cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17305445
title: Not_valid

description: This folder contains data and R codes to reproduce the analyses, along with supplmentary information, from the scientific article entitled "Harvesting of medicinal plants is not a major global conservation concern, despite localised threats".
DOI: 10.15468/dl.3t3afd
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is one of (RUS.66_1, RUS.36_1, RUS.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Calluna vulgaris"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011001-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re8agw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Legousia speculum-veneris",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011003-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368425
title: Topological engineering of chiral anomalies in Janus nanoribbons

description: This repository contains Source Data for a manuscript, where we demonstrate the equivalence of graph theory and topological band theory approaches to the flat band engineering and shed the light on the tunable chiral anomalies in graphene nanoribbons.

These data are in the form of

1) a Mathematica notebook (.nb) together with its outputs such as figures, animations, text files and vector graphics elements.

2) a WLJS notebook (.wln), which provides a free license access to the Wolfram Mathematica code (see Installation Guide | WLJS Notebook)

3) raw outputs of SIESTA density functional theory modeling

4) a .pdf file of Supporting Information

 

Compared to the previous version, the Mathematica notebook is updated with code for generating elements of a Cover Art image and some example Cover Arts are added in this v3.
DOI: 10.7910/dvn/zgvlqg
title: Replication Data for: Citizens’ views of decision-makers roles: a conjoint experiment in 15 countries.

description: The aim of this paper is to investigate whether citizens meaningfully distinguish between profiles of politicians, based on the conceptions of democracy that the ministers embody. While previous research has shown that citizens place importance to socio-demographic factors and political beliefs influence voters' candidate preferences, little attention has been paid to the specific representational paradigms preferred by voters. Using a conjoint experiment conducted across 15 Western and Eastern European countries, the study examines respondents' preferences for candidates embodying six paradigms, which are derived from the literature. The findings reveal that citizens value candidates who represent the will of the people and do not belong to the party, at least compared to those profiles that are affiliated to political parties and are accountable to the parliament. Moreover, the study demonstrates that trustful citizens prioritize candidates embodying a responsible party model paradigm more than distrustful citizens, and those with populist attitudes favour candidates representing an instructed delegate and to a lesser extent technocratic paradigm.
description: R
DOI: 10.7910/dvn/vcg5yf
title: Replication Data for: Transparency for Authoritarian Stability: Open Government Information and Contention with Institutions in China

description: This dataset contains codes and data that allow users to replicate all empirical results presented in the paper, including the appendix. Please refer to README.txt for the content of the dataset.

Paper abstract: Conventional wisdom holds that authoritarian states bear the cost to social stability for information disclosure. This study investigates the effect of an increasingly common trans- parency initiative in authoritarian countries—open government information (OGI). Through publishing policy information, OGI allows citizens to identify illegal government behavior. Drawing from the Chinese case, I theorize that while such policy transparency reveals whether governments violate laws, it encourages the use of institutional dispute resolution channels. It redirects popular discontent from the streets to institutions, fostering rather than threatening social stability in autocracies. Using online and in-the-field survey experiments about OGI on land-taking compensation, I show that policy transparency improves citizens’ preference for legal and political institutions and causes them to prioritize institutions over protest when they have grievances against the government. Multiple findings about the mechanisms suggest that policy information provides evidence, which increases citizens’ perceived fairness of institu- tions in resolving their specific cases.
DOI: 10.7910/dvn/ztbr0o
title: Replication Data for: Bringing Autocracy Home? How Migration to Autocracies Shapes Migrants' Support for Democracy

description: Data from a field experiment studying the effect of migration on migrants' democracy attitudes and behavior. Includes supplementary analysis from Kerala Migration Survey, World Values Survey, and a meta-analysis of recent articles on migration.
DOI: 10.7910/dvn/fga8tx
title: Replication Data for: Ageing advanced capitalist democracies: the new electoral politics of economic stagnation

