cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/dvmgia
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 8803

description: Herbarium
DOI: 10.48370/ofd/6xxxkh/m6jodp
title: HMW_Hieracium_laevigatum_Willd._H_8804.jpg

description: :unav
DOI: 10.48370/ofd/6xxxkh
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 8804

description: Herbarium
DOI: 10.48370/ofd/ablygj/nk65d2
title: HMW_Hieracium_laevigatum_Willd._H_8851.jpg

description: :unav
DOI: 10.48370/ofd/ablygj
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 8851

description: Herbarium
DOI: 10.48370/ofd/nwi1zt/kdy4rp
title: HMW_Hieracium_laevigatum_Willd._H_8852.jpg

description: :unav
DOI: 10.48370/ofd/nwi1zt
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 8852

description: Herbarium
DOI: 10.48370/ofd/p4tx4a/hd1sci
title: HMW_Hieracium_laevigatum_Willd._H_9210.jpg

description: :unav
DOI: 10.48370/ofd/p4tx4a
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 9210

description: Herbarium
DOI: 10.48370/ofd/1hrk73/6cwrej
title: HMW_Hieracium_laevigatum_Willd._H_9231.jpg

description: :unav
DOI: 10.48370/ofd/1hrk73
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 9231

description: Herbarium
DOI: 10.48370/ofd/zrh5mu/iotzlk
title: HMW_Hieracium_laevigatum_Willd._H_9238.jpg

description: :unav
DOI: 10.48370/ofd/zrh5mu
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 9238

description: Herbarium
DOI: 10.48370/ofd/5soicf/5nd1st
title: HMW_Hieracium_laevigatum_Willd._H_9288.jpg

description: :unav
DOI: 10.48370/ofd/5soicf
title: Jastrzębiec gładki (Hieracium laevigatum Willd.), 9288

description: Herbarium
DOI: 10.6084/m9.figshare.13154724
title: Modified Delphi Method Derivation of the FAMILY (Family Assessment of Medical Interventions & Liaisons with the Young) EMS Instrument

description: Though family satisfaction with prehospital care is a surrogate for quality and patient outcomes, there are no tools available to measure family satisfaction. To develop the EMS Family Assessment of Medical Interventions & Liaisons with the Young (FAMILY) instrument. Components of family experiences with pediatric prehospital care were identified with a modified Delphi method. The expert panel included Emergency Medical Technicians, paramedics, family representatives, and EMS leaders from Colorado, Connecticut, and Rhode Island. An online survey was used to assess proposed questions from each of five candidate domains from national guidelines, including Safety, Communication, Family Presence, Cultural Awareness, Children with Special Healthcare Needs and Overall Satisfaction. Round-1 items were scored on a five-point Likert scale. Inclusion in the final instrument required 70% agreement ranking items as “<i>include</i>” or “<i>definitely include</i>.” In Round-2, participants assessed proposed refinements. This resulted in FAMILY Version-1, with sections for family members and EMS care providers. EMSC Family Action Network (FAN) representatives evaluated the FAMILY, leading to Version-2. Suggestions from the national FAN about content, clarity, and whether the instrument captured their experiences with pediatric EMS care led to the final FAMILY version. Bilingual speakers translated the instrument into Spanish, while assessing the content for semantic, idiomatic, experiential, and conceptual equivalence between the English and Spanish versions. There were 22 experts in Round-1, and 20 continued into Round-2 .The Delphi process yielded 12 questions in six domains with 14 recommended modifications. Two questions were excluded. Five domains reached 70% agreement in Round-1. Cultural Awareness reached 75% agreement after Round-2. Six FAN representatives evaluated Version-1, leading to changes for clarity, content and cultural sensitivity. Seventeen FAN representatives evaluated Version-2 leading to additional refinement. The assessment of the equivalence between the English and Spanish survey versions resulted in changes in the Spanish language content for equivalent meaning. A panel of EMS and family stakeholders successfully developed an instrument to assess family satisfaction with pediatric EMS care. Further validation is required in a large respondent population. Assessing family satisfaction with pediatric EMS encounters is an important step toward improving prehospital care.
DOI: 10.6084/m9.figshare.13154724.v1
title: Modified Delphi Method Derivation of the FAMILY (Family Assessment of Medical Interventions & Liaisons with the Young) EMS Instrument

