cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e244101v1
title: Ebonyi State School Of Nursing (S.O.N.), Mater Misericordiae Hospital, Afikpo 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: Ebonyi State School Of Nursing (S.O.N.), Mater Misericordiae Hospital, Afikpo 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.17866/rd.salford.31064104
title: IBIC - Pharmaron Database

description: Microbial Protein Factories: The Key to Sustainable and Scalable Biomanufacturing
DOI: 10.17866/rd.salford.31064104.v1
title: IBIC - Pharmaron Database

description: Microbial Protein Factories: The Key to Sustainable and Scalable Biomanufacturing
DOI: 10.3886/e244102v1
title: Edo State School Of Nursing (S.O.N.), General Hospital, Benin City 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: Edo State School Of Nursing (S.O.N.), General Hospital, Benin City 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244103v1
title: School Of Nursing (S.O.N.), University Of Benin Teaching Hospital, Benin City 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), University Of Benin Teaching Hospital, Benin City 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244105v1
title: Enugu State School Of Nursing (S.O.N.), University Of Nigeria Teaching Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: Enugu State School Of Nursing (S.O.N.), University Of Nigeria Teaching Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244104v1
title: Ekiti State School Of Nursing (S.O.N.), Ado Ekiti 2026/2027 ADMISSION FORM Is Out Call 09032974622 .

description: Ekiti State School Of Nursing (S.O.N.), Ado Ekiti 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244106v1
title: School Of Nursing (S.O.N.), Bishop Shanahan Hospital, Nsukka 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), Bishop Shanahan Hospital, Nsukka 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244107v1
title: School Of Nursing (S.O.N.), Parklane Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), Parklane Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.3886/e244109v1
title: Imo State School Of Nursing (S.O.N.), St. Mary's Hospital, Amaigbo 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: Imo State School Of Nursing (S.O.N.), St. Mary's Hospital, Amaigbo 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.15468/dl.autywh
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.26.84_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008843-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244108v1
title: F. C. T. Abuja School Of Nursing (S.O.N.), Gwagwalada 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: F. C. T. Abuja School Of Nursing (S.O.N.), Gwagwalada 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.17026/dans-2au-937b
title: Getuigen Verhalen, Het Molukse perspectief in oorlogstijd, interview 13

description: &lt;p&gt;Geïnterviewde 13 is geboren in 1926 in Lameulo (Aceh, Sumatra). Haar vader is KNIL-militair en het gezin komt terecht in verschillende plaatsen in Sumatra en Java. In 1937 bezoekt het gezin Ambon en het dorp Oma (Haruku) als vader met verlof gaat. Als de oorlog uitbreekt woont het gezin in Padang. Het gezin wordt door de Japanners overgebracht naar het Gloegoer-kamp in Medan. Na enkele maanden worden zij vrij gelaten en keren terug in Padang, Andalas. Daar maakt haar vader en andere Molukkers deel uit van de lokale verzetsgroep Sapu Tangan Merah (Rode Zakdoek). Het gezin verhuist hierna naar Gaon in de buurt van Emmahaven. Daar blijft haar vader druk bezig met allerlei activiteiten. Geïnterviewde is getuige van het onder geweld wegvoeren van een groep mannen door Japanse militairen op een vrachtwagen. Na een inval van hun huis door Japanse militairen in 1942 of 1943 wordt een portret van koningin Wilhelmina en een rood-wit-blauwe vlag gevonden. Haar vader opgepakt door de Kenpeitai. Jet gezin verhuist naar Simpang Haru. Het gezin verhuist naar Malang (Java) waar zij aanvankelijk bij familie van haar moeder in Kedaon wonen. Enkele maanden later moeten zij verhuizen naar de wijk Temanggunan die dienst doet als gevengenkamp en waar ook veel andere Ambonezen worden vastgehouden. Daar wordt iedere morgen appel gehouden en moeten de Japanse militairen in het passeren worden begroet op Japanse wijze op straffe van een pak slaag.&lt;br&gt;Direct na de Japanse capitulatie moeten zij uit het kamp vluchten, omdat Indonesische nationalisten het kamp willen afbranden. Het gezin leeft in een vijandige omgeving. Onder invloed van het Indonesische nationalisme mag er geen Nederlands meer gesproken worden, alleen maar Maleis. Als de Nederlanders weer terugkomen, leert zij haar huidige echtgenoot kennen en trouwt hem in 1948 , een Molukse KNIL-militair. Zij verhuizen hierna naar Makassar (Celebes, Sulawesi)&lt;br&gt;Zij heeft haar vader nooit meer teruggezien. Hoewel zij vanaf destijds tot later steeds op zoek is geweest naar informatie, weet zij uitendelijk niets over het verdere lot van haar vader. Geïnterviewde heeft tot op heden geestelijke last door haar ervaringen tijdens de oorlog in Indie.&lt;/p&gt;
description: Date Submitted: 2010-06-01
DOI: 10.15468/dl.2sbzja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.19.6_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008844-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18244023
title: Análise Temática Caso 2

description: Este quadro apresenta a organização das unidades de significado codificadas a partir das entrevistas conduzidas com os colaboradores envolvidos na implementação do novo processo de onboarding do Caso 2 da pesquisa. As falas foram analisadas conforme a metodologia de análise temática proposta por Braun & Clarke (2006), agrupando os dados em temas principais e subtemas emergentes. Os dados foram coletados por meio de entrevistas semiestruturadas, gravadas, transcritas e codificadas manualmente com suporte da técnica de análise qualitativa. O objetivo deste quadro é evidenciar os padrões de sentido compartilhados pelos entrevistados sobre suas experiências, contribuindo para a compreensão dos desafios e avanços no processo de socialização organizacional
DOI: 10.5281/zenodo.18244022
title: Análise Temática Caso 2

