cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/zopwmb
title: 20220113_TEM_F2F_33.tif

description: :unav
DOI: 10.57745/hdtarl
title: 20220113_TEM_F2F_32.tif

description: :unav
DOI: 10.57745/n6pwqz
title: 20220113_TEM_F2F_39.tif

description: :unav
DOI: 10.57745/jvrh6a
title: 20220113_TEM_F2F_04.tif

description: :unav
DOI: 10.57745/dyh7yq
title: 20220113_TEM_F2F_40.tif

description: :unav
DOI: 10.57745/iyk6d2
title: 20220113_TEM_F2F_24.tif

description: :unav
DOI: 10.57745/77a27e
title: 20220113_TEM_F2F_13.tif

description: :unav
DOI: 10.57745/dett2s
title: 20220113_TEM_F2F_34.tif

description: :unav
DOI: 10.57745/uizchl
title: 20220113_TEM_F2F_20.tif

description: :unav
DOI: 10.57745/bcxibm
title: 20220113_TEM_F2F_02.tif

description: :unav
DOI: 10.57745/1vlwcb
title: 20220113_TEM_F2F_16.tif

description: :unav
DOI: 10.57745/ytaykn
title: 20220113_TEM_F2F_08.tif

description: :unav
DOI: 10.57745/zwajva
title: 20220113_TEM_F2F_03.tif

description: :unav
DOI: 10.57745/kytlvk
title: 20220113_TEM_F2F_27.tif

description: :unav
DOI: 10.57745/w4lgg4
title: 20220113_TEM_F2F_21.tif

description: :unav
DOI: 10.57745/r8dqsw
title: 20220113_TEM_F2F_30.tif

description: :unav
DOI: 10.57745/xlpiuv
title: 20220113_TEM_F2F_05.tif

description: :unav
DOI: 10.57745/0ltdyv
title: 20220113_TEM_F2F_06.tif

description: :unav
DOI: 10.57745/wpfhe4
title: 20220113_TEM_F2F_17.tif

description: :unav
DOI: 10.57745/odeopw
title: 20220113_TEM_F2F_28.tif

description: :unav
DOI: 10.57745/3dkqr2
title: 20220113_TEM_F2F_31.tif

description: :unav
DOI: 10.57745/btepho
title: 20220113_TEM_F2F_36.tif

description: :unav
DOI: 10.57745/9kllrw
title: 20220113_TEM_F2F_11.tif

description: :unav
DOI: 10.57745/ddtr82
title: 20220113_TEM_F2F_25.tif

description: :unav
DOI: 10.57745/bgkpgy
title: 20220113_TEM_F2F_19.tif

description: :unav
DOI: 10.57745/nzaiml
title: 20220113_TEM_F2F_10.tif

description: :unav
DOI: 10.57745/ddr2d2
title: 20220113_TEM_F2F_38.tif

description: :unav
DOI: 10.57745/xzedol
title: 20220113_TEM_F2F_37.tif

description: :unav
DOI: 10.57745/jvkqmk
title: 20220113_TEM_F2F_15.tif

description: :unav
DOI: 10.57745/56d9ab
title: 20220113_TEM_F2F_35.tif

description: :unav
DOI: 10.57745/zk68uz
title: 20220113_TEM_F2F_26.tif

description: :unav
DOI: 10.57745/kfzwj8
title: 20220113_TEM_F2F_14.tif

description: :unav
DOI: 10.57745/g2rubx
title: 20220113_TEM_F2F_18.tif

description: :unav
DOI: 10.57745/6znb9j
title: 20220113_TEM_F2F_22.tif

description: :unav
DOI: 10.57745/zqvchw
title: 20220114_TEM_F2G_01.tif

description: :unav
DOI: 10.57745/jf47vo
title: 20220114_TEM_F2G_14.tif

description: :unav
DOI: 10.57745/n3wwu7
title: 20220114_TEM_F2G_19.tif

description: :unav
DOI: 10.57745/qts675
title: 20220114_TEM_F2G_40.tif

description: :unav
DOI: 10.57745/hab9rm
title: 20220114_TEM_F2G_27.tif

description: :unav
DOI: 10.57745/dhtak5
title: 20220114_TEM_F2G_10.tif

description: :unav
DOI: 10.57745/zmagex
title: 20220114_TEM_F2G_43.tif

description: :unav
DOI: 10.57745/hrlows
title: 20220114_TEM_F2G_25.tif

