cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/2efdkh/1ozsko
title: WET (Channel 1) 283 - 00032.tif
DOI: 10.13130/rd_unimi/2efdkh/gkkxvv
title: WET (Channel 1) 287 - 00047.tif
DOI: 10.13130/rd_unimi/2efdkh/uucfhz
title: WET (Channel 1) 286 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/igfxxp
title: pos2_after1flood.tif
DOI: 10.13130/rd_unimi/2efdkh/6cmh1q
title: WET (Channel 1) 284 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/oqntst
title: WET (Channel 1) 284 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/wtys9m
title: WET (Channel 1) 286 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/rfmn1j
title: WET (Channel 1) 287 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/kozsau
title: WET (Channel 1) 286 - 00021.tif
DOI: 10.13130/rd_unimi/2efdkh/fgyk1x
title: WET (Channel 1) 283 - 00053.tif
DOI: 10.13130/rd_unimi/2efdkh/9qd850
title: WET (Channel 1) 289 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/e6pi4c
title: random_after1flood_blackareA.tif
DOI: 10.13130/rd_unimi/2efdkh/ah6yws
title: WET (Channel 1) 285 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/u1gpf4
title: WET (Channel 1) 283 - 00044.tif
DOI: 10.13130/rd_unimi/2efdkh/eja5ds
title: WET (Channel 1) 282 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/hdtscg
title: WET (Channel 1) 287 - 00062.tif
DOI: 10.13130/rd_unimi/2efdkh/d2iqun
title: WET (Channel 1) 281 - 00039.tif
DOI: 10.13130/rd_unimi/2efdkh/hg9qev
title: WET (Channel 1) 284 - 00037.tif
DOI: 10.13130/rd_unimi/2efdkh/cpvmgc
title: WET (Channel 1) 284 - 00026.tif
DOI: 10.13130/rd_unimi/2efdkh/qvsajr
title: WET (Channel 1) 286 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/zrktjy
title: WET (Channel 1) 281 - 00041.tif
DOI: 10.13130/rd_unimi/2efdkh/eg3krg
title: WET (Channel 1) 284 - 00032.tif
DOI: 10.13130/rd_unimi/2efdkh/o99eha
title: WET (Channel 1) 281 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/lf2f5h
title: WET (Channel 1) 284 - 00048.tif
DOI: 10.13130/rd_unimi/2efdkh/rjraoh
title: dopa2.tif
DOI: 10.13130/rd_unimi/2efdkh/dhgdvz
title: WET (Channel 1) 284 - 00027.tif
DOI: 10.13130/rd_unimi/2efdkh/pqymdl
title: WET (Channel 1) 282 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/wb6fyp
title: WET (Channel 1) 283 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/zyxtij
title: WET (Channel 1) 288 - 00032.tif
DOI: 10.13130/rd_unimi/2efdkh/2uwl4a
title: WET (Channel 1) 289 - 00002.tif
DOI: 10.13130/rd_unimi/2efdkh/gueeyw
title: WET (Channel 1) 286 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/oejtqz
title: WET (Channel 1) 281 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/b5dqae
title: WET (Channel 1) 287 - 00051.tif
DOI: 10.13130/rd_unimi/2efdkh/vwzicw
title: WET (Channel 1) 286 - 00018.tif
DOI: 10.13130/rd_unimi/2efdkh/9isjwr
title: WET (Channel 1) 287 - 00027.tif
DOI: 10.13130/rd_unimi/2efdkh/htnta7
title: WET (Channel 1) 284 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/2jmki4
title: WET (Channel 1) 281 - 00027.tif
DOI: 10.13130/rd_unimi/2efdkh/tg4xg7
title: WET (Channel 1) 288 - 00018.tif
DOI: 10.13130/rd_unimi/2efdkh/wpiakl
title: WET (Channel 1) 286 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/sggu49
title: 5.tif
DOI: 10.13130/rd_unimi/2efdkh/i1mnoj
title: WET (Channel 1) 289 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/5bnfzs
title: WET (Channel 1) 281 - 00048.tif
DOI: 10.13130/rd_unimi/2efdkh/tfl99j
title: pos3_80.tif
DOI: 10.13130/rd_unimi/2efdkh/ojsy1c
title: WET (Channel 1) 286 - 00001.tif
DOI: 10.13130/rd_unimi/2efdkh/145qpv
title: pos3_90.tif
DOI: 10.13130/rd_unimi/2efdkh/waogpn
title: WET (Channel 1) 287 - 00063.tif
DOI: 10.13130/rd_unimi/2efdkh/enkkf3
