social capital indices from 2011 to 2018 at the census-tract, zipcode, and county subdivision levels. To demonstrate their usefulness to disaster planners, public health experts, and local officials, we paired these with the CDC’s Social Vulnerability Index to predict the incidence of COVID-19 in case studies in Massachusetts, Wisconsin, Illinois, and New York City. We found that social capital and social vulnerability predicted as much as 95% of the variation in COVID outbreaks, highlighting their power as diagnostic and predictive tools for combating the spread of COVID.
description: R, null
description: This dataverse contains both (1) the replication code for our Nature Scientific Reports paper, as well as (2) the replication code for the social capital indices used in them, and (3) the social capital indices themselves.

Below, you can download our social capital indices for census tracts, zipcodes, and county subdivisions (cities) from the years 2011-2020! Please be sure to cite our Nature Scientific Reports paper. 

Wondering how we built them? Read all about it on our tutorial here on RPubs! https://rpubs.com/timothyfraser/social_capital_indices

We would love to hear from you about how you've used the indices, to help us produce better indices for the community in the future.
DOI: 10.7910/dvn/zjzm4f
title: Replication Data for: Using electronic health records and Internet search information for accurate influenza forecasting

description: &lt;p&gt;
The data for replication contain three parts: Centers for Disease Control and Prevention (CDC) data, Google Trends (GT) data, and Electronic Health Record (EHR) data. All data are obtained and frozen as of July 9, 2016.
&lt;/p&gt;
&lt;p&gt;
CDC publish weekly unweighted &lt;a href="gis.cdc.gov/grasp/fluview/fluportaldashboard.html"&gt;Influenza-like Illness (ILI) activity level &lt;/a&gt; (gis.cdc.gov/grasp/fluview/fluportaldashboard.html). The initial report is subject to revision in later weeks as more data are gathered and processed from participating clinics around the country. We have consolidated the CDC's weekly unweighted ILI activity level data with later revisions into one single csv file.
&lt;/p&gt;
&lt;p&gt;
&lt;a href="www.google.com/trends"&gt;Google Trends&lt;/a&gt; (www.google.com/trends) data are publicly available. The query terms that we used were identified from &lt;a href="www.google.com/trends/correlate"&gt;Google Correlate&lt;/a&gt; (www.google.com/trends/correlate), where we identified 129 flu-related Google search terms in total. The Google Trends data are then manually downloaded and consolidated into one single csv file.
&lt;/p&gt;
&lt;p&gt;
The EHR data are from &lt;a href="www.athenahealth.com"&gt;athenahealth&lt;/a&gt;, a provider of cloud-based services and mobile applications for medical groups and health systems (www.athenahealth.com). The data we used are historical values of three nationally aggregated weekly fraction from total patient visit counts: (a) flu visit counts, (b) ILI visit counts, and (c) unspecified viral or ILI visit counts. That is, data reported are rounded fraction of each type of counts to total patient visit counts. The EHR data are available in real time starting from July 2009.
&lt;/p&gt;
DOI: 10.7910/dvn/5zeckm
title: NanoString Profiling of Canine Glioma Treated with Neoadjuvant RNA Lipid Particle Aggregates

description: Tumor tissues were harvested from canines that had been treated with neoadjuvant RNA Lipid Particle Aggregates (RNA-LPA, n = 3) as well as from untreated controls (n = 3). The collected tissues were immediately collected in RNAlater. The following day, the preserved tissues underwent RNA extraction and were subsequently processed using Nanostring nCounter Canine Immuno Oncology Panel (cat. 115000465). This panel facilitated the quantification of gene expression within key immune response and cancer-related pathways.
description: Canine Tumor tissue samples untreated. n = 3 canines (3, 4 and 5), 2 technical replicates per canine (3a,3b,4a,4b,5a, and 5b). Canine Tumor tissue samples treated with neoadjuvant RNA Lipid Particle Aggregates. n = 3 canines, 2 with two replicates (8a,8b and 10a and 10b) and 1 with one replicate (11a)
DOI: 10.7910/dvn/lmdueq
title: Replication Data for: How Gendered is the Peer Review Process? A Mixed-Design Analysis of Reviewer Feedback

description: A fair peer review process is essential for the integrity of a discipline's scholarly standards. However, underrepresentation of scholarly groups casts doubt on fairness, which is currently raising concerns about a gender bias in the peer review process of premier scholarly journals such as the American Political Science Review (APSR). In this study we examine gender differences in APSR reviewing during the period 2007-2020. Our explorative analysis suggests that male reviewers privilege male authors and female reviewers female authors, while manuscripts reviewed by both male and female reviewers indicate fewer gender bias. Using within manuscript variation to address confounding effects, we then show that manuscripts reviewed by both male and female reviewers receive a more positive evaluation by female reviewers in terms of recommendation and sentiment, while they experience a marginally longer duration. Because these effects are not specific for type of authorship, we recommend that invitations should reflect mixed compositions of peers, which may also avoid overburdening an underrepresented group with review workload.
DOI: 10.7910/dvn/moipe7
title: Transnational Women's Activism and the Global Diffusion of Gender Quotas

description: The rapid global spread of quotas for women constitutes one of the most significant political developments of the last thirty years. It transformed the composition of legislatures worldwide. Yet we lack a solid understanding of the forces driving quota diffusion. In this article, we consider how global pressure from the international women's movement affects national gender quota adoption. In the first quantitative analysis of this question on a global scale, we use event history techniques to examine global, transnational, and national influences on quota adoption in 149 countries between 1989 and 2008. Contributing to work on international norm diffusion, we find a crucial role for women's activism, but uncover a negative interaction between increased global pressures and domestic ties to women's transnational organizing. We suggest global pressure to adopt quotas may be weakened by the diverse agendas of women's activist organizations, by perceived threats to male elites posed by women's agitation, or both.
DOI: 10.7910/dvn/osjswk
title: Replication Data for: What Hinders Investment in the Aftermath of Financial Crises: Insolvent Firms or Illiquid Banks?

