cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xxwhg6
title: Occurrence Download

description: A dataset containing 13645 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((141.38241798465867 -37.66685699309263,141.3804168053867 -37.65135066803206,141.37465087160678 -37.63645243174865,141.36534371093063 -37.622734282663814,141.35285427476555 -37.61072261958222,141.33766295100014 -37.60087813161048,141.32035304008474 -37.593578232566784,141.30158841528956 -37.589102693999735,141.28208821370745 -37.58762300838971,141.26259949974946 -37.58919587416482,141.24386890654216 -37.59376104167102,141.22661429236484 -37.60114359918062,141.2114974489141 -37.61106061546093,141.19909886573768 -37.62313189543674,141.18989549074522 -37.63689445313646,141.1842423306774 -37.651820166418545,141.18235860871604 -37.667335955808475,141.18431904084252 -37.68284572976931,141.19005061112966 -37.697753265121165,141.19933502347837 -37.71148514775713,141.21181678972718 -37.723512888077,141.2270166897078 -37.733373349365664,141.24435011736318 -37.740686686006384,141.26314961923032 -37.745171080684926,141.282690748479 -37.74665369264505,141.30222020978707 -37.745077377943076,141.32098516656876 -37.74050291130673,141.3382625289846 -37.73310662018531,141.353387042144 -37.723173526642576,141.36577704890064 -37.71108627337643,141.37495690707144 -37.697310278141366,141.38057519015635 -37.68237570880849,141.38241798465867 -37.66685699309263)))"
 ]
}

 The dataset includes 13645 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009175-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxdn73
title: Occurrence Download

description: A dataset containing 19122 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((141.095706515946 -37.5244967774032,141.09301725632875 -37.50296816496506,141.08511074031696 -37.4822707048079,141.07229455867173 -37.46319879359305,141.0550637224286 -37.44648387367702,141.0340812663589 -37.43276654982741,141.0101526426749 -37.422572234858215,140.98419490649002 -37.41629122037261,140.9572018552071 -37.41416389934848,140.93020640366208 -37.41627167562511,140.90424155598137 -37.422533887819654,140.88030137445065 -37.43271085818583,140.85930334574329 -37.4464129567523,140.84205350562164 -37.463115354057734,140.82921560422108 -37.482177928259894,140.82128547452936 -37.50286960069145,140.8185716061998 -37.52439620443387,140.82118272582647 -37.54593084947434,140.8290229453626 -37.566645641552384,140.84179476701615 -37.58574354542761,140.85900993322562 -37.60248916164545,140.88000779500402 -37.616237212224995,140.90398055492366 -37.62645760646604,140.93000443859765 -37.632756082383985,140.95707557820015 -37.634889588607265,140.98414917049266 -37.632775779635715,141.01018031496432 -37.626496235295406,141.0341648561756 -37.61629327204341,141.05517855416136 -37.6025604770812,141.0724129878174 -37.585827353138406,141.08520675266706 -37.56673869988927,141.09307073518082 -37.546029566250816,141.095706515946 -37.5244967774032)))"
 ]
}

 The dataset includes 19122 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009174-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwgc7r
title: Occurrence Download

description: A dataset containing 1259 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((116.15552840966046 -33.78022671853284,116.15434825717689 -33.76930273123598,116.15063952805946 -33.758780835814925,116.14454556826608 -33.74906517978902,116.13630112923205 -33.740528812041156,116.12622326127929 -33.73349939525983,116.11469909645636 -33.72824667254305,116.102170995153 -33.72497216095644,116.08911962355337 -33.72380145912623,116.07604560052589 -33.72477945670157,116.06345040132088 -33.727868624361676,116.05181723049141 -33.73295044781723,116.04159257731463 -33.73982995192411,116.03316914368624 -33.74824314558974,116.02687078746165 -33.757867108555885,116.02294005449332 -33.76833234120402,116.02152878170784 -33.77923691184556,116.02269214369977 -33.79016186580466,116.02638638948046 -33.80068730981516,116.032470378045 -33.810408556119675,116.04071087599011 -33.818951704768644,116.0507914329968 -33.82598806074411,116.06232450764077 -33.83124682451774,116.07486638309655 -33.83452555932532,116.08793429618723 -33.83569802359085,116.10102510974451 -33.83471905934915,116.11363479230383 -33.831626343088075,116.12527793434889 -33.82653892934177,116.1355065285782 -33.8196526443281,116.14392727311451 -33.811232511472454,116.15021671950049 -33.801602507460935,116.1541336783297 -33.791133051604,116.15552840966046 -33.78022671853284)))"
 ]
}

