cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t9yvpb
title: Occurrence Download

description: A dataset containing 1501 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrops triangularis (Wagler, 1824)"
 ]
}

 The dataset includes 1501 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000669-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrzptr
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nototriche parviflora (Phil. ex Baker fil.) A.W.Hill"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179030-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2txcrf
title: Occurrence Download

description: A dataset containing 1057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-74.60042 40.51972,-74.40146 40.51972,-74.40146 40.69255,-74.60042 40.69255,-74.60042 40.51972))",
 "MediaType is Image",
 "TaxonKey is Insecta",
 "Year 1655-2014"
 ]
}

 The dataset includes 1057 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003388-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3t5yq
title: Occurrence Download

description: A dataset containing 938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Puebla",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 938 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086328-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn6ch4
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sacodes LeConte, 1853",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311989-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm9yuw
title: Occurrence Download

description: A dataset containing 68373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viscaria vulgaris Röhl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 68373 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120475-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4bmke
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nannophrys marmorata Kirtisinghe, 1946"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297847-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mcc6s
title: Occurrence Download

description: A dataset containing 153811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria alsine Grimm",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 153811 records from 748 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120492-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kas3h7
title: Occurrence Download

description: A dataset containing 3813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chauna chavaria (Linnaeus, 1766)"
 ]
}

 The dataset includes 3813 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168222-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f2jcs
title: Occurrence Download

description: A dataset containing 585939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea abies (L.) H.Karst.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 585939 records from 1148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120478-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1znv7wp
title: Acoustic Doppler Current Profiler Data for Irondequoit and Sodus Bays in Central New York, 2023

description: This data release contains acoustic Doppler current profiler (ADCP) data collected in 2023 from two uplooking tripods in bays of Lake Ontario in Central New York. Data were collected at Irondequoit Bay (USGS station number 431314077315901) and at Sodus Bay (USGS station number 431533076582101). Data are organized by bay in child item datasets containing the raw binary data files from the ADCPs as well as tabulated text files of echo intensity, backscatter, velocity, and ancillary data. Tables were created by processing raw data files in R-language oceanographic package OCE (Kelley and others, 2022) and TRDI WinRiver II (Teledyne RD Instruments, 2007). All aggregation, manual magnetic variation calculations, and post-processing were completed using Python libraries pandas (McKinney, 2010) and NumPy (Harris and others, 2020).
DOI: 10.15468/dl.rugpur
title: Occurrence Download

description: A dataset containing 986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linnaea borealis L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 986 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002947-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3d6vx2
title: Occurrence Download

description: A dataset listing the 48 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Abundance of macrobenthos organisms in the northern Wadden Sea in 2010"
 ]
}

 The dataset's 48 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025196-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgm6wt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Acorigone zebraneus Wunderlich, 2008",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025210-241007104925546/datasets/export for details.
DOI: 10.6084/m9.figshare.27264054.v2
title: Gadolinium Retention Estimation Tool

