cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.30445334
title: Pollen transfer between cultivated and wild Honeybush (Cyclopia)species

description: Cyclopia pollination, crossing and ploidy data
DOI: 10.25381/cput.30445334.v1
title: Pollen transfer between cultivated and wild Honeybush (Cyclopia)species

description: Cyclopia pollination, crossing and ploidy data
DOI: 10.6084/m9.figshare.21674960
title: Spatial simplification

description: Simplification algorithms comparison dataset and codes
DOI: 10.6084/m9.figshare.21674960.v9
title: Spatial simplification

description: Simplification algorithms comparison dataset and codes
DOI: 10.6084/m9.figshare.21674960.v8
title: Spatial simplification (CODE and DATA)

description: Simplification algorithms comparison dataset and codes
DOI: 10.5281/zenodo.17411953
title: AMP Autoencoders

description:  Generative models for antimicrobial peptide design: auto-encoders and beyond

This repository contains the datasets and generative models for our paper.

The code for training and peptide generation can be found on GitHubOur Study can be found here: TBA

Our study presents a comparative analysis of contemporary deep learning models’ generative performance for generating novel antimicrobial peptides. The models examined include Variational Auto-Encoders, a Wasserstein Auto-Encoder, a Recurrent Neural Network and a Language Model. The primary focus of this study is the systematic comparison and evaluation of various methods and sampling options to identify the most suitable model and sampling strategy combination for different use cases.

The datasets used for training and comparison are located in the datasets.tar.gz archive.There are three peptide datasets, with precomputed peptide descriptors.- amp_descriptors.csv: The training dataset with precomputed descriptors- uniprot_descriptors.csv: The comparison dataset with UniProt sequences and precomputed descriptors- eskape_pathogens_train_dataset.csv: The training dataset with sequences only

The models are located in separate tar.gz archives. For all VAE models the second part of the name denotes the type ofannealing schedule used. The encoder and decoder of the auto-encoder models are saved as separate models.- vae_normal.tar.gz: VAE without annealing- vae_logistic.tar.gz: VAE with logistic annealing- vae_linear.tar.gz: VAE with linear annealing- vae_cyclic.tar.gz: VAE with cyclic annealing- rnn.tar.gz: The RNN model- language_model.tar.gz: Language model and its tokenizer- wae.tar.gz: The Wasserstein auto-encoder

Important: All auto-encoders and the RNN are only  compatible with Keras below version 3.0! The language model can be used or trained using more up-to-date versions of the frameworks. Problems may occur due to the different Keras and TensorFlow versions (Keras 2.15.0 and TensorFlow 2.15.0 were used for the auto-encoders).
DOI: 10.5281/zenodo.17411954
title: AMP Autoencoders

description:  Generative models for antimicrobial peptide design: auto-encoders and beyond

This repository contains the datasets and generative models for our paper.

The code for training and peptide generation can be found on GitHubOur Study can be found here: TBA

Our study presents a comparative analysis of contemporary deep learning models’ generative performance for generating novel antimicrobial peptides. The models examined include Variational Auto-Encoders, a Wasserstein Auto-Encoder, a Recurrent Neural Network and a Language Model. The primary focus of this study is the systematic comparison and evaluation of various methods and sampling options to identify the most suitable model and sampling strategy combination for different use cases.

The datasets used for training and comparison are located in the datasets.tar.gz archive.There are three peptide datasets, with precomputed peptide descriptors.- amp_descriptors.csv: The training dataset with precomputed descriptors- uniprot_descriptors.csv: The comparison dataset with UniProt sequences and precomputed descriptors- eskape_pathogens_train_dataset.csv: The training dataset with sequences only

The models are located in separate tar.gz archives. For all VAE models the second part of the name denotes the type ofannealing schedule used. The encoder and decoder of the auto-encoder models are saved as separate models.- vae_normal.tar.gz: VAE without annealing- vae_logistic.tar.gz: VAE with logistic annealing- vae_linear.tar.gz: VAE with linear annealing- vae_cyclic.tar.gz: VAE with cyclic annealing- rnn.tar.gz: The RNN model- language_model.tar.gz: Language model and its tokenizer- wae.tar.gz: The Wasserstein auto-encoder

