cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u4f2rz
title: Occurrence Download

description: A dataset containing 6026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gisekia L."
 ]
}

 The dataset includes 6026 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001914-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smgu3a
title: Occurrence Download

description: A dataset containing 8172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex acetosella L.",
 "Country is Russian Federation"
 ]
}

 The dataset includes 8172 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010363-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb6vgf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 28.8496,17.9648 28.8496,17.9648 19.8496,26.9648 19.8496,26.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010365-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15558191
title: ENIQ24130 01) CAR24004.qps

description: N2-physisorption data for CAR24004 calcined (550°C) 3D printed gamma-alumina structure
DOI: 10.5281/zenodo.15558192
title: ENIQ24130 01) CAR24004.qps

description: N2-physisorption data for CAR24004 calcined (550°C) 3D printed gamma-alumina structure
DOI: 10.7910/dvn/hlusju
title: Replication Data for: Conservation Agriculture in Africa: Evidence from Mozambique and Zambia

description: CA has been promoted as a technology for tackling southern Africa’s smallholder farmers’ economic and agricultural challenges such as decreasing food production, climate change and variability, and soil nutrient depletion for more than a decade. Despite the investment, empirical evidence suggests variable and often partial adoption rates. In Zambia, for example, wide discrepancies exist in CA adoption numbers and area reported in both peer-reviewed literature and unpublished project reports (Whitfield et al 2015 and Twomlow et al., 2008). Thus, lack of clarity on what constitutes CA adoption represents a huge challenge in the accurate calculation of adoption rates in southern Africa and the whole African continent at large. Knowledge of the geographical spread and the number of CA adopters is useful planning tool for policy and evaluating economic and poverty impact at both country and regional level. The practice of CA does not necessarily make a farmer an “adopter”. Understanding the different kinds of possible CA ‘adoptions’ is important in defining and contextualizing indicators that relate to the adoption process. Measuring adoption for complex technology packages such as CA, that farmers disentangle into smaller parts and only adopt components they perceive to fit their farming systems requires a two tier process. First, measuring whether or not the technology has been adopted at all. Secondly, analyzing which components are adopted in what combination by which types of farmers across time and space. In this brief, we establish and verify the extent CA adoption in Mozambique and Zambia based on regionally accepted key minimums for CA.
DOI: 10.7910/dvn/mcavfp
title: Replication Data for: "Econometrics of Ascending Auctions by Quantile Regression"

description: Replication Data for: "Econometrics of Ascending Auctions by Quantile Regression"
DOI: 10.7910/dvn/olgpt6
title: Simulated dataset

description: Simulated data with max variability cited in 'Cross-Clustering: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters'
DOI: 10.7910/dvn/rwfue8
title: A11_19389.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/4b0afe77-f3bf-40ad-b7a5-0b03ee21cbc6'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/4b0afe77-f3bf-40ad-b7a5-0b03ee21cbc6
DOI: 10.7910/dvn/s71f9d
title: G. MOSES 1 Study Research Report, Appendices, and Additional Materials

description: Full report, commentary, additional materials, and appendices.
DOI: 10.7910/dvn/xlikqf
title: Growing season temperature variability in Malawi (2016–2017)

description: &lt;b&gt;Growing season temperature variability in Malawi (2016–2017)&lt;/b&gt;
&lt;br&gt;&lt;br&gt;
This raster structure data set depicts within-season land surface temperature variability trends in Malawi for the 2016–2017 growing season (November–April), categorized based on time-series observations from the NASA MODIS (Moderate Resolution Imaging Spectroradiometer, MOD11A2 V006). Outlier values were removed using Tukey’s interquartile range algorithm and subsequently interpolated using inverse distance weighting. The classifications were generated using the Jenks natural breaks algorithm to identify areas of low, medium, or high temperatures (relative to observations under this spatiotemporal scale) and fluctuation in temperature over time (stable or variable). The resulting six classifications are low-stable (1), low-variable (2), medium-stable (3), medium-variable (4), high-stable (5), and high-variable (6). Data presented are masked to agricultural land.
&lt;br&gt;&lt;br&gt;
&lt;i&gt;This content is made possible by the support of the American People provided to the Feed the Future Innovation Lab for Sustainable Intensification through the United States Agency for International Development (USAID). The contents are the sole responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government. Program activities are funded by USAID under Cooperative Agreement No. AID-OAA-L-14-00006.&lt;/i&gt;
DOI: 10.7910/dvn/xsexep
title: 2018 Social Accounting Matrix for the Philippines