description: Spot urine or chelate-provoked urine gadolinium concentrations are often measured in patients with complaints following Gd-CM administration. However, interpreting these results can be challenging, as gadolinium excretion depends on the toxicokinetics of the specific contrast agent, which is renally cleared over an extended period and partly stored long-term in the body. There is some confusion among physicians about normal ranges of gadolinium concentrations in spot and chelate-enhanced urine samples, particularly in relation to the time elapsed since Gd-CM exposure.The estimator in this Excel file provides a tool for estimating individual gadolinium retention and excretion capacity based on the time-lapse (in months) between the administration of Gd-CM and urine sample collection. Users can input spot urine and Chelate-Evoked Metal Excretion Test (CEMET) urine concentrations in µg/g creatinine. These values are then aggregated into norm-regression curves with ±95% Confidence Intervals (CI). The norm curves are based on data from 54 patient samples. Spot urine samples were collected from patients in the morning while fasting. Following this, a standard intravenous infusion of 600 mg glutathione, 1.9 g Na-Ca-EDTA, and 250 mg DMPS was administered, with CEMET urine collected two hours after infusion. This combination of metal excretion agents was designed to enhance sensitivity and broaden the spectrum of metals captured by the Chelate-Evoked Metal Excretion Test (CEMET). Notably, Na-Ca-EDTA is effective at binding and promoting the urinary excretion of gadolinium and can be used as an alternative to Zn-DTPA for this purpose. The tool generates two separate regression curves: one for short- to medium-term gadolinium retention (&lt;24 months, located in Sheet 1) and another for long-term retention (2–10 years, located in Sheet 2), as the slopes of the norm curves differed between these periods.Sheet 3 provides a Python script for generating norm diagrams and aggregating patient data. This script can be adapted to specific patient subsets, such as those distinguished by renal function, lifetime gadolinium exposure, or specific Gd-CM types or brands. While the tool helps estimate the degree of gadolinium retention in tissues after defined intervals following Gd-CM administration, it should be noted that elevated gadolinium retention values do not necessarily correlate with symptoms. Some patients with typical retention values may exhibit symptoms, while patients with elevated retention may remain asymptomatic.Increased sensitivity to gadolinium and related pathology appears to involve autoimmune mechanisms or predisposing factors, such as decreased metal tolerance and increased pre-exam metal exposure, which are not directly correlated with gadolinium concentrations in blood. Thus, this tool is valuable for estimating individual gadolinium retention after exposure to Gd-CM, but it is not intended to determine toxicity levels.
DOI: 10.15468/dl.n6j9yj
title: Occurrence Download

description: A dataset containing 9576 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Isoetes malinverniana Ces. & De Not., Marsilea quadrifolia L., Carabus olympiae Sella, 1855)"
 ]
}

 The dataset includes 9576 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025209-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksmhfs
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pseudeuophrys vafra (Blackwall, 1867)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 77 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025211-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/k3oijq/gzurtx
title: EAC.csv

description: [Please use updated version 1.1] Original uploaded version for cataloging purposes.
DOI: 10.7910/dvn/k3oijq/wlqquj
title: Ethnic Armed Conflict Coding.pdf

description: Coding rules
DOI: 10.7910/dvn/0szmzq/h79uyx
title: AppendixEthnicPoliticsArmedConflict.pdf

description: Appendix with coding rules for the EPR dataset and additional tables
DOI: 10.7910/dvn/0szmzq/nb3dnf
title: EPRGroupsRebelReplication.tab

description: Replication data file for Why Do Ethnic Groups Rebel?
DOI: 10.7910/dvn/0szmzq/p2ibjg
title: EPREthnicPoliticsArmedConflictReplication.tab

description: Contains all data to replicate the Wimmer/Cederman/Min ASR paper plus additional country level variables derived from the EPR dataset.
DOI: 10.7910/dvn/0szmzq/twu4w7
title: EPRGroupsRebelReplication.do

description: Stata do-file to replicate Why Do Ethnic Groups Rebel?
DOI: 10.7910/dvn/0szmzq/aa7bmx
title: WhyGroupsRebel.pdf

description: Much of the quantitative literature on civil wars and ethnic conflict ignores the role of the state or treats it as a mere arena for political competition among ethnic groups. Other studies analyze how the state grants or withholds minority rights and faces ethnic protest and rebellion accordingly, while largely overlooking the ethnic power configurations at the state’s center. Drawing on a new dataset on Ethnic Power Relations (EPR) that identifies all politically relevant ethnic groups and their access to central state power around the world from 1946 through 2005, we analyze outbreaks of armed conflict as the result of competing ethno-nationalist claims to state power. Our findings indicate that representatives of ethnic groups are more likely to initiate conflict with the government (1) the more excluded from state power they are, especially if they have recently lost power, (2) the higher their mobilizational capacity, and (3) the more they have experienced conflict in the past.
DOI: 10.7910/dvn/0szmzq/imnhnl
title: GeoEPRFinal.pdf