title: WET (Channel 1) 282 - 00024.tif
DOI: 10.13130/rd_unimi/2efdkh/ozj0cs
title: WET (Channel 1) 287 - 00024.tif
DOI: 10.13130/rd_unimi/2efdkh/eyw6ma
title: WET (Channel 1) 282 - 00039.tif
DOI: 10.13130/rd_unimi/2efdkh/qu7lu7
title: WET (Channel 1) 282 - 00043.tif
DOI: 10.13130/rd_unimi/2efdkh/2zhr57
title: WET (Channel 1) 284 - 00036.tif
DOI: 10.13130/rd_unimi/2efdkh/8ukbf2
title: WET (Channel 1) 288 - 00035.tif
DOI: 10.13130/rd_unimi/2efdkh/09p0pp
title: WET (Channel 1) 282 - 00023.tif
DOI: 10.13130/rd_unimi/2efdkh/ffqcsj
title: WET (Channel 1) 288 - 00009.tif
DOI: 10.13130/rd_unimi/2efdkh/dhmtcs
title: WET (Channel 1) 286 - 00029.tif
DOI: 10.13130/rd_unimi/2efdkh/vfibdy
title: WET (Channel 1) 284 - 00023.tif
DOI: 10.13130/rd_unimi/2efdkh/e0rzz4
title: POS1_90.tif
DOI: 10.13130/rd_unimi/2efdkh/q00x4u
title: d_002.tif
DOI: 10.13130/rd_unimi/2efdkh/epiaz3
title: WET (Channel 1) 287 - 00038.tif
DOI: 10.13130/rd_unimi/2efdkh/vcgokk
title: WET (Channel 1) 286 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/miuiyo
title: WET (Channel 1) 284 - 00057.tif
DOI: 10.13130/rd_unimi/2efdkh/1taiqr
title: WET (Channel 1) 282 - 00058.tif
DOI: 10.13130/rd_unimi/2efdkh/nv4pwu
title: 2.tif
DOI: 10.13130/rd_unimi/2efdkh/bfuchf
title: WET (Channel 1) 284 - 00045.tif
DOI: 10.13130/rd_unimi/2efdkh/rrt5jx
title: WET (Channel 1) 283 - 00056.tif
DOI: 10.13130/rd_unimi/2efdkh/l3bisw
title: whitesheet.tif
DOI: 10.13130/rd_unimi/2efdkh/g8uulx
title: WET (Channel 1) 281 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/gojoek
title: 3_001.tif
DOI: 10.13130/rd_unimi/2efdkh/sbo9r2
title: fibreafterdissolution_001.tif
DOI: 10.13130/rd_unimi/2efdkh/kqy3zz
title: WET (Channel 1) 284 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/pru35o
title: dopa4.tif
DOI: 10.13130/rd_unimi/2efdkh/tsme3g
title: WET (Channel 1) 282 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/pq4ipa
title: 1.tif
DOI: 10.13130/rd_unimi/2efdkh/1w31pl
title: whitespeck.bmp
DOI: 10.13130/rd_unimi/2efdkh/z2bsys
title: WET (Channel 1) 284 - 00044.tif
DOI: 10.13130/rd_unimi/2efdkh/jg6rvn
title: pos1_after1flood_002.tif
DOI: 10.13130/rd_unimi/2efdkh/e2w7t7
title: WET (Channel 1) 287 - 00058.tif
DOI: 10.13130/rd_unimi/2efdkh/jsl4gb
title: secondfibre.tif
DOI: 10.13130/rd_unimi/2efdkh/t7v5fi
title: WET (Channel 1) 287 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/tpt3lz
title: WET (Channel 1) 283 - 00030.tif
DOI: 10.13130/rd_unimi/2efdkh/hpxj8z
title: secondfibre_020.tif
DOI: 10.13130/rd_unimi/2efdkh/ht1nte
title: WET (Channel 1) 281 - 00038.tif
DOI: 10.13130/rd_unimi/2efdkh/mpryab
title: WET (Channel 1) 284 - 00038.tif
DOI: 10.13130/rd_unimi/2efdkh/fj7ql4
title: WET (Channel 1) 282 - 00040.tif
DOI: 10.13130/rd_unimi/2efdkh/fgnyqm
title: WET (Channel 1) 285 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/ghjctg
title: WET (Channel 1) 284 - 00002.tif
DOI: 10.13130/rd_unimi/2efdkh/j5m2kh
title: pos2_80.tif
DOI: 10.13130/rd_unimi/2efdkh/wvcq5i
title: AFTERFLOOD.tif
DOI: 10.13130/rd_unimi/2efdkh/amvrot
title: WET (Channel 1) 281 - 00037.tif
DOI: 10.13130/rd_unimi/2efdkh/tod4gc
title: WET (Channel 1) 283 - 00015.tif
DOI: 10.13130/rd_unimi/2efdkh/v1qpnu
title: pos3_40.tif
DOI: 10.13130/rd_unimi/2efdkh/vxpfic
title: WET (Channel 1) 289 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/z3h5qk
title: secondfibre_019.tif
DOI: 10.13130/rd_unimi/2efdkh/jgrcow
title: WET (Channel 1) 284 - 00019.tif
DOI: 10.13130/rd_unimi/2efdkh/ya76qe
title: WET (Channel 1) 281 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/4nqxxi
title: POS2_FAR.tif
DOI: 10.13130/rd_unimi/2efdkh/ohwhru
title: secondfibre_023.tif
DOI: 10.15468/dl.88ej2m
title: Occurrence Download