 The dataset includes 1259 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009176-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48apdv
title: Occurrence Download

description: A dataset containing 5103 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((119.28485024034353 -33.82901198896453,119.28132885771302 -33.8047094909145,119.27219953408714 -33.781446650398344,119.25781684622751 -33.76011610927634,119.23873580027842 -33.74153578981945,119.21569016206722 -33.72641773629021,119.18956418995438 -33.71534105216681,119.16135886502751 -33.70872992785354,119.1321538832324 -33.70683756131924,119.10306680058807 -33.70973655689969,119.07521080614984 -33.71731615240727,119.04965263819273 -33.72928637873323,119.0273721572144 -33.74518900644339,119.00922504436049 -33.764414887725124,118.99591000492184 -33.786227066841064,118.98794172275534 -33.80978881548311,118.98563063243397 -33.834195558627364,118.98907035243825 -33.8585094990645,118.99813335755157 -33.88179563175916,119.01247516734887 -33.90315776889558,119.03154699911032 -33.9217731780554,119.05461648999633 -33.9369244729032,119.08079575048176 -33.948027489235166,119.1090756868631 -33.95465402773931,119.13836524416698 -33.956548543716636,119.16753399030856 -33.953638105581845,119.19545630351652 -33.94603521758396,119.22105534902862 -33.934033394969816,119.24334504321993 -33.91809567748138,119.26146830252799 -33.89883655504832,119.27473005333687 -33.87699804403565,119.28262372455623 -33.853420881476474,119.28485024034353 -33.82901198896453)))"
 ]
}

 The dataset includes 5103 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009172-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcemy3
title: Occurrence Download

description: A dataset containing 15503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachnida"
 ]
}

 The dataset includes 15503 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009177-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3fgkv
title: Occurrence Download

description: A dataset containing 1137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bupleurum chinense DC."
 ]
}

 The dataset includes 1137 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009178-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/262ed770-3794-4ca2-a9f1-265593f72c77
title: Data underlying the publication: Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change

description: The data is collected in the experiment with the paper "Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change" by Pei-Yu Chen, Dirk Heylen, Catholijn Jonker, Birna van Riemsdijk, and Myrthe Tielman. This paper aims to explore the effects of different dialogue strategies on emotion and elicited information.<br>The dataset consists of 1) participants' responses in different strategy conditions ('guided_free.csv', 'guided_MC.csv', 'open.csv'), 2) regression models reported in the paper ('analysis script.R'), 3) the results of the inductive coding is in the file 'open-coded-combination.csv', 4) with which we use the script 'combination_analysis_new.py' to look for patterns in user's behavior explanations.<br>The README file details the data-specific information in the csv.
DOI: 10.4121/262ed770-3794-4ca2-a9f1-265593f72c77.v1
title: Data underlying the publication: Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change

description: The data is collected in the experiment with the paper "Why don’t you do what you said you would? Conversational strategies for agents supporting healthy lifestyle change" by Pei-Yu Chen, Dirk Heylen, Catholijn Jonker, Birna van Riemsdijk, and Myrthe Tielman. This paper aims to explore the effects of different dialogue strategies on emotion and elicited information.<br>The dataset consists of 1) participants' responses in different strategy conditions ('guided_free.csv', 'guided_MC.csv', 'open.csv'), 2) regression models reported in the paper ('analysis script.R'), 3) the results of the inductive coding is in the file 'open-coded-combination.csv', 4) with which we use the script 'combination_analysis_new.py' to look for patterns in user's behavior explanations.<br>The README file details the data-specific information in the csv.
DOI: 10.35097/0k5f6x56uxjsw7cw
title: Lifecycle of Pd Clusters: Following the Formation and Evolution of Active Pd Clusters on Ceria During CO Oxidation by In Situ/Operando Characterization Techniques - raw data

description: Raw data for ex situ and in situ/operando characterization, catalytic testing and DFT calculation results

In agreement with FAIR data principles, the XAS spectra of reference materials were additionally provided for upload in the RefXAS database. More information on RefXAS can be found in the work of Paripsa and Gaur et al. (DOI: 10.1107/S1600577524006751).

