cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/le9-aet-76c
title: Anser brachyrhynchus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/lm3-gnt-6dh
title: Melanocharis nigra

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.57783/tcgw-vc43
title: LibreChat-TEST
DOI: 10.3535/cck-sk1-k9k
title: Anser albifrons flavirostris

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/qcl-mrt-8ka
title: Anser anser anser

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/8kn-yme-6xe
title: Theristicus melanopis branickii

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/n0z-1h5-5aa
title: Melanocharis striativentris

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/3fa-tty-rrb
title: Phalacrocorax aristotelis aristotelis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/b59-d6y-sb8
title: Rissa tridactyla tridactyla

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/kna-c7g-01n
title: Pelecanus crispus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.6084/m9.figshare.30349982
title: Lesson planning with ChatGPT for inquiry-based biology instruction – A(I) roll of the dice?

description: This study investigates the capability of ChatGPT-4o to generate high-quality inquiry-based science lesson plans, that is, aligning all elements of a written lesson plan to students’ learning about procedural and epistemic aspects of science instead of gaining subject matter knowledge. Using an exploratory sequential mixed methods design, we analysed <i>N</i> = 60 biology lesson plans generated by the research team across four key topics (cell biology, genetics/evolution, human biology, ecology) and five scientific inquiry practices (microscopy, observing, experimenting, modelling, reflecting the nature of science) from the German curriculum . First, lesson plans were quantitatively evaluated using a modified version of Großmann and Krügers’ [(2024). Assessing the quality of science teachers' lesson plans: Evaluation and application of a novel instrument. <i>Science Education, 108</i>(1), 153–189. https://doi.org/10.1002/sce.v108.1] scoring rubric, which assessed ten quality criteria with substantial interrater agreement (Cohen's <i>κ</i> = .67). Second, based on the score distribution, we conducted qualitative analyses to identify strengths and weaknesses in ChatGPT-generated inquiry-based lesson plans. Results revealed considerable variation in lesson plan quality, with <i>n</i> = 22 lesson plans achieving less than 50% of the maximum possible score and only <i>n</i> = 5 lesson plans reaching 75% or higher. While the lesson plans demonstrated particular strengths in content accuracy and learning outcome alignment, they exhibited significant weaknesses in addressing students’ inquiry-related conceptions and maintaining consistent focus on scientific inquiry. While ChatGPT-4o successfully generated some high-quality lessons plans for inquiry-based instruction, many lesson plans shifted inappropriately towards subject matter knowledge acquisition rather than scientific inquiry processes. This discrepancy between our initial prompts and the resulting lesson plans indicates that while large language models like ChatGPT-4o demonstrate potential as preliminary planning tools, they necessitate thorough evaluation and substantive modification by teachers possessing robust pedagogical content knowledge. The findings emphasise that the advent of generative artificial intelligence does not diminish the importance of professional knowledge in teacher education but rather transforms how this knowledge is applied in lesson planning processes.
DOI: 10.6084/m9.figshare.30349982.v1
title: Lesson planning with ChatGPT for inquiry-based biology instruction – A(I) roll of the dice?

description: This study investigates the capability of ChatGPT-4o to generate high-quality inquiry-based science lesson plans, that is, aligning all elements of a written lesson plan to students’ learning about procedural and epistemic aspects of science instead of gaining subject matter knowledge. Using an exploratory sequential mixed methods design, we analysed <i>N</i> = 60 biology lesson plans generated by the research team across four key topics (cell biology, genetics/evolution, human biology, ecology) and five scientific inquiry practices (microscopy, observing, experimenting, modelling, reflecting the nature of science) from the German curriculum . First, lesson plans were quantitatively evaluated using a modified version of Großmann and Krügers’ [(2024). Assessing the quality of science teachers' lesson plans: Evaluation and application of a novel instrument. <i>Science Education, 108</i>(1), 153–189. https://doi.org/10.1002/sce.v108.1] scoring rubric, which assessed ten quality criteria with substantial interrater agreement (Cohen's <i>κ</i> = .67). Second, based on the score distribution, we conducted qualitative analyses to identify strengths and weaknesses in ChatGPT-generated inquiry-based lesson plans. Results revealed considerable variation in lesson plan quality, with <i>n</i> = 22 lesson plans achieving less than 50% of the maximum possible score and only <i>n</i> = 5 lesson plans reaching 75% or higher. While the lesson plans demonstrated particular strengths in content accuracy and learning outcome alignment, they exhibited significant weaknesses in addressing students’ inquiry-related conceptions and maintaining consistent focus on scientific inquiry. While ChatGPT-4o successfully generated some high-quality lessons plans for inquiry-based instruction, many lesson plans shifted inappropriately towards subject matter knowledge acquisition rather than scientific inquiry processes. This discrepancy between our initial prompts and the resulting lesson plans indicates that while large language models like ChatGPT-4o demonstrate potential as preliminary planning tools, they necessitate thorough evaluation and substantive modification by teachers possessing robust pedagogical content knowledge. The findings emphasise that the advent of generative artificial intelligence does not diminish the importance of professional knowledge in teacher education but rather transforms how this knowledge is applied in lesson planning processes.
DOI: 10.3535/3vg-1ha-gw7
title: Pitohui dichrous