description: A dataset containing 147311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula glomerata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 147311 records from 1028 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039924-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/2efdkh/lbyxad
title: WET (Channel 1) 288 - 00006.tif
DOI: 10.13130/rd_unimi/2efdkh/ogagmw
title: WET (Channel 1) 284 - 00024.tif
DOI: 10.13130/rd_unimi/2efdkh/bjgv7o
title: WET (Channel 1) 283 - 00022.tif
DOI: 10.13130/rd_unimi/2efdkh/9t8bij
title: secondfibre_031.tif
DOI: 10.13130/rd_unimi/2efdkh/bpniob
title: WET (Channel 1) 283 - 00049.tif
DOI: 10.13130/rd_unimi/2efdkh/erwlqm
title: aftersecondflooding.bmp
DOI: 10.13130/rd_unimi/2efdkh/3jw5tv
title: WET (Channel 1) 282 - 00005.tif
DOI: 10.13130/rd_unimi/2efdkh/93cqss
title: AFTER5MINFLOOD.tif
DOI: 10.13130/rd_unimi/2efdkh/8pagok
title: WET (Channel 1) 286 - 00010.tif
DOI: 10.13130/rd_unimi/2efdkh/jkebbp
title: WET (Channel 1) 287 - 00012.tif
DOI: 10.13130/rd_unimi/2efdkh/brvktc
title: WET (Channel 1) 284 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/relj6y
title: WET (Channel 1) 289 - 00011.tif
DOI: 10.13130/rd_unimi/2efdkh/6bc3px
title: WET (Channel 1) 284 - 00014.tif
DOI: 10.13130/rd_unimi/2efdkh/fialyp
title: WET (Channel 1) 283 - 00050.tif
DOI: 10.13130/rd_unimi/2efdkh/nkwx7e
title: WET (Channel 1) 287 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/pvoiin
title: secondfibre_027.tif
DOI: 10.13130/rd_unimi/2efdkh/godgsw
title: WET (Channel 1) 284 - 00042.tif
DOI: 10.13130/rd_unimi/2efdkh/0v1clb
title: WET (Channel 1) 283 - 00055.tif
DOI: 10.13130/rd_unimi/2efdkh/nffkss
title: WET (Channel 1) 282 - 00003.tif
DOI: 10.13130/rd_unimi/2efdkh/u7oa3b
title: secondfibre_014.tif
DOI: 10.13130/rd_unimi/2efdkh/c6ow79
title: dopa3.if.tif
DOI: 10.13130/rd_unimi/2efdkh/nlhblb
title: WET (Channel 1) 286 - 00013.tif
DOI: 10.13130/rd_unimi/2efdkh/sphftl
title: WET (Channel 1) 286 - 00035.tif
DOI: 10.13130/rd_unimi/2efdkh/brtlzs
title: POS3.tif
DOI: 10.13130/rd_unimi/2efdkh/wsrwbe
title: WET (Channel 1) 284 - 00054.tif