description: Kalemli-Ozcan, Sebnem, Kamil, Herman, and Villegas-Sanchez, Carolina, (2016) "What Hinders Investment in the Aftermath of Financial Crises: Insolvent Firms or Illiquid Banks?" Review of Economics and Statistics 98:4, 756-769.
DOI: 10.7910/dvn/s7ayf
title: Senate Unpassed Legislation 1851, Docket 13162, SC1/series 231, Petition of Andrew Foster

description: &lt;p&gt;Petition subject: To protect rights and liberties of Commonwealth inhabitants &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11858258"&gt;http://nrs.harvard.edu/urn-3:FHCL:11858258&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Wareham &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Committee on so much of the governor's address as relates to slavery &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Andrew Foster&lt;/li&gt;&lt;li&gt;Harriet E.M. Shaw&lt;/li&gt;&lt;li&gt;Deborah E. Shaw&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1851-02-05,1851-02-06 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 5, 1851 and referred to the committee on so much of the governor's address as relates to slavery and sent for concurrence and received in the Senate on February 6, 1851 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 23 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 9 &lt;/p&gt; &lt;p&gt;Female signatures: 7 &lt;/p&gt; &lt;p&gt;Other male signatures: 6 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters, other persons, [females], [other males], ["voters"], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1851, Docket 13162 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/sobl4b
title: Data for: Mosquitocidal effect and pharmacokinetics of different ivermectin dose regimens in preparation for BOHEMIA cluster randomized controlled trial

description: &lt;p&gt;The aim of the trial was to compare the pharmacokinetics and mosquito-killing effect of 300 mcg/kg of IVM given on three consecutive days to 400 mcg/kg of IVM given once. The trial also evaluated how the two treatments differed from albendazole in terms of mosquito survival&lt;/p&gt;
&lt;p&gt;Mosquitocidal effect and pharmacokinetics of different ivermectin dose regimens given to both male and female healthy participants who were willing to comply with study requirements. The study participants were residents of Ngerenya, Kilifi, Kenya&lt;/p&gt;
&lt;p&gt;The datasets describe the process of screening the participants and randomization into the study arms for eligible individuals. Participants screened 30 days to study allocation were screened again to check on their
eligibility. Participants were treated and followed up according to the group to which the participant was assigned. Participants who were dropped off from the study were registered in the withdrawal form. &lt;/p&gt;
&lt;p&gt;The trial is registered on clinicaltrials.gov: NCT04966702&lt;/p&gt;
description: <strong>Data Access: </strong>Restricted

Access to these data requires submission of a formal request for consideration by our Data Governance Committee. 
<strong>How to request</strong>

Download and complete the <strong>data request form</strong>
 Email completed data request form to the Data Governance Committee at <strong>dgc@kemri-wellcome.org</strong>
DOI: 10.7910/dvn/zizkqb
title: Rivers (named) of the Russian Empire (1820s)

description: Rivers (named) of the Russian Empire, as depicted on the Geographical Atlas of the Russian Empire produced by the Military-Topographical Depot of His Imperial Majesty's General Staff, 1820-1827. Component of the &lt;a href="http://dighist.fas.harvard.edu/projects/imperiia/"&gt;Imperiia Project&lt;/a&gt;.&lt;br&gt;

&lt;a href="http://dighist.fas.harvard.edu/projects/imperiia/items/show/670"&gt;Documentation and analysis available here&lt;/a&gt; (http://dighist.fas.harvard.edu/projects/imperiia/items/show/670)
DOI: 10.5281/zenodo.15465210
title: Groundwater Depth Time Series for 2902 wells across England

description: This dataset provides the groundwater depth time series and annual mean groundwater depth for 2,902 wells across England. This dataset is created based on the groundwater levels time series provided by the Environment Agency of England and Wales (https://environment.data.gov.uk/hydrology/landing, last accessed in June 2024), by removing several outliers and questionable stations present in the original dataset. This dataset is published with the research paper (Fang et al., Human Activities Dominate Groundwater Trends across England) that analyses the groundwater trend across England and is made freely available to the community.
DOI: 10.5281/zenodo.15465211
title: Groundwater Depth Time Series for 2902 wells across England

description: This dataset provides the groundwater depth time series and annual mean groundwater depth for 2,902 wells across England. This dataset is created based on the groundwater levels time series provided by the Environment Agency of England and Wales (https://environment.data.gov.uk/hydrology/landing, last accessed in June 2024), by removing several outliers and questionable stations present in the original dataset. This dataset is published with the research paper (Fang et al., Human Activities Dominate Groundwater Trends across England) that analyses the groundwater trend across England and is made freely available to the community.
DOI: 10.5281/zenodo.15584814
title: Groundwater Depth Time Series for 2902 wells across England

description: This dataset provides the groundwater depth time series and annual mean groundwater depth for 2,902 wells across England. This dataset is created based on the groundwater levels time series provided by the Environment Agency of England and Wales (https://environment.data.gov.uk/hydrology/landing, last accessed in June 2024), by removing several outliers and questionable stations present in the original dataset. This dataset is published with the research paper (Fang et al., Human Activities Dominate Groundwater Trends across England) that analyses the groundwater trend across England and is made freely available to the community.