cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e115788
title: A Summer Nudge Campaign to Motivate Community College Students to Reenroll

description: Despite growing economic opportunities in “middle-skills” science, technology, engineering, and mathematics (STEM) professions, the majority of community college STEM students leaves the STEM pipeline or withdraws from college altogether. We tested an intervention that addressed one reason why students abandon STEM: psychosocial barriers including identity threats, a lack of belonging, and a mismatch between students’ values and those prevalent in STEM. Our intervention leveraged behavioral science (“nudging”) strategies as part of a 7-week summer campaign to encourage reenrollment, delivered via text message to 1,367 randomly selected first-year students at three community colleges.
description: Response Rates: Overall, nearly all students targeted for treatment received nudges (96%). The remaining 4% had phone numbers that did not receive text messages for various reasons (e.g., landlines, cell phones without service). Only a small portion of students unsubscribed from the nudges immediately on the first day (5%), and over the course of the summer the percentage of students who opted out remained small (cumulatively 15%). Students received approximately 12 nudges each, including 8 questions on average, and answered 25% of the time.
description: other~~
description: Participants were 2,759 students enrolled in the Spring 2017 term at three different U.S. community colleges. Students were selected from class lists with defined majors, with one college restricting participation to students in STEM pathways. Selected students were randomly assigned into experimental conditions by each college using Excel’s RAND function, resulting in 1,367 students in the intervention arm and 1,392 students in the control arm.
DOI: 10.7910/dvn/7jfrnl/3uikd9
title: product_process_patents_ctry_2_ind_100_ep_Sweden.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/aisfxi
title: product_process_patents_ctry_2_ind_100_ep_Spain.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/aqwkgb
title: product_process_patents_ctry_2_100_us_Sweden.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/eycjaf
title: product_process_patents_ctry_pred_ind_100_us_Mexico.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/gps1z2
title: product_process_patents_ctry_2_ind_100_ep_Slovenia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/hztmax
title: product_process_patents_ctry_2_100_us_Turkey.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/irx4ly
title: product_process_patents_ctry_2_ind_100_ep_South Africa.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/km8w4h
title: product_process_patents_ctry_2_100_us_Switzerland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/vcotry
title: product_process_patents_ctry_2_100_us_South Korea.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/z2vxe8
title: product_process_patents_ctry_2_ind_100_ep_South Korea.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/3f7ks6
title: product_process_patents_ctry_2_ind_100_Belgium.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/7qblss
title: product_process_patents_ctry_2_ind_100_ep_United Kingdom.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/abtobb
title: product_process_patents_ctry_2_ind_100_Australia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/eskskg
title: product_process_patents_ctry_2_ind_100_ep_Turkey.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/fiwk0h
title: product_process_patents_ctry_2_ind_100_ep_United States.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/iedsjo
title: product_process_patents_ctry_2_ind_100_ep_Switzerland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/mf77q8
title: product_process_patents_ctry_2_ind_100_Austria.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/1l8lmq
title: product_process_patents_ctry_2_ind_100_Denmark.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/3sawzo
title: product_process_patents_ctry_2_ind_100_Brazil.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/fzg1vo
title: product_process_patents_ctry_2_ind_100_ep_Australia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/g5mc7d
title: product_process_patents_ctry_2_ind_100_Czech Republic.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/j1wt3k
title: product_process_patents_ctry_2_ind_100_Canada.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/n7divl
title: product_process_patents_ctry_2_ind_100_Bulgaria.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/smtryb
title: product_process_patents_ctry_2_ind_100_Chile.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/vwp7fw
title: product_process_patents_ctry_2_ind_100_China.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/wwyomq
title: product_process_patents_ctry_2_ind_100_Croatia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/2cxy5b
title: product_process_patents_ctry_2_ind_100_ep_Brazil.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/8nzgg3
title: product_process_patents_ctry_2_ind_100_ep_Croatia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/bymm8j
title: product_process_patents_ctry_2_ind_100_ep_Bulgaria.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/fumnc7
title: product_process_patents_ctry_2_ind_100_ep_China.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/kl2opp
title: product_process_patents_ctry_2_ind_100_ep_Belgium.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/m4ba29
title: product_process_patents_ctry_2_ind_100_ep_Chile.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/ykpn5m
title: product_process_patents_ctry_2_ind_100_ep_Austria.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/z3cgaj
title: product_process_patents_ctry_2_ind_100_ep_Canada.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/6fcbrc
title: product_process_patents_ctry_2_ind_100_ep_Hungary.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/cfbcyg
title: product_process_patents_ctry_2_ind_100_ep_Denmark.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/fdn7nh
title: product_process_patents_ctry_2_ind_100_ep_Greece.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/fxrgvj
title: product_process_patents_ctry_2_ind_100_ep_Czech Republic.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/grsguw
title: product_process_patents_ctry_2_ind_100_ep_Estonia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/llod3s
title: product_process_patents_ctry_2_ind_100_ep_India.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/ozxsnl
title: product_process_patents_ctry_2_ind_100_ep_Germany.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/pzuvmc
title: product_process_patents_ctry_2_ind_100_ep_Finland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/whfhwp
title: product_process_patents_ctry_2_ind_100_ep_Hong Kong.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/z7sq1h
title: product_process_patents_ctry_2_ind_100_ep_France.png