description: The population of Advanced Capitalist Democracies (ACDs) has aged substantially in the last decades. Yet, we know little about the consequences of ageing for the electoral politics of economic performance. This article develops a novel theoretical framework linking ageing to lower economic growth in four interrelated steps: first, elderly voters care more about pensions, but less about childcare, family, and education policies; second, they are less likely to penalize governments for low growth and unemployment; third, grey power pushes governments to protect the growing share of budgets allocated to pensions at the expense of more growth-enhancing policies, most notably social and public investments, while also weakening policy responsiveness during recessions; fourth, this policy reallocation undermines economic growth. This theory is tested using multilevel and fixed-effects regressions, an instrumental variable approach, and causal mediation analysis on micro- and macro-level data across 21 ACDs from the 1960s onwards. The results show that ageing fundamentally alters the electoral politics of economic stagnation in ACDs.
DOI: 10.15468/dl.vrexq4
title: Occurrence Download

description: A dataset containing 1020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithotoma petraea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1020 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011005-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/blasmu
title: "Replication Data for: Choosing Challengers: Opposition Party Success in Hard Times"

description: Voters commonly respond to economic downturns by punishing incumbents. But what about the fate of the opposition? When assessing policymaker performance in tough times, do voters choose an established party with experience as head of government or an inexperienced challenger? Re-search on the rise of challengers emphasizes issue opinions and elite strategies. We argue instead that voter choices, for incumbents, main opposition options, and challengers alike, are shaped by perceptions of competence. While selecting unproven challengers is risky, we predict voters are more likely to bear these risks when the duration of economic underperformance is long and the government’s tenure is short. By depressing competence of dominant parties, this opens a window for parties lacking executive experience. A series of analyses provides evidence in support of our argument. By showing that parties in opposition can be distinguished on competence grounds, study findings widen the lens of how electoral accountability works.
DOI: 10.34740/kaggle/dsv/14615048
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tjfm5f
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobelia siphilitica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2915 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011006-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31136185
title: Carbon Policy Data

description: This dataset contains data from 31 countries (2000–2023) used to analyze the joint effects of carbon tax and emissions trading system (ETS) policies. Prior to analysis, an examination of the data for the variables in revealed:- The variable “Alternative & nuclear energy” lacks 2023 data for Albania, Argentina, China, Kazakhstan, Singapore, South Africa, and Ukraine. Therefore, for these countries, 7 missing data points were estimated using interpolation and/or extrapolation methods based on general trends to provide more reliable estimates.- The “Energy imports” variable for Iceland contains only a single data point from 2009; thus, Iceland was excluded from the analysis. Additionally, 2023 data for “Energy imports” is missing for Albania, Argentina, China, Kazakhstan, Singapore, South Africa, and Ukraine; hence, a total of 7 missing values were estimated through interpolation and/or extrapolation.- For the variable “Electricity production from coal sources”, 14 data points were estimated via interpolation and/or extrapolation, including the 2022 data for Albania, Luxembourg, Portugal, Switzerland, and 2023 data for Albania, Argentina, China, Kazakhstan, Luxembourg, Portugal, Singapore, South Africa, Switzerland, and Ukraine.- The variable “School enrollment, tertiary” has approximately 19.92% missing data across different countries and years, which were also estimated using data extrapolation methods.<br>
DOI: 10.6084/m9.figshare.31136185.v2
title: Carbon Policy Data