DOI: 10.13130/rd_unimi/2efdkh/pk3hik
title: WET (Channel 1) 288 - 00007.tif
DOI: 10.13130/rd_unimi/2efdkh/uhqoyq
title: WET (Channel 1) 287 - 00060.tif
DOI: 10.13130/rd_unimi/2efdkh/7gt5lx
title: WET (Channel 1) 287 - 00039.tif
DOI: 10.13130/rd_unimi/2efdkh/amcttq
title: WET (Channel 1) 287 - 00061.tif
DOI: 10.13130/rd_unimi/2efdkh/ownrvj
title: WET (Channel 1) 284 - 00028.tif
DOI: 10.13130/rd_unimi/2efdkh/roru1o
title: WET (Channel 1) 289 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/1mkwu0
title: WET (Channel 1) 281 - 00042.tif
DOI: 10.13130/rd_unimi/2efdkh/9wbzts
title: WET (Channel 1) 286 - 00026.tif
DOI: 10.13130/rd_unimi/2efdkh/hjd7n9
title: pos2_71.tif
DOI: 10.13130/rd_unimi/2efdkh/zxrtxk
title: WET (Channel 1) 283 - 00025.tif
DOI: 10.13130/rd_unimi/2efdkh/yn4ugh
title: WET (Channel 1) 282 - 00019.tif
DOI: 10.13130/rd_unimi/2efdkh/trlen7
title: d_006.tif
DOI: 10.13130/rd_unimi/2efdkh/amfczw
title: WET (Channel 1) 289 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/gbfof4
title: WET (Channel 1) 289 - 00006.tif
DOI: 10.13130/rd_unimi/2efdkh/jjofcx
title: WET (Channel 1) 287 - 00001.tif
DOI: 10.13130/rd_unimi/2efdkh/rpsbi0
title: WET (Channel 1) 281 - 00035.tif
DOI: 10.13130/rd_unimi/2efdkh/ghqbzn
title: secondfibre_002.tif
DOI: 10.13130/rd_unimi/2efdkh/zizbid
title: WET (Channel 1) 287 - 00041.tif
DOI: 10.13130/rd_unimi/2efdkh/hj1oak
title: WET (Channel 1) 283 - 00033.tif
DOI: 10.13130/rd_unimi/2efdkh/icwvub
title: WET (Channel 1) 285 - 00004.tif
DOI: 10.13130/rd_unimi/2efdkh/uxbxtp
title: WET (Channel 1) 285 - 00016.tif
DOI: 10.13130/rd_unimi/2efdkh/hxpjb1
title: WET (Channel 1) 287 - 00034.tif
DOI: 10.13130/rd_unimi/2efdkh/cjrvzw
title: WET (Channel 1) 281 - 00024.tif
DOI: 10.13130/rd_unimi/2efdkh/ztodsf
title: WET (Channel 1) 283 - 00020.tif
DOI: 10.13130/rd_unimi/2efdkh/r3coyz
title: fibreafterdissolution_004.tif
DOI: 10.13130/rd_unimi/2efdkh/wvd3wl
title: WET (Channel 1) 281 - 00008.tif
DOI: 10.13130/rd_unimi/2efdkh/h9akw8
title: WET (Channel 1) 282 - 00011.tif
DOI: 10.15468/dl.fv9cw3
title: Occurrence Download