description: Though family satisfaction with prehospital care is a surrogate for quality and patient outcomes, there are no tools available to measure family satisfaction. To develop the EMS Family Assessment of Medical Interventions & Liaisons with the Young (FAMILY) instrument. Components of family experiences with pediatric prehospital care were identified with a modified Delphi method. The expert panel included Emergency Medical Technicians, paramedics, family representatives, and EMS leaders from Colorado, Connecticut, and Rhode Island. An online survey was used to assess proposed questions from each of five candidate domains from national guidelines, including Safety, Communication, Family Presence, Cultural Awareness, Children with Special Healthcare Needs and Overall Satisfaction. Round-1 items were scored on a five-point Likert scale. Inclusion in the final instrument required 70% agreement ranking items as “<i>include</i>” or “<i>definitely include</i>.” In Round-2, participants assessed proposed refinements. This resulted in FAMILY Version-1, with sections for family members and EMS care providers. EMSC Family Action Network (FAN) representatives evaluated the FAMILY, leading to Version-2. Suggestions from the national FAN about content, clarity, and whether the instrument captured their experiences with pediatric EMS care led to the final FAMILY version. Bilingual speakers translated the instrument into Spanish, while assessing the content for semantic, idiomatic, experiential, and conceptual equivalence between the English and Spanish versions. There were 22 experts in Round-1, and 20 continued into Round-2 .The Delphi process yielded 12 questions in six domains with 14 recommended modifications. Two questions were excluded. Five domains reached 70% agreement in Round-1. Cultural Awareness reached 75% agreement after Round-2. Six FAN representatives evaluated Version-1, leading to changes for clarity, content and cultural sensitivity. Seventeen FAN representatives evaluated Version-2 leading to additional refinement. The assessment of the equivalence between the English and Spanish survey versions resulted in changes in the Spanish language content for equivalent meaning. A panel of EMS and family stakeholders successfully developed an instrument to assess family satisfaction with pediatric EMS care. Further validation is required in a large respondent population. Assessing family satisfaction with pediatric EMS encounters is an important step toward improving prehospital care.
DOI: 10.48370/ofd/j8jm4l/qaujof
title: HMW_Hieracium_pilosella_L._H_0247.jpg

description: :unav
DOI: 10.48370/ofd/j8jm4l
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 247

description: Herbarium
DOI: 10.48370/ofd/1cmxjq/epeckh
title: HMW_Hieracium_pilosella_L._H_2562.jpg

description: :unav
DOI: 10.48370/ofd/1cmxjq
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 2562

description: Herbarium
DOI: 10.48370/ofd/mawjto/lpxyq9
title: HMW_Hieracium_pilosella_L._H_5394.jpg

description: :unav
DOI: 10.48370/ofd/mawjto
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 5394

description: Herbarium
DOI: 10.48370/ofd/ayahpn/gv9ouw
title: HMW_Hieracium_pilosella_L._H_5400.jpg

description: :unav
DOI: 10.48370/ofd/ayahpn
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 5400

description: Herbarium
DOI: 10.48370/ofd/rvrhw4/lqpsmk
title: HMW_Hieracium_pilosella_L._H_5547.jpg

description: :unav
DOI: 10.48370/ofd/rvrhw4
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 5547

description: Herbarium
DOI: 10.48370/ofd/jjggft/u1an1p
title: HMW_Hieracium_pilosella_L._H_9084.jpg

description: :unav
DOI: 10.48370/ofd/jjggft
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 9084

description: Herbarium
DOI: 10.48370/ofd/xezojl/kgyjji
title: HMW_Hieracium_pilosella_L._H_0968.jpg

description: :unav
DOI: 10.48370/ofd/xezojl
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 968

description: Herbarium
DOI: 10.48370/ofd/nazxpf/rkgflj
title: HMW_Hieracium_pilosella_L._H_0969.jpg

description: :unav
DOI: 10.48370/ofd/nazxpf
title: Jastrzębiec kosmaczek (Hieracium pilosella L.), 969

description: Herbarium
DOI: 10.5281/zenodo.5352060
title: [ITU AI/ML Challenge 2021] Dataset IEEE 802.11ax Spatial Reuse