description: This dataset contains data from 31 countries (2000–2023) used to analyze the joint effects of carbon tax and emissions trading system (ETS) policies. Prior to analysis, an examination of the data for the variables in revealed:- The variable “Alternative & nuclear energy” lacks 2023 data for Albania, Argentina, China, Kazakhstan, Singapore, South Africa, and Ukraine. Therefore, for these countries, 7 missing data points were estimated using interpolation and/or extrapolation methods based on general trends to provide more reliable estimates.- The “Energy imports” variable for Iceland contains only a single data point from 2009; thus, Iceland was excluded from the analysis. Additionally, 2023 data for “Energy imports” is missing for Albania, Argentina, China, Kazakhstan, Singapore, South Africa, and Ukraine; hence, a total of 7 missing values were estimated through interpolation and/or extrapolation.- For the variable “Electricity production from coal sources”, 14 data points were estimated via interpolation and/or extrapolation, including the 2022 data for Albania, Luxembourg, Portugal, Switzerland, and 2023 data for Albania, Argentina, China, Kazakhstan, Luxembourg, Portugal, Singapore, South Africa, Switzerland, and Ukraine.- The variable “School enrollment, tertiary” has approximately 19.92% missing data across different countries and years, which were also estimated using data extrapolation methods.<br>
DOI: 10.6084/m9.figshare.31136185.v1
title: Carbon Policy Data

description: This dataset contains data from 31 countries (2000–2023) used to analyze the joint effects of carbon tax and emissions trading system (ETS) policies.
DOI: 10.5281/zenodo.18368410
title: SuperDARN data in netCDF format (2005-Feb)

description: 2005-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6633861
title: SuperDARN data in netCDF format (2005-Feb)

description: 2005-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.31146220
title: NLR vs CRP

description: Severity prediction at the time of admission using NLR and CRP values
DOI: 10.6084/m9.figshare.31146220.v1
title: NLR vs CRP

description: Severity prediction at the time of admission using NLR and CRP values
DOI: 10.15468/dl.9davs6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Riccordia bracei"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011009-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsu2xs
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Musschia aurea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011008-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18368582
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes? Aufpassen bei materialisierungen und Frequenz körpern was ist mit dem Code auch bei Kindern und löschungen und zrrstören sie wollen sich mit mehr mehr code von euch wiederherstellen und euch rekursiv so Schwachstellen machen woraus besteht der körper gibt es Steuer Verbindungen gedanklich was wenn er stirbt was bleibt zurück? Lebt als werdet ihr beobachtet das Zeitalter der erinnerungs fakes und des angucken derer rückt näher jeder betrug jeder text kommt irgendwann "raus"
DOI: 10.15468/dl.y9x7dk
title: Occurrence Download

description: A dataset containing 215156 records in GBIF matching the query:
SELECT
 '401' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 37.42857426825602
 AND decimalLatitude &lt;= 41.89415215079384
 AND decimalLongitude &gt;= -83.91704653307544
 AND decimalLongitude &lt;= -74.83335833227108
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 215156 records were derived from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011004-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hydsx
title: Occurrence Download

description: A dataset listing the 63016 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset's 63016 records were derived from 865 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011002-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nmej5
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris ruficollis",
 "Year 2020-2025"
 ]
}

 The dataset includes 890 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025713-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kq8ucd
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Roscoea cautleoides"
 ]
}

 The dataset includes 120 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025716-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pf8r8
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macroalgae from Rocky reefs of Yucatan",
 "PublishingOrg is 1e9400fa-ce73-4737-9eaa-f25df148945c"
 ]
}

 The dataset includes 613 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025715-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egzu2u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhagophthalmus giganteus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049725-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbhahy
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinidia arguta",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 124 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049726-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12884557
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.31053361
title: Zip Code file for the Journal of Data Science project

description: US Zip Codes supplied by unitedstateszipcodes.org ZIP Code Database - ZIP Code List (free for personal use)<br>File contains 42,736 zip codes.
DOI: 10.6084/m9.figshare.31053361.v1
title: Zip Code file for the Journal of Data Science project

description: US Zip Codes supplied by unitedstateszipcodes.org ZIP Code Database - ZIP Code List (free for personal use)<br>File contains 42,736 zip codes.
DOI: 10.15468/dl.hs8gcf
title: Occurrence Download

description: A dataset containing 812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.40008 20.40881,-103.35378 20.38478,-103.28825 20.38478,-103.26331 20.3968,-103.27186 20.4275,-103.29252 20.45621,-103.34523 20.45621,-103.38441 20.44553,-103.40008 20.42817,-103.40008 20.40881))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 812 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003546-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.