description: :unav
DOI: 10.57745/scelcb
title: 20220114_TEM_F2G_29.tif

description: :unav
DOI: 10.57745/lcf5zr
title: 20220114_TEM_F2G_06.tif

description: :unav
DOI: 10.57745/zyww6o
title: 20220114_TEM_F2G_03.tif

description: :unav
DOI: 10.57745/owhbuw
title: 20220114_TEM_F2G_20.tif

description: :unav
DOI: 10.57745/x5q1tn
title: 20220114_TEM_F2G_36.tif

description: :unav
DOI: 10.57745/32xbpg
title: 20220114_TEM_F2G_33.tif

description: :unav
DOI: 10.57745/79ny1b
title: 20220114_TEM_F2G_41.tif

description: :unav
DOI: 10.57745/jjakvh
title: 20220114_TEM_F2G_12.tif

description: :unav
DOI: 10.57745/4a397u
title: 20220114_TEM_F2G_04.tif

description: :unav
DOI: 10.57745/kyinv2
title: 20220114_TEM_F2G_17.tif

description: :unav
DOI: 10.57745/mckxgq
title: 20220114_TEM_F2G_05.tif

description: :unav
DOI: 10.57745/g0jtsa
title: 20220114_TEM_F2G_21.tif

description: :unav
DOI: 10.57745/tgivhc
title: 20220114_TEM_F2G_31.tif

description: :unav
DOI: 10.57745/zx6lyk
title: 20220114_TEM_F2G_34.tif

description: :unav
DOI: 10.57745/bu0cvr
title: 20220114_TEM_F2G_08.tif

description: :unav
DOI: 10.57745/otly8y
title: 20220114_TEM_F2G_42.tif

description: :unav
DOI: 10.57745/xdp01r
title: 20220114_TEM_F2G_26.tif

description: :unav
DOI: 10.57745/iplvwv
title: 20220114_TEM_F2G_16.tif

description: :unav
DOI: 10.57745/hes9vn
title: 20220114_TEM_F2G_13.tif

description: :unav
DOI: 10.57745/7jecke
title: 20220114_TEM_F2G_28.tif

description: :unav
DOI: 10.57745/4qyjof
title: 20220114_TEM_F2G_11.tif

description: :unav
DOI: 10.57745/cpfd1t
title: 20220114_TEM_F2G_30.tif

description: :unav
DOI: 10.57745/yhc3bw
title: 20220114_TEM_F2G_32.tif

description: :unav
DOI: 10.57745/vypzwf
title: 20220114_TEM_F2G_39.tif

description: :unav
DOI: 10.57745/1pqsnj
title: 20220114_TEM_F2G_09.tif

description: :unav
DOI: 10.57745/rloglx
title: 20220114_TEM_F2G_15.tif

description: :unav
DOI: 10.57745/r6fj0w
title: 20220114_TEM_F2G_07.tif

description: :unav
DOI: 10.57745/owoagj
title: 20220114_TEM_F2G_18.tif

description: :unav
DOI: 10.57745/q0xtaf
title: 20220114_TEM_F2G_02.tif

description: :unav
DOI: 10.57745/ftoxgm
title: 20220114_TEM_F2G_35.tif

description: :unav
DOI: 10.57745/v7ty4p
title: 20220114_TEM_F2G_22.tif

description: :unav
DOI: 10.57745/caomru
title: 20220114_TEM_F2G_37.tif

description: :unav
DOI: 10.57745/mmujoc
title: 20220114_TEM_F2G_24.tif

description: :unav
DOI: 10.57745/qq6vgj
title: 20220114_TEM_F2G_38.tif

description: :unav
DOI: 10.57745/gqfeja
title: 20220114_TEM_F2G_23.tif

description: :unav
DOI: 10.57745/fzwfi3
title: 20211102_TEM_F2M_08.tif

description: :unav
DOI: 10.57745/s2zfio
title: 20211102_TEM_F2M_18.tif

description: :unav
DOI: 10.57745/wvjfjr
title: 20211102_TEM_F2M_19.tif

description: :unav
DOI: 10.57745/vwhthi
title: 20211102_TEM_F2M_24.tif

description: :unav
DOI: 10.57745/aaksoa
title: 20211102_TEM_F2M_14.tif

description: :unav
DOI: 10.57745/mqvbfn
title: 20211102_TEM_F2M_04.tif

description: :unav
DOI: 10.57745/h0ugso
title: 20211102_TEM_F2M_16.tif

description: :unav
DOI: 10.57745/xcfdsu
