cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28788707
title: Narratives of Distrust: Climate Change, Disinformation, and the Dynamics of Right-Wing Media

description: This study examines climate change narratives within the Midnight Rider Telegram channel, an alternative media platform characterized by minimal content moderation and high susceptibility to disinformation. Using inductive thematic analysis, we identify four interrelated narrative themes: Faultfinding, Disinformation, Elitism, and Appeal to Emotion. This channel was selected for analysis due to data availability around the COP period, the number of subscribers, and its association with right-wing followers. Our research focuses on how these narratives were constructed in this media Telegram channel between November 2, 2023, and January 10, 2024, around the time of COP28. We filtered messages using specific keywords relevant to climate change. For our analysis, we decided to focus exclusively on channel messages and short videos (shorter than 10 minutes) and to exclude images, due to the low number of images and their minimal text content. We transcribed the videos using the AI-driven video editor Descript (https://www.descript.com/) and merged the transcribed video content and the text messages into one document in chronological order. Thematic analysis was conducted using MAXQDA, a qualitative data analysis software, to identify patterns and themes in the collected data. The process involved familiarizing ourselves with the data, generating initial codes, searching for themes, reviewing and refining these themes, and producing a report on the findings. We ultimately identified nine codes, which were then grouped into four overarching themes.
DOI: 10.6084/m9.figshare.28788707.v1
title: Narratives of Distrust: Climate Change, Disinformation, and the Dynamics of Right-Wing Media

description: This study examines climate change narratives within the Midnight Rider Telegram channel, an alternative media platform characterized by minimal content moderation and high susceptibility to disinformation. Using inductive thematic analysis, we identify four interrelated narrative themes: Faultfinding, Disinformation, Elitism, and Appeal to Emotion. This channel was selected for analysis due to data availability around the COP period, the number of subscribers, and its association with right-wing followers. Our research focuses on how these narratives were constructed in this media Telegram channel between November 2, 2023, and January 10, 2024, around the time of COP28. We filtered messages using specific keywords relevant to climate change. For our analysis, we decided to focus exclusively on channel messages and short videos (shorter than 10 minutes) and to exclude images, due to the low number of images and their minimal text content. We transcribed the videos using the AI-driven video editor Descript (https://www.descript.com/) and merged the transcribed video content and the text messages into one document in chronological order. Thematic analysis was conducted using MAXQDA, a qualitative data analysis software, to identify patterns and themes in the collected data. The process involved familiarizing ourselves with the data, generating initial codes, searching for themes, reviewing and refining these themes, and producing a report on the findings. We ultimately identified nine codes, which were then grouped into four overarching themes.
DOI: 10.3535/22p-pbs-gwr
title: Tanacetum macrophyllum (Waldst. & Kit.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ddy-xr1-hns
title: Ononis spinosa subsp. spinosa

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lr8-pg2-bl9
title: Rumex crispus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/emm-d5t-rdl
title: Echinops ritro var. ruthenicus (M. Bieb.) Schrad.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kp7-n16-ad4
title: Echinops ritro subsp. ritro

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/44j-zpa-9s0
title: Centaurea lacerata (Hausskn.) Halácsy

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/frl-vv2-3td
title: Ononis spinosa subsp. spinosa

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2jw-5gd-sl0
title: Ononis spinosa subsp. spinosa

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1ya-g4t-e9y
title: Centaurea jacea subsp. weldeniana (Rchb.) Greuter

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/b6g-zs5-bkw
title: Teucrium montanum subsp. helianthemoides (Adamovic) Baden

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2pb-yqc-tmz
title: Calamintha grandiflora (L.) Moench

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/all-8vt-ne2
title: Centaurea nervosa subsp. nervosa

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e1c-xwz-dx7
title: Sonchus asper subsp. asper

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ye4-cbl-1ty
title: Calamintha grandiflora (L.) Moench

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8q6-bx8-xjb
title: Calamintha grandiflora (L.) Moench

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y6w-c5j-57x
title: Calamintha grandiflora (L.) Moench

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0fc-y4q-at2
title: Origanum vulgare subsp. vulgare