description: The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2018 Philippines SAM follows the Standard Nexus Structure. The open access version of the Philippines SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the word.
description: Social Accounting Matrix (SAM)
description: EXCEL, 2016
DOI: 10.7910/dvn/zqpwci
title: Replication Data for: Against statistical significance testing in corpus linguistics

description: In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.
DOI: 10.7910/dvn/zre0bl
title: CCES 2016, Team Module of University of Colorado, Boulder (CUB)

description: This dataverse contains the data and supporting documents for the CCES 2016 University of Colorado. This project was supported by the National Science Foundation, Grant Number SES-1559125.
DOI: 10.7910/dvn/lqmurf
title: Estudio Longitudinal Social de Chile 2016-2021

description: ELSOC has been designed to evaluate how Chileans think, feel, and behave regarding a set of social issues related to conflict and social cohesion in Chile. Because of its nature, this study seeks to analyze, in a national representative sample, the stability or change in several social dimensions attending factors that can moderate or explain it through the years. These datasets contain 5 waves of the study merged in wide and long format (2016-2021)
DOI: 10.7910/dvn/mohxb5
title: Replication Data for: Mapping the landscape of university technology flows in China using patent assignment data

description: Replication Data for: Mapping the landscape of university technology flows in China using patent assignment data
DOI: 10.7910/dvn/ypcblp
title: A15_29372.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8832938b-7c6e-48f5-b666-6c961ce49582'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8832938b-7c6e-48f5-b666-6c961ce49582
DOI: 10.7910/dvn/zqm6so
title: Sulfur - 3D Models - Full Resolution

description: Full resolution 3D models in formats: .obj (with .mtl and .jpg), .x3d (with .jpg), and .glb (glTF)
DOI: 10.7910/dvn/3amgme
title: Counting Women’s Ballots: data

description: This dataset includes individual state-year merged US Census and election returns at various levels of aggregation for 10 sample states, 1920-36 (Illinois and Kansas, 1916-1936).
DOI: 10.7910/dvn/5jaaci
title: PROMIS 1 American Chronic Pain Association (ACPA) Supplement

description: &lt;p&gt;In order to increase the number of participants experiencing pain in the calibration sample, individuals with chronic pain were recruited through the American Chronic Pain Association (ACPA). An invitation to complete the PROMIS pain survey was posted on the ACPA website. To be eligible, participants had to be 21 years of age or older and have at least one chronic pain condition for at least 3 months prior to participating in the survey. Those who met eligibility criteria were asked to complete an online informed consent form. After obtaining informed consent, participants immediately began the survey. The survey was posted on the website of the ACPA from September 2007 to March 2008.&lt;/p&gt;
&lt;p&gt;
There were 967 participants who responded to 47 Pain Interference, 42 pain behavior, and 41 pain quality items, and one global average pain intensity item through online administration. The average age was 48.2 years (SD = 11.1). Eighty-one percent of the respondents were female, and 91% were Caucasian, 1.5% were African-American, and 5% were of Hispanic origin. Eighty-one percent of the participants had an education equal to or greater than high school. The data was combined with the Calibration Studies full-bank test data to calculate item calibrations.&lt;/p&gt;
DOI: 10.7910/dvn/dzlcny
title: Replication Data for: Predicting non-state terrorism worldwide

description: This folder contains all files required to replicate the work "Predicting non-state terrorism worldwide".
description: R, 3.6
description: Hardware requirements: RAM (min 35GB, recommended &gt;=60GB)
Software requirements: Use R version &gt;=3.2 (we recommend R version &gt;=3.6), which can run on MacOS, Linux, and Windows machines. 

To access the full Global Terrorism Database (GTD)™ dataset: website.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License<br>.
DOI: 10.7910/dvn/jjfats
title: Replication Data for: The Complexity of Associative Diffusion

description: This R code replicates Goldberg & Stein's (2018, ASR) agent-based model of associative diffusion.
DOI: 10.7910/dvn/lauvgr
title: Replication Data for: "The Effects of Housing Supply Restrictions on Partisan Geography"

description: This dataset contains data and code necessary to replicate the tables and figures in "The Effects of Housing Supply Restrictions on Partisan Geography" by Jason Sorens.
DOI: 10.7910/dvn/9gbkpw
title: Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project

