cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/arbbsh
title: Collecte permanente de données naturalistes sur la base de donnée participative en ligne de Vienne Nature (Fnat)-Synthèse 10x10km de la faune sauvage de la Directive Habitats-Faune-Flore recensée par l'association Vienne Nature de 2013 à 2017

description: La base de données a été interrogée pour répondre à une commande de la DREAL Nouvelle-Aquitaine portant sur la synthèse de données par année pour les espèces faune de la Directive Habitats-Faune-Flore (annexes 2, 4 et 5).

Sur la période 2013-2017 et pour chaque année (n=5), la première observation annuelle de chaque espèce a été sélectionnée par maille 10x10km. Le jeu de données concerne les groupes suivants : Mammifères, Reptiles, Amphibiens, Odonates, Lépidoptères, Coléoptères, Bivalves.

Cette synthèse prend également en compte les observations de taxons (exceptés les Oiseaux) collectées dans la base de données "Vienne LPO" et dupliquées dans la base de données FNat. Les identifiants sources (mis en place dans les bases de données sources) ont été conservés :
- les données saisies dans FNat possèdent un identifiant de type "VienneNature_xxx" (ex. : VienneNature_1, VienneNature_2...)
- les données saisies dans Vienne LPO possèdent un identifiant de type "xxx_vi" (ex. : 112_vi, 13542_vi...)
DOI: 10.15468/dl.8vdp46
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "OccurrenceStatus is Present",
 "TaxonKey is Neophron percnopterus",
 "Year 1980-1994"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041895-251025141854904/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/u3wu1r/kcam2r
title: 000231.dat
DOI: 10.13130/rd_unimi/u3wu1r/zx7zze
title: 000486.dat
DOI: 10.13130/rd_unimi/u3wu1r/ed0zsw
title: 000585.dat
DOI: 10.13130/rd_unimi/u3wu1r/ukfyih
title: 000763.dat
DOI: 10.13130/rd_unimi/u3wu1r/azjq8e
title: 000412.dat
DOI: 10.13130/rd_unimi/u3wu1r/mudiix
title: 000496.dat
DOI: 10.13130/rd_unimi/u3wu1r/qtxqpm
title: 000436.dat
DOI: 10.13130/rd_unimi/u3wu1r/wig1tl
title: 000485.dat
DOI: 10.15468/dl.ke533f
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.86938955318439",
 "DecimalLongitude is less than 5.87244910636879",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041896-251025141854904/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/u3wu1r/bnaqx2
title: 000482.dat
DOI: 10.13130/rd_unimi/u3wu1r/d9gvlg
title: 000673.dat
DOI: 10.13130/rd_unimi/u3wu1r/l48lxi
title: 000853.dat
DOI: 10.13130/rd_unimi/u3wu1r/pbhkwa
title: 000776.dat
DOI: 10.13130/rd_unimi/u3wu1r/xy5m01
title: 000178.dat
DOI: 10.13130/rd_unimi/u3wu1r/8qtuln
title: 000858.dat
DOI: 10.13130/rd_unimi/u3wu1r/kvt0ol
title: 000405.dat
DOI: 10.13130/rd_unimi/u3wu1r/6ggfsg
title: 000049.dat
DOI: 10.13130/rd_unimi/u3wu1r/ratrvl
title: 000369.dat
DOI: 10.13130/rd_unimi/u3wu1r/jyhjld
title: 000922.dat
DOI: 10.13130/rd_unimi/u3wu1r/g9krsr
title: 000164.dat
DOI: 10.13130/rd_unimi/u3wu1r/drujme
title: 000758.dat
DOI: 10.13130/rd_unimi/u3wu1r/kqukda
title: 000156.dat
DOI: 10.13130/rd_unimi/u3wu1r/mv5eko
title: 000834.dat
DOI: 10.13130/rd_unimi/u3wu1r/fufpqi
title: 000406.dat
DOI: 10.13130/rd_unimi/u3wu1r/klkwai
title: 000001.dat
DOI: 10.6084/m9.figshare.30647825
title: Activation markers of tumor infiltrated Hu-PBMCs in AVI model

