cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.anunbt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gaillardia pulchella",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068328-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x6w46276z7.2
title: Spectral Modeling to Identify and Classify Charcoal Produced from Amazonian Wood Wastes

description: Spectral (obtained on the rolling surface) and qualitative (apparent relative density, moisture content, volatile matter, ash, and fixed carbon) data of charcoal from tropical wood wastes. In addition, wood basic density is described. The spectral signatures associated with multivariate models are able to accurately identify the charcoal origin.
DOI: 10.3535/gn5-hqx-y2y
title: Athyrium filix-femina (L.) Roth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sew-ysm-xvl
title: Casearia oblongifolia Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g5y-wn1-ggv
title: Bryonia verrucosa Dryand. ex Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eev-86q-2pa
title: Goupia glabra Aubl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kr5-zjh-xk8
title: Alyssum alpestre L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b8m-yb8-gnb
title: Vitex compressa Turcz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yv6-ksj-pkt
title: Michauxia stenophylla Boiss. & Hausskn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/s398ztrk85
title: Monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano – São Paulo: proposição de diretrizes in-tra e intersetoriais.

description: A natureza deste projeto é Política em execução (PEX), financiado pela FAPESP sob número 2023/09191-5, ciência rápida de monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano - São Paulo. O Consultó-rio na Rua é uma estratégia da Atenção Básica em benefício da vida que surgiu no Brasil na década de 1990, como uma resposta às demandas de saúde da população em situação de rua. Como estratégia da Política Nacional de Atenção Básica (PNAB), a equipe de Consultório na Rua (eCR) busca levar os serviços de saúde à essa população vulnerável, que muitas vezes enfrentam dificuldades de acesso aos serviços de saúde convencionais1,2. Objetivos: Identificar se a modalidade atual está adequada às ca-racterísticas da população a ser atendida; Fazer um levantamento das necessidades na respectiva popu-lação e também dos trabalhadores de saúde envolvidos no eCR, de Saúde Bucal e do Núcleos de Apoio à Saúde da Família (NASF) do território e serviços de referência onde essas pessoas estão concentradas; Analisar a produção de cuidados primários à saúde da população em situação de rua, prestados pela equipe do Consultório na Rua (eCR) de Suzano; Identificar potencialidades e dificulda-des, caracterizando arranjos e ações de coordenação do cuidado desenvolvidos, com o intuito de apre-sentar o panorama de análise sobre o processo de trabalho nos modelos de organização do acesso; descrever as atividades realizadas pelos profissionais, a satisfação dos usuários, o equilíbrio ou dese-quilíbrio da oferta e da demanda, rompendo barreiras do acolhimento e ampliando o alcance dos servi-ços de saúde.
DOI: 10.3535/0xp-mbk-bvr
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/76j-xgz-2st
title: Casearia oblongifolia Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/s398ztrk85.2
title: Monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano – São Paulo: proposição de diretrizes in-tra e intersetoriais.

description: A natureza deste projeto é Política em execução (PEX), financiado pela FAPESP sob número 2023/09191-5, ciência rápida de monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano - São Paulo. O Consultó-rio na Rua é uma estratégia da Atenção Básica em benefício da vida que surgiu no Brasil na década de 1990, como uma resposta às demandas de saúde da população em situação de rua. Como estratégia da Política Nacional de Atenção Básica (PNAB), a equipe de Consultório na Rua (eCR) busca levar os serviços de saúde à essa população vulnerável, que muitas vezes enfrentam dificuldades de acesso aos serviços de saúde convencionais1,2. Objetivos: Identificar se a modalidade atual está adequada às ca-racterísticas da população a ser atendida; Fazer um levantamento das necessidades na respectiva popu-lação e também dos trabalhadores de saúde envolvidos no eCR, de Saúde Bucal e do Núcleos de Apoio à Saúde da Família (NASF) do território e serviços de referência onde essas pessoas estão concentradas; Analisar a produção de cuidados primários à saúde da população em situação de rua, prestados pela equipe do Consultório na Rua (eCR) de Suzano; Identificar potencialidades e dificulda-des, caracterizando arranjos e ações de coordenação do cuidado desenvolvidos, com o intuito de apre-sentar o panorama de análise sobre o processo de trabalho nos modelos de organização do acesso; descrever as atividades realizadas pelos profissionais, a satisfação dos usuários, o equilíbrio ou dese-quilíbrio da oferta e da demanda, rompendo barreiras do acolhimento e ampliando o alcance dos servi-ços de saúde.
DOI: 10.3535/rgn-xk7-3bk
title: Clusia criuva Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cb9-a7k-vqa
title: Paliavana tenuiflora Mansf.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/txz-000-w4f
title: Clusia criuva Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6dg-bx8-6ak
title: Gesneriaceae Rich. & Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hvr-v2c-cw3
title: Noccaea cypria (Bornm.) F. K. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5dy-xdp-m2w
title: Casearia pauciflora Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jcv-hkl-1e2
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dnc-d54-ddf
title: Casearia arborea subsp. arborea