title: 20211102_TEM_F2M_15.tif

description: :unav
DOI: 10.57745/fda6pa
title: 20211102_TEM_F2M_12.tif

description: :unav
DOI: 10.57745/tn5kwf
title: 20211102_TEM_F2M_05.tif

description: :unav
DOI: 10.57745/rhjktg
title: 20211102_TEM_F2M_25.tif

description: :unav
DOI: 10.57745/bmpayg
title: 20211102_TEM_F2M_06.tif

description: :unav
DOI: 10.57745/php3rs
title: 20211102_TEM_F2M_21.tif

description: :unav
DOI: 10.57745/a8ksci
title: 20211102_TEM_F2M_20.tif

description: :unav
DOI: 10.57745/uls0zo
title: 20211102_TEM_F2M_13.tif

description: :unav
DOI: 10.57745/juhpdz
title: 20211102_TEM_F2M_03.tif

description: :unav
DOI: 10.57745/uv5tqz
title: 20211102_TEM_F2M_17.tif

description: :unav
DOI: 10.57745/rh2kjv
title: 20211102_TEM_F2M_11.tif

description: :unav
DOI: 10.57745/wz8dn5
title: 20211102_TEM_F2M_09.tif

description: :unav
DOI: 10.57745/yzmea8
title: 20211102_TEM_F2M_22.tif

description: :unav
DOI: 10.57745/hbfn0t
title: 20211102_TEM_F2M_07.tif

description: :unav
DOI: 10.57745/efobpf
title: 20211102_TEM_F2M_01.tif

description: :unav
DOI: 10.57745/nhkq9j
title: 20211102_TEM_F2M_10.tif

description: :unav
DOI: 10.57745/y5a7er
title: 20211102_TEM_F2M_02.tif

description: :unav
DOI: 10.57745/7eljev
title: 20211102_TEM_F2M_23.tif

description: :unav
DOI: 10.57745/dgkaoq
title: 20211119_TGAair_F2M.tab

description: :unav
DOI: 10.57745/kya5yv
title: 20211208_TGAair_F2F.tab

description: :unav
DOI: 10.57745/8w8hnp
title: 20211019_TGAair_F2G.tab

description: :unav
DOI: 10.57745/hvyasm
title: 20211022_TGAair_F2D.tab

description: :unav
DOI: 10.57745/zphesv
title: 20210710_TGAHe_F2D.tab

description: :unav
DOI: 10.57745/foqsu2
title: 20210710_TGAMS_F2D.csv

description: :unav
DOI: 10.6084/m9.figshare.25011908.v1
title: table_zscores_human.txt

description: Numerical data table for human subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH) with (1) and without (0) paracingulate sulcus (PCGS). <br>
DOI: 10.57745/ehmjwp
title: 20210710_TGAHe_F2F.tab

description: :unav
DOI: 10.6084/m9.figshare.25011908
title: table_zscores_human.txt

description: Numerical data table for human subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH) with (1) and without (0) paracingulate sulcus (PCGS). <br>
DOI: 10.57745/wsudkl
title: 20210710_TGAHe_F2G.tab

description: :unav
DOI: 10.57745/rmtyq3
title: 20210710_TGAMS_F2F.tab

description: :unav
DOI: 10.57745/yiwijt
title: 20210710_TGAMS_F2G.csv

description: :unav
DOI: 10.57745/u4jkhv
title: 20210710_TGAMS_F2M.csv

description: :unav
DOI: 10.57745/yzoeis
title: 20210710_TGAHe_F2M.tab

description: :unav
DOI: 10.57745/0eynsh
title: 20230703_AbsUVVis_baseline_M2_D0.tab

description: :unav
DOI: 10.57745/h81q1f
title: 20230703_AbsUVVis_F2F_D0.tab

description: :unav
DOI: 10.57745/sma6rx
title: 20230703_AbsUVVis_F2D_D0.tab

description: :unav
DOI: 10.57745/z7xaij
title: 20230703_AbsUVVis_F2M_D0.tab

description: :unav
DOI: 10.57745/yhttbx
title: 20230703_AbsUVVis_F2G_D0.tab

description: :unav
DOI: 10.57745/9kg5mv
title: 20230704_AbsUVVis_baseline_M2_D1.tab