description: Activation markers expression within the CD3+CD8+ population of hu-PBMCs infiltrated in MDA-MB-231 tumors or control tissues.
DOI: 10.6084/m9.figshare.30647825.v1
title: Activation markers of tumor infiltrated Hu-PBMCs in AVI model

description: Activation markers expression within the CD3+CD8+ population of hu-PBMCs infiltrated in MDA-MB-231 tumors or control tissues.
DOI: 10.13130/rd_unimi/u3wu1r/nmocto
title: 000836.dat
DOI: 10.13130/rd_unimi/u3wu1r/uu9vxv
title: 000708.dat
DOI: 10.13130/rd_unimi/u3wu1r/kfl8ba
title: 000191.dat
DOI: 10.13130/rd_unimi/u3wu1r/3vo3hx
title: 000411.dat
DOI: 10.13130/rd_unimi/u3wu1r/uhrzvp
title: 000367.dat
DOI: 10.13130/rd_unimi/u3wu1r/fdyo2z
title: 000223.dat
DOI: 10.13130/rd_unimi/u3wu1r/hfd40m
title: 000087.dat
DOI: 10.13130/rd_unimi/u3wu1r/12ujb9
title: 000006.dat
DOI: 10.13130/rd_unimi/u3wu1r/ssbmjb
title: 000308.dat
DOI: 10.13130/rd_unimi/u3wu1r/bp4wb2
title: 000287.dat
DOI: 10.13130/rd_unimi/u3wu1r/blzym7
title: 000476.dat
DOI: 10.13130/rd_unimi/u3wu1r/b1htcp
title: 000751.dat
DOI: 10.13130/rd_unimi/u3wu1r/787tco
title: 000328.dat
DOI: 10.13130/rd_unimi/u3wu1r/gkodmh
title: 000195.dat
DOI: 10.13130/rd_unimi/u3wu1r/p25ynz
title: 000848.dat
DOI: 10.13130/rd_unimi/u3wu1r/qcz3zc
title: 000657.dat
DOI: 10.13130/rd_unimi/u3wu1r/wtxjtm
title: 000672.dat
DOI: 10.13130/rd_unimi/u3wu1r/hwpw4p
title: 000355.dat
DOI: 10.13130/rd_unimi/u3wu1r/6e0boe
title: 000917.dat
DOI: 10.13130/rd_unimi/u3wu1r/iwfxss
title: 000278.dat
DOI: 10.13130/rd_unimi/u3wu1r/qmnsij
title: 000354.dat
DOI: 10.13130/rd_unimi/u3wu1r/wmbp9c
title: 000209.dat
DOI: 10.13130/rd_unimi/u3wu1r/a64dct
title: 000185.dat
DOI: 10.13130/rd_unimi/u3wu1r/9xqeub
title: 000703.dat
DOI: 10.13130/rd_unimi/u3wu1r/tcivi0
title: 000322.dat
DOI: 10.15468/hxtx6k
title: Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Alouette lulu 2001 - 2005 Coordonnées GPS Lambert 93

