cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24143247.v1
title: Cyber Siege Economics Dataset

description: This dataset provides insights into cyberattacks on local governments in the U.S. for the year 2019. It aims to capture the state, local government names, the type of exploit used, population, average age, racial diversity percentage, income, IT budget, attack occurrence, and a metric labeled as "BR" that is the total budgetary percentage increase or decrease following the 2019 ransomware cyberattacks against U.S. local governments (2019 budgeted + 2019actual spent + 2020 budgeted + 2020 actual spent).
DOI: 10.15468/dl.easctq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salariopsis fluviatilis, Gnathochromis pfefferi, Chalinochromis brichardi, Chalinochromis cyanophleps, Chalinochromis popelini)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-17.8486 14.3198, -17.2612 13.8841, -17.2879 12.4225, -17.18 12.1194, -16.8618 11.8636, -16.8618 16.9131, -16.9262 16.7412, -17.0293 15.9092, -17.4711 15.2969, -17.9089 15.085, -18.0432 14.7429, -17.8486 14.3198)), ((-17.0425 19.3358, -16.8618 19.0648, -16.8618 20.0599, -16.8618 22.7792, -17.2424 22.4474, -17.4477 21.9344, -17.5933 20.7331, -17.3825 20.3945, -16.8996 20.2064, -16.9237 20.0599, -17.0425 19.3358)), ((-22.1649 16.0843, -22.476 17.116, -22.919 17.3554, -23.2862 17.2255, -23.4937 16.8096, -23.4003 15.7935, -23.8743 15.8233, -24.2178 15.531, -24.9647 15.3946, -25.2488 14.8377, -25.0969 14.4751, -24.7024 14.3018, -23.9298 14.5093, -23.3237 14.4311, -22.7909 14.7585, -22.613 15.0206, -22.6491 15.5015, -22.293 15.7351, -22.1649 16.0843)), ((-24.4834 16.006, -23.7746 16.1142, -23.5201 16.4576, -23.6874 16.958, -24.4615 17.1985, -24.6665 17.5286, -25.0075 17.6984, -25.6349 17.4955, -25.8608 17.0483, -25.642 16.5416, -24.4834 16.006)), ((-16.9054 11.0599, -16.8783 10.9799, -16.8618 10.97, -16.8618 11.0599, -16.9054 11.0599)), ((55.1382 -21.6954, 55.6087 -21.8876, 56.1388 -21.7124, 56.3374 -21.1838, 56.0195 -20.5719, 55.451 -20.3718, 55.1382 -20.4922, 55.1382 -21.6954)), ((58.1423 -20.734, 58.3101 -20.2751, 58.2432 -19.5708, 57.8054 -19.3157, 57.2737 -19.5421, 56.8082 -20.4638, 57.1232 -20.9316, 57.7947 -20.9681, 58.1423 -20.734)), ((62.8573 -19.9632, 63.2761 -20.2678, 63.6834 -20.2184, 63.9886 -19.8334, 63.9308 -19.4311, 63.5893 -19.1874, 63.1146 -19.2368, 62.8095 -19.6209, 62.8573 -19.9632)), ((59.1248 -17.1702, 59.3519 -17.3042, 59.9568 -17.101, 60.2121 -16.521, 59.9717 -15.9401, 59.2192 -15.9401, 58.9855 -16.8095, 59.1248 -17.1702)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001715-250914085247600/datasets/export for details.
DOI: 10.15468/dl.v7b7j5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vojmirophthalmus nacreus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001713-250914085247600/datasets/export for details.
DOI: 10.15468/dl.b42v4b
title: Occurrence Download

description: A dataset containing 3007 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UCDavis - Western USA - Monarch Butterflies - 1892-2005"
 ]
}

 The dataset includes 3007 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001714-250914085247600/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.24143247
title: Cyber Siege Economics Dataset

description: This dataset provides insights into cyberattacks on local governments in the U.S. for the year 2019. It aims to capture the state, local government names, the type of exploit used, population, average age, racial diversity percentage, income, IT budget, attack occurrence, and a metric labeled as "BR" that is the total budgetary percentage increase or decrease following the 2019 ransomware cyberattacks against U.S. local governments (2019 budgeted + 2019actual spent + 2020 budgeted + 2020 actual spent).
DOI: 10.15468/dl.63uvv2
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemigrammus rhodostomus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 128 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001716-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpffue
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salariopsis fluviatilis, Gnathochromis pfefferi, Chalinochromis brichardi, Chalinochromis cyanophleps, Chalinochromis popelini)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Modified date invalid)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((59.2345 -15.8834, 59.2192 -15.9401, 59.9717 -15.9401, 59.949 -15.8852, 59.5935 -15.7371, 59.2345 -15.8834)), ((57.0534 -10.8396, 57.1988 -10.5508, 57.1156 -10.1867, 56.7115 -9.8521, 56.2347 -9.9832, 56.0941 -10.3875, 56.3286 -10.8413, 56.6862 -10.991, 57.0534 -10.8396)), ((56.2582 -7.6751, 56.5989 -7.542, 56.789 -7.1822, 56.7426 -6.9401, 55.8366 -6.9401, 55.7807 -7.0342, 55.8667 -7.4864, 56.2582 -7.6751)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001717-250914085247600/datasets/export for details.
DOI: 10.15468/dl.reqwzj
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oreochromis leucostictus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1172 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001720-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjkajk
title: Occurrence Download

description: A dataset containing 86556 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana asclepiadea"
 ]
}