Additional Affiliation of Paolo Dolcet: 
Dipartimento di Scienze Chimiche 
Università degli Studi di Padova 
Via Francesco Marzolo 1
35131 Padova, Italy

Additional Affiliation of C. Kübel:
Institute of Materials Research
Technical University Darmstadt (TUDa)
Peter-Grünberg-Straße 2,
64287 Darmstadt, Germany

Affiliation of Mads Lützen:
National Centre for Nano Fabrication and Characterization (DTU Nanolab), 
Technical University of Denmark (DTU), 
Lyngby 2800Kgs, Denmark

Affiliation of Christian D. Damsgaard:
National Centre for Nano Fabrication and Characterization (DTU Nanolab) and
Department of Physics (DTU Physics),
Technical University of Denmark (DTU), 
Lyngby 2800Kgs, Denmark
DOI: 10.5281/zenodo.15259517
title: The Dynamics of Twistor-EBIKK-β Gravity: Entropic Drives and Topological Flows

description: We reveal the fundamental driving mechanism behind spacetime dynamics in Twistor-Entropic-Born-Infeld-Kaluza-Klein β-gravity. The model replaces classical geodesic motion with:

(1) entropic maximization governed by Tent ln det g terms,

(2) topological currents from CP1 twistornetworks, and

(3) emergent Einstein equations from information equilibrium.

Predictions include modified inertia at ∼ 0.1 eV scales and measurable corrections to gravitational wave propagation.
DOI: 10.5281/zenodo.15259518
title: The Dynamics of Twistor-EBIKK-β Gravity: Entropic Drives and Topological Flows

description: We reveal the fundamental driving mechanism behind spacetime dynamics in Twistor-Entropic-Born-Infeld-Kaluza-Klein β-gravity. The model replaces classical geodesic motion with:

(1) entropic maximization governed by Tent ln det g terms,

(2) topological currents from CP1 twistornetworks, and

(3) emergent Einstein equations from information equilibrium.

Predictions include modified inertia at ∼ 0.1 eV scales and measurable corrections to gravitational wave propagation.
DOI: 10.5281/zenodo.15259448
title: Computational Framework for Prioritizing Candidate Compounds:  Overcoming the Resistance of Pan-cancer Immunotherapy

description: The public datasets are used in the paper 'Computational Framework for Prioritizing Candidate Compounds:  Overcoming the Resistance of Pan-cancer Immunotherapy'.

'
DOI: 10.4121/01efed58-9427-478a-8687-50b35daf3d9c
title: Data supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection"

description: This repository contains a data set supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection" by Arent J. Kievits (DOI: 10.4233/uuid:68281e49-f57a-4307-b369-9866c0299323). Briefly, this thesis covers the development, bench marking and implementation of a workflow for volume electron microscopy using a 64-beam scanning transmission electron microscope (FAST-EM).<br>The data contained in this repository pertains to chapter 2 and 5 of the dissertation. The data sets of chapter 3 and 4 have been published already and can be found elsewhere:<br>Chapter 3: https://data.4tu.nl/datasets/9c98aee1-608e-4c71-8b89-dcb1e8eb3e5e.Chapter 4: https://data.4tu.nl/datasets/bf3f2b23-2328-4d81-a0f4-05fdb33117d7.<br>Chapter 2 covers a literature review of methodological advances in the field of volume electron microscopy, and the data supports Figure 2.1 in the chapter. <br>Chapter 5 provides a thorough description of image artifacts encountered when imaging with FAST-EM and how to mitigate or avoid them. The data of Chapter 5 is structured in the order of discussion in the chapter(s), the structure can be found in the README.<br><br>
DOI: 10.4121/01efed58-9427-478a-8687-50b35daf3d9c.v1
title: Data supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection"