description: Aire de reproduction de l'espèce Alouette lulu fondée sur la présence de mâles chanteurs au printemps (avril – juin), à partir de points d’écoutes répartis le long d’itinéraires échantillons. Environ 5 000 points ont été visités chaque année entre 2001 et 2005
DOI: 10.13130/rd_unimi/u3wu1r/8gvkg4
title: 000009.dat
DOI: 10.13130/rd_unimi/u3wu1r/pzrdsx
title: 000273.dat
DOI: 10.13130/rd_unimi/u3wu1r/rwl9yp
title: 000262.dat
DOI: 10.13130/rd_unimi/u3wu1r/fzo3qd
title: 000638.dat
DOI: 10.13130/rd_unimi/u3wu1r/uhniuo
title: 000695.dat
DOI: 10.13130/rd_unimi/u3wu1r/tomewr
title: 000002.dat
DOI: 10.13130/rd_unimi/u3wu1r/qwjh0v
title: 000690.dat
DOI: 10.13130/rd_unimi/u3wu1r/qzbk1s
title: 000251.dat
DOI: 10.13130/rd_unimi/u3wu1r/j0rf0n
title: 000352.dat
DOI: 10.13130/rd_unimi/u3wu1r/sio25t
title: 000475.dat
DOI: 10.13130/rd_unimi/u3wu1r/yfykip
title: 000832.dat
DOI: 10.13130/rd_unimi/u3wu1r/x1fyad
title: 000074.dat
DOI: 10.13130/rd_unimi/u3wu1r/ojg9ep
title: 000495.dat
DOI: 10.13130/rd_unimi/u3wu1r/ddbatp
title: 000630.dat
DOI: 10.13130/rd_unimi/u3wu1r/j0zqgb
title: 000571.dat
DOI: 10.13130/rd_unimi/u3wu1r/rw69gk
title: 000025.dat
DOI: 10.13130/rd_unimi/u3wu1r/boammc
title: 000041.dat
DOI: 10.13130/rd_unimi/u3wu1r/pimw99
title: 000911.dat
DOI: 10.13130/rd_unimi/u3wu1r/jscfc7
title: 000779.dat
DOI: 10.13130/rd_unimi/u3wu1r/lo4yii
title: 000434.dat
DOI: 10.13130/rd_unimi/u3wu1r/pyh4e0
title: 000448.dat
DOI: 10.13130/rd_unimi/u3wu1r/ruan6c
title: 000582.dat
DOI: 10.15468/dl.w4kpcx
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 22.79913, -107.2188 22.79913, -107.2188 22.94913, -107.3688 22.94913, -107.3688 22.79913))"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041898-251025141854904/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/u3wu1r/wpmerf
title: 000431.dat
DOI: 10.6084/m9.figshare.30647471
title: Dataset: Predictors of Physical Education Teachers' Intentions to Learn Artificial Intelligence

description: This dataset accompanies the research titled, "Understanding Physical Education Teachers’ Intentions to Learn Artificial Intelligence: The Mediating Role of Attitudes Toward Artificial Intelligence."Background and Purpose:As artificial intelligence (AI) becomes integral to education, understanding the drivers of teacher adoption is critical. This study investigated the factors influencing physical education (PE) teachers' intentions to learn about AI. Specifically, it examined the direct and indirect relationships between AI self-efficacy, individual innovativeness, general attitudes toward AI, and AI learning intentions, testing the mediating role of attitudes toward AI.Methods:The research employed a cross-sectional, correlational survey design. Data were collected via an online survey from a sample of 1,021 physical education teachers recruited through snowball sampling. The survey instruments included validated scales measuring:AI Learning IntentionsIndividual InnovativenessAI Self-EfficacyGeneral Attitude Toward AIData and Files:The dataset ("Sheet 1") contains the raw, anonymized responses from the 1,021 participants. The data is structured for direct use in statistical analysis, particularly Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). All scales are measured on a 5-point Likert scale (1 = Strongly Disagree, 5 = Strongly Agree). Demographic variables (Gender, School Level, Age Group) are included with clear coding schemes detailed in the accompanying README.Key Findings:The structural equation model revealed:A strong, direct positive relationship between teachers' attitudes toward AI and their intention to learn about AI (β = 0.64, p &lt; .001).The relationships of AI self-efficacy and individual innovativeness with learning intention are fully mediated by attitudes toward AI.The model explained 42% of the variance in AI learning intention (R² = 0.42) and 40% of the variance in attitudes toward AI (R² = 0.40).Conclusions and Implications:The findings underscore that attitude toward AI is a crucial psychological mechanism through which self-efficacy and innovativeness influence learning intentions. This suggests that professional development programs aimed at integrating AI into physical education should adopt a dual focus: not only building technical skills (self-efficacy) but also proactively fostering positive attitudes toward AI to enhance teacher motivation and readiness.
DOI: 10.6084/m9.figshare.30647471.v1
title: Dataset: Predictors of Physical Education Teachers' Intentions to Learn Artificial Intelligence