 The dataset includes 86556 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001653-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89uu73
title: Occurrence Download

description: A dataset containing 48104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium phaeum"
 ]
}

 The dataset includes 48104 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001719-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umr5np
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oligosarcus macrolepis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001723-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ybwp3
title: Occurrence Download

description: A dataset containing 47213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium palustre"
 ]
}

 The dataset includes 47213 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001722-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pafmpj
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((8.75293 36.97036,8.5029 36.60672,8.92504 36.7325,9.13836 36.90915,9.44512 37.01417,9.6724 37.3489,9.1942 37.25734,8.75293 36.97036))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2022-2022"
 ]
}

 The dataset's 4 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003600-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ntdjw
title: Occurrence Download

description: A dataset containing 1159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon nettingi Green, 1938)"
 ]
}

 The dataset includes 1159 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003607-250415084134356/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/9006113
title: WallStreetBets 2022
DOI: 10.15148/6ebdd0f5-49a8-416b-a13f-abdece8c1c74
title: Epos-France - GPSMob data - Mission n° 11-227 - Fougère (35) (2011) - 2011-01-02 / 2012-01-01 - 4 points

description: Epos-France - GPSMob data from the mission n°11-227 in Fougère (35) (2011).Responsibles: Olivier Dauteuil. Mission started on 2011-01-02 and ended on 2012-01-01. Data were measured on 4 points. The data for each mission is organized in several subdirectories: (i) raw: contains what has been identified as raw data, if ever provided; (ii) rinex: contains the rinex files, possibly split by day, renamed in lower case and with the most likely point name, in d.Z format; (iii) meta: contains all other files (calculation configuration files, field logs, photos, etc.) The automatic verification procedure generates station.info.insu and compte_rendu_de_traitement_insu.txt files.
DOI: 10.15468/dl.t4gzrv
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Weinmannia racemosa L.fil."
 ]
}

 The dataset includes 559 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031990-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hba7s5
title: Occurrence Download

description: A dataset containing 5336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea L."
 ]
}

 The dataset includes 5336 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031989-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqfjwy
title: Occurrence Download

description: A dataset containing 49152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Pinus ponderosa Douglas ex C.Lawson"
 ]
}

 The dataset includes 49152 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mxck3
title: Occurrence Download

description: A dataset containing 5543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metrosideros robusta A.Cunn."
 ]
}

 The dataset includes 5543 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031992-240626123714530/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.26343808
title: Data Set for paper: The Predictors of COVID-19 Case Fatalities in Nigerian Health Systems: A Secondary Data Analysis

description: The study assesses the impacts of the Nigerian Health Systems on COVID-19 fatalities. The researchers evaluated the association between healthcare system capability and mortality rate of COVID-19 patients through adjustments for healthcare spending as a proportion of the GDP, population density, and the proportion of the population that are 65 years and above across the 36 States and the Federal Capital Territory (FCT), Abuja.
DOI: 10.6084/m9.figshare.26343808.v1
title: Data Set for paper: The Predictors of COVID-19 Case Fatalities in Nigerian Health Systems: A Secondary Data Analysis

description: The study assesses the impacts of the Nigerian Health Systems on COVID-19 fatalities. The researchers evaluated the association between healthcare system capability and mortality rate of COVID-19 patients through adjustments for healthcare spending as a proportion of the GDP, population density, and the proportion of the population that are 65 years and above across the 36 States and the Federal Capital Territory (FCT), Abuja.
DOI: 10.15468/dl.qx3z6b
title: Occurrence Download

description: A dataset containing 11031 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Knightia excelsa R.Br."
 ]
}

 The dataset includes 11031 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031994-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43ewvj
title: Occurrence Download

description: A dataset containing 3519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ixerba brexioides A.Cunn."
 ]
}

 The dataset includes 3519 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031995-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bv9h5
title: Occurrence Download

description: A dataset containing 175970 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Keys Reef Visual Census 1997"
 ]
}

 The dataset includes 175970 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031993-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12791857
title: Matriz del artículo 20 años de investigación en transmedia

description: Este documento forma parte del artículo científico: 20 años de investigación en transmedia: Definiciones, metodologías y campos de estudio
DOI: 10.5281/zenodo.12791858
title: Matriz del artículo 20 años de investigación en transmedia

description: Este documento forma parte del artículo científico: 20 años de investigación en transmedia: Definiciones, metodologías y campos de estudio
DOI: 10.15468/dl.t66u97
title: Occurrence Download

description: A dataset containing 11197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kunzea ericoides (A.Rich.) J.Thomps."
 ]
}