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e4f-ec1-4qx
title: Sinningia speciosa (G. Lodd. ex Ker Gawl.) Hiern

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3mp-5cm-jqm
title: Sinningia speciosa (G. Lodd. ex Ker Gawl.) Hiern

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yet-v2a-9c0
title: Reseda phyteuma L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/57e-6ha-v8z
title: Sinningia speciosa (G. Lodd. ex Ker Gawl.) Hiern

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kqp-bss-anc
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/20a-m2z-ayg
title: Sinningia speciosa (G. Lodd. ex Ker Gawl.) Hiern

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/frn-0rd-s39
title: Sinningia bulbosa (Ker Gawl.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xmn-jtj-fqt
title: Irlbachia Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2xh-nxg-q6d
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qmh-nhm-9vl
title: Calolisianthus speciosus (Cham. & Schltdl.) Gilg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.trh83w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mormyrops mariae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068330-250717081556266/datasets/export for details.
DOI: 10.3535/v6h-hrs-whr
title: Sinningia Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/tpzk9yjm3d.2
title: Magnetic Orbitals – The First Visual Revelation of Quantum Geometries in the Macroscopic World

description: Have the shapes of atomic orbitals ever been observed in the real world? 
This research presents the first experimental three-dimensional visualization of atomic orbital geometries.

By employing a bipolar Hall sensor in dynamic mode at a constant angle, magnetic field configurations were detected that are consistent—down to the finest detail—with the solutions of the Schrödinger equation for the hydrogen atom.

The results suggest a structural connection between the probabilistic concepts of quantum mechanics and observable macroscopic phenomena, proposing a new paradigm for unifying classical and quantum physics.

The entire work also provides a replicable guide for generating magnetic orbitals, thus offering a precise method for the potential control of matter at the subatomic level, through the construction of a "Magnetic Map of Matter"—usable here, in our world.
DOI: 10.3535/bch-m2s-zmp
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gf3-53m-gan
title: Sinningia allagophylla (Mart.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hsf-tsl-27y
title: Nanobubon strictum (Spreng. ex Schult.) Magee

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kgz-wb0-z0n
title: Sinningia allagophylla (Mart.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7mm-zr6-d8e
title: Sinningia bulbosa (Ker Gawl.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bc8-39c-3yv
title: Sinningia bulbosa (Ker Gawl.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/vfsfbn9mwr
title: ASSESSMENT OF PROFESSIONAL ETHICS IN NURSING EDUCATION: A COMPARISON OF NPVS-3 USE AMONG NURSING STUDENTS FROM BRAZIL AND ALBANIA

description: This data about descriptive-comparative study was conducted at three universities in each country between November 2021 and February 2022. Data were collected through the Nurses Professional Values Scale-Three (NPVS-3) via electronic survey, including 337 Brazilian and 347 Albanian nursing students.
DOI: 10.3535/94s-sfb-qdx
title: Potentilla caulescens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/vfsfbn9mwr.2
title: ASSESSMENT OF PROFESSIONAL ETHICS IN NURSING EDUCATION: A COMPARISON OF NPVS-3 USE AMONG NURSING STUDENTS FROM BRAZIL AND ALBANIA