description: A dataset containing 10566 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((59.09159 67.21425, 61.97036 67.21425, 61.97036 70.44863, 59.09159 70.44863, 59.09159 67.21425))"
 ]
}

 The dataset includes 10566 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011182-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3tg72
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.1_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cercopithecidae"
 ]
}

 The dataset includes 202 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011183-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14wvzkb
title: Environmental Characteristics of Fuel Breaks for Analyzing Resistance to Annual Grass Invasion

description: Wildfire is an increasingly important driver of changes within sagebrush (Artemisia spp.) ecosystems of the western United States, often resulting in increased spread of exotic annual grasses, such as cheatgrass (Bromus tectorum), and subsequent losses of native vegetation and wildlife habitat. Fuel breaks, areas of land treated to reduce or redistribute hazardous fuels, are widely implemented to help prevent the spread of wildfires and provide areas to facilitate firefighting efforts. However, localized installation and maintenance of fuel breaks directly reduces or removes vegetation and may propagate the spread of exotic annual grasses into fuel break boundaries and surrounding areas, weakening ecological resilience to disturbance. These data supported investigation of exotic annual grass cover in association with fuel breaks across the sagebrush biome using multiple data sources, including targeted field surveys, land-management agency monitoring data, and remotely sensed vegetation cover data products, using space-for-time substitution within a Progressive-Change Before-After Control-Impact (PC BACI) study design, which accounted for confounding effects of roads. The data include measurements of exotic annual grass cover at survey locations performed by the Bureau of Land Management Assessment, Inventory, and Monitoring (AIM) program, field measurements of exotic annual grass cover collected at designated fuel breaks and control sites performed by the U.S. Geological Survey, and remotely sensed measurements of exotic annual grass and forb cover collected at field survey locations. Each set of data is accompanied by multiple environmental covariates used to characterize the ecosystem within which the analyses were conducted.
DOI: 10.15468/dl.88umj5
title: Occurrence Download

description: A dataset containing 69714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Colombia",
 "Geometry POLYGON((-73.83315 3.65721,-73.12522 3.65721,-73.12522 4.19445,-73.83315 4.19445,-73.83315 3.65721))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 69714 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012450-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds007222.v1.0.0
title: Visual Occlusions with Treadmill Walking Speeds EEG
DOI: 10.5281/zenodo.18261419
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.18261420
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260115s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260115s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5517/cc5z98p
title: CCDC 178072: Experimental Crystal Structure Determination

description: Related Article: E.A.Vinogradova, O.Yu.Vassilyeva, V.N.Kokozay, B.W.Skelton, J.K.Bjernemose, P.R.Raithby|2002|J.Chem.Soc.,Dalton Trans.||4248|doi:10.1039/b205917g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5z99q
title: CCDC 178073: Experimental Crystal Structure Determination

description: Related Article: E.A.Vinogradova, O.Yu.Vassilyeva, V.N.Kokozay, B.W.Skelton, J.K.Bjernemose, P.R.Raithby|2002|J.Chem.Soc.,Dalton Trans.||4248|doi:10.1039/b205917g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5z9br
title: CCDC 178074: Experimental Crystal Structure Determination