description: This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (2021 edition). More information can be found here: https://challenge.aiforgood.itu.int/ The dataset contains the information of 10.000 IEEE 802.11ax deployments at which the Basic Service Set (BSS) of interest applies different possible OBSS/PD thresholds in the context of the Spatial Reuse (SR) operation. In total, 21 OBSS/PD values are considered for each deployment, so the dataset includes 210.000 simulations, which are expected to be used for training Machine Learning (ML) algorithms. More specifically, the proposed PS is focused on Federated Learning (FL).
DOI: 10.6084/m9.figshare.15173559
title: FT-ICR-MS based untargeted metabolomics for the discrimination of yeast mutants

description: The data consists of 3 replicates of 5 different strains of Saccharomyces cerevisiae: the reference BY4741 (or wild type) and 4 isogenic single-gene deletion mutants, ΔGLO1, ΔGLO2, ΔGRE3 (all related to methylglyoxal metabolism), and the control mutant ΔENO1. MS data were obtained from DI-ESI analysis in a 7T-Solarix XR FT-ICR-MS, operating in positive ionization mode. The raw data from the 15 samples were aligned using MetaboScape 4.0 (Brüker Daltonics) using the T-ReX algorithm. Normalization was performed using the standard leucine enkephalin.The files contain the data before normalization (5yeasts_notnorm.csv) and afternormalization by reference feature (5yeasts_norm.csv).<br>
DOI: 10.5281/zenodo.5356636
title: Data acquired by Agrob V14 @INESCTEC

description: <strong>DS_AG_26</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons14072015a1457.bag / ibeacons14072015a1457.orig.bag / 572Mb / ROSBag <strong>DS_AG_27</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons14072015a1546.bag / ibeacons14072015a1546.orig.bag / 225Mb / ROSBag <strong>DS_AG_28</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons20072015a1614.bag / ibeacons20072015a1614.orig.bag / 222Mb / ROSBag
DOI: 10.6084/m9.figshare.15173559.v1
title: FT-ICR-MS based untargeted metabolomics for the discrimination of yeast mutants

description: The data consists of 3 replicates of 5 different strains of Saccharomyces cerevisiae: the reference BY4741 (or wild type) and 4 isogenic single-gene deletion mutants, ΔGLO1, ΔGLO2, ΔGRE3 (all related to methylglyoxal metabolism), and the control mutant ΔENO1. MS data were obtained from DI-ESI analysis in a 7T-Solarix XR FT-ICR-MS, operating in positive ionization mode. The raw data from the 15 samples were aligned using MetaboScape 4.0 (Brüker Daltonics) using the T-ReX algorithm. Normalization was performed using the standard leucine enkephalin.The files contain the data before normalization (5yeasts_notnorm.csv) and afternormalization by reference feature (5yeasts_norm.csv).<br>
DOI: 10.48370/ofd/vqeesb/1n69aq
title: HMW_Hieracium_villosum_Jacq._H_1119.jpg

description: :unav
DOI: 10.5281/zenodo.5356635
title: Data acquired by Agrob V14 @INESCTEC

description: <strong>DS_AG_26</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons14072015a1457.bag / ibeacons14072015a1457.orig.bag / 572Mb / ROSBag <strong>DS_AG_27</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons14072015a1546.bag / ibeacons14072015a1546.orig.bag / 225Mb / ROSBag <strong>DS_AG_28</strong> Data acquired by Agrob V14 @INESCTEC<br> - IBeacons<br> - IMU<br> - GPS (Wrong)<br> - Monocular Camera<br> - Laser Scan<br> - Raw Data Sensors<br> - Power State<br> - CmdVel ibeacons20072015a1614.bag / ibeacons20072015a1614.orig.bag / 222Mb / ROSBag
DOI: 10.48370/ofd/vqeesb
title: Jastrzębiec kosmaty (Hieracium villosum Jacq.), 1119

description: Herbarium
DOI: 10.48370/ofd/7capvw/iogufw
title: HMW_Hieracium_villosum_Jacq._H_2024.jpg

description: :unav
DOI: 10.48370/ofd/7capvw
title: Jastrzębiec kosmaty (Hieracium villosum Jacq.), 2024