description: :unav
DOI: 10.57745/dqgisx
title: 20230704_AbsUVVis_F2M_D1.tab

description: :unav
DOI: 10.57745/p1wbbi
title: 20230704_AbsUVVis_F2D_D1.tab

description: :unav
DOI: 10.57745/j42tha
title: 20230704_AbsUVVis_F2F_D1.tab

description: :unav
DOI: 10.57745/synwsq
title: 20230704_AbsUVVis_F2G_D1.tab

description: :unav
DOI: 10.57745/gkagmy
title: 20230706_AbsUVVis_F2M_D3.tab

description: :unav
DOI: 10.57745/qspxgz
title: 20230706_AbsUVVis_F2D_D3.tab

description: :unav
DOI: 10.57745/hzbhzq
title: 20230706_AbsUVVis_baseline_M2_D3.tab

description: :unav
DOI: 10.57745/el0zoz
title: 20230706_AbsUVVis_F2F_D3.tab

description: :unav
DOI: 10.57745/lysfx0
title: 20230706_AbsUVVis_F2G_D3.tab

description: :unav
DOI: 10.57745/pj18jw
title: 20230710_AbsUVVis_F2F_D6.tab

description: :unav
DOI: 10.57745/l2qt7h
title: 20230710_AbsUVVis_baseline_M2_D6.tab

description: :unav
DOI: 10.57745/zvod5k
title: 20230710_AbsUVVis_F2G_D6.tab

description: :unav
DOI: 10.57745/lvgxzu
title: 20230710_AbsUVVis_F2M_D6.tab

description: :unav
DOI: 10.57745/jdk2jz
title: 20230710_AbsUVVis_F2D_D6.tab

description: :unav
DOI: 10.6084/m9.figshare.25011911
title: table_zscores_macaques_awake.txt

description: Numerical data table for macaque subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH) in the awake state.
DOI: 10.6084/m9.figshare.25011911.v1
title: table_zscores_macaques_awake.txt

description: Numerical data table for macaque subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH) in the awake state.
DOI: 10.57745/u9uvee
title: 20210710_XPS_C1S_F2F.tab

description: :unav
DOI: 10.57745/tpuy2d
title: 20210710_XPS_O1S_F2F.tab

description: :unav
DOI: 10.57745/4hgsut
title: 20210710_XPS_O1S_F2G.tab

description: :unav
DOI: 10.57745/s6azia
title: 20210710_XPS_C1S_F2D.tab

description: :unav
DOI: 10.57745/shakb2
title: 20210710_XPS_WideScan_F2M.tab

description: :unav
DOI: 10.57745/1x3gsc
title: 20210710_XPS_O1S_F2M.tab

description: :unav
DOI: 10.57745/9spl7t
title: 20210710_XPS_C1S_F2G.tab

description: :unav
DOI: 10.57745/onvje7
title: 20210710_XPS_O1S_F2D.tab

description: :unav
DOI: 10.57745/tga5oh
title: 20210710_XPS_WideScan_F2D.tab

description: :unav
DOI: 10.57745/f0dnxi
title: 20210710_XPS_C1S_F2M.tab

description: :unav
DOI: 10.57745/b59gv4
title: 20210710_XPS_WideScan_F2F.tab

description: :unav
DOI: 10.57745/mnhh1a
title: 20210710_XPS_WideScan_F2G.tab

description: :unav
DOI: 10.57745/npw4og
title: ReadMe_M2.pdf

description: :unav
DOI: 10.5281/zenodo.10521933
title: JG2.1.0 HISAT2 index

description:  

 

Version v1 contains bug files; please use v2 or later versions.
DOI: 10.25502/tbqv-hv61/d
title: APSIM simulated maize sowing dates for Zambia for the period, 1983-2016.

description: Simulated maize crop yields across different planting dates in Zambia. The sowing dates are evaluated over the general sowing window.
DOI: 10.5281/zenodo.10304749
title: Negative Complement of a Set of Vulnerability-Fixing Commits: Supplementary Material

description: EASE 2024 - Industry track


This archive contains accompanying materials for the paper: 


Rocío Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello. "Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset" 


submitted to the Industry track at EASE 2024 - https://conf.researchr.org/track/ease-2024/ease-2024-industry


It contains the following folders and files:


- data

 - commit_pairs_final.csv : Dataset of 534 commit pairs corresponding to a positiive (security-relevant) commit and a negative sample obtained by the approach described in the paper.