description: This dataset accompanies the research titled, "Understanding Physical Education Teachers’ Intentions to Learn Artificial Intelligence: The Mediating Role of Attitudes Toward Artificial Intelligence."Background and Purpose:As artificial intelligence (AI) becomes integral to education, understanding the drivers of teacher adoption is critical. This study investigated the factors influencing physical education (PE) teachers' intentions to learn about AI. Specifically, it examined the direct and indirect relationships between AI self-efficacy, individual innovativeness, general attitudes toward AI, and AI learning intentions, testing the mediating role of attitudes toward AI.Methods:The research employed a cross-sectional, correlational survey design. Data were collected via an online survey from a sample of 1,021 physical education teachers recruited through snowball sampling. The survey instruments included validated scales measuring:AI Learning IntentionsIndividual InnovativenessAI Self-EfficacyGeneral Attitude Toward AIData and Files:The dataset ("Sheet 1") contains the raw, anonymized responses from the 1,021 participants. The data is structured for direct use in statistical analysis, particularly Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). All scales are measured on a 5-point Likert scale (1 = Strongly Disagree, 5 = Strongly Agree). Demographic variables (Gender, School Level, Age Group) are included with clear coding schemes detailed in the accompanying README.Key Findings:The structural equation model revealed:A strong, direct positive relationship between teachers' attitudes toward AI and their intention to learn about AI (β = 0.64, p &lt; .001).The relationships of AI self-efficacy and individual innovativeness with learning intention are fully mediated by attitudes toward AI.The model explained 42% of the variance in AI learning intention (R² = 0.42) and 40% of the variance in attitudes toward AI (R² = 0.40).Conclusions and Implications:The findings underscore that attitude toward AI is a crucial psychological mechanism through which self-efficacy and innovativeness influence learning intentions. This suggests that professional development programs aimed at integrating AI into physical education should adopt a dual focus: not only building technical skills (self-efficacy) but also proactively fostering positive attitudes toward AI to enhance teacher motivation and readiness.
DOI: 10.13130/rd_unimi/u3wu1r/bzdsti
title: 000675.dat
DOI: 10.13130/rd_unimi/u3wu1r/hyq7zv
title: 000819.dat
DOI: 10.15468/dl.dsa6k9
title: Occurrence Download

description: A dataset containing 2328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiognomonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2328 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041899-251025141854904/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/u3wu1r/wtf0xu
title: 000603.dat
DOI: 10.13130/rd_unimi/u3wu1r/ewzuyw
title: 000032.dat
DOI: 10.13130/rd_unimi/u3wu1r/wwtioz
title: 000194.dat
DOI: 10.13130/rd_unimi/u3wu1r/halcam
title: 000271.dat
DOI: 10.5519/qd.jt3t7rz7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13818 records)
DOI: 10.13130/rd_unimi/u3wu1r/mjn2hx
title: 000399.dat
DOI: 10.13130/rd_unimi/u3wu1r/ukdhor
title: 000084.dat
DOI: 10.13130/rd_unimi/u3wu1r/eajoeo
title: 000531.dat
DOI: 10.13130/rd_unimi/u3wu1r/auahxh
title: 000842.dat
DOI: 10.13130/rd_unimi/u3wu1r/8kd8os
title: 000790.dat
DOI: 10.13130/rd_unimi/u3wu1r/uvm7yb
title: 000745.dat
DOI: 10.13130/rd_unimi/u3wu1r/7e6zqi
title: 000936.dat
DOI: 10.13130/rd_unimi/u3wu1r/px9hjf
title: 000217.dat
DOI: 10.13130/rd_unimi/u3wu1r/mowjxf
title: 000285.dat
DOI: 10.13130/rd_unimi/u3wu1r/a4m1ei
title: 000263.dat
DOI: 10.13130/rd_unimi/u3wu1r/ygscc0
title: 000331.dat
DOI: 10.13130/rd_unimi/u3wu1r/zu8u4i
title: 000342.dat
DOI: 10.13130/rd_unimi/u3wu1r/bpuyfg
title: 000970.dat
DOI: 10.13130/rd_unimi/u3wu1r/3zq9wz
title: 000193.dat
DOI: 10.13130/rd_unimi/u3wu1r/abiyzg
title: 000572.dat
DOI: 10.15468/dl.a5wu5p
title: Occurrence Download