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/fz7-jp1-21f
title: Anser fabalis fabalis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/wks-ysy-svp
title: Phalacrocorax carbo novaehollandiae

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/bvd-63w-mp2
title: Sula leucogaster

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/g41-bzl-xkr
title: Phalacrocorax carbo carbo

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/l1k-wsj-6da
title: Aleadryas rufinucha

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/4z5-r4t-b1y
title: Ardea purpurea purpurea

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/f9k-1se-5z4
title: Ardea cinerea cinerea

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.6084/m9.figshare.30370613
title: Nomogram for predicting acute kidney injury after primary PCI in STEMI patients: development and validation study

description: To identify the risk factors for acute kidney injury (AKI) after primary percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI) and to develop and evaluate a nomogram predictive model. A retrospective analysis was performed on STEMI patients who underwent primary PCI in our hospital between January 1, 2020, and December 31, 2024. Patients were divided into AKI and non-AKI groups. Univariate and multivariate logistic regression analyses were used to identify the independent risk factors for post-PCI AKI. Based on these factors, a nomogram model was constructed and its predictive accuracy, calibration, and clinical utility were assessed using receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis (DCA). A total of 227 STEMI patients were enrolled, of whom 41 (18.1%) developed AKI after PCI. NSAIDs use, female sex, blood glucose, serum creatinine, and serum uric acid emerged as independent risk factors. The ROC analysis showed that the nomogram model (AUC: 0.793) had superior predictive performance compared to the Mehran score (AUC: 0.626). Calibration plots showed strong alignment between predicted and observed outcomes, while DCA indicated a substantial net benefit. Moreover, patients in the high-risk group had significantly longer lengths of stays than those in the low- and moderate-risk groups. The nomogram model exhibits robust predictive accuracy and clinical utility, providing valuable support for the early identification of high-risk STEMI patients for AKI after primary PCI and facilitating the implementation of stratified preventive strategies.
DOI: 10.6084/m9.figshare.30370613.v1
title: Nomogram for predicting acute kidney injury after primary PCI in STEMI patients: development and validation study

description: To identify the risk factors for acute kidney injury (AKI) after primary percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI) and to develop and evaluate a nomogram predictive model. A retrospective analysis was performed on STEMI patients who underwent primary PCI in our hospital between January 1, 2020, and December 31, 2024. Patients were divided into AKI and non-AKI groups. Univariate and multivariate logistic regression analyses were used to identify the independent risk factors for post-PCI AKI. Based on these factors, a nomogram model was constructed and its predictive accuracy, calibration, and clinical utility were assessed using receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis (DCA). A total of 227 STEMI patients were enrolled, of whom 41 (18.1%) developed AKI after PCI. NSAIDs use, female sex, blood glucose, serum creatinine, and serum uric acid emerged as independent risk factors. The ROC analysis showed that the nomogram model (AUC: 0.793) had superior predictive performance compared to the Mehran score (AUC: 0.626). Calibration plots showed strong alignment between predicted and observed outcomes, while DCA indicated a substantial net benefit. Moreover, patients in the high-risk group had significantly longer lengths of stays than those in the low- and moderate-risk groups. The nomogram model exhibits robust predictive accuracy and clinical utility, providing valuable support for the early identification of high-risk STEMI patients for AKI after primary PCI and facilitating the implementation of stratified preventive strategies.
DOI: 10.3535/7s2-ggq-psd
title: Sericornis nouhuysi