description: IFAD CSD baseline dataset contains detailed information about household composition, production systems and activities, land and labour allocation, income from on-farm and off-farm activities, household consumption of food, and assets, land ownership and allocation of activities, with an emphasis on livestock production activities, livestock feeding strategies, selling of livestock products in the Southern Highlands of Tanzania and Rwanda.
description: ONA, null
description: Primary data
DOI: 10.7910/dvn/ho971q
title: Replication Data for: Nudging when the descriptive norm is low: Evidence from a carbon offsetting experiment

description: Replication data.
DOI: 10.7910/dvn/orh2ep
title: Replication data for: Menatti, Smyth, Teachman, & Nosek (2012): Reducing Stigma Toward Individuals with Mental Illnesses: A Brief, Online Intervention

description: Purpose: Our goal was to determine the effectiveness of a brief online intervention designed to reduce stigma-relevant attitudes toward mentally ill individuals. We examined whether the experience of completing a Brief Implicit Association Test (BIAT) measuring attitudes toward people with mental illnesses alters explicit stigma in two studies. Methods: In Study 1, participants completed the BIAT and received feedback about their individual level of implicit bias. Study 2 added a condition in which the BIAT was administered without feedback on performance. Results: Study 1 showed that the intervention was effective in reducing stigma-relevant attitudes toward mentally ill individuals. Study 2 showed that receiving feedback about one’s own implicit bias was not necessary for the intervention to reduce stigma. Conclusion: These studies show that the BIAT intervention may be effective at reducing explicit stigmatizing attitudes toward individuals with mental illnesses, at least in the short-term. Implications: This brief, accessible, and cost-effective stigma reduction strategy may be of use to community organizations whose mission is to address issues surrounding stigmatization in real-world settings.
DOI: 10.7910/dvn/rnm41j
title: 1K Crime news headlines automatically generated by ChatGPT3 [ES].

description: This CSV (Comma-Separated Values) file contains 1,000 crime-related news headlines written in Spanish, which have been automatically generated by ChatGPT-3, a state-of-the-art language model developed by OpenAI. These headlines encompass a variety of crime-related topics, including criminal incidents, investigations, and law enforcement updates. This dataset provides valuable insights into AI-generated content within the context of crime news reporting, serving as a resource for researchers, journalists, and those interested in AI-generated text in the field of criminal reporting.
description: Content Disclaimer: Please be aware that the content in this dataset may include explicit or sensitive material. No content filtering or editing has been applied to the headlines. They are presented exactly as they were automatically generated by ChatGPT-3, without human intervention or moderation.

Viewer Discretion Advised: Users of this dataset should exercise caution and discretion when accessing and using the data, as some headlines may contain content that could be disturbing or offensive. It is advisable to review and potentially filter the dataset further if sensitive or explicit material is not suitable for your intended use.

Automated Generation: All headlines have been generated entirely through automated means, and as such, they may not reflect the opinions, values, or biases of any human entity. The generation process is solely based on the language model's training data and algorithms.

Research and Analysis: Researchers, journalists, and data analysts should approach this dataset with the understanding that it is a resource for studying the capabilities of AI text generation. It can be used for various research purposes but should be handled responsibly and ethically.

Sensitive Topics: Given the nature of crime-related content, some headlines may touch upon sensitive topics, including violence, criminal activities, and legal proceedings. Users are encouraged to consider the potential impact of such content when using this dataset and to abide by ethical guidelines in their analysis and reporting.

Data Transformation: Depending on the intended use of this dataset, users may choose to apply content filtering, editing, or categorization to ensure that it aligns with their specific research or reporting requirements and avoids potential harm or offense to audiences.
DOI: 10.7910/dvn/ypi81m
title: A87_1062.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/b0d1d2a2-4511-9446-67b8-5dd3a0466384'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/b0d1d2a2-4511-9446-67b8-5dd3a0466384
DOI: 10.7910/dvn/yqeiin
title: A87_1105.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/bfdf4ba2-ce37-cd1f-a3b8-fc87911e7947'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/bfdf4ba2-ce37-cd1f-a3b8-fc87911e7947
DOI: 10.7910/dvn/e6dqaj
title: A17_33735.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/96ab76f2-8334-481c-a635-642aa61be4f6'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/96ab76f2-8334-481c-a635-642aa61be4f6
DOI: 10.7910/dvn/gguca
title: Massachusetts Archives Collection. v.76-Military, 1756-1757. SC1/series 45X, Petition of Hezekiah Ward

description: &lt;p&gt;Petition subject: Military service &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13909058"&gt;http://nrs.harvard.edu/urn-3:FHCL:13909058&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1757-01-06 &lt;/p&gt; &lt;p&gt;Petition location: Grafton &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Hezekiah Ward&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Legislative action: Reported &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legislative action summary: Reported &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &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;: Manuscript &lt;/p&gt; &lt;p&gt;Additional archivist notes: Casar Antea, Caesar Antea, Captain Doolittle, Crown Point expedition, [Hassanamisco] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 76, page 198 &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/hohxtz
title: Uganda Water Supply Atlas District Water Summary Report FY2015-FY2016
title: Overview of water usage and access to water across Uganda's 112 districts.