description: A dataset containing 13851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "IucnRedListCategory is EN",
 "Year 2022-2025"
 ]
}

 The dataset includes 13851 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041900-251025141854904/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/u3wu1r/qy3zdh
title: 000716.dat
DOI: 10.13130/rd_unimi/u3wu1r/8lcyfi
title: 000225.dat
DOI: 10.13130/rd_unimi/u3wu1r/sv6vjd
title: 000522.dat
DOI: 10.13130/rd_unimi/u3wu1r/acybmy
title: 000444.dat
DOI: 10.13130/rd_unimi/u3wu1r/bovm1z
title: 000840.dat
DOI: 10.13130/rd_unimi/u3wu1r/bgicsp
title: 000923.dat
DOI: 10.13130/rd_unimi/u3wu1r/lmtam4
title: 000958.dat
DOI: 10.13130/rd_unimi/u3wu1r/pkvxyt
title: 000892.dat
DOI: 10.13130/rd_unimi/u3wu1r/dogpet
title: 000980.dat
DOI: 10.13130/rd_unimi/u3wu1r/lr5hjz
title: 000497.dat
DOI: 10.13130/rd_unimi/u3wu1r/r13lkj
title: 000938.dat
DOI: 10.13130/rd_unimi/u3wu1r/x9ozqh
title: 000828.dat
DOI: 10.13130/rd_unimi/u3wu1r/a4p1fw
title: 000510.dat
DOI: 10.13130/rd_unimi/u3wu1r/axg56p
title: 000200.dat
DOI: 10.13130/rd_unimi/u3wu1r/rhnxxi
title: 000778.dat
DOI: 10.13130/rd_unimi/u3wu1r/qfnggs
title: 000341.dat
DOI: 10.13130/rd_unimi/u3wu1r/s6ypen
title: 000255.dat
DOI: 10.13130/rd_unimi/u3wu1r/hgtqxt
title: 000944.dat
DOI: 10.13130/rd_unimi/u3wu1r/jlwgjf
title: 000245.dat
DOI: 10.13130/rd_unimi/u3wu1r/iihdct
title: 000610.dat
DOI: 10.15468/hdnps7
title: CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes d'Anne TINCHANT