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/m9n-e70-xbz
title: Phalacrocorax aristotelis aristotelis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/mzr-ya7-7sb
title: Botaurus stellaris stellaris

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/pve-ysb-zk2
title: Uria lomvia lomvia

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/xcb-1yp-0p6
title: Turdus iliacus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/7ee-d0e-da0
title: Anser fabalis fabalis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/k29-k9b-3b1
title: Threskiornis aethiopicus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/x0h-c4j-2ck
title: Geronticus eremita

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/86k-djw-5k5
title: Phalacrocorax carbo sinensis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/y6g-va6-p1y
title: Alle alle alle

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/hf4-5tj-0k1
title: Microcarbo africanus africanus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/kzt-hyz-wf0
title: Rissa tridactyla tridactyla

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.6084/m9.figshare.30370615
title: Causal effects of gut microbiota on diabetic kidney disease: insights from 16S rRNA sequencing and bidirectional Mendelian randomization

description: Dysbiosis of the gut microbiome plays a critical role in diabetic kidney disease (DKD) development and progression. We stratified 46 type 2 DKD patients from Ruijin Hospital into early or advanced DKD groups in this cross-sectional study. Fecal samples underwent 16S rRNA sequencing. Statistical analyses (t-tests, Chi-square, GLMs) and MR were performed using SPSS and R. We found that advanced DKD patients exhibited distinct gut microbiota profiles, with LEfSe analysis showing higher <i>Butyricimonas</i>, <i>Fusicatenibacter</i>, and <i>Barnesiella</i> and lower <i>Allisonella</i> compared to early DKD, while DKD-susceptible individuals had elevated <i>Fusobacterium</i> and reduced <i>Allisonella</i> and <i>Eubacterium</i>. GLMs linked <i>Barnesiella</i>, <i>Streptococcus</i>, <i>Fusobacterium</i> to DKD susceptibility (<i>p</i> &lt; 0.05), and <i>Slackia</i> and <i>Eubacterium</i> to early/resistant DKD. MR analysis demonstrated causality: <i>Barnesiella</i> (OR: 2.382), <i>Butyricimonas</i> (OR: 1.278), <i>Desulfovibrio</i> (OR: 2.518), and <i>Hemophilus</i> (OR: 1.622) worsened DKD, whereas <i>Slackia</i> and <i>Allisonella</i> protected against eGFR decline (<i>p</i> &lt; 0.05). Reverse MR revealed the bidirectional effects—severe DKD increased <i>Ruminococcus</i>2 but suppressed <i>Allisonella</i> and <i>Akkermansia</i> (<i>p</i> &lt; 0.05), underscoring microbiota-DKD interplay. Sensitivity analyses (MR-Egger, weighted median, leave-one-out) confirmed the robustness and directionality of these causal effects. In conclusion, 10 key bacterial genera were causally linked to DKD progression and susceptibility, including harmful (<i>Barnesiella</i>, <i>Butyricimonas</i>, <i>Desulfovibrio</i>, <i>Hemophilus</i>, <i>Bacteroides</i>, <i>Streptococcus</i>, <i>Ruminococcus</i>2) and protective taxa (<i>Slackia</i>, <i>Allisonella</i>, <i>Akkermansia</i>). These genera serve as novel biomarkers for early detection and risk stratification, and as potential therapeutic targets for microbiota-modulating interventions to mitigate DKD progression. The bidirectional microbiota-DKD interplay further underscores the promise of targeting gut dysbiosis in DKD precision management.
DOI: 10.3535/1ft-v3j-2hq
title: Rissa tridactyla tridactyla

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/l5m-jdm-5jx
title: Phalacrocorax aristotelis aristotelis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/pcq-qax-xhw
title: Anser anser anser

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/f7h-3af-3ke
title: Alle alle alle

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/jqg-z4k-las
title: Alle alle alle

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/n7v-0aw-38f
title: Peneothello sigillata