description: This CSV file contains tabular data published by the Ministry of Water and Environment's Uganda Water Supply Atlas. The data includes piped water, rural versus urban access, types of water supply and the overall penetration of water by district. The data is accessed directly from the Ministry's website. The data is already prepared to be used in GIS programs for easy visualization.
description: This dataset has been cleaned by OSI staff members to ensure compatibility with GIS programs.
DOI: 10.7910/dvn/jiptbc
title: Replication Materials for: 'If it ain't broke, don't fix it: How the public's economic confidence in the fossil fuel industry reduces support for a clean energy transition'

description: This is the replication material for the paper ''If it ain't broke, don't fix it: How the public's economic confidence in the fossil fuel industry reduces support for a clean energy transition'', published in Environmental Politics (DOI: 10.1080/09644016.2021.1978199).
DOI: 10.7910/dvn/jjkdp1
title: A98_11013l.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a5159cf5-9e9e-46f9-88f6-0be5600ef191'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a5159cf5-9e9e-46f9-88f6-0be5600ef191
DOI: 10.7910/dvn/jjnaq4
title: Annual Survey of Industries (India) : Investment Related Variables from 1999 to 2019

description: This dataset contains selected variables used to understand the relationship between Investment Rate and Rate of Profit in India's Organized Manufacturing Sector
DOI: 10.7910/dvn/jocslu
title: A survey on fish market in the north west region (Rajshahi and Rangpur) of Bangladesh

description: The survey yields information on the infrastructure and physical amenities of a few prominent fish markets in northwest Bangladesh (e.g., facilities for connecting to water and power, cleaning and draining waste, selling live fish, and digital weighing). It also provides information on the number and types of intermediaries and the volume of transactions on a typical day in the market. This survey information is crucial for the project to link farmers with the appropriate market.
description: Type: Dataset; Sub-type(s): Other (survey data)
DOI: 10.7910/dvn/q8ilq9
title: A11_19905.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/55805d5b-1c42-413b-a93b-389efc7cf669'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/55805d5b-1c42-413b-a93b-389efc7cf669
DOI: 10.7910/dvn/rnvihn
title: Replication Data for: The effects of cancer therapies on physical fitness before oesophagogastric cancer surgery: A prospective, blinded, multi-centre, observational, cohort study

description: EQ-5D Post NAC
DOI: 10.7910/dvn/sguomo
title: Filtered Census Data 2011 Indian Census

description: This dataset contains filtered data I've made into tables from the 2011 Indian census
DOI: 10.7910/dvn/5ipos3
title: Replication Data for: Validating academic managerial competency scale in Malaysian higher education context

description: The data can be used to validate the academic managerial competency scale in the Malaysian higher education landscape.
DOI: 10.7910/dvn/5ipqie
title: synaptic vesicle data control

description: electron microscopy data for synaptic vesicle analysis in control AP4mito, data generated by Elizabeth McNeill and Vivian Chou
DOI: 10.7910/dvn/e6h9fu
title: Replication Data for Government formation as logrolling in high-dimensional issue spaces

description: Files and Data for Government formation as logrolling in high-dimensional issue spaces, JOP, Scott de Marchi and Michael Laver.
DOI: 10.7910/dvn/hn4vpu
title: Violent Intranational Conflict Data Project (VICDP)

description: The Violent Intranational Conflict Data Project (VICDP) was created by Will H. Moore in 1992 to produce events data for the study of violent intranational conflict. The project produced data for five cases: Colombia, Nigeria, Peru, Sri Lanka, and
Zimbabwe covering the years 1955-1991. In addition, some data were collected for both Lebanon and the Phillipines. VICDP has been superseded by the &lt;a href="http://dvn.iq.harvard.edu/dvn/dv/wmoore/faces/study/StudyPage.jsp?studyId=18783" target= "_new"&gt;Intranational Political Interactions (IPI) Project&lt;/a&gt;.