description: This article introduces GeoEPR, a geocoded version of the Ethnic Power Relations (EPR) dataset that charts politically relevant ethnic groups across space and time. We describe the dataset in detail, discuss its advantages and limitations, and use it in a replication of Cederman, Wimmer and Min’s (2010) study on the causes of ethno-nationalist conflict. We show that territorial conflicts are more likely to involve groups that settle far away from the capital city and close to the border, while these spatial variables have no effect for governmental conflicts
DOI: 10.7910/dvn/0szmzq/ktux6m
title: EthnicPoliticsArmedConflict.pdf

description: Quantitative scholarship on civil wars has long debated whether ethnic diversity breeds armed conflict. We go beyond this debate and show that highly diverse societies are not more conflict prone. Rather, states characterized by certain ethnopolitical configurations of power are more likely to experience violent conflict. First, armed rebellions are more likely to challenge states that exclude large portions of the population on the basis of ethnic background. Second, when a large number of competing elites share power in a segmented state, the risk of violent infighting increases. Third, incohesive states with a short history of direct rule are more likely to experience secessionist conflicts. Ethnic politics is as powerful and robust in predicting civil wars as is a country’s level of economic development. More diverse states, on the other hand, are not more likely to suffer from violent conflict.
DOI: 10.7910/dvn/ndjujm/47sm6o
title: EPR_countryyear_v1.1.tab

description: EPR country-year dataset based on MASTER_EPR_v1.1. Updated February 10, 2010.
DOI: 10.7910/dvn/ndjujm/ixcl1y
title: CodingRulesEPR.pdf

description: Coding rules for identifying politically relevant ethnic groups and their access to central state power.
DOI: 10.7910/dvn/ndjujm/kjbory
title: EPR_groupyear_v1.1.tab

description: EPR group-country-year dataset based on MASTER_EPR_v1.1.  Updated February 10, 2010.
 
 IMPORTANT: Users who downloaded the "Stata" file prior to January 6, 2012 may have received a corrupted file (with numerous duplicate observations) due to a Dataverse server error. The error has been corrected and you should download the file again.
DOI: 10.7910/dvn/ndjujm/qtqymn
title: EPR_countryyear_varlist.csv

description: Variable list for EPR country-year dataset.
DOI: 10.7910/dvn/ccf1mm/9fdvsh
title: geoepr-v1.0.zip

description: GeoEPR provides the regional bases and settlement patters of the ethnic groups included in the Ethnic Power Relations dataset (EPR). The data is provided in GIS (geographic information system) shapefile format.
DOI: 10.7910/dvn/ccf1mm/mzxsum
title: GeoEPR_Codebook.pdf
DOI: 10.7910/dvn/ndjujm/9xl21r
title: EPR_groupyear_varlist.csv

description: Variable list for EPR group-country-year dataset.
DOI: 10.7910/dvn/ndjujm/bpunem
title: MASTER_EPR_v1.1.csv

description: Summary of EPR codings in country-group-period format. Updated February 10, 2010.
DOI: 10.7910/dvn/23129/bwcajz
title: 1ChaseManhattanPlaza1960s.jpg
DOI: 10.7910/dvn/gcaixd/aox3u2
title: All schools summary.xlsx

description: All non-textual data from all respondents
DOI: 10.7910/dvn/gcaixd/bxg37i
title: Large schools Demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from large schools (1001+ JD students), all questions
DOI: 10.7910/dvn/gcaixd/jvkmtm
title: All schools demographics crosstab.xlsx

description: Demographic cross tabulation for all questions, for all respondents
DOI: 10.7910/dvn/gcaixd/orrufx
title: All schools Q9 crosstab.xlsx

description: Cross tabulation of all responses based on choice of starting point and reason behind that choice (Q9 of the survey)
DOI: 10.7910/dvn/gcaixd/yeu0yq
title: Large schools Q9 crosstab.xlsx

description: Cross tabulation of data from large school (1001+ JD students) respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/fovaxv
title: Private schools Q9 crosstab.xlsx

description: Cross tabulation of data from private school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/j8nbh2
title: Medium schools demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from medium sized schools (501-1000 JD students), all questions
DOI: 10.7910/dvn/gcaixd/leczde
title: Medium Schools summary.xlsx

description: Non-textual data from respondents from medium sized schools (500-1000 JD students)
DOI: 10.7910/dvn/gcaixd/nc78p3
title: Medium schools Q9 crosstab.xlsx