description: This data about descriptive-comparative study was conducted at three universities in each country between November 2021 and February 2022. Data were collected through the Nurses Professional Values Scale-Three (NPVS-3) via electronic survey, including 337 Brazilian and 347 Albanian nursing students.
DOI: 10.3535/ecv-t9c-8tb
title: Erica bruniades L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svd-q4x-w4s
title: Geranium palmatum Cav.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6pj-zzz-har
title: Clusia criuva Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zrv-ncn-mac
title: Hieracium apricorum subsp. apricorum

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/23k-kkk-3qj
title: Vitex compressa Turcz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c6q-zcq-d9d
title: Sinningia bulbosa (Ker Gawl.) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rdk-gml-ns4
title: Abatia americana (Gardner) Eichler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3tj-rlw-3zd
title: Abatia americana (Gardner) Eichler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nt6-nsl-86d
title: Vitex megapotamica (Spreng.) Moldenke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/092-h47-l07
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6vd-hvc-fx2
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ar1-9vv-j1c
title: Sinningia helleri Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/8vjbzzsx4v
title: Smart Nutrient Decisions: DRIS–GIS Integration for Precision Oil Palm Plantation Management

description: This dataset comprises the results of leaf nutrient analysis and DRIS (Diagnosis and Recommendation Integrated System) index calculations from 3,700 georeferenced sampling points across oil palm plantations in North Sumatra, Indonesia. It provides a comprehensive view of the plant nutrient status based on five key macronutrients: nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg). The nutrient concentrations, derived from standardized laboratory analyses, are expressed as percentages of dry leaf tissue.

Beyond individual nutrient values, the dataset integrates the DRIS approach, which evaluates the balance among nutrients rather than absolute levels. For each sample, actual nutrient ratios (e.g., N/P, N/K, N/Ca, N/Mg) are calculated and compared against standard ratios derived from high-yielding reference populations. These standard ratios are included in the dataset and serve as benchmarks for assessing nutritional balance. Based on the deviation from these standards, each nutrient pair is classified as "Below Optimum," "Optimum," or "Above Optimum," allowing practitioners to quickly identify relative deficiencies or excesses.

Key outputs of the DRIS methodology are the nutrient indices (Index_N, Index_P, etc.), which quantify the extent to which each nutrient limits or exceeds optimal balance. A positive DRIS index indicates a relative excess, while a negative index points to a deficiency. These indices provide a hierarchy of nutrient limitations for each sample and are more informative than conventional threshold-based interpretations, which can overlook hidden deficiencies caused by nutrient interactions.

Supporting parameters such as the standard deviations of each nutrient ratio are also provided, ensuring that DRIS calculations are normalized and statistically meaningful. This structure allows for nuanced interpretations of nutrient imbalances across varying plantation conditions.

This dataset is valuable for plantation managers, agronomists, and researchers focused on precision agriculture. It enables site-specific fertilizer recommendations, early diagnosis of nutrient limitations, and long-term monitoring of soil-plant nutrient dynamics. Furthermore, it lays the groundwork for spatial modeling, decision support systems, and integration with remote sensing or AI-based tools to enhance nutrient use efficiency and productivity in oil palm cultivation.
DOI: 10.3535/k48-zwv-g97
title: Casearia rufescens Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w7z-lgc-esv
title: Bonnetia stricta (Nees) Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4g5-7sy-adb
title: Clusia criuva Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j1w-snq-b0r
title: Sinningia lindleyi Schauer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/8vjbzzsx4v.2
title: Smart Nutrient Decisions: DRIS–GIS Integration for Precision Oil Palm Plantation Management

description: This dataset comprises the results of leaf nutrient analysis and DRIS (Diagnosis and Recommendation Integrated System) index calculations from 3,700 georeferenced sampling points across oil palm plantations in North Sumatra, Indonesia. It provides a comprehensive view of the plant nutrient status based on five key macronutrients: nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg). The nutrient concentrations, derived from standardized laboratory analyses, are expressed as percentages of dry leaf tissue.