Important: All auto-encoders and the RNN are only  compatible with Keras below version 3.0! The language model can be used or trained using more up-to-date versions of the frameworks. Problems may occur due to the different Keras and TensorFlow versions (Keras 2.15.0 and TensorFlow 2.15.0 were used for the auto-encoders).
DOI: 10.5281/zenodo.17468945
title: MedNet
DOI: 10.5281/zenodo.17468944
title: MedNet
DOI: 10.15468/dl.bupn7h
title: Occurrence Download

description: A dataset containing 21442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argynnis adippe"
 ]
}

 The dataset includes 21442 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006407-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g3nth
title: Occurrence Download

description: A dataset containing 2449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx pardinus"
 ]
}

 The dataset includes 2449 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006408-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17898/10057/1
title: Priloga 4.docx

description: vprašanja, ki sem jih prilagajala sogovornikom v sami raziskavi bolj ali manj po istem kopitu
DOI: 10.17898/10057/2
title: Borec_intervju_Zakaj bi živel življenje nekoga drugega_Škrabec_2024 .docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/3
title: Borec_intervju_Uspeh je posledica sreče, dela in poguma_Simić_2024.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/4
title: Borec_ Če boš vrojen potencial za vodjo kam pripeljal ali ne, je odvisno od dela, sreče in spleta okoliščin_intervju_2024_čistopis.docx

description: transkript celotnega pogovora
DOI: 10.5281/zenodo.17465227
title: HipBridgeEMG: sEMG Dataset of Posterior Muscles During Glute Bridge and PHE

description: This is a set of raw surface electromyography (EMG) signals from key lower posterior chain muscles collected during two well-known hip extension exercises — the glute bridge and the prone hip extension (PHE). Data were recorded bilaterally from the erector spinae, gluteus maximus, biceps femoris, and rectus femoris muscles in healthy, physically active adults performing standardized exercise trials under controlled laboratory conditions.
description: We collected the EMG signals using BTS Bioengineering's FREEEMG with a sampling frequency of 1000 Hz. We attached electrodes to the left and right rectus femoris, gluteus maximus, erector spinae, and biceps femoris, following the SENIAM guidelines.
DOI: 10.5281/zenodo.17465228
title: HipBridgeEMG: sEMG Dataset of Posterior Muscles During Glute Bridge and PHE

description: This is a set of raw surface electromyography (EMG) signals from key lower posterior chain muscles collected during two well-known hip extension exercises — the glute bridge and the prone hip extension (PHE). Data were recorded bilaterally from the erector spinae, gluteus maximus, biceps femoris, and rectus femoris muscles in healthy, physically active adults performing standardized exercise trials under controlled laboratory conditions.
description: We collected the EMG signals using BTS Bioengineering's FREEEMG with a sampling frequency of 1000 Hz. We attached electrodes to the left and right rectus femoris, gluteus maximus, erector spinae, and biceps femoris, following the SENIAM guidelines.
DOI: 10.17898/10057/5
title: intervju Iztok Seljak.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/6
title: Bratušek intervju.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/7
title: Janković Dobri vodje, če hočejo ustvarjati nove vodje, boljše od sebe - jim prepuščajo slavo.docx

description: transkript celotnega pogovra
DOI: 10.17898/10057/8
title: Marko Lukić intervju.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/9
title: Logar_intervju_Borec_2025.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/10
title: Borec_intervju_V politiki, v poslu in v športu vsi večkrat zgubljamo kot zmagujemo avtoriziran.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/11
title: Borec_intervju_Če delaš v tehnološki firmi, brez vizije ne gre_ Prodnik_2024_čistopis.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/12
title: Tim Žagar.docx

description: transkript celotnega pogovora v okviru magistrske naloge
DOI: 10.17898/10057/13
title: Borec_V poslu rabiš trmo, srečo, vztrajnost, realistične cilje, EQ in tisto nekaj, s čimer se rodiš_intervju_Mes_2024.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/14
title: vprašalnik.docx

description: vprašanja za polstrukturirane intervjuje
DOI: 10.17898/10057/15
title: Boštjan_Gorjup_intervju_2024_magistrsko delo_v1_čistopis.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/16
title: Borec_Skromnost,spostovanje,drznost, strast in intuicija-pet lastnosti dobrega vodje_intervju_2023.docx

description: transkript celotnega pogovora
DOI: 10.17898/10057/17
title: Najboljši vodja je tisti, ki živi to, kar je_intervju_Borec_2023_čistopis.docx

description: transkript intervjuja
DOI: 10.17898/10057/18
title: baza podatkov.docx