description: Cross tabulation of data from medium sized school (501-1000 JD students) respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/q21o4n
title: Private schools demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from private schools, all questions
DOI: 10.7910/dvn/gcaixd/w96uvf
title: Large schools summary.xlsx

description: Non-textual data from respondents from large schools (1001+ JD students)
DOI: 10.7910/dvn/23131/ys1z3l
title: logo_chasemanhattan.gif
DOI: 10.7910/dvn/gcaixd/3jwbsb
title: Public schools summary.xlsx

description: Non-textual data from respondents from public schools
DOI: 10.7910/dvn/gcaixd/8fsyr7
title: Public schools demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from public schools, all questions
DOI: 10.7910/dvn/gcaixd/dajxle
title: Small schools Q9 crosstab.xlsx

description: Cross tabulation of data from small school (up to 500 JD students) respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/jfaknv
title: Private schools summary.xlsx

description: Non-textual data from respondents from private schools
DOI: 10.7910/dvn/gcaixd/txzu5v
title: Small schools demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from small schools (up to 500 JD students), all questions
DOI: 10.7910/dvn/gcaixd/tzryq9
title: Public schools Q9 crosstab.xlsx

description: Cross tabulation of data from public school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/4rxyie
title: Small schools summary.xlsx

description: Non-textual data from respondents from small schools
DOI: 10.7910/dvn/gcaixd/4tbhfi
title: Standalone schools Q9 crosstab.xlsx

description: Cross tabulation of data from standalone school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/dyyk8u
title: Standalone schools demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from standalone schools, all questions
DOI: 10.7910/dvn/gcaixd/fghbjm
title: Survey with explanations for coding and piping.docx

description: Word document explaining the coding and piping used in distributing the survey
DOI: 10.7910/dvn/gcaixd/ldfaz8
title: Summary of All Schools without Comments.pdf

description: PDF summary version of all non-textual data from all respondents
DOI: 10.7910/dvn/gcaixd/x5txnw
title: Standalone schools summary.xlsx

description: Non-textual data from respondents from standalone schools
DOI: 10.7910/dvn/gcaixd/a1md07
title: Tier 1 summary.xlsx

description: Non-textual data from respondents from tier 1 schools
DOI: 10.7910/dvn/gcaixd/bxoya7
title: Tier 2 Q9 crosstab.xlsx

description: Cross tabulation of data from tier 2 school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/ccgedu
title: Survey with explanations for coding and piping.pdf

description: PDF/A version of Word document explaining the coding and piping used in distributing the survey
DOI: 10.7910/dvn/gcaixd/ixhvdl
title: Tier 2 demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from tier 2 schools, all questions
DOI: 10.7910/dvn/gcaixd/kednjf
title: Tier 1 demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from tier 1 schools, all questions
DOI: 10.7910/dvn/gcaixd/rdjpoc
title: Tier 1 Q9 crosstab.xlsx

description: Cross tabulation of data from tier 1 school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/23421/c8ivzx
title: Budget TRaC Population Generale.doc
DOI: 10.7910/dvn/23421/ciel1t
title: BF_BASE_TRaC_VIH_PG_Combinee 2010_2013_2.tab
DOI: 10.7910/dvn/23421/ywlrdf
title: Burkina (2013) HIV_general population_NB_Revised.docx
DOI: 10.7910/dvn/gcaixd/2tplvh
title: Tier 3 Q9 crosstab.xlsx

description: Cross tabulation of data from tier 3 school respondents on starting point and reason for starting point (Q9 of survey)
DOI: 10.7910/dvn/gcaixd/eckiy8
title: Tier 4 demographics crosstab.xlsx

description: Demographics cross tabulation for respondents from unranked schools, all questions
DOI: 10.7910/dvn/gcaixd/lrmqvc
title: Tier 3 summary.xlsx

description: Non-textual data from respondents from tier 3 schools
DOI: 10.7910/dvn/gcaixd/o5h74b
title: Tier 2 summary.xlsx

description: Non-textual data from respondents from tier 2 schools