description: Herbarium
DOI: 10.5281/zenodo.5337009
title: Histopathology images for end-to-end AI, based on TCGA-BRCA

description: These are histopathological images which are derived from the TCGA-BRCA breast cancer histology dataset at https://portal.gdc.cancer.gov/ (please check this website for the original data license). They can be used for end-to-end artificial intelligence (AI) workflows such as DeepMed (https://github.com/KatherLab/deepmed) which aim to predict high-level features directly from digital images with weakly supervised transfer learning. Here, we use two subsets of these digitized images: 1) TCGA-BRCA-A2, these are all images from Walter Reed National Military Medical Center (tissue source site code A2, N=100 images) in the TCGA-BRCA database (tcga-brca-a2-deepmed-tiles.zip) 2) TCGA-BRCA-E2, these are all images from Roswell Park Comprehensive Cancer Center (tissue source site code E2, N=90 images) in the TCGA-BRCA database (tcga-brca-e2-deepmed-tiles.zip) see also https://gdc.cancer.gov/resources-tcga-users/tcga-code-tables/tissue-source-site-codes The images were preprocessed according to the Aachen Protocol for Deep Learning Histopathology which is available at https://zenodo.org/record/3694994. Specifically, digital whole slide images (SVS format) of hematoxylin & eosin (H&E) stained slides were tessellated (without manual annotations) into tiles of 256x256 px edge length at 1 µm/px. Then, images were color-normalized using the Macenko method as described before (https://www.nature.com/articles/s43018-020-0087-6) and saved as JPEG files. For the A2 cohort, an additional ZIP archive is provided in which only 100 random image tiles are saved for each patient (tcga-brca-a2-deepmed-tiles_100.zip). In addition, we provide a CLINI and a SLIDE table as defined in the "Aachen Protocol". The CLINI table contains clinico-pathological data for all included patients and it is derived from clinical information on www.cbioportal.org as well as from Thorsson et al. (https://pubmed.ncbi.nlm.nih.gov/29628290/). We recommend to use the A2 dataset for training and the E2 dataset for testing. Please cite the relevant papers if you re-use this dataset, more information is available on www.kather.ai
DOI: 10.5281/zenodo.5337008
title: Histopathology images for end-to-end AI, based on TCGA-BRCA

description: These are histopathological images which are derived from the TCGA-BRCA breast cancer histology dataset at https://portal.gdc.cancer.gov/ (please check this website for the original data license). They can be used for end-to-end artificial intelligence (AI) workflows such as DeepMed (https://github.com/KatherLab/deepmed) which aim to predict high-level features directly from digital images with weakly supervised transfer learning. Here, we use two subsets of these digitized images: 1) TCGA-BRCA-A2, these are all images from Walter Reed National Military Medical Center (tissue source site code A2, N=100 images) in the TCGA-BRCA database (tcga-brca-a2-deepmed-tiles.zip) 2) TCGA-BRCA-E2, these are all images from Roswell Park Comprehensive Cancer Center (tissue source site code E2, N=90 images) in the TCGA-BRCA database (tcga-brca-e2-deepmed-tiles.zip) see also https://gdc.cancer.gov/resources-tcga-users/tcga-code-tables/tissue-source-site-codes The images were preprocessed according to the Aachen Protocol for Deep Learning Histopathology which is available at https://zenodo.org/record/3694994. Specifically, digital whole slide images (SVS format) of hematoxylin & eosin (H&E) stained slides were tessellated (without manual annotations) into tiles of 256x256 px edge length at 1 µm/px. Then, images were color-normalized using the Macenko method as described before (https://www.nature.com/articles/s43018-020-0087-6) and saved as JPEG files. For the A2 cohort, an additional ZIP archive is provided in which only 100 random image tiles are saved for each patient (tcga-brca-a2-deepmed-tiles_100.zip). In addition, we provide a CLINI and a SLIDE table as defined in the "Aachen Protocol". The CLINI table contains clinico-pathological data for all included patients and it is derived from clinical information on www.cbioportal.org as well as from Thorsson et al. (https://pubmed.ncbi.nlm.nih.gov/29628290/). We recommend to use the A2 dataset for training and the E2 dataset for testing. Please cite the relevant papers if you re-use this dataset, more information is available on www.kather.ai
DOI: 10.25934/00000762.0
title: Available IPD datapackage for study 'A Randomised, Double-Blind, Parallel-Group, Placebo-Controlled Study Evaluating the Efficacy and Safety of GSK163090 in Subjects With Major Depressive Disorder'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00000762.1
title: IPD datapackage for study 'A Randomised, Double-Blind, Parallel-Group, Placebo-Controlled Study Evaluating the Efficacy and Safety of GSK163090 in Subjects With Major Depressive Disorder' and research request: 'Choosing the Right Antidepressant for Depressive Disorder in Adults: Individual Patient Data Network Meta-Analysis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00004917
title: Choosing the Right Antidepressant for Depressive Disorder in Adults: Individual Patient Data Network Meta-Analysis