description: Les données issues de l'outil de gestion CardObs et de son application mobile Carnat (hors programme relavant d'un cadre d'acquisition spécifique) regroupent les observations de naturalistes expérimentés. Ces observations concernent la faune, la flore et la fonge tant continentales que marines. L’emprise géographique des saisies couvre la France métropolitaine et l’Outre-mer. Les données peuvent être opportunistes aussi bien que protocolées en fonction des utilisateurs, et peuvent disposer de champs complémentaires propres à chaque jeu de données. L'outil CardObs a été mis en place en 2007 par le Service du Patrimoine Naturel du MNHN. Il est actuellement géré par PatriNat (OFB, MNHN, CNRS, IRD).
DOI: 10.13130/rd_unimi/u3wu1r/2jqzpt
title: 000978.dat
DOI: 10.13130/rd_unimi/u3wu1r/astcs4
title: 000445.dat
DOI: 10.13130/rd_unimi/u3wu1r/pee9hy
title: 000903.dat
DOI: 10.13130/rd_unimi/u3wu1r/wnsxkr
title: 000823.dat
DOI: 10.13130/rd_unimi/u3wu1r/vtyn3c
title: 000974.dat
DOI: 10.13130/rd_unimi/u3wu1r/u2rca8
title: 000370.dat
DOI: 10.13130/rd_unimi/u3wu1r/0mnjhx
title: 000783.dat
DOI: 10.13130/rd_unimi/u3wu1r/m1yj61
title: 000350.dat
DOI: 10.13130/rd_unimi/u3wu1r/4fxnec
title: 000196.dat
DOI: 10.13130/rd_unimi/u3wu1r/tarppp
title: 000315.dat
DOI: 10.13130/rd_unimi/u3wu1r/bgehtf
title: 000205.dat
DOI: 10.13130/rd_unimi/u3wu1r/hihlqy
title: 000864.dat
DOI: 10.13130/rd_unimi/u3wu1r/cz3fsm
title: 000674.dat
DOI: 10.15468/dl.b266ju
title: Occurrence Download

description: A dataset containing 688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.87244910636879",
 "DecimalLongitude is less than 5.87550865955318",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 688 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041901-251025141854904/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/u3wu1r/n9fdjf
title: 000609.dat
DOI: 10.13130/rd_unimi/u3wu1r/fgzotk
title: 000160.dat
DOI: 10.13130/rd_unimi/u3wu1r/latiai
title: 000072.dat
DOI: 10.13130/rd_unimi/u3wu1r/ktodzn
title: 000487.dat
DOI: 10.13130/rd_unimi/u3wu1r/ieu7ej
title: 000416.dat
DOI: 10.13130/rd_unimi/u3wu1r/ujlzuh
title: 000773.dat
DOI: 10.13130/rd_unimi/u3wu1r/eoeq6w
title: 000602.dat
DOI: 10.13130/rd_unimi/u3wu1r/j9as7j
title: 000046.dat
DOI: 10.13130/rd_unimi/u3wu1r/szqlil
title: 000534.dat
DOI: 10.13130/rd_unimi/u3wu1r/jvkhp8
title: 000366.dat
DOI: 10.13130/rd_unimi/u3wu1r/nqtkvc
title: 000456.dat
DOI: 10.13130/rd_unimi/u3wu1r/s8hjjg
title: 000664.dat
DOI: 10.13130/rd_unimi/u3wu1r/pfwssp
title: 000772.dat
DOI: 10.13130/rd_unimi/u3wu1r/kdymv7
title: 000211.dat
DOI: 10.13130/rd_unimi/u3wu1r/nagz7c
title: 000878.dat
DOI: 10.13130/rd_unimi/u3wu1r/vfejqt
title: 000359.dat
DOI: 10.13130/rd_unimi/u3wu1r/qn7nm8
title: 000236.dat
DOI: 10.13130/rd_unimi/u3wu1r/xndf4d
title: 000530.dat
DOI: 10.13130/rd_unimi/u3wu1r/yxlo9p
title: 000880.dat
DOI: 10.13130/rd_unimi/u3wu1r/hulcms
title: 000712.dat
DOI: 10.13130/rd_unimi/u3wu1r/yhtipx
title: 000642.dat
DOI: 10.13130/rd_unimi/u3wu1r/lptn51
title: 000297.dat
DOI: 10.13130/rd_unimi/u3wu1r/1givp5
title: 000383.dat
DOI: 10.13130/rd_unimi/u3wu1r/exmnia
title: 000621.dat
DOI: 10.13130/rd_unimi/u3wu1r/4hwe5g
title: 000439.dat
DOI: 10.13130/rd_unimi/u3wu1r/771xfn
title: 000717.dat
DOI: 10.13130/rd_unimi/u3wu1r/yqjznc
title: 000579.dat
DOI: 10.13130/rd_unimi/u3wu1r/4hc0tp
title: 000624.dat
DOI: 10.13130/rd_unimi/u3wu1r/0mnlyt
title: 000920.dat
DOI: 10.13130/rd_unimi/u3wu1r/yenjsz
title: 000267.dat
DOI: 10.13130/rd_unimi/u3wu1r/jpbkvy
title: 000377.dat
DOI: 10.13130/rd_unimi/u3wu1r/vj5fg1
title: 000460.dat
DOI: 10.13130/rd_unimi/u3wu1r/7yt3mk
title: 000479.dat
DOI: 10.13130/rd_unimi/u3wu1r/k346x8
title: 000432.dat
DOI: 10.13130/rd_unimi/u3wu1r/llvgwd
title: 000144.dat
DOI: 10.13130/rd_unimi/u3wu1r/pcxtke
title: 000403.dat
DOI: 10.13130/rd_unimi/u3wu1r/btox1k
title: 000133.dat
DOI: 10.13130/rd_unimi/u3wu1r/o5nokm
title: 000489.dat
DOI: 10.15468/pruern
title: Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Tourterelle des bois 2001 - 2005 Coordonnées GPS Lambert 93