Beyond individual nutrient values, the dataset integrates the DRIS approach, which evaluates the balance among nutrients rather than absolute levels. For each sample, actual nutrient ratios (e.g., N/P, N/K, N/Ca, N/Mg) are calculated and compared against standard ratios derived from high-yielding reference populations. These standard ratios are included in the dataset and serve as benchmarks for assessing nutritional balance. Based on the deviation from these standards, each nutrient pair is classified as "Below Optimum," "Optimum," or "Above Optimum," allowing practitioners to quickly identify relative deficiencies or excesses.

Key outputs of the DRIS methodology are the nutrient indices (Index_N, Index_P, etc.), which quantify the extent to which each nutrient limits or exceeds optimal balance. A positive DRIS index indicates a relative excess, while a negative index points to a deficiency. These indices provide a hierarchy of nutrient limitations for each sample and are more informative than conventional threshold-based interpretations, which can overlook hidden deficiencies caused by nutrient interactions.

Supporting parameters such as the standard deviations of each nutrient ratio are also provided, ensuring that DRIS calculations are normalized and statistically meaningful. This structure allows for nuanced interpretations of nutrient imbalances across varying plantation conditions.

This dataset is valuable for plantation managers, agronomists, and researchers focused on precision agriculture. It enables site-specific fertilizer recommendations, early diagnosis of nutrient limitations, and long-term monitoring of soil-plant nutrient dynamics. Furthermore, it lays the groundwork for spatial modeling, decision support systems, and integration with remote sensing or AI-based tools to enhance nutrient use efficiency and productivity in oil palm cultivation.
DOI: 10.3535/aa8-gw6-y33
title: Nematanthus crassifolius (Schott) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rw0-lbh-xl8
title: Sinningia elatior (Kunth) Chautems

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/006-6p2-ezq
title: Vitex lanigera Schauer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vx1-twg-m6w
title: Vitex megapotamica (Spreng.) Moldenke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8t9-arx-zhx
title: Casearia rufescens Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p86-1s1-cqe
title: Caraipa densifolia Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b7j-n9v-rzj
title: Casearia rufescens Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hec-n9p-4cr
title: Sinningia elatior (Kunth) Chautems

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/x3328p22th.2
title: Experiment 2 - Visual Attention Patterns

description: The dataset captures data from an experiment that utilises the Tobii suite of applications in conjunction with the Tobii Eye Tracker 5 to capture and analyse gaze behaviour. By incorporating eye-tracking data, it enhances the study’s ability to assess user engagement, decision-making processes, and cognitive load in response to different explainability models.
DOI: 10.3535/12a-4ve-a36
title: Deianira cyathifolia Barb. Rodr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tae-2dj-629
title: Deianira erubescens Cham. & Schltdl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4qw-h5n-6gt
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jw9-cld-j0k
title: Piparea dentata Aubl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rrv-qjr-w7h
title: Vitex compressa Turcz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9ym-5qb-qja
title: Piparea dentata Aubl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s14-ymt-4yh
title: Vitex compressa Turcz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dff-ff6-jvn
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hbg-wkt-a9y
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/249-35t-k1b
title: Casearia rufescens Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hnb-ttv-0gv
title: Calolisianthus speciosus (Cham. & Schltdl.) Gilg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/br8-w0d-097
title: Alyssum dasycarpum Stephan ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/evc-73x-wk8
title: Casearia sylvestris Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z1c-0fq-vqq
title: Banara serrata (Vell.) Warb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/wnthscd94z.2
title: Experiment 1 - Interpretive Assessment

description: The data from the survey were collected using Microsoft Forms, leveraging Material UI to ensure a clean and professional design with pre-built components for streamlined development. Explainability outputs were primarily presented through Python-generated graphs and charts. These visualisations are tailored from the selected models in the Captum library, which offers customisation on its generic output.