description: za vsako od skupin zbrani odgovori vseh intervjuvancve na vsakega od preučevanih konceptov
DOI: 10.17898/10057/19
title: Stojan Petrić intervju-1.docx

description: transkript celotnega intervjuja
DOI: 10.17898/10057/20
title: transkript za ADP in magisterij Selak-1.docx

description: transkript celotnega intervjuja
DOI: 10.17898/10057/21
title: Brodnjak Vrhunski menedžment je stvar energije, ne tehnike-v2.docx

description: :unav
DOI: 10.17898/10057/22
title: poglavje Golobič-v2.docx

description: :unav
DOI: 10.17898/10057/23
title: Kučan poglavje-v2.docx

description: :unav
DOI: 10.17898/10057/24
title: Mermal Če gledaš vizionarsko ur ne vidiš-v2.docx

description: :unav
DOI: 10.17898/10057/25
title: Borec_intervju_Zmagovalci imamo to lastnost da radi tečemo čez ovire_Kresal_2024-v2.docx

description: :unav
DOI: 10.17898/10057/26
title: poglavje Mervar-v2.docx

description: :unav
DOI: 10.17898/10057/27
title: poglavje Šimonka-v2.docx

description: :unav
DOI: 10.17898/10057/28
title: Snežić Dobrega vodjo ne sme biti strah ničesar, niti smrti-v2.docx

description: :unav
DOI: 10.18746/bmth.data.00000469
title: Evidence of anthropogenic subsidisation of red foxes in a national park important for breeding wading birds - dataset
DOI: 10.17898/10059
title: Razumevanje vzpona velike sile na primeru Kitajske, 2020

description: Namen raziskave je bil s sistematičnim pregledom in dekonstrukcijo raziskovalnih predpostavk, z uporabo reflektivnega branja in ročne analize ključnih znanstvenih virov, preučiti razvoj in strukture raziskovalnega področja, ki se ukvarja z vzponom Kitajske kot velike sile, pri čemer se raziskovanje osredotoča na teoretske, metodološke in vrednostne usmeritve, ki utemeljujejo to polje med letoma 1978 in 2019. Jedro empirične analize temelji na podatkovni zbirki znanstvenih člankov, ki je bila 19. 10. 2020 ustvarjena s pomočjo bibliografske baze podatkov Web of Science (WoS). Iskanje je bilo omejeno na članke s ključno besedo China, objavljene v znanstveni kategoriji "International Relations", pri čemer so bili v prvem koraku vključeni le članki z vsaj 10 citati, kar je zagotovilo izbor 1.501 vplivnejših del. V nadaljnjem postopku je bila baza podatkov dodatno filtrirana na revije najvišjega vplivnostnega kvartila Q1 v letu 2020, kar je izbor zmanjšalo na 761 člankov. Slednji članki so bili podvrženi ročni analizi, pri kateri so bili dekodirani glede na štiri ključne raziskovalne predpostavke po Guzziniju (2013): empirične, konstitutivne, meta-teoretske in normativne predpostavke. Podatki so sistematično organizirani, kar omogoča identifikacijo in analizo tematskih, metodoloških in teoretskih trendov na temo vzpona Kitajske skozi različna časovna obdobja. Posebna pozornost je namenjena časovni analizi raziskovalnih tem, prepoznavanju sprememb v teoretskih pristopih in metodologijah ter njihovi distribuciji v znanstveni literaturi. Dekonstrukcija raziskovalnih predpostavk omogoča celovit vpogled v način, kako se vzpon Kitajske interpretira znotraj akademske skupnosti, in prispeva k širšemu razumevanju, kako se oblikuje raziskovalni diskurz o vzponu velike sile v mednarodnih odnosih. Raziskava je bila narejena v okviru doktorske disertacije.
DOI: 10.17898/10059/1
title: PRILOGA A.xls

description: Izvleček najbolj citirane znanstvene literature 1978-2019
DOI: 10.17898/10059/2
title: PRILOGA B.xlsx

description: Dekonstrukcija najbolj citirane znanstvene literature 1978-2019, glede na prisotnost predpostavk. Vrednosti spremenljivk H-X: 0=Ne, 1=Da
DOI: 10.17898/10071
title: Vprašanje evropske integracije v Jugoslaviji in Sloveniji v letih 1989-1991

