cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/4ajdvo/5fc5h4
title: NGC5610_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/85lldl
title: NGC5610_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/khtjvx
title: NGC5610_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/kpm4j7
title: NGC5548_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/kwjfi2
title: NGC5674_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/pmzrye
title: NGC5610_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/96ajmc/7fvj0g
title: PresOutcomeBilateral150611-a.pdf
DOI: 10.7910/dvn/96ajmc/dlzndk
title: Results150421-merged.tab
DOI: 10.7910/dvn/96ajmc/fjlnu1
title: presidentnames.tab
DOI: 10.7910/dvn/96ajmc/i6cob2
title: pValuePlot150707.R
DOI: 10.7910/dvn/96ajmc/lgftqc
title: PresForceBilateral151109-a.tiff
DOI: 10.7910/dvn/96ajmc/primuy
title: PresOutcomeBilateral151109-a.tiff
DOI: 10.7910/dvn/wtugfz/mimwxo
title: 1.READ ME for  Intuitive Ethics and Political Orientations.2.28.pdf

description: Read Me
DOI: 10.7910/dvn/4ajdvo/1uevac
title: NGC5674_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/5kolwh
title: NGC5683_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/828l79
title: NGC5674_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/roey6t
title: NGC5674_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/yhtdoi
title: NGC5683_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/96ajmc/zhcfeh
title: USPres2010-10-13.tab
DOI: 10.7910/dvn/wtugfz/7fjjd3
title: DD1.Data.Dictionary.Australian.Primary.Phenotypes.2.28.16.pdf

description: Varnames, descriptions and values for the primary Australian data (DF1.Australian.Primary.Phenotypic.data)
DOI: 10.7910/dvn/wtugfz/fayfht
title: DD6.Data.Dictionary.Twin.Analyses.pdf

description: Data Dictionary for the TwinData File
DOI: 10.7910/dvn/wtugfz/pxtsp8
title: DD2-4.Data.Dictionary.Moral_Foundations 2-5-16.pdf

description: Varnames and coding for the replication data sets
DOI: 10.7910/dvn/wtugfz/uvu5f4
title: DF1.Australian.Primary.Phenotypic.data..2.28.16.tab

description: This data is the primary data set. The varnames and coding are described in the file DD1.Data.Dictionary.Australian.Primary.Phenotypes
DOI: 10.7910/dvn/wtugfz/ybmjgu
title: DD5.Data.Dictionary.SEM.3.1.2016.pdf

description: Data Dictionary for SEM and Cross Lag Data File
DOI: 10.7910/dvn/wtugfz/zd33pa
title: DF2.Moral_Foundations pilot.tab

description: This data set contains the student sample data for Table S5
DOI: 10.7910/dvn/4ajdvo/af3bnf
title: NGC5683_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/df2uyf
title: NGC5728_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/pkcsin
title: NGC5683_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/sd6giw
title: NGC5728_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/v0yqfd
title: NGC5728_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/wtugfz/bk0qwy
title: DF5.SEMOCT26.dat

description: This is the data file for the SEM and cross lagged analyses. This file is derived from the Australian phenotypes file. The famids and unique ids are not the actual ids- for protection of the participants identity these numbers have been replaced with randomly generated numbers but keep the integrity of the family identifier.
DOI: 10.7910/dvn/wtugfz/bpvdz6
title: S1.phenotypic.script.Australia.txt

description: This file contains the variable coding, and scripts for the correlations, factor analyses, and reliability analyses in SPSS and can reproduce Tables 1, 2, S2, S3, S4, S6, S7, S8, S9, S10. The data to use with this script is DF1.Australian.Primary.Phenotypic.data.sav. Please email Kevin Smith for any questions on this script or these analyses.
DOI: 10.7910/dvn/wtugfz/e2nat9
title: DF3.Moral_Foundations11Oct.tab

description: This data set contains the Mturk Sample 1 data for Table S5
DOI: 10.7910/dvn/wtugfz/psovqx
title: DF6.TwinJun27.dat

description: Data File for Twin Analyses.
We highly recommend that interested persons create a new dat file for twin analyses based on their own interest. That is create a file based on the primary data set. We supplied our dat file for the twin analyses to allow for perfect replication and to make it easier for others to see the results and play with different configurations , dropping parameters, etc.  But twin analyses can be as much art as science, and what you put in is what you get out.  How one creates a factor score, sum scores, drops items, listwise versus casewise deletion, the choice of stats package, method, starting values, and thousands of others decisions that are analyst specific may change the results.
DOI: 10.7910/dvn/wtugfz/qiop6x
title: DF4.Moral_Foundations28Oct.tab

description: This data set contains the Mturk Sample 2 data for Table S4
DOI: 10.7910/dvn/wtugfz/qipcvs
title: S2.US.replication.samples.script.sps

description: The file S2.US.replication.samples.script  contains the variable coding, and scripts for the correlations, factor analyses, and reliability analyses for the three US replication studies. The script is in SPSS and can reproduce Table S5. The data to use with this script is Moral_Foundations.sav, Moral_Foundations11Oct.sav, Moral_Foundations28Oct. sav. Please email Kevin Smith for any questions on this script or these analyses.
DOI: 10.7910/dvn/4ajdvo/4azh4e
title: NGC5728_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/bucryk
title: NGC5995_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/leecx6
title: NGC5899_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/m6zysa
title: NGC5899_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/mv5hqs
title: NGC5899_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/pqjmpo
title: NGC5899_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/wtugfz/7lqdvl
title: S4.Bind.CL.run2.inp

description: These files contain the scripts to the run the cross lag correlation analyses for Table 3, S11 and S12.   The data to use with this script is SEMOCT26.dat.  For the Cross lagged analyses there are several steps- the script needs to be changed to run the diff test- To make it easier for replication we simply created two separate scripts for each analysis. The first step (run1) is to run the script that generates the output data and the diff test data.  Use the estimates from this output.  The second step requires the script be edited to a) not generate a new difftest file, b) fix the causal paths so we can c) compare to the difftest data .  We now have two scripts for each labeled run1 and run2 respectively. Take the estimates from run1, use run2 to test for significance (see chi sq diff test in the out file). Please email Pete Hatemi for any questions on these scripts analyses.
DOI: 10.7910/dvn/wtugfz/fwboxk
title: S5.IND.CL.Run1.inp

description: These files contain the scripts to the run the cross lag correlation analyses for Table 3, S11 and S12.   The data to use with this script is SEMOCT26.dat.  For the Cross lagged analyses there are several steps- the script needs to be changed to run the diff test- To make it easier for replication we simply created two separate scripts for each analysis. The first step (run1) is to run the script that generates the output data and the diff test data.  Use the estimates from this output.  The second step requires the script be edited to a) not generate a new difftest file, b) fix the causal paths so we can c) compare to the difftest data .  We now have two scripts for each labeled run1 and run2 respectively. Take the estimates from run1, use run2 to test for significance (see chi sq diff test in the out file). Please email Pete Hatemi for any questions on these scripts analyses.
DOI: 10.7910/dvn/wtugfz/kqvq7a
title: S7.Ideo.predicts.MFS.SEM.MPLUS.txt

description: These files contain the SEM scripts to run the analyses for Figures 1,2. The data to use with this script is SEMOCT26.dat . To run the analyses for each factor individually (S1-S5) simply adjust the use variables and model section with the reduced MF items. See comments in the script. Please email Pete Hatemi for any questions on these scripts or analyses.
DOI: 10.7910/dvn/wtugfz/krf9y4
title: S6.IND.CL.Run2.inp

description: These files contain the scripts to the run the cross lag correlation analyses for Table 3, S11 and S12.   The data to use with this script is SEMOCT26.dat.  For the Cross lagged analyses there are several steps- the script needs to be changed to run the diff test- To make it easier for replication we simply created two separate scripts for each analysis. The first step (run1) is to run the script that generates the output data and the diff test data.  Use the estimates from this output.  The second step requires the script be edited to a) not generate a new difftest file, b) fix the causal paths so we can c) compare to the difftest data .  We now have two scripts for each labeled run1 and run2 respectively. Take the estimates from run1, use run2 to test for significance (see chi sq diff test in the out file). Please email Pete Hatemi for any questions on these scripts analyses.
DOI: 10.7910/dvn/wtugfz/zb4yvh
title: S3.Bind.CL.run1.inp

description: These files contain the scripts to the run the cross lag correlation analyses for Table 3, S11 and S12.   The data to use with this script is SEMOCT26.dat.  For the Cross lagged analyses there are several steps- the script needs to be changed to run the diff test- To make it easier for replication we simply created two separate scripts for each analysis. The first step (run1) is to run the script that generates the output data and the diff test data.  Use the estimates from this output.  The second step requires the script be edited to a) not generate a new difftest file, b) fix the causal paths so we can c) compare to the difftest data .  We now have two scripts for each labeled run1 and run2 respectively. Take the estimates from run1, use run2 to test for significance (see chi sq diff test in the out file). Please email Pete Hatemi for any questions on these scripts analyses.
DOI: 10.7910/dvn/4ajdvo/66hsn4
title: NGC5995_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/6mbvbx
title: NGC5995_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/c18xpk
title: NGC5995_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/d1q19o
title: NGC6221_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/l9hj5u
title: NGC6221_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/wtugfz/x94fhr
title: S8.MF.predicts.ideo.SEM.MPLUS.txt

description: These files contain the SEM scripts to run the analyses for Figures 1,2. The data to use with this script is SEMOCT26.dat . To run the analyses for each factor individually (S1-S5) simply adjust the use variables and model section with the reduced MF items. See comments in the script. Please email Pete Hatemi for any questions on these scripts or analyses.
DOI: 10.7910/dvn/wtugfz/xjxxya
title: S9.MXScripts.7z

description: This Zip file contains 23 scripts to the run the twin analyses. We strongly suggest that interested persons create a new .dat file based on the Primary data set.  We supplied our premade .dat file for the twin analyses to make it easier for others to replicate our work. But in order to play with different configurations it is advised to create a new stacked data file for your own purposes. Twin analyses can be as much art as science, and what you put in is what you get out.  How one creates a factor score, sum scores, drops items, listwise versus casewise deletion, the choice of stats package, method, starting values, dropping parameters, adding constraints, and so forth,  and thousands of other decisions that are analyst specific may change the results.

The scripts short names in the Zip file are mostly intuitive but please open each script to find the full description on the first line (see “! SCRIPT NAME”) – the name will correspond to the traits analyzed for Table 4 and S10. The data to use with these scripts is DF6.TwinJun27.dat.  To run the scripts, simply change the name of the dat file by removing the “DF6.Twin” from the file name so the file name is Jun27.dat or Change each script to call DF6.Twin. Jun27.dat- buyers choice here. As stated above we used the more lengthy label since we have many data sets. The varnames are listed in the file DD3.Data.Dictionary.Twin.Analyses.
DOI: 10.7910/dvn/4ajdvo/a1q44d
title: NGC6221_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/eckbzo
title: NGC6240_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/rbse7v
title: NGC6240_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/spdkbq
title: NGC6240_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/uuuikq
title: NGC6221_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/wmyfxq
title: NGC6240_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4jhfya/qefy5n
title: Leatherback Data.zip
DOI: 10.7910/dvn/4ajdvo/hlkqdy
title: NGC6300_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/k8c0lu
title: NGC6300_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/kxbamb
title: NGC6300_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/obhna7
title: NGC6552_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/sdisl4
title: NGC6300_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/4lnyvj
title: NGC6814_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/cilcne
title: NGC6552_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/g3sgsw
title: NGC6552_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/igxx48
title: NGC6552_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/iqokqs
title: NGC6814_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/km0wdm
title: NGC6814_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/4kv7qe
title: NGC6860_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/74qpfa
title: NGC6860_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/bbbkom
title: NGC6814_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/dxpwyx
title: NGC6860_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/hf7fmr
title: NGC6860_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4hfpnh/7lspsx
title: Lane_JOP2015_replication.do
DOI: 10.7910/dvn/4hfpnh/z7ckua
title: Lane_JOP2015_repdata.tab
DOI: 10.7910/dvn/4ajdvo/165ddw
title: NGC7213_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/4kxpvd
title: NGC7172_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/byozdz
title: NGC7172_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/fy5ojj
title: NGC7172_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/kbejtg
title: NGC7172_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/rt9azs
title: NGC7213_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/3wel4k
title: NGC7213_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/cblcos
title: NGC7465_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/pjcnoz
title: NGC7213_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/sagwxv
title: NGC7465_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/xnyowl
title: NGC7465_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/4iotyd
title: NGC7479_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/gcosix
title: NGC7469_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/jvnpnh
title: NGC7465_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/kssy8s
title: NGC7469_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/mill2q
title: NGC7469_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/ye7h3d
title: NGC7469_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/fkezh6/0usuo2
title: football_reply.pdf
DOI: 10.7910/dvn/4ajdvo/0xksof
title: NGC7582_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/lbe5qh
title: NGC7479_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/rkkvy2
title: NGC7479_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/v7yvch
title: NGC7582_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/ypy25s
title: NGC7479_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/zthhlv
title: NGC7582_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/0zxcs0
title: NGC7679_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/dsfydj
title: NGC7582_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/dss08c
title: NGC7603_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/jwtpw5
title: NGC7603_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/oh6awa
title: NGC7603_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/z8bglz
title: NGC7603_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/qcfloa
title: NGC788_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/sqf9li
title: NGC7679_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/wghs11
title: NGC7679_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/xnxuvo
title: NGC788_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/y5e7rf
title: NGC7679_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/da55pi/td5p2a
title: Lyon_225_web_Gizeh_Pyramids.tif
DOI: 10.7910/dvn/4ajdvo/cwkztl
title: NGC788_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/ddr3tu
title: NGC931_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/f2lu8z
title: NGC931_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/li4cum
title: NGC931_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/ve0m6q
title: NGC788_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/5khdr5
title: NGC985_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/abgt8l
title: NGC985_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/dc5dxg
title: NGC985_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/glqgyi
title: PG2304+042_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/iy1scz
title: NGC931_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/oog8sv
title: NGC985_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/an9d86
title: PG2304+042_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/blirxl
title: PG2304+042_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/blncw2
title: PICTORA_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/geezhh
title: PICTORA_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/lv95kt
title: PG2304+042_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/qjvesv
title: PICTORA_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/0dfgwp
title: PKS2331-240_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/30nnqu
title: PKS2331-240_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/9bpiuw
title: PICTORA_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/t6uf7l
title: PKS2331-240_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/zhnh2q
title: PKS2331-240_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/9uvake/wud6cy
title: dataset.tab
DOI: 10.7910/dvn/4ajdvo/besfvo
title: SBS0915+556_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/d9hmvg
title: SBS1301+540_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/i8csot
title: SBS1301+540_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/i9wawl
title: SBS0915+556_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/nl3xtz
title: SBS0915+556_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/opzuic
title: SBS0915+556_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/aullgx
title: SBS1301+540_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/c8vx9g
title: SDSSJ104326.47+110524.2_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/cmem0z
title: SDSSJ104326.47+110524.2_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/ioztvx
title: SBS1301+540_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/jjnkge
title: SDSSJ104326.47+110524.2_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/jlt43s
title: SDSSJ104326.47+110524.2_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/vacidl
title: SWIFTJ212745.6+565636_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/gitq0v
title: UGC01479_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/lwkw7q
title: UGC01479_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/opynpg
title: SWIFTJ212745.6+565636_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/rdgyre
title: SWIFTJ212745.6+565636_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/srlfbq
title: SWIFTJ212745.6+565636_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/mbfoub/xtxlat
title: Shanghai MSM estimation.xls
DOI: 10.7910/dvn/4ajdvo/06clrp
title: UGC01479_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/3o3e75
title: UGC01479_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/4g7en0
title: UGC03142_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/gaw6iy
title: UGC03142_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/xd6avd
title: UGC03142_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/2ag2cs
title: UGC03478_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/55v5cn
title: UGC03478_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/eg6p2w
title: UGC03142_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/jxtddh
title: UGC03478_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/lbndmb
title: UGC03601_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/tf985s
title: UGC03478_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/1bdleo
title: UGC03995A_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/cxenwo
title: UGC03601_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/n6xjg7
title: UGC03601_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/rvmfxr
title: UGC03995A_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/u58gia
title: UGC03601_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/pndw4p/1fe4nd
title: ReplicationData.tab
DOI: 10.7910/dvn/4ajdvo/cxje6g
title: UGC05881_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/ffxqtq
title: UGC05881_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/fpfcwd
title: UGC03995A_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/mpw1ji
title: UGC03995A_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/qntmmg
title: UGC05881_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/tj05rx
title: UGC05881_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/dlr7ue
title: UGC06728_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/gxym40
title: UGC06728_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/pa7dno
title: UGC07064_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/sk34ev
title: UGC06728_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/xhac0i
title: UGC07064_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/z8jzdx
title: UGC06728_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/busy9k
title: UGC08327NED02_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/ey0vyz
title: UGC08327NED02_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/fhttvk
title: UGC07064_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/lrwq8e
title: UGC08327NED02_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/rtuzko
title: UGC07064_scanamorphos_pacs70_error.fits
DOI: 10.15468/dl.5rbgn9
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cycas revoluta Thunb.",
 "Year 1970-2024"
 ]
}

 The dataset includes 365 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028004-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/4ajdvo/6zvpxk
title: UGC10593_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/4ajdvo/7rgpoo
title: UGC08327NED02_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/bwhuw0
title: UGC10593_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/jodsb1
title: UGC10593_scanamorphos_pacs160_signal.fits
DOI: 10.7910/dvn/4ajdvo/mhbtrk
title: UGC10593_scanamorphos_pacs70_signal.fits
DOI: 10.7910/dvn/4ajdvo/olcpcu
title: UGC11185NED02_scanamorphos_pacs160_error.fits
DOI: 10.7910/dvn/mipj1u/gcuhap
title: JDDCP Endorsers From F11.tab
DOI: 10.7910/dvn/4ajdvo/7bynin
title: UGC12237_scanamorphos_pacs70_error.fits
DOI: 10.7910/dvn/4ajdvo/g4dvw1
title: UGC12237_scanamorphos_pacs160_signal.fits