cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ajkm8a
title: E38-ZN2ALCLO4 APRES_0344.png
DOI: 10.57745/bvqohl
title: E38-ZN2ALCLO4 APRES_0342.txt
DOI: 10.57745/ccxgjl
title: E38-ZN2ALCLO4 APRES_0344.txt
DOI: 10.57745/dcdmi2
title: E38-ZN2ALCLO4 APRES_0345.png
DOI: 10.57745/mgcexk
title: E38-ZN2ALCLO4 APRES_0342.png
DOI: 10.57745/p9d2ac
title: E38-ZN2ALCLO4 APRES_0343.png
DOI: 10.57745/s9evrt
title: E38-ZN2ALCLO4 APRES_0341.txt
DOI: 10.57745/upkube
title: E38-ZN2ALCLO4 APRES_0341.png
DOI: 10.57745/xh1ehs
title: E38-ZN2ALCLO4 APRES_0340.txt
DOI: 10.57745/yz4ijy
title: E38-ZN2ALCLO4 APRES_0343.txt
DOI: 10.57745/5ld4xe
title: E39-ZN2ALCL APRES_0355.txt
DOI: 10.57745/b50ymk
title: E39-ZN2ALCL APRES_0354.png
DOI: 10.57745/idzeh6
title: E38-ZN2ALCLO4 APRES_0345.txt
DOI: 10.57745/jcs3om
title: E39-ZN2ALCL APRES_0355.png
DOI: 10.57745/kt8adr
title: E38-ZN2ALCLO4 AVANT_0336.png
DOI: 10.57745/lnheie
title: E38-ZN2ALCLO4 AVANT_0333.png
DOI: 10.57745/r2469p
title: E39-ZN2ALCL APRES_0354.txt
DOI: 10.57745/tbvscz
title: E38-ZN2ALCLO4 AVANT_0335.png
DOI: 10.57745/tfeuwa
title: E38-ZN2ALCLO4 AVANT_0334.png
DOI: 10.57745/9joykc
title: E39-ZN2ALCL APRES_0356.png
DOI: 10.57745/baojpy
title: E39-ZN2ALCL APRES_0358.png
DOI: 10.57745/ine9br
title: E39-ZN2ALCL APRES_0356.txt
DOI: 10.57745/jkl5lp
title: E39-ZN2ALCL APRES_0357.txt
DOI: 10.57745/mqoyph
title: E39-ZN2ALCL APRES_0360.png
DOI: 10.57745/p0mpn7
title: E39-ZN2ALCL APRES_0359.txt
DOI: 10.57745/pflckc
title: E39-ZN2ALCL APRES_0359.png
DOI: 10.57745/vjngqt
title: E39-ZN2ALCL APRES_0357.png
DOI: 10.57745/wah4ce
title: E39-ZN2ALCL APRES_0358.txt
DOI: 10.57745/4fapr4
title: E39-ZN2ALCL AVANT_0347.png
DOI: 10.57745/afyoa9
title: E39-ZN2ALCL APRES_0362.txt
DOI: 10.57745/b6fs4s
title: E39-ZN2ALCL APRES_0361.png
DOI: 10.57745/fn2uzo
title: E39-ZN2ALCL AVANT_0346.txt
DOI: 10.57745/tvxswm
title: E39-ZN2ALCL APRES_0361.txt
DOI: 10.57745/uln0fk
title: E39-ZN2ALCL AVANT_0346.png
DOI: 10.57745/vvv976
title: E39-ZN2ALCL APRES_0362.png
DOI: 10.57745/z4wqcq
title: E39-ZN2ALCL APRES_0360.txt
DOI: 10.57745/5mjjn2
title: E39-ZN2ALCL AVANT_0347.txt
DOI: 10.57745/vdvaf4
title: E39-ZN2ALCL AVANT_0348.png
DOI: 10.57745/vfsa0k
title: E39-ZN2ALCL AVANT_0349.png
DOI: 10.57745/x4aecy
title: E39-ZN2ALCL AVANT_0350.png
DOI: 10.57745/xqwf9f
title: E39-ZN2ALCL AVANT_0350.txt
DOI: 10.57745/xutcf3
title: E39-ZN2ALCL AVANT_0349.txt
DOI: 10.57745/xzbewu
title: E39-ZN2ALCL AVANT_0348.txt
DOI: 10.57745/yvqnde
title: E39-ZN2ALCL AVANT_0351.png
DOI: 10.57745/5leuet
title: E39-ZN2ALCL AVANT_0351.txt
DOI: 10.57745/bepsfh
title: ech11-MgAlCO3.0
DOI: 10.57745/j7rf1d
title: E39-ZN2ALCL AVANT_0352.txt
DOI: 10.57745/kvlrom
title: E39-ZN2ALCL AVANT_0353.txt
DOI: 10.57745/nt4cc5
title: E39-ZN2ALCL AVANT_0352.png
DOI: 10.57745/r9bkcm
title: ech10-Co2AlCO3.opju
DOI: 10.57745/uyzhvo
title: E39-ZN2ALCL AVANT_0353.png
DOI: 10.57745/85gwmp
title: ech12- Zn2AlNO3.opju
DOI: 10.57745/fbwghj
title: ech12-Zn2AlNO3.0
DOI: 10.57745/jkyror
title: ech13-Ni2Zn2CO3.opju
DOI: 10.57745/lg2jzp
title: ech 21 zn3al_0379.tif
DOI: 10.57745/mbowou
title: ech 21 zn3al_0379.txt
DOI: 10.57745/nhc0qu
title: ech 16-Cu2Zn2AlCo3.opju
DOI: 10.57745/skvgj7
title: ech11-MgAlCO3.0.dpt
DOI: 10.57745/upltwb
title: ech11-MgAlCO3.opju
DOI: 10.57745/2qkphu
title: ech 21 zn3al_0380.tif
DOI: 10.57745/gx99ig
title: ech 21 zn3al_0383.txt
DOI: 10.57745/j69kdr
title: ech 21 zn3al_0383.tif
DOI: 10.57745/roh9oy
title: ech 21 zn3al_0382.tif
DOI: 10.57745/tdfg2i
title: ech 21 zn3al_0381.txt
DOI: 10.57745/tnrwct
title: ech 21 zn3al_0380.txt
DOI: 10.57745/u9zxr4
title: ech 21 zn3al_0382.txt
DOI: 10.57745/vr9lad
title: ech 21 zn3al_0384.tif
DOI: 10.57745/vz2f7g
title: ech 21 zn3al_0381.tif
DOI: 10.57745/372arj
title: ECH 21-ZN3ALCO3-MES1-P100.txt
DOI: 10.57745/3jw2wk
title: ech 21 zn3al_0384.txt
DOI: 10.57745/chczrb
title: ech 21 zn3al_0385.tif
DOI: 10.57745/izxkxa
title: ech 21 zn3al_0387.tif
DOI: 10.57745/sok12y
title: ech 21 zn3al_0385.txt
DOI: 10.57745/v2srxg
title: ech 21 zn3al_0386.txt
DOI: 10.57745/vaabdx
title: ech 21 zn3al_0387.txt
DOI: 10.57745/yj165d
title: ech 21 zn3al_0386.tif
DOI: 10.57745/2anvvy
title: ech33-Cu2AlCO3.0
DOI: 10.57745/b3uliz
title: ECH 32- Zn3AlCO3.opju
DOI: 10.57745/gcgnfe
title: ech 31-Zn2AlCO3.opju
DOI: 10.57745/hdho6m
title: ech21-Zn3AlCO3.opju
DOI: 10.57745/phxd0o
title: ech32-Zn3AlCO3.0.dpt
DOI: 10.57745/plevfu
title: ECH 21-ZN3ALCO3-MES1-P50.txt
DOI: 10.57745/zsqsiw
title: ech32-Zn3AlCO3.0
DOI: 10.57745/2rl5zb
title: ech33-CU2ALCO3-P0.5-MES1.txt
DOI: 10.57745/364xjb
title: ECH 33-Cu2AlCO3.opju
DOI: 10.57745/8gmlt7
title: ech33-CU2ALCO3-P1-MES1.txt
DOI: 10.57745/dvvpul
title: ech33-CU2ALCO3-P0.1-MES1.txt
DOI: 10.57745/fsbpt3
title: ech33-CU2ALCO3-P0.05-MES1.txt
DOI: 10.57745/hqguoa
title: ech33-CU2ALCO3-P10-MES2.txt
DOI: 10.57745/szlhvh
title: ech33-CU2ALCO3-P10-MES1.txt
DOI: 10.57745/uvwfso
title: ech33-Cu2AlCO3.0.dpt
DOI: 10.57745/4ojijg
title: ech 34 CuAl_0368.txt
DOI: 10.57745/b5jg14
title: ech 34 CuAl_0369.txt
DOI: 10.57745/kqmhdg
title: ech 34 CuAl_0367.tif
DOI: 10.57745/mgbf7c
title: ech 34 CuAl_0368.tif
DOI: 10.57745/q4qngh
title: ech 34 CuAl_0367.txt
DOI: 10.57745/qj6drq
title: ech 34 CuAl_0369.tif
DOI: 10.57745/wwusvy
title: ech33-CU2ALCO3-P50-MES1.txt
DOI: 10.57745/yzo3cw
title: ech33-CU2ALCO3-P5-MES1.txt
DOI: 10.57745/5yyh0o
title: ech 34 CuAl_0372.tif
DOI: 10.57745/7fgtsg
title: ech 34 CuAl_0371.txt
DOI: 10.57745/dr2iou
title: ech 34 CuAl_0370.txt
DOI: 10.57745/htz9nf
title: ech 34 CuAl_0373.tif
DOI: 10.57745/jvjtcp
title: ech 34 CuAl_0372.txt
DOI: 10.57745/lkrjid
title: ech 34 CuAl_0373.txt
DOI: 10.57745/oseqke
title: ech 34 CuAl_0371.tif
DOI: 10.57745/rondgy
title: ech 34 CuAl_0370.tif
DOI: 10.57745/anwnrv
title: ech 34 CuAl_0376.tif
DOI: 10.57745/fywx60
title: ech 34 CuAl_0374.txt
DOI: 10.57745/gcbodh
title: ech 34 CuAl_0375.txt
DOI: 10.57745/go4jhi
title: ech 34 CuAl_0376.txt
DOI: 10.57745/m3jntc
title: ech 34 CuAl_0374.tif
DOI: 10.57745/uvahuj
title: ech 34 CuAl_0375.tif
DOI: 10.57745/wb9v8q
title: ech 34 CuAl_0377.txt
DOI: 10.57745/xuad4e
title: ech 34 CuAl_0377.tif
DOI: 10.57745/9hkpeb
title: ech 34 CuAl_0378.txt
DOI: 10.57745/hybwch
title: ECH34-NI2ALCO3-P10-MES2.txt
DOI: 10.57745/js1yk5
title: ECH34-NI2ALCO3-P10-MES1.txt
DOI: 10.57745/jwqc7g
title: ech 34 CuAl_0378.tif
DOI: 10.57745/k5sl1t
title: ECH34-NI2ALCO3-P0.05-MES1.txt
DOI: 10.57745/lpvqif
title: ECH34-Ni2AlCO3.opju
DOI: 10.57745/q6bk7y
title: ECH34-NI2ALCO3-P0.5-MES1.txt
DOI: 10.57745/ykuh58
title: ECH34-NI2ALCO3-P0.1-MES1.txt
DOI: 10.57745/78yxkg
title: ech35-Co2AlCO3.opju
DOI: 10.57745/bmyutl
title: ech34-NiAlCO3.0
DOI: 10.57745/jhyizq
title: ECH34-NI2ALCO3-P1-MES1.txt
DOI: 10.57745/jwhg03
title: ech35-CoAlCO3.0.dpt
DOI: 10.57745/pydjzt
title: ECH34-NI2ALCO3-P5-MES1.txt
DOI: 10.57745/rg7wxe
title: ECH34-NI2ALCO3-P50-MES1.txt
DOI: 10.57745/v9zixq
title: ech35-CoAlCO3.0
DOI: 10.57745/x7atyh
title: ech34-NiAlCO3.0.dpt
DOI: 10.57745/xtuaiw
title: ech36-zn2alco3-cop.0
DOI: 10.57745/zu13uh
title: ech36-zn2alco3-cop.0.dpt
DOI: 10.57745/6zgsil
title: ECH39-ZN2ALCLO4.opju
DOI: 10.57745/9uvedl
title: ECH 38-ZN2ALCLO4-MES1-P50.txt
DOI: 10.57745/g9hrp3
title: ECH 38 ZnAlCLO4.opju
DOI: 10.57745/jo1txk
title: ECH 39-ZN2ALCl-MES1-P5100.txt
DOI: 10.57745/n6yqp1
title: ECH 39-ZN2ALCl-MES1-P50.txt
DOI: 10.57745/qbrob4
title: ECH 36-ZN2ALCO3-MES1-P50.txt
DOI: 10.57745/qflec4
title: ECH 36-ZN2ALCO3-MES1-P100.txt
DOI: 10.57745/uerwav
title: ECH36-ZN2ALCO3 NON TREATED.opju
DOI: 10.57745/vvy3vg
title: ECH 37-Zn2AlCO3.opju
DOI: 10.15468/dl.ccmwps
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020062-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/dkuggk
title: ech48-Zn2AlClO4.0
DOI: 10.57745/eawrny
title: ech 39-Zn2AlCl.opju
DOI: 10.57745/ee77ji
title: ech49-Zn2AlCl.0.0.dpt
DOI: 10.57745/eq4rad
title: ECH45-Zn2ALClO4.opju
DOI: 10.57745/ge7fxs
title: ECH 7-ZN2ALCO3-MES1-P100.txt
DOI: 10.57745/icokbt
title: ech49-Zn2AlCl.0
DOI: 10.57745/mqy606
title: ech48-Zn2AlClO4.0.dpt
DOI: 10.57745/wosu0g
title: ech7-Zn2AlCO3-hyd.0
DOI: 10.57745/zfcqg4
title: ech7-Zn2AlCO3-hyd.0.dpt
DOI: 10.57745/9siep7
title: Isothermes-12-38-39-12-02-21.bmp
DOI: 10.57745/ax0w10
title: ECH 7-ZN2ALCO3-MES6-P100.txt
DOI: 10.57745/ee61wb
title: ECH 7-ZN2ALCO3-MES3-P100.txt
DOI: 10.57745/ggsruo
title: Isothermes-33-34-36-02-02-21.bmp
DOI: 10.57745/ibalyg
title: ECH 9-ZN2ALNO3-MES1-P50.txt
DOI: 10.57745/swfkpr
title: ech9-Ni2AlCO3.opju
DOI: 10.57745/trndhd
title: ECH 9-ZN2ALCO3-MES1-P100.txt
DOI: 10.57745/uhc0yu
title: ECH 7-ZN2ALCO3-MES4-P100.txt
DOI: 10.57745/xgu4ff
title: ECH 7-ZN2ALCO3-MES5-P100.txt
DOI: 10.57745/zbfpmq
title: Isothermes-7-11-32-22-01-21.bmp
DOI: 10.57745/0lvwj0
title: Zn2AlCO3-ech7-P100-mes2.txt
DOI: 10.57745/6bqazy
title: Ni2AlCO3-ech9-P5-mes1.txt
DOI: 10.57745/a8bjzi
title: Ni2AlCO3-ech9-P10-mes1.txt
DOI: 10.57745/c6fzsg
title: psd-article.tab
DOI: 10.57745/dw6xbz
title: samples-and-characterizations.tab

description: Index of the composition of the samples and their various characterizations
DOI: 10.57745/gqw5eg
title: Ni2AlCO3-ech9-P10-mes2.txt
DOI: 10.57745/jcdhhf
title: Zn2AlCO3-ech7-P50-mes2txt.txt
DOI: 10.57745/qlfy09
title: Zn2AlCO3-ech7-P100-mes1.txt
DOI: 10.57745/taqbuv
title: Zn2AlCO3-ech7-P50-mes1.txt
DOI: 10.57745/ycww4l
title: XRD AFTER LB.opju
DOI: 10.15468/dl.8jvbg2
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020063-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/5ufwpt
title: psd-ech39.tab
DOI: 10.57745/ffuvkv
title: psd-ech36.tab
DOI: 10.57745/i1dse5
title: psd-ech38.tab
DOI: 10.57745/kbbboo
title: psd-ech12.tab
DOI: 10.57745/lnkdif
title: psd-ech21.tab
DOI: 10.57745/ulbytx
title: psd-ech7.tab
DOI: 10.17203/kdk631
title: A diszkrimináció hatása a tanulók erőfeszítéseire: Egy iskolai kísérlet
DOI: 10.5281/zenodo.14282771
title: Climatological Overview: October 2024 - Chios Town

description: October 2024 in Chios Town marked a transition from warm late summer days to cooler autumn weather. The absence of rainfall and persistent winds are indicative of a stable weather pattern during the month.

Temperature:



Average temperature: 20.3°C.

Highest temperature: 28.3°C on October 6.

Lowest temperature: 12.3°C on October 27.

Days with temperatures ≥ 32°C: None.


Rainfall:



Total rainfall: 0.0 mm (dry month).

Days with measurable rainfall (>0.2 mm): None.


Wind:



Average wind speed: 9.0 km/h.

Maximum wind speed: 51.5 km/h on October 18.

Dominant wind direction: North (N).


Conclusion:

October 2024 was characterized by mild temperatures, no precipitation, and consistent winds, predominantly from the north. The month represented a gradual cooling trend without significant weather disturbances.
DOI: 10.5281/zenodo.14282772
title: Climatological Overview: October 2024 - Chios Town

description: October 2024 in Chios Town marked a transition from warm late summer days to cooler autumn weather. The absence of rainfall and persistent winds are indicative of a stable weather pattern during the month.

Temperature:



Average temperature: 20.3°C.

Highest temperature: 28.3°C on October 6.

Lowest temperature: 12.3°C on October 27.

Days with temperatures ≥ 32°C: None.


Rainfall:



Total rainfall: 0.0 mm (dry month).

Days with measurable rainfall (>0.2 mm): None.


Wind:



Average wind speed: 9.0 km/h.

Maximum wind speed: 51.5 km/h on October 18.

Dominant wind direction: North (N).


Conclusion:

October 2024 was characterized by mild temperatures, no precipitation, and consistent winds, predominantly from the north. The month represented a gradual cooling trend without significant weather disturbances.
DOI: 10.15468/dl.b3j85s
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a56aws
title: Occurrence Download

description: A dataset containing 648503 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Esox lucius Linnaeus, 1758"
 ]
}

 The dataset includes 648503 records from 698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020015-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w549r
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopus sinensis d'Orbigny, 1834",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020065-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr3wnf
title: Occurrence Download

description: A dataset containing 1626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xeneretmus latifrons (Gilbert, 1890)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1626 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020066-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arzfbj
title: Occurrence Download

description: A dataset containing 3591899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Cycadopsida, Cycadopsis Debey, 1848, Pinopsida, Ginkgoopsida)",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Continent is South America"
 ]
}

 The dataset includes 3591899 records from 536 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020037-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uqkje
title: Occurrence Download

description: A dataset containing 175297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Torilis japonica (Houtt.) DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 175297 records from 1241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004554-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15011372
title: Dataset: Technological Unemployment in Leading Economics Journals

description: This dataset compiles 133 academic articles from twelve leading economics journals that discuss "technological unemployment." It provides a comprehensive view of how economists have conceptualized the relationship between technological change and employment over time.The articles were collected through a systematic search for the term "technological unemployment" across the full text of influential economics publications, including the "top five" journals (American Economic Review, Journal of Political Economy, Quarterly Journal of Economics, Review of Economic Studies, and Econometrica), five general interest journals (Economic Journal, Review of Economics and Statistics, Annual Review of Economics, Journal of Economic Perspectives, and Journal of Economic Surveys), and two field journals (Labour Economics and Economics of Innovation and New Technology). The collection spans from 1928 to recent publications.

After identifying 153 initial articles, we conducted a manual review to exclude non-substantive pieces, book reviews, and conference programs, resulting in the final corpus of 133 articles. Each article was then hand-coded along multiple dimensions:



Contribution type: Theoretical, Empirical, or Survey/Review

Theoretical possibility: Whether technological unemployment is considered possible in theory

Empirical occurrence: Whether technological unemployment is observed to have occurred in practice

Examples: Specific instances of technologically-induced job loss cited by authors

Temporal dimension: Whether effects are classified as permanent or temporary

Scale dimension: Whether effects are discussed at aggregate, sectoral/occupational, or individual levels


The detailed coding methodology is available in the Appendix of our paper "What is Technological Unemployment?". The dataset facilitates quantitative and qualitative analysis of how this concept has been treated in mainstream economics literature across different historical periods of technological change. More generally, it offers valuable resources for researchers studying the historical evolution of economic thought or patterns in academic concerns.

When using this dataset, please cite: Schneider, B., & Küsters, A. (2025). Dataset: Technological Unemployment in Leading Economics Journals [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15011373.For the complete analysis, refer to our (working) paper: Küsters, A., & Schneider, B. (2025). What is Technological Unemployment?
DOI: 10.5281/zenodo.15011373
title: Dataset: Technological Unemployment in Leading Economics Journals

description: This dataset compiles 133 academic articles from twelve leading economics journals that discuss "technological unemployment." It provides a comprehensive view of how economists have conceptualized the relationship between technological change and employment over time.The articles were collected through a systematic search for the term "technological unemployment" across the full text of influential economics publications, including the "top five" journals (American Economic Review, Journal of Political Economy, Quarterly Journal of Economics, Review of Economic Studies, and Econometrica), five general interest journals (Economic Journal, Review of Economics and Statistics, Annual Review of Economics, Journal of Economic Perspectives, and Journal of Economic Surveys), and two field journals (Labour Economics and Economics of Innovation and New Technology). The collection spans from 1928 to recent publications.

After identifying 153 initial articles, we conducted a manual review to exclude non-substantive pieces, book reviews, and conference programs, resulting in the final corpus of 133 articles. Each article was then hand-coded along multiple dimensions:



Contribution type: Theoretical, Empirical, or Survey/Review

Theoretical possibility: Whether technological unemployment is considered possible in theory

Empirical occurrence: Whether technological unemployment is observed to have occurred in practice

Examples: Specific instances of technologically-induced job loss cited by authors

Temporal dimension: Whether effects are classified as permanent or temporary

Scale dimension: Whether effects are discussed at aggregate, sectoral/occupational, or individual levels


The detailed coding methodology is available in the Appendix of our paper "What is Technological Unemployment?". The dataset facilitates quantitative and qualitative analysis of how this concept has been treated in mainstream economics literature across different historical periods of technological change. More generally, it offers valuable resources for researchers studying the historical evolution of economic thought or patterns in academic concerns.

When using this dataset, please cite: Schneider, B., & Küsters, A. (2025). Dataset: Technological Unemployment in Leading Economics Journals [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15011373.For the complete analysis, refer to our (working) paper: Küsters, A., & Schneider, B. (2025). What is Technological Unemployment?
DOI: 10.5281/zenodo.15010937
title: Handmatige Layout Analyse NL-ZlHCO_0003.1 (Collectie Overijssel - Resoluties van de Staten van Overijssel)

description: NL-ZlHCO_0003.1 bestaat uit 118 banden, en daarbinnen is een grote variatie aan layout aanwezig. Middels een inventarisatie (visueel) is een overzicht gemaakt van de layout.
DOI: 10.5281/zenodo.15010938
title: Handmatige Layout Analyse NL-ZlHCO_0003.1 (Collectie Overijssel - Resoluties van de Staten van Overijssel)

description: NL-ZlHCO_0003.1 bestaat uit 118 banden, en daarbinnen is een grote variatie aan layout aanwezig. Middels een inventarisatie (visueel) is een overzicht gemaakt van de layout.
DOI: 10.23636/jz91-6y82
title: Annotation Curation Tool Metadata - Collection Seed List

description: This data was extracted in July 2023 from the target records stored in the W3 Annotation Curation Tool (ACT), the curation software used to manage the metadata associated with archiving websites. It contains all the metadata records stored in ACT. The UK Web Archive started to use ACT to facilitate curatorial tasks, including adding metadata information, specifying how often a website should be ‘crawled’ (or captured) for the archive, checking the quality of captures, and seeking publishers’ permission to provide open access to selected sites when the Non-Print Legal Deposit Regulations 2013 were implemented. ACT was developed as a curatorial tool to help scale up the preservation of the UK web space in line with the new regulations. The previous curation tools used were PANDAS and Web Curator Tool. There are a number of records exported from ACT that were originally created in one of these legacy systems and migrated into ACT. The Annotation Curation Tool Metadata - Collection Seed List contains four documents: Annotation Curation Tool Metadata - Collection Seed List CSV Annotation Curation Tool Metadata - Collection Seed List JSON Datasheet for Annotation Curation Tool Metadata - Collection Seed List Data Dictionary Annotation Curation Tool Metadata - Collection Seed List
DOI: 10.25574/29596
title: Chandra X-ray Observatory ObsId 29596

description: AO-26 Mar 2025 Calibration Observations of Cas A
DOI: 10.25574/29597
title: Chandra X-ray Observatory ObsId 29597

description: AO-26 Mar 2025 Calibration Observations of Cas A