 - single_positive.csv : Contains a single positive instance (taken from the MSR2019 dataset) which can be used to test the generate_negative_complement.py script.

- scripts

 - generate_negative_complement.py : Takes in a single .java file and obfuscates its developer-defined identifiers.

 - obfuscate_java_file.py : Generates a negative complement for a security-relevant dataset. The ouput is written to couple_dataset.csv.

 - requirements.txt : Requirements needed in the virtual environment to successfully run the previous scripts.
DOI: 10.5281/zenodo.10304750
title: Negative Complement of a Set of Vulnerability-Fixing Commits: Supplementary Material

description: MSR 2024 Data and Tool Showcase Track (Submission)
 
This archive contains the supporting documents for the paper:
Rocío Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello. "Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset"
submitted to the 2024 MSR Data and Tools Showcase Track.
Its structure is as follows:
- data
   - commit_pairs_final.csv : Dataset of 534 commit pairs corresponding to a positiive (security-relevant) commit and a negative sample obtained by the approach described in the paper.
   - single_positive.csv : Contains a single positive instance (taken from the MSR2019 dataset) which can be used to test the generate_negative_complement.py script.
- scripts
   - generate_negative_complement.py : Takes in a single .java file and obfuscates its developer-defined identifiers.
   - obfuscate_java_file.py : Generates a negative complement for a security-relevant dataset. The ouput is written to couple_dataset.csv.
   - requirements.txt : Requirements needed in the virtual environment to successfully run the previous scripts.
DOI: 10.5281/zenodo.10522081
title: Negative Complement of a Set of Vulnerability-Fixing Commits: Supplementary Material

description: EASE 2024 - Industry track


This archive contains accompanying materials for the paper: 


Rocío Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello. "Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset" 


submitted to the Industry track at EASE 2024 - https://conf.researchr.org/track/ease-2024/ease-2024-industry


It contains the following folders and files:


- data

 - commit_pairs_final.csv : Dataset of 534 commit pairs corresponding to a positiive (security-relevant) commit and a negative sample obtained by the approach described in the paper.

 - single_positive.csv : Contains a single positive instance (taken from the MSR2019 dataset) which can be used to test the generate_negative_complement.py script.

- scripts

 - generate_negative_complement.py : Takes in a single .java file and obfuscates its developer-defined identifiers.

 - obfuscate_java_file.py : Generates a negative complement for a security-relevant dataset. The ouput is written to couple_dataset.csv.

 - requirements.txt : Requirements needed in the virtual environment to successfully run the previous scripts.
DOI: 10.6084/m9.figshare.25011959
title: Numerical_data_table_hum_mac

description: Numerical data table for humans and macaques subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH). Humans: LH and RH with (1) and without (0) paracingulate sulcus (PCGS).Macaque: awake state.<br>
DOI: 10.6084/m9.figshare.25011959.v1
title: Numerical_data_table_hum_mac

description: Numerical data table for humans and macaques subjects, txt format. It contains correlation strength results (z-scores) between AMG' seeds (LA, BL, BM, CE) and mPFC' 16 ROIs, in the left (LH) and right hemisphere (RH). Humans: LH and RH with (1) and without (0) paracingulate sulcus (PCGS).Macaque: awake state.<br>
DOI: 10.7910/dvn/mcvvj0
title: Replication Data for: Playing the Sycophant Card: The Logic and Consequences of Professing Loyalty to the Autocrat

description: Replication archive for Baturo, Khokhlov and Tolstrup. Playing the Sycophant Card: The Logic and Consequences of Professing Loyalty to the Autocrat.
DOI: 10.5281/zenodo.10513796
title: EUV-TG spectra -ascii files

description: EUV-TG spectra in ascii file for the paper on Nature Communication entitled "The effect of echoes interference on phonon attenuation in a nanophononic membrane".

The identification of each file is in the excel file "shared files list"

raw data are available at http://dx.doi.org/10.34965/i11160
DOI: 10.5281/zenodo.10513797
title: EUV-TG spectra -ascii files

description: EUV-TG spectra in ascii file for the paper on Nature Communication entitled "The effect of echoes interference on phonon attenuation in a nanophononic membrane".