description: Aire de reproduction de l'espèce Tourterelle des bois fondée sur la présence de mâles chanteurs au printemps (avril – juin), à partir de points d’écoutes répartis le long d’itinéraires échantillons. Environ 5 000 points ont été visités chaque année entre 2001 et 2005
DOI: 10.13130/rd_unimi/u3wu1r/ffhu03
title: 000737.dat
DOI: 10.13130/rd_unimi/u3wu1r/mdzbww
title: 000775.dat
DOI: 10.13130/rd_unimi/u3wu1r/sanlra
title: 000984.dat
DOI: 10.13130/rd_unimi/u3wu1r/b1xfay
title: 000174.dat
DOI: 10.15468/dl.f59f6m
title: Occurrence Download

description: A dataset containing 879736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heracleum sphondylium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 879736 records from 2796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041851-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58150/icils_2023_data_2
title: ICILS 2023 International Database: International Computer and Information Literacy Study_Edition_2

description: The ICILS study measures international differences in students’ computer and information literacy (CIL). This type of literacy refers to students’ ability to use computers to investigate, create, and communicate in order to participate effectively at home, at school, in the workplace, and in the community. In addition to student achievement, the study collects a rich array of contextual data on students' home and school environments.
ICILS 2023 directly linked to the previous, 2018 cycle, allowing countries that participated in both assessments to monitor changes over time in their students' computer and information literacy achievement and its teaching and learning contexts. For first-time participants, ICILS shed light on the contexts and outcomes of ICT-related education programs, and the role of schools and teachers in supporting students’ computer and information literacy achievement.
ICILS 2023 also reported on the computational thinking domain, understood as the process of working out exactly how computers can help us solve problems. This domain included not only programming but also structuring and manipulating data sets.
Edition 2 of this database was supplemented by the following information:
-42 additional variables (process data from the Farm Drone module)
-Updates to two scales (the international and national indices of socioeconomic background)
-A few variable label changes for existing Farm Drone process data variables
description: ICILS
description: Educational measurements and tests
description: Computer Based Assessment and Survey
DOI: 10.5281/zenodo.15553568
title: Data for the direct and inverse orbital/spin Hall effects in W(110) and Pt(111) films

description: Dongwook Go, Tom S. Seifert, Tobias Kampfrath, Kazuya Ando, Hyun-Woo Lee, Yuriy MokrousovLocal and Global Reciprocity in Orbital-Charge-Coupled TransportarXiv:2407.00517