description: :unav
DOI: 10.3886/e109167v2-19807
title: Cora Dataset

description: The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The data is also hosted here. Note that various versions of the Cora data set have been used by many publications in record linkage and entity resolution over the years.
DOI: 10.3886/e109167v2-19808
title: Cora Dataset

description: The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The data is also hosted here. Note that various versions of the Cora data set have been used by many publications in record linkage and entity resolution over the years.
DOI: 10.7910/dvn/7jfrnl/djoeey
title: product_process_patents_ctry_2_ind_100_ep_Japan.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/gudpot
title: product_process_patents_ctry_2_ind_100_ep_Ireland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/kl9nhj
title: product_process_patents_ctry_2_ind_100_ep_Italy.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/m35lxt
title: product_process_patents_ctry_2_ind_100_ep_Liechtenstein.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/mksgup
title: product_process_patents_ctry_2_ind_100_ep_Iceland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/p8mglo
title: product_process_patents_ctry_2_ind_100_ep_Israel.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/pjpq3h
title: product_process_patents_ctry_2_ind_100_ep_Lithuania.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/yio0ql
title: product_process_patents_ctry_2_ind_100_ep_Latvia.png

description: :unav
DOI: 10.17632/2y72w2t3nd.1
title: Data for: Elemental geochemistry of early Cambrian phosphate nodules in Guizhou Province, South China: An integrated study by LA-ICP-MS mapping and solution ICP-MS
DOI: 10.7910/dvn/7jfrnl/b68noq
title: product_process_patents_ctry_2_ind_100_ep_New Zealand.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/doamev
title: product_process_patents_ctry_2_ind_100_ep_Romania.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/ftv351
title: product_process_patents_ctry_2_ind_100_ep_Mexico.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/jagn75
title: product_process_patents_ctry_2_ind_100_ep_Norway.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/maerzs
title: product_process_patents_ctry_2_ind_100_ep_Portugal.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/ovc9ea
title: product_process_patents_ctry_2_ind_100_ep_Luxembourg.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/rjt3o0
title: product_process_patents_ctry_2_ind_100_ep_Netherlands.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/tzna3h
title: product_process_patents_ctry_2_ind_100_ep_Poland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/vliunj
title: product_process_patents_ctry_2_ind_100_ep_Russia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/wzarul
title: product_process_patents_ctry_2_ind_100_ep_Malta.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/11gawz
title: product_process_patents_ctry_2_ind_100_us_Switzerland.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/9zlgpp
title: product_process_patents_ctry_2_ind_100_ep_Slovakia.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/cmaql8
title: product_process_patents_ctry_2_ind_100_us_Sweden.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/g5lmja
title: product_process_patents_ctry_2_ind_100_us_Turkey.png

description: :unav
DOI: 10.7910/dvn/7jfrnl/gq6mb7
title: product_process_patents_ctry_2_ind_100_us_Spain.png

description: :unav
DOI: 10.17632/4p2y76wf4d.1
title: Data for: Di-μ-oxidovanadium(V) di-nuclear complexes: Synthesis, X-ray, DFT modeling, Hirshfeld surface analysis and Antioxidant activity

description: The added data contain Cif and CheckCif files.
DOI: 10.5281/zenodo.3552655
title: Snapshot corpus of #MeToo tweets Jul−Aug 2019

description: This dataset is a corpus of tweets in English (n=505), Spanish (n=405) and German (n=443) that include the hashtag #metoo. It also features a quantitative analysis of collocates with the #metoo hashtag.
DOI: 10.5281/zenodo.3552656
title: Snapshot corpus of #MeToo tweets Jul−Aug 2019

description: This dataset is a corpus of tweets in English (n=505), Spanish (n=405) and German (n=443) that include the hashtag #metoo. It also features a quantitative analysis of collocates with the #metoo hashtag.
DOI: 10.5519/qd.zh8qnr2v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (299 records)
DOI: 10.5281/zenodo.3552800
title: data used in "First Observations From the TREx Spectrograph: The Optical Spectrum of STEVE and the Picket Fence Phenomena"