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/50v-a2x-efv
title: Achillea clusiana Tausch

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vwd-97f-hxn
title: Teucrium capitatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.15851990
title: Deformation data  in Tianjin, China

description: The data are sourced from the article:"A method for retrieving three-dimensional deformation in groundwater pumping areas based on ascending and descending InSAR data",including:



Leveling vertical motion rates

GNSS 3D displacement rates

GNSS time series

January 2018 groundwater level data (third confined aquifer)
DOI: 10.3535/f7x-2qg-007
title: Teucrium capitatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mqd-g1w-qj8
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kbm-bfg-rfm
title: Teucrium montanum subsp. montanum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v7x-hec-v5k
title: Teucrium capitatum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ab3-92s-1t8
title: Teucrium montanum subsp. montanum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lb7-p47-rnx
title: Taraxacum Weber

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sf4-n7h-cyk
title: Prunella grandiflora (L.) Turra

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lvz-ekg-aeg
title: Prunella grandiflora (L.) Turra

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zh1-m14-3jm
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9b1-ch3-yxt
title: Clinopodium vulgare subsp. orientale Bothmer

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yzy-p21-nag
title: Tanacetum parthenium (L.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jn9-0fm-jzh
title: Centaurea deustiformis Adamovic

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bal-c33-9yd
title: Tanacetum parthenium (L.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qh5-wqr-czk
title: Centaurea cyanus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/78r-8hl-lmx
title: Taraxacum Weber

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7qx-jt2-sd5
title: Taraxacum haussknechtii Uechtr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dr1-mez-bry
title: Erigeron annuus (L.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kbn-xbc-nbr
title: Centaurea triumfettii All.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j8s-6p7-k9x
title: Rumex acetosella L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/105-gal-x71
title: Erigeron annuus (L.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/j2t-a3j-801
title: Artemisia absinthium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/41k-0hz-mzq
title: Artemisia vulgaris L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1td-8vm-m9m
title: Taraxacum Weber

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mew-rpe-yd0
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d12-hdd-nv3
title: Campanula sparsa subsp. sphaerothrix (Griseb.) Hayek

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mgl-n6e-en5
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15156/bio/sh0172276.10fu
title: SH0172276.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172277.10fu
title: SH0172277.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172278.10fu
title: SH0172278.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172279.10fu
title: SH0172279.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172280.10fu
title: SH0172280.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172281.10fu
title: SH0172281.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172282.10fu
title: SH0172282.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0172283.10fu
title: SH0172283.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31037065
title: Anonymized dataset on menstrual irregularities and academic stress among female medical and non-medical students

description: <br>This dataset accompanies a comparative cross-sectional study investigating the impact of examination stress on the menstrual cycle among female students in Pakistan. The study included 265 participants, equally divided between medical students at Aziz Fatima Medical and Dental College and non-medical students from Government College University Faisalabad and The University of Faisalabad.The dataset includes <b>demographic information</b>, <b>menstrual patterns</b>, <b>prevalence of dysmenorrhea, amenorrhea, oligomenorrhea, and changes in bleeding</b>, <b>premenstrual symptoms</b>, <b>medication usage</b>, and <b>class attendance during examinations</b>. The aim of the dataset is to allow secondary analysis of associations between academic stress and menstrual health, as well as to provide transparency and reproducibility of the published study results.<b>Key variables include:</b>Participant demographics: age group, academic year, marital statusMenstrual patterns: regularity, dysmenorrhea, amenorrhea, oligomenorrhea, changes in bleedingPremenstrual symptoms and medication useClass attendance during examination periodsStudent type: medical vs non-medical<b>Methodology:</b><br>Data were collected using an online close-ended questionnaire and analyzed using Chi-square tests to examine associations between menstrual irregularities and academic stress. All data are fully anonymized and coded to ensure participant confidentiality.<b>Ethical considerations:</b><br>All participants provided informed consent, and no personally identifiable information is included in the dataset. Data sharing complies with the ethical approval provided by the respective institutional review boards.<b>Usage notes:</b>Researchers may use this dataset for further analysis of academic stress and menstrual health.Users should cite the original study and the dataset DOI when using the data.<br>