description: Raziskava predstavlja del raziskovanega projekta ERC "Open Borders" (polni naslov: Cold War Europe beyond Borders: A Transnational History of Cross-Border Practices in the Alps-Adriatic Area from World War II to the Present). Raziskava obravnava čas obstoja Socialistične federativne republike Jugoslavije in se osredinja na Socialistično republiko Slovenijo kot njen sestavni del. Integracijski proces, ki ga je v Evropski ekonomski skupnosti sprožil Enotni evropski akt (1986), je tudi znotraj socialistične Jugoslavije, še zlasti pa v njeni najsevernejši republiki Sloveniji sprožil premislek o modalitetah nadaljnjega sodelovanja s tem največjim svetovnim gospodarskim blokom v nastajanju. Z namenom osvetliti do sedaj nepoznane podrobnosti diplomatskih procesov, ki so tekli med Beogradom in Brusljem, raziskava na osnovi gradiv jugoslovanskih zveznih organov, ki so se ukvarjali z mednarodnimi odnosi, analizira zapleteno razmerje med notranjo politično- ekonomsko situacijo v Jugoslaviji ob koncu osemdesetih let na eni strani in zunanjepolitičnimi težnjami reformistične vlade Anteja Markovića na drugi strani. V svojem drugem delu raziskava prehaja na nivo Socialistične republike Slovenije, kjer se je nezadovoljstvo s tempom jugoslovanskih zveznih oblasti pri naporih za vključevanje v evropski enotni trg odrazilo v izdelavi lastnega načrta harmonizacije zakonskih in podzakonskih aktov z evropsko regulativo. S ciljem predstaviti ta v svojem izhodišču tehnokratski, na koncu pa celovit kulturno-politični načrt, strnjen v volilnem geslu Zveze komunistov Slovenije »Evropa zdaj!« iz leta 1990, raziskava v ted segmentu analizira arhivsko gradivo najvišjih republiških upravnih organov in evidentira daljnosežni vpliv procesa »evropeizacije« v slovenskih družbi in politiki v začetku devetdesetih let.
DOI: 10.17898/10071/1
title: ADP_archival material form-Ramsak 2024-ang.tab

description: :unav
DOI: 10.17898/10071/2
title: ADP_archival material form-Ramsak 2024-slo.tab

description: :unav
DOI: 10.5519/qd.2iuskxpk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3861 records)
DOI: 10.15468/mvdzqk
title: Hotspots de biodiversité en Nouvelle-Aquitaine-Données issues du logiciel "Faune Limousin"

description: Les cartes de répartition utilisées dans le cadre du projet Hotspots ont été produites à partir de 14 millions de données d'observations (faune et flore) collectées par les naturalistes régionaux, que ce soit dans le cadre d’échantillonnages systématiques ou dans le cadre de programmes de sciences participatives.

Ces données d'observations ont été compilées en conservant uniquement, pour chaque espèce, la donnée la plus récente par maille de 1x1km. 
Dans l'échantillon obtenu, les seules informations attributaires conservées sont l'espèce, l'année d'observation et la localisation dégradée à la maille 1x1km.

Ce jeu de donnée comprend les données issues de cet échantillon dont les données sources proviennent du logiciel "Faune Limousin"
DOI: 10.15468/dl.q6dpzd
title: Occurrence Download

description: A dataset containing 699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Canis lupus baileyi"
 ]
}

 The dataset includes 699 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006409-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58142/swps-jcz-jt-10/2025
title: The effects of narrative framing of own broken love on understanding the past and imagining the future in close relationships
DOI: 10.15468/axcydv
title: 2009-2020台灣蝴蝶普查

description: 2009-2020台灣各地蝴蝶普查，志工自發性公民科學調查，調查範圍主要位於中部地區，以年為單位進行每月一次的調查，採穿越線調查，自劃20個樣區。

From 2009 to 2020, there was a comprehensive butterfly census conducted across various regions in Taiwan, led by voluntary citizen scientists. The survey primarily focused on the middle part of Taiwan and involved monthly investigations on a yearly basis. The survey methodology employed transect line surveys, covering a total of 20 designated sampling sites.
DOI: 10.15468/dl.tnu92w
title: Occurrence Download

description: A dataset containing 12213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Country is Somalia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 12213 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006410-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17474546
title: Data, Scripts underlying the manuscript

description: Data & Scripts of manuscript
DOI: 10.5281/zenodo.17474593
title: openwashdata/handpumpstatusdata: HandPumpStatus - Malawi 2020