 The dataset includes 11197 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031996-240626123714530/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.26066269
title: Source data for graphs of "The Southern Ocean carbon sink has been overestimated in the past three decades" in Communications Earth & Environment (https://doi.org/10.1038/s43247-024-01566-6).

description: Source data for graphs and charts of "The Southern Ocean carbon sink has been overestimated in the past three decades" in Communications Earth & Environment.
DOI: 10.6084/m9.figshare.26066269.v1
title: Source data for graphs of "The Southern Ocean carbon sink has been overestimated in the past three decades" in Communications Earth & Environment

description: Source data for graphs and charts of "The Southern Ocean carbon sink has been overestimated in the past three decades" in Communications Earth & Environment.
DOI: 10.15468/dd.hauxzn
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dd.3sdaa6
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dl.5prbhs
title: Occurrence Download

description: A dataset containing 17664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus L.",
 "Country is one of (United States of America, Canada)",
 "Year is greater than or equal to 1979"
 ]
}

 The dataset includes 17664 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031999-240626123714530/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.26343856
title: Data,Figure,Code.zip

description: In this study, an ensemble adjustment Kalman filter (EAKF) based full-grid parameter optimization scheme, namely the EAKF-smoothing (EAKF-S) scheme, is proposed. By smoothing the ensemble members of posterior parameters, full-grid parameter optimization is successfully realized. A Bohai Sea and Yellow Sea tide model (BYM) was built, which models the 8 principal tidal constituents simultaneously. Twin and practical experiments of bathymetry estimation were conducted based on water level observations. By applying the EAKF-S, forecasting accuracy of the BYM model was significantly improved. The effectiveness and robustness of the EAKF-S method were confirmed. This study provides a practical solution for the optimization of geographic parameters, benefit to determining spatial varying parameters in ocean modelling.
DOI: 10.6084/m9.figshare.26343856.v1
title: Data,Figure,Code.zip

description: In this study, an ensemble adjustment Kalman filter (EAKF) based full-grid parameter optimization scheme, namely the EAKF-smoothing (EAKF-S) scheme, is proposed. By smoothing the ensemble members of posterior parameters, full-grid parameter optimization is successfully realized. A Bohai Sea and Yellow Sea tide model (BYM) was built, which models the 8 principal tidal constituents simultaneously. Twin and practical experiments of bathymetry estimation were conducted based on water level observations. By applying the EAKF-S, forecasting accuracy of the BYM model was significantly improved. The effectiveness and robustness of the EAKF-S method were confirmed. This study provides a practical solution for the optimization of geographic parameters, benefit to determining spatial varying parameters in ocean modelling.
DOI: 10.15468/dl.bv4ctz
title: Occurrence Download

description: A dataset containing 220909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is one of (Coprinopsis cinerea (Schaeff.) Redhead, Vilgalys & Moncalvo)",
 "TaxonKey is one of (Irpex consors Berk.)",
 "TaxonKey is one of (Fomes fomentarius (L.) Fr.)",
 "TaxonKey is one of (Fomitopsis pinicola (Sw.) P.Karst.)"
 ]
 }
 ]
}

 The dataset includes 220909 records from 501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031997-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12791882
title: Base de datos slr 2024
DOI: 10.5281/zenodo.12791883
title: Base de datos slr 2024
DOI: 10.5281/zenodo.10714795
title: ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms

description: Dataset for forthcoming preprint/paper on rumors in the 2022 U.S. midterm elections. Abstract from this forthcoming paper is attached below.

 

Understanding the spread of online rumors is a pressing societal challenge and an active area of research across domains. In the context of the 2022 U.S. midterm elections, one influential social media platform for sharing information — including rumors that may be false, misleading, or unsubstantiated — was Twitter (now renamed X). To increase understanding of the dynamics of online rumors about elections, we present and analyze a dataset of 1.81 million Twitter posts corresponding to 135 distinct rumors which spread online during the midterm election season (September 5 to December 1, 2022). We describe how this data was collected, compiled, and supplemented, and provide a series of exploratory analyses along with comparisons to a previously-published dataset on 2020 election rumors. We also conduct a mixed-methods analysis of three distinct rumors about the election in Arizona, a particularly prominent focus of 2022 election rumoring. Finally, we provide a set of potential future directions for how this dataset could be used to facilitate future research into online rumors, misinformation, and disinformation.



 

Funding for this work has come from the University of Washington’s Center for an Informed Public, the John S. and James L. Knight Foundation (G-2019-58788), Craig Newmark Philanthropies, the William and Flora Hewlett Foundation, the Election Trust Initiative, the National Science Foundation (grant #1749815 and grant #2120496) and NSF Graduate Research Fellowships under Grant No DGE-2140004, for both Joseph S. Schafer and Kayla Duskin. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funders.

 

Joseph S. Schafer and Kayla Duskin are co-first authors on this paper.