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.6084/m9.figshare.30370615.v1
title: Causal effects of gut microbiota on diabetic kidney disease: insights from 16S rRNA sequencing and bidirectional Mendelian randomization

description: Dysbiosis of the gut microbiome plays a critical role in diabetic kidney disease (DKD) development and progression. We stratified 46 type 2 DKD patients from Ruijin Hospital into early or advanced DKD groups in this cross-sectional study. Fecal samples underwent 16S rRNA sequencing. Statistical analyses (t-tests, Chi-square, GLMs) and MR were performed using SPSS and R. We found that advanced DKD patients exhibited distinct gut microbiota profiles, with LEfSe analysis showing higher <i>Butyricimonas</i>, <i>Fusicatenibacter</i>, and <i>Barnesiella</i> and lower <i>Allisonella</i> compared to early DKD, while DKD-susceptible individuals had elevated <i>Fusobacterium</i> and reduced <i>Allisonella</i> and <i>Eubacterium</i>. GLMs linked <i>Barnesiella</i>, <i>Streptococcus</i>, <i>Fusobacterium</i> to DKD susceptibility (<i>p</i> &lt; 0.05), and <i>Slackia</i> and <i>Eubacterium</i> to early/resistant DKD. MR analysis demonstrated causality: <i>Barnesiella</i> (OR: 2.382), <i>Butyricimonas</i> (OR: 1.278), <i>Desulfovibrio</i> (OR: 2.518), and <i>Hemophilus</i> (OR: 1.622) worsened DKD, whereas <i>Slackia</i> and <i>Allisonella</i> protected against eGFR decline (<i>p</i> &lt; 0.05). Reverse MR revealed the bidirectional effects—severe DKD increased <i>Ruminococcus</i>2 but suppressed <i>Allisonella</i> and <i>Akkermansia</i> (<i>p</i> &lt; 0.05), underscoring microbiota-DKD interplay. Sensitivity analyses (MR-Egger, weighted median, leave-one-out) confirmed the robustness and directionality of these causal effects. In conclusion, 10 key bacterial genera were causally linked to DKD progression and susceptibility, including harmful (<i>Barnesiella</i>, <i>Butyricimonas</i>, <i>Desulfovibrio</i>, <i>Hemophilus</i>, <i>Bacteroides</i>, <i>Streptococcus</i>, <i>Ruminococcus</i>2) and protective taxa (<i>Slackia</i>, <i>Allisonella</i>, <i>Akkermansia</i>). These genera serve as novel biomarkers for early detection and risk stratification, and as potential therapeutic targets for microbiota-modulating interventions to mitigate DKD progression. The bidirectional microbiota-DKD interplay further underscores the promise of targeting gut dysbiosis in DKD precision management.
DOI: 10.3535/b1y-0yr-ekp
title: Cygnus columbianus bewickii

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/c9r-y8s-383
title: Toxorhamphus novaeguineae

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/0jn-40g-rkc
title: Branta bernicla bernicla

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/bl2-apx-lme
title: Anser caerulescens atlanticus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/cdz-h2g-l4g
title: Pterodroma solandri

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/bab-hdc-z85
title: Anser albifrons flavirostris

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/cy7-qv2-de3
title: Puffinus bailloni polynesiae

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/8py-wmm-xp4
title: Sula sula rubripes

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/j47-lzc-nkc
title: Phalacrocorax carbo carbo

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/rj8-fbe-ft0
title: Butorides striata rutenbergi

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/54b-98s-z1z
title: Anser indicus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/n0x-jr8-xr0
title: Sericornis nouhuysi

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/v4j-1l2-xr3
title: Anser rossii

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/ak8-n7v-1hn
title: Hydrobates pelagicus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/ljy-mfj-9se
title: Anser albifrons flavirostris

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/3j9-w72-nt4
title: Anser anser anser

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/b4t-jjc-rje
title: Phalacrocorax carbo carbo

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/k62-ah3-3m2
title: Phaethon lepturus dorotheae

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/ghj-sdm-ca0
title: Eugerygone rubra

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/myz-a9l-qhg
title: Uria lomvia lomvia

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/xqf-dn3-wx3
title: Hydrobates leucorhous leucorhous

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.3fvduh
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setophaga magnolia",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026963-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6n9-1hd-90h
title: Alle alle alle

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/ye1-vdr-n3g
title: Meliphaga analoga

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/qw2-qdy-wf9
title: Phalacrocorax aristotelis aristotelis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/rbk-1zb-c72
title: Uria lomvia lomvia

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/wfh-t3x-5eb
title: Plegadis falcinellus

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/0yb-nrj-7jr
title: Anser fabalis fabalis

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/wrt-qtf-wrh
title: Elaenia albiceps albiceps

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.3535/bdl-cm5-r0g
title: Butorides striata striata

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.