description: Este quadro apresenta a organização das unidades de significado codificadas a partir das entrevistas conduzidas com os colaboradores envolvidos na implementação do novo processo de onboarding do Caso 2 da pesquisa. As falas foram analisadas conforme a metodologia de análise temática proposta por Braun & Clarke (2006), agrupando os dados em temas principais e subtemas emergentes. Os dados foram coletados por meio de entrevistas semiestruturadas, gravadas, transcritas e codificadas manualmente com suporte da técnica de análise qualitativa. O objetivo deste quadro é evidenciar os padrões de sentido compartilhados pelos entrevistados sobre suas experiências, contribuindo para a compreensão dos desafios e avanços no processo de socialização organizacional
DOI: 10.21942/uva.31057612
title: Data anonymised JM

description: Data anonymised JM
DOI: 10.21942/uva.31057612.v1
title: Data anonymised JM

description: Data anonymised JM
DOI: 10.15468/dl.ezyuqq
title: Occurrence Download

description: A dataset containing 1502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Puerto Rico",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 1502 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008845-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.287eqt
title: Occurrence Download

description: A dataset containing 7383737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2026"
 ]
}

 The dataset includes 7383737 records from 3512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008766-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26488216
title: Pre-VFall: Vision Sensor Simulated Early Signs of Fall Dataset

description: The Pre-VFall dataset is a multimodal dataset. It includes images, keygradient vector magnitude features, and keygradient vector direction features available to researchers for advancing the robustness of fall detection systems. The dataset is intended for use by the machine learning community to identify pattern cues that signal the onset of falls. The dataset provides new insights into how frailty states in older adults may serve as precursors to fall incidents. This will help improve the robustness of fall detection systems, ensuring they can effectively account for irregularities in movement and behavior that indicate early signs of fall. The dataset consists of around 22K images selected from recorded videos of nine healthy young adult participants. Each participant's videos and corresponding images are organized in folders named after each video session as follows: confusion_delirium, confusion_nph, dizzy_fall_forward, dizzy_fall_side, weakness_fall_forward, and weakness_fall_side. It should be noted that weakness and dizziness sessions were succeeded by falls and so included fall in their labels. The terms “forward” and “side” in some labels indicate the direction of fall. Each folder contains videos recorded with RGB cameras positioned at 90° and 45° with forward-view and side-view cameras included to identify the angle of the camera. The frames of the videos were manually selected and sorted into their respective categories. For example, the pre-fall activities such as weakness, dizziness, delirium-confusion, and NPH-confusion were categorized as “Abnormal,” while states of falling and actual falls were categorized as “Fall.” Therefore, this dataset encompasses three activity classes: normal, abnormal, and fall.
DOI: 10.6084/m9.figshare.26488216.v4
title: Pre-VFall: Vision Sensor Simulated Early Signs of Fall Dataset

description: The Pre-VFall dataset is a multimodal dataset. It includes images, keygradient vector magnitude features, and keygradient vector direction features available to researchers for advancing the robustness of fall detection systems. The dataset is intended for use by the machine learning community to identify pattern cues that signal the onset of falls. The dataset provides new insights into how frailty states in older adults may serve as precursors to fall incidents. This will help improve the robustness of fall detection systems, ensuring they can effectively account for irregularities in movement and behavior that indicate early signs of fall. The dataset consists of around 22K images selected from recorded videos of nine healthy young adult participants. Each participant's videos and corresponding images are organized in folders named after each video session as follows: confusion_delirium, confusion_nph, dizzy_fall_forward, dizzy_fall_side, weakness_fall_forward, and weakness_fall_side. It should be noted that weakness and dizziness sessions were succeeded by falls and so included fall in their labels. The terms “forward” and “side” in some labels indicate the direction of fall. Each folder contains videos recorded with RGB cameras positioned at 90° and 45° with forward-view and side-view cameras included to identify the angle of the camera. The frames of the videos were manually selected and sorted into their respective categories. For example, the pre-fall activities such as weakness, dizziness, delirium-confusion, and NPH-confusion were categorized as “Abnormal,” while states of falling and actual falls were categorized as “Fall.” Therefore, this dataset encompasses three activity classes: normal, abnormal, and fall.
DOI: 10.15468/dl.8k89hs
title: Occurrence Download

description: A dataset containing 16391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rottboellia L.f."
 ]
}

 The dataset includes 16391 records from 461 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002150-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8063
title: Wannabe Approximatives: datasets

description: This item contains 6 datasets including annotated concordances of "wannabe" collocations in 6 different languages: Danish, Dutch, English, Finnish, French, Italian. The concordances come from TenTen corpora on SketchEngine (https://www.sketchengine.eu/), specifically: daTenTen20 for Danish; nlTenTen20 for Dutch; enTenTen20 for English; fiTenTen14 for Finnish; frTenTen20 for French; itTenTen20 for Italian. The datasets are structured in the same way, allowing for cross-linguistic comparability. The datasets constitute the underlying data of the study by Norde et al. (2025), mentioned in the References.
DOI: 10.4121/50df56a6-4d14-459d-a5fb-cb96f1bf0d45.v1
title: Interview Format, Survey, and Python code, supporting Phd Research on Public Information Infrastructures

description: This data set contains various documents supporting the thesis 'Public Information Infrastructure