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/kg4s52
title: Schistura thavonei, a new species of loach from northwestern Laos (Teleostei: Nemacheilidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kottelat, Maurice (2017): Schistura thavonei, a new species of loach from northwestern Laos (Teleostei: Nemacheilidae). Raffles Bulletin of Zoology 65: 395-403, DOI: http://doi.org/10.5281/zenodo.5357127
DOI: 10.48370/ofd/auppxr/pgovkp
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_1522.jpg

description: :unav
DOI: 10.48370/ofd/auppxr
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 1522

description: Herbarium
DOI: 10.48370/ofd/q5elpv/z1ajvf
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_2563.jpg

description: :unav
DOI: 10.48370/ofd/q5elpv
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 2563

description: Herbarium
DOI: 10.48370/ofd/1eqj0t/jksdky
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_3228.jpg

description: :unav
DOI: 10.48370/ofd/1eqj0t
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 3228

description: Herbarium
DOI: 10.48370/ofd/nqq14q/dujbgu
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_4413.jpg

description: :unav
DOI: 10.48370/ofd/nqq14q
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 4413

description: Herbarium
DOI: 10.48370/ofd/2ivvga/6kg2wu
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_4852.jpg

description: :unav
DOI: 10.48370/ofd/2ivvga
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 4852

description: Herbarium
DOI: 10.48370/ofd/pdzmkz/ejee5x
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_5384.jpg

description: :unav
DOI: 10.48370/ofd/pdzmkz
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 5384

description: Herbarium
DOI: 10.48370/ofd/yyd3vl/tyrhqz
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_5389.jpg

description: :unav
DOI: 10.48370/ofd/kofcxy/2ackhg
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_5519.jpg

description: :unav
DOI: 10.48370/ofd/kofcxy
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 5519

description: Herbarium
DOI: 10.48370/ofd/yyd3vl
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 5389

description: Herbarium
DOI: 10.48370/ofd/dxofcz/8edrk2
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_6239.jpg

description: :unav
DOI: 10.48370/ofd/s5diqc/bn25jq
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_6458.jpg

description: :unav
DOI: 10.48370/ofd/s5diqc
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 6458

description: Herbarium
DOI: 10.48370/ofd/dxofcz
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 6239

description: Herbarium
DOI: 10.48370/ofd/ukgnvm/g8n0lx
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_6459.jpg

description: :unav
DOI: 10.48370/ofd/ukgnvm
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 6459

description: Herbarium
DOI: 10.48370/ofd/oc7uac/1c2wnx
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_6967.jpg

description: :unav
DOI: 10.48370/ofd/oc7uac
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 6967

description: Herbarium
DOI: 10.48370/ofd/lboe0e/md4pkf
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_7866.jpg

description: :unav
DOI: 10.48370/ofd/xdlj6b/ivzarq
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_7901.jpg

description: :unav
DOI: 10.48370/ofd/lboe0e
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 7866

description: Herbarium
DOI: 10.48370/ofd/xdlj6b
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 7901

description: Herbarium
DOI: 10.48370/ofd/u7fctd/ug1fno
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_8180.jpg

description: :unav
DOI: 10.48370/ofd/ktnet0/xkupv2
title: HMW_Hieracium_lachenalii_C._C._Gmel._H_8188.jpg

description: :unav
DOI: 10.48370/ofd/u7fctd
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 8180

description: Herbarium
DOI: 10.48370/ofd/ktnet0
title: Jastrzębiec Lachenala (Hieracium lachenalii C. C. Gmel.), 8188

description: Herbarium