description: This repository contains a data set supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection" by Arent J. KIevits (DOI to be added when thesis is published online). Briefly, this thesis covers the development, bench marking and implementation of a workflow for volume electron microscopy using a 64-beam scanning transmission electron microscope (FAST-EM).<br>The data contained in this repository pertains to chapter 2 and 5 of the dissertation. The data sets of chapter 3 and 4 have been published already and can be found elsewhere:<br>Chapter 3: https://data.4tu.nl/datasets/9c98aee1-608e-4c71-8b89-dcb1e8eb3e5eChapter 4: https://data.4tu.nl/datasets/bf3f2b23-2328-4d81-a0f4-05fdb33117d7.<br>Chapter 2 covers a literature review of methodological advances in the field of volume electron microscopy, and the data supports Figure 2.1 in the chapter. Chapter 5 provides a thorough description of image artifacts encountered when imaging with FAST-EM and provides suggestions how to mitigate or avoid them. The data is structured in the order of discussion in the chapter(s), the structure can be found in the README.<br><br>
DOI: 10.4121/01efed58-9427-478a-8687-50b35daf3d9c.v2
title: Data supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection"

description: This repository contains a data set supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection" by Arent J. Kievits (DOI: 10.4233/uuid:68281e49-f57a-4307-b369-9866c0299323). Briefly, this thesis covers the development, bench marking and implementation of a workflow for volume electron microscopy using a 64-beam scanning transmission electron microscope (FAST-EM).<br>The data contained in this repository pertains to chapter 2 and 5 of the dissertation. The data sets of chapter 3 and 4 have been published already and can be found elsewhere:<br>Chapter 3: https://data.4tu.nl/datasets/9c98aee1-608e-4c71-8b89-dcb1e8eb3e5e.Chapter 4: https://data.4tu.nl/datasets/bf3f2b23-2328-4d81-a0f4-05fdb33117d7.<br>Chapter 2 covers a literature review of methodological advances in the field of volume electron microscopy, and the data supports Figure 2.1 in the chapter. <br>Chapter 5 provides a thorough description of image artifacts encountered when imaging with FAST-EM and how to mitigate or avoid them. The data of Chapter 5 is structured in the order of discussion in the chapter(s), the structure can be found in the README.<br><br>
DOI: 10.35097/zgsgqvm54xhvjdg8
title: Raw data: Synergy of Ag and Pd in bimetallic catalysts for the selective oxidation of 5-(hydroxymethyl)furfural

description: A PDF with information about sample labeling is added to the data
DOI: 10.15468/dl.auybs3
title: Occurrence Download

description: A dataset containing 759168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fregata magnificens Mathews, 1914"
 ]
}

 The dataset includes 759168 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009157-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.17311
title: Artificial Intelligence the smarter person? Possibilities and limits of Artifcial Intelligence from an epistemological perspective

description: The research-based learning provision presented here is an interdisciplinary programme in which students from various disciplines research the use and possibilities of artificial intelligence and publish their findings in podcast episodes.
DOI: 10.25592/uhhfdm.17310
title: Artificial Intelligence the smarter person? Possibilities and limits of Artifcial Intelligence from an epistemological perspective

description: The research-based learning provision presented here is an interdisciplinary programme in which students from various disciplines research the use and possibilities of artificial intelligence and publish their findings in podcast episodes.
DOI: 10.25592/uhhfdm.17307
title: Research-based learning in political science: From Multi- to Unilateralism

description: This research-based learning programme takes place in the field of International Relations at the European University Viadrina. Students explore unilateralism through case studies and try out various AI tools in this context
DOI: 10.25592/uhhfdm.17306
title: Research-based learning in political science: From Multi- to Unilateralism

description: This research-based learning programme takes place in the field of International Relations at the European University Viadrina. Students explore unilateralism through case studies and try out various AI tools in this context
DOI: 10.25592/uhhfdm.17303
title: Shaping law with legal tech

description: The example of research-based learning presented here takes place in the study of law and legal sciences and combines research-based learning with design-based research. In it, law students investigate the extent to which access to law can be improved through the integration of legal technology.
DOI: 10.25592/uhhfdm.17302
title: Shaping law with legal tech