description: This dataset contains detailed field survey records of borehole and handpump functionality verification exercises conducted in Chiradzulu District, Malawi in February 2020. Data was collected by BASEflow using the mWater mobile data collection platform. Each record represents a single site visit to a water point, capturing GPS coordinates, technical assessments, water availability, environmental conditions, and maintenance history.
DOI: 10.5281/zenodo.17474594
title: openwashdata/handpumpstatusdata: HandPumpStatus - Malawi 2020

description: This dataset contains detailed field survey records of borehole and handpump functionality verification exercises conducted in Chiradzulu District, Malawi in February 2020. Data was collected by BASEflow using the mWater mobile data collection platform. Each record represents a single site visit to a water point, capturing GPS coordinates, technical assessments, water availability, environmental conditions, and maintenance history.
DOI: 10.5281/zenodo.17474552
title: DMRsegaldata Source Files

description:  Data package providing example DNA methylation files. Includes a sorted beta matrix as a tab-delimited, bgzip-compressed file and a matching phenotype table. The data contains 10 healthy and 10 cancer samples, and preprocessing has already been performed on the beta values.
DOI: 10.15468/b8qdah
title: 2024_naturing_observation_all_9020

description: 2024 Citizien Science Observation (2) Via NATURING (Citizen Science Platform)
DOI: 10.15468/yqb3kw
title: Données de la quête INPN Espèces : Qu'il est gros cet escargot !

description: L’objectif de cette quête est d’améliorer la connaissance sur la répartition des deux plus grandes espèces d’escargots terrestres de France métropolitaine : l’Escargot de Bourgogne et l’Escargot turc. 

L'Escargot de Bourgogne et l'Escargot turc possèdent une épaisse coquille de forme globuleuse mesurant entre 3 et 5 cm. Les deux espèces se distinguent par leur couleur. L'Escargot de Bourgogne, appelé aussi "Gros-blanc", présente une coquille de couleur blanc-crème et un corps clair gris-blanc. L'Escargot turc présente quant à lui une coquille et un corps foncé nettement brun-chocolat avec des bandes spirales brunes bien marquées ainsi qu'une ligne blanche remarquable sur le dernier tour de la coquille.

Si ces deux espèces font partie de la même famille, les enjeux de conservation sont bien différents. L’Escargot de Bourgogne est protégé, l’objectif de la quête sera de récolter de nouvelles données de présence. L’Escargot turc est une espèce introduite en France en 1883 dans l’agglomération lyonnaise et s’est ensuite dispersée dans le reste du pays. La connaissance sur son aire de répartition doit être précisée.
DOI: 10.15468/dl.t44jxf
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alternanthera philoxeroides",
 "Year 2000-2025"
 ]
}

 The dataset includes 270 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006411-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/1vd38g
title: Observations opportunistes rassemblées par l'Observatoire PELAGIS - Observations opportunistes de mammifères marins de l'observatoire PELAGIS

description: Ce jeu de données est issu d'une base de données Access gérée par l'Observatoire PELAGIS. Elle rassemble les données d'observations opportunistes, tout observateur confondu qui transmet des observations de mammifères marins de manière participative. Une validation est réalisée par l'Observatoire PELAGIS. Les observations jugées douteuses ou probables n'ont pas été intégrées à ce jeu de données.
DOI: 10.15468/dytntx
title: Swedish Bird Survey: Swedish waterbird census (January)

description: The Swedish waterbird census in January (Svensk sjöfågelinventering (januari)) was started in 1967 as part of the international midwinter census of waterbirds coordinated by Wetlands International. The winter count of waterbirds is therefore one of the longest running surveys of Swedish birds. It is a valuable tool for monitoring the changes in the wintering populations of waterbirds in Sweden. It also provides good information of the wintering distribution of most of the species.The Swedish waterbird census (January) is one of several schemes within the Swedish Bird Survey, run by the Department of Biology at Lund University. The surveys are with a few exceptions carried out by volunteer ornithologists. The survey is mainly financed by the Swedish Environmental Protection Agency, but smaller contributions come from the county administrative boards and BirdLife Sverige. The results from the survey are reported to Wetlands International.In this dataset, some information is placed in the table ExtendedMeasurementOrFacts (eMoF), which is part of the Source Archive available to download directly from the dataset’s page on gbif.org. The Source Archive contains the data exactly as uploaded to gbif (verbatim). Should you choose to download the dataset as GBIF Annotated Archive instead, the data has been interpreted and quality controlled by gbif, but, the data in the eMoF will not be included, as the eMoF extension is not yet supported by gbif.