description: This data was linked in the Acknowledgements of the paper. We upload it to Zenodo for archival preservation.
DOI: 10.5281/zenodo.3552801
title: data used in "First Observations From the TREx Spectrograph: The Optical Spectrum of STEVE and the Picket Fence Phenomena"

description: This data was linked in the Acknowledgements of the paper. We upload it to Zenodo for archival preservation.
DOI: 10.17632/mrm3p5srym.1
title: Data for: KeySFC: Agile Traffic Steering using Strict Source Routing for Enabling Efficient Traffic Engineering
DOI: 10.5281/zenodo.3552596
title: Simulation data files of the article: "Gas accretion damped by dust back-reaction at the snowline"

description: We make available here the simulation output files used in the paper "Gas accretion damped by dust back-reaction at the snowline" by Gárate et al. (submitted to A&A). The simulation shows the gas and dust evolution of a protoplanetry disk around the snowline, considering the dust back-reaction. The simulations were performed using TwoPopPy (Birnstiel et al, 2012) to solve the advection of gas and dust. Each file corresponds to one simulation. Each files contains the radial profile of the physical properties at different snapshots. The simulation data is saved in numpy format. We include the jupyter notebook as a guide of how to read and plot the simulation files.
DOI: 10.5281/zenodo.3552597
title: Simulation data files of the article: "Gas accretion damped by dust back-reaction at the snowline"

description: We make available here the simulation output files used in the paper "Gas accretion damped by dust back-reaction at the snowline" by Gárate et al. (submitted to A&A). The simulation shows the gas and dust evolution of a protoplanetry disk around the snowline, considering the dust back-reaction. The simulations were performed using TwoPopPy (Birnstiel et al, 2012) to solve the advection of gas and dust. Each file corresponds to one simulation. Each files contains the radial profile of the physical properties at different snapshots. The simulation data is saved in numpy format. We include the jupyter notebook as a guide of how to read and plot the simulation files.
DOI: 10.3886/e115789
title: Inter State Migrant Policy Index (IMPEX)

description: Interstate migration in developing countries is a key income generating strategy for low-income households. In India, despite the importance of migration between states, interstate migrants continue to face significant integration barriers in their destination states. The impact of state borders is significant and large on migration within India. This study presents one of the first attempts at creating a set of indicators to understand the role of state-level policies for the integration of interstate migrants in a developing country. After illustrating the process behind the creation of this tool and the tool in itself, we compare seven out the major migrant destination states of India based on their policy frameworks relevant for the integration of interstate migrants. Out of these states, we found that Kerala state is the most inclusive of interstate migrants, but overall policymakers in the considered Indian states have a long way to favour integration of interstate migrants.
description: Inter State Migrant Policy Index (impex)- An assessment of 7 states of India, 2018-2019.
DOI: 10.3886/e115789v1
title: Inter State Migration Policy Index (IMPEX)

description: Interstate migration in developing countries is a key income generating strategy for low-income households. In India, despite the importance of migration between states, interstate migrants continue to face significant integration barriers in their destination states. The impact of state borders is significant and large on migration within India. This study presents one of the first attempts at creating a set of indicators to understand the role of state-level policies for the integration of interstate migrants in a developing country. After illustrating the process behind the creation of this tool and the tool in itself, we compare seven out the major migrant destination states of India based on their policy frameworks relevant for the integration of interstate migrants. Out of these states, we found that Kerala state is the most inclusive of interstate migrants, but overall policymakers in the considered Indian states have a long way to favour integration of interstate migrants.
description: Inter State Migrant Policy Index (impex)- An assessment of 7 states of India, 2018-2019
DOI: 10.3886/e115789v2
title: Inter State Migrant Policy Index (IMPEX)

description: Interstate migration in developing countries is a key income generating strategy for low-income households. In India, despite the importance of migration between states, interstate migrants continue to face significant integration barriers in their destination states. The impact of state borders is significant and large on migration within India. This study presents one of the first attempts at creating a set of indicators to understand the role of state-level policies for the integration of interstate migrants in a developing country. After illustrating the process behind the creation of this tool and the tool in itself, we compare seven out the major migrant destination states of India based on their policy frameworks relevant for the integration of interstate migrants. Out of these states, we found that Kerala state is the most inclusive of interstate migrants, but overall policymakers in the considered Indian states have a long way to favour integration of interstate migrants.
description: Inter State Migrant Policy Index (impex)- An assessment of 7 states of India, 2018-2019.
DOI: 10.6073/pasta/038a8ab20a6ffa2044b885c6a999112e
title: Macroinvertebrate trait, abundance and site quality data from the Green Lakes Valley, 2018

description: This research was conducted to get a sense of the current spatial distribution of benthic macroinvertebrates among various aquatic habitats throughout the Green Lakes Valley. Benthic macroinvertebrates are small organisms that lack a backbone (invertebrate), live on the bottom (benthic), and are visible with the naked eye (macro). To estimate the community structure of benthic macroinvertebrates communities, 53 benthic macroinvertebrate samples were collected over the summer of 2018 from three alpine lakes and two streams in the Green Lakes Valley, CO at multiple points throughout the season. Benthic macroinvertebrates were sampled from the shoreline, inlet (inflow of water), and outlet (outflow of water) of each sampled lake, alongside estimates for habitat quality like surrounding vegetation, temperature (C°), rock volume (L), nitrate (mg/L,) pH, and dissolved oxygen saturation. The methods from this survey are broadly consistent with historic surveys ranging from 1960 to 1987 that have also sought to characterize aquatic invertebrate community composition within the Green Lakes Valley (Bushnell et al. 1987 The Great Basin Naturalist).
DOI: 10.6073/pasta/f40f0910fdfbfc10f7f1a1c9e5207264
title: Soil biogeochemical variables collected on the Arctic Long Term Ecological Research (ARC LTER) experimental plots in moist acidic and dry heath tundra, Arctic LTER Toolik Field Station, Alaska 2017

description: Soil nutrients (total Carbon and Nitrogen, inorganic nutrients (ammonium ion (NH4), nitrate anion (NO3-), phosphate anion (PO43-)); organic nutrients (extractable organic carbon (EOC), extractable total nitrogen (ETN), extractable organic phosphorus (EOP)), microbial biomass, and extracellular enzyme activity on soils sampled from the LTER Dry Heath (organic soils only) and Moist Acidic Tundra (organic and mineral soils) herbivore exclosures and control plots at Toolik Lake, AK in July 2017
DOI: 10.15139/s3/dkoudy
title: Increasing the Value of Open Access Through Open Data Publication Policies

description: While some scholarly journals have demonstrated their commitment to research transparency and openness by issuing data policies that require authors to make their data available for validation and extension of published findings, many of these policies lack a mechanism for data review and verification. This project, funded by the Robert Wood Johnson Foundation (OAR 74419), seeks to identify the most effective and efficient methods for implementing data policies that incorporate these measures for supporting research transparency. Using an analysis of journal policies and surveys and interviews of editors, reviewers, and authors, the project will develop a model for robust data policy implementation that provides clear guidance on implementing robust data policies that support the discoverability, accessibility and usability of data underlying published articles.
DOI: 10.5281/zenodo.3552992
title: Cognitive maps examples for behavioural science journal

description: Cognitive maps examples for behavioural science journal
DOI: 10.5281/zenodo.3552991
title: Cognitive maps examples for behavioural science journal

description: Cognitive maps examples for behavioural science journal
DOI: 10.7910/dvn/3hjyo7/06tdj1
title: Bergeron.data.txt

description: :unav
DOI: 10.17632/5fd929tfnt.1
title: Data Visualization of the Social Media Content of Colombiamoda in Relation to the City Image Reconstruction of Medellín

description: This file is a table with processed data that presents a complex network analysis of social media content related to a mega event (Colombiamoda) and city branding (the city image of Medellín). The data was collected via a web scrapping from January to December 2017 in the platforms of Facebook, LinkedIn, Twitter, and Instagram, and using the hashtags of #Colombiamoda2017, #Colombiamoda, and #Medellín. The definitions of the columns in the table are: - Label: The name of the node that is identified in the network. - Clustering (Holland & Leinhardt, 1971): In graph theory, a clustering is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterized by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established between two nodes. - Degree (Reinhard, 2005): In graph theory, the degree (or valency) of a vertex of a graph is the number of edges that are incident to the vertex, and in a multigraph, loops are counted twice. - Pageranks (Brin & Page, 1998): An iterative algorithm that measures the importance of each node within the network. - Eccentricity (Alexandra & Wellman, 2011): the distance from a given starting node to the farthest node from it in the network. - Closeness centrality (Sabidussi, 1966): In a connected graph, closeness centrality (or closeness) of a node is a measure of centrality in a network, calculated as the reciprocal of the sum of the length of the shortest paths between the node and all other nodes in the graph. Thus, the more central a node is, the closer it is to all other nodes. - Harmonic closeness centrality (Marchiori & Latora, 2000): In a (not necessarily connected) graph, the harmonic centrality reverses the sum and reciprocal operations in the definition of closeness centrality. - Betweeness centrality (Freeman, 1977): In graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the vertices such that either the number of edges that the path passes through (for unweighted graphs) or the sum of the weights of the edges (for weighted graphs) is minimized. The betweenness centrality for each vertex is the number of these shortest paths that pass through the vertex.