description: The example of research-based learning presented here takes place in the study of law and legal sciences and combines research-based learning with design-based research. In it, law students investigate the extent to which access to law can be improved through the integration of legal technology.
DOI: 10.5281/zenodo.15110806
title: РВОТА БЕРЕМЕННЫХ: ЭТИОПАТОГЕНЕЗ, МЕТОДЫ ДИАГНОСТИКИ И КЛИНИЧЕСКИЕ РЕКОМЕНДАЦИИ (ОБЗОР ЛИТЕРАТУРЫ)

description: Самым частым осложнением первого и начала второго триместра беременности является тошнота и рвота беременных [30]. От 50 до 80% беременных жалуются на тошноту и 50% из них имеют многократную рвоту [4; 31]. Очень часто это состояние требует госпитализации, т.к. в 3% случаев влечет за собой дегидратацию и кетоз [15]. Вместе с этим следует отметить тот факт, что в 90% случаев рвота представляет собой одно из физиологических проявлений беременности и только в 10% - это  тяжелое осложнение беременности [5; 34]. Принципиальными отличиями этих двух состояний является то, что при рвоте беременных, как патологического проявления процесса гестации, отмечаются значительные последствия для состояния беременной женщины – гиповолемия, эндогенная интоксикация, гипопротеинемия, гиперкоагуляция, тканевый ацидоз – что приводит к полиорганной недостаточности. Несмотря на это, до сих пор причина развития этого осложнения беременности до сих пор окончательно не выяснена. Предложено множество теорий: от психологической предрасположенности до эволюционной адаптации защиты матери и плода от некоторых потенциально опасных продуктов, а так же нарушений процессов адаптации организма матери к чужеродного белку [3; 21;11]. Однако, исследования выделил несколько факторов риска развития тошноты и рвоты беременных: нарушение функции щитовидной железы [19]; высокий ИМТ и преддиабет, употребление трансжиров до беременности
DOI: 10.5281/zenodo.15110807
title: РВОТА БЕРЕМЕННЫХ: ЭТИОПАТОГЕНЕЗ, МЕТОДЫ ДИАГНОСТИКИ И КЛИНИЧЕСКИЕ РЕКОМЕНДАЦИИ (ОБЗОР ЛИТЕРАТУРЫ)

description: Самым частым осложнением первого и начала второго триместра беременности является тошнота и рвота беременных [30]. От 50 до 80% беременных жалуются на тошноту и 50% из них имеют многократную рвоту [4; 31]. Очень часто это состояние требует госпитализации, т.к. в 3% случаев влечет за собой дегидратацию и кетоз [15]. Вместе с этим следует отметить тот факт, что в 90% случаев рвота представляет собой одно из физиологических проявлений беременности и только в 10% - это  тяжелое осложнение беременности [5; 34]. Принципиальными отличиями этих двух состояний является то, что при рвоте беременных, как патологического проявления процесса гестации, отмечаются значительные последствия для состояния беременной женщины – гиповолемия, эндогенная интоксикация, гипопротеинемия, гиперкоагуляция, тканевый ацидоз – что приводит к полиорганной недостаточности. Несмотря на это, до сих пор причина развития этого осложнения беременности до сих пор окончательно не выяснена. Предложено множество теорий: от психологической предрасположенности до эволюционной адаптации защиты матери и плода от некоторых потенциально опасных продуктов, а так же нарушений процессов адаптации организма матери к чужеродного белку [3; 21;11]. Однако, исследования выделил несколько факторов риска развития тошноты и рвоты беременных: нарушение функции щитовидной железы [19]; высокий ИМТ и преддиабет, употребление трансжиров до беременности
DOI: 10.25592/uhhfdm.17299
title: Researching social science aspects of the information and knowledge society

description: The research-based learning programme presented here takes place in the Bachelor of Business Information Systems and focuses on social science aspects of the information and knowledge society. Student research groups go through the various phases of research-based learning and reflect on the process at various points.
DOI: 10.25592/uhhfdm.17298
title: Researching social science aspects of the information and knowledge society

description: The research-based learning programme presented here takes place in the Bachelor of Business Information Systems and focuses on social science aspects of the information and knowledge society. Student research groups go through the various phases of research-based learning and reflect on the process at various points.