description: Related Article: E.A.Vinogradova, O.Yu.Vassilyeva, V.N.Kokozay, B.W.Skelton, J.K.Bjernemose, P.R.Raithby|2002|J.Chem.Soc.,Dalton Trans.||4248|doi:10.1039/b205917g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7910/dvn/ykamut
title: Baltimore Longitudinal Study of Attachment, 1963-1967

description: Begun in 1964, the study provided a naturalistic longitudinal field examination of the development of infant-mother attachment throughout the infant’s first year of life. The study also included a controlled laboratory session known as the "Strange Situation" for further exploration of infant attachment behavior.
&lt;br /&gt;&lt;br /&gt;The main purposes of the study were to (1) identify the various behaviors that may be classed together as attachment behavior and to trace their development, (2) describe how these behaviors become organized and focused on the mother figure, determining the nature of the infant's attachment to her, (3) describe individual differences in the development of attachment behavior and the organization of attachment, (4) ascertain how environmental influences, and in particular the behaviorof the mother figure, affect this development, and (5) investigate the relationship between infant-mother attachment and other aspects of social and cognitive development.
&lt;br /&gt;&lt;br /&gt;The sample consisted of 26 white, middle-class, infant-mother pairs in intact families from metropolitan Baltimore, Maryland. Sixteen of the babies were boys; ten were girls. Six of the boys but none of the girls were firstborns. In return for participating in the study, the project paid for routine visits to the pediatrician throughout the child's first year. Maternal and infant variables were assessed in both naturalistic and laboratory settings. &lt;br /&gt;&lt;br /&gt;The Murray Research Archive holds all original transcribed narrative reports of the 26 subjects. No further waves of data collection are planned. Access to the raw data is denied to participant families in the study.
DOI: 10.15468/dl.usedp7
title: Occurrence Download

description: A dataset containing 241429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquila clanga"
 ]
}

 The dataset includes 241429 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012442-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17737609
title: Electron localization function and related descriptors in benzene
DOI: 10.5281/zenodo.18261396
title: Electron localization function and related descriptors in benzene
DOI: 10.5281/zenodo.18035390
title: [Data & Code] Turning Citation Networks Inside Out: Studying Science Using Content-Based Knowledge Graphs from LLM-Derived Taxonomies

description: Title:Turning Citation Networks Inside Out: Studying Science Using Content-Based Knowledge Graphs from LLM-Derived TaxonomiesAbstract:Scientific fields are usually studied using citations and other metadata, even though papers primarily transmit knowledge through their content. We present an “inside-out” approach that reconstructs a field structure directly from textual content by converting each paper into a small set of interpretable knowledge components. Using a large language model to induce domain-specific taxonomies and to label papers, we represent every publication as a triplet of measure, data type, and research-question type, and build a knowledge graph whose edges are weighted by shared papers. On a tightly curated corpus of 617 studies of intergenerational wealth mobility, this content-level graph reveals a stable methodological backbone—regression-based mobility measures, alongside substantial temporal variation in how dominant components are recombined into pairs and triads. Beyond frequency, we introduce normalized betweenness-to-connectivity ratios that highlight components and pairings that act as disproportionately important structural bridges relative to their prevalence, pointing to combinations that are central to the knowledge network despite limited uptake. Our work demonstrates how content-derived, taxonomy-driven graphs can complement citation-based science mapping by exposing the evolving architecture of methods, data, and questions that define a research field.Data List:



LLM_prompts_summary.py: All the prompts used to generate and assign taxonomy categories.

figures.ipynb: To reproduce the figures in the paper with this notebook

edge_capa_investigation.ipynb: To investigate the changes in edge capacitance with an additional triplet into the network. (Note that other types of investigations are possible, as functions are added in edge_capacitance_inquiry.py)

random_graph.ipynb: To create random graphs. 

fig_network_graphml_lightcolor.gexf: Gephi file for visualization of the network


 

More can be found in our GitHub repository.