The identification of each file is in the excel file "shared files list"

raw data are available at http://dx.doi.org/10.34965/i11160
DOI: 10.5281/zenodo.10032455
title: JG2.1.0 HISAT2 index

description:  

 

Version v1 contains bug files; please use v2 or later versions.
DOI: 10.5281/zenodo.10032456
title: JG2.1.0 HISAT2 index

description: Version v1 contains bug files; please use v2 or later versions.
DOI: 10.25502/f24w-xw45/d
title:  DSSAT simulated maize sowing dates for Rwanda for the period, 1983-2016.

description: Simulated maize crop yields across different planting dates in Rwanda. The sowing dates are evaluated over the general sowing window.
DOI: 10.34683/sr2055
title: StoneRounds Case: SR2055
title: AR Stargardt Disease

description: StoneRounds Case SR2055 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.7488/ds/7547
title: ASZ001 - As - First lessons

description: Preliminary elicitation of basic words in As, a language historically spoken in three villages on the northwest coast of the Bird's Head peninsula in Indonesia. This dataset comprises elicited data collected from Jabida Kapitan, Jamila Kamitan, and Hamid Mayor on 10th January 2020.
DOI: 10.7488/ds/7549
title: ASZ002 - As - The history of the As

description: A short discussion about where speakers of As originate from, in Papuan Malay. The main speaker is Hamid Mayor; we made this recording sitting on the terrace of a house in the middle of the village, so several other speakers contribute information.
DOI: 10.7488/ds/7557
title: KAW003 - Kawe Maˈya - Verbal, possessive, and pronominal paradigms

description: This dataset contains elicited verbal, possessive, and pronominal paradigms from the Kawe dialect of Maˈya with Yulius Ayello (born 1978), a native speaker of Kawe Maˈya. The paradigms correspond to the items in black ink on pages 10-15 in the Fieldnotes. The conversation was recorded on 1 March 2023, in Waisai (Southwest Papua province, Indonesia). This dataset relates to the Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian'. Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573).
DOI: 10.7488/ds/7560
title: LAG001 - Laganyan Maˈya - Basic vocabulary (landscape, plants, animals)

description: This dataset contains elicited basic vocabulary from the Laganyan dialect of Maˈya with Arfus Saleo (born 1979), a native speaker of Laganyan Maˈya. The words cover the semantic domains of landscape, plants, and animals (corresponding to the items in green ink on pages 16-26 in the Fieldnotes); all words were recorded in isolation, utterance-final, and utterance-medial context. The conversation was recorded on 1 March 2023, in Waisai (Southwest Papua province, Indonesia). This dataset relates to the British Academy Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian'. Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573).
DOI: 10.7488/ds/7563
title: WAU001 - Wauyai Maˈya - Basic words (landscape, plants)

description: This dataset contains elicited basic vocabulary from the Wauyai dialect of Maˈya with Pilipus Gimla (born 1955), a native speaker of Wauyai Maˈya. The words cover the semantic domains of landscape and plants (corresponding to the items on pages 16-22 in the Fieldnotes); all words were recorded in isolation, utterance-final, and utterance-medial context. The recording of this session is split across two audio files, WAU001-01 and WAU001-02. The conversation was recorded on 16 February 2023, in Waimalata hamlet (Waigeo island, Raja Ampat regency, Southwest Papua province, Indonesia). This dataset relates to the British Academy Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian'. Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573).
DOI: 10.7488/ds/7564
title: WAU002 - Wauyai Maˈya - Basic words (animals)

description: This dataset contains elicited basic vocabulary from the Wauyai dialect of Maˈya with Daniel Gaman (born 1960), a native speaker of Wauyai Maˈya. The words cover the semantic domain of animals (corresponding to the items on pages 22-26 in the Fieldnotes); all words were recorded in isolation, utterance-final, and utterance-medial context. The recording of this session is split across two audio files, WAU002-01 and WAU002-02. The session was recorded on 16 February 2023, in Waimalata hamlet (Waigeo island, Raja Ampat regency, Southwest Papua province, Indonesia). This dataset relates to the British Academy Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian'. Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573).
DOI: 10.7488/ds/7565
title: WAU003 - Wauyai Maˈya

description: This dataset contains elicited basic vocabulary from the Wauyai dialect of Maˈya with Pilipus Gimla (born 1955), a native speaker of Wauyai Maˈya. The words cover the semantic domains of people and cultural items (corresponding to the items on pages 26-28 and 40-42 in the Fieldnotes, respectively); all words were recorded in isolation, utterance-final, and utterance-medial context. The session was recorded on 17 February 2023, in Waimalata hamlet (Waigeo island, Raja Ampat regency, Southwest Papua province, Indonesia). This dataset relates to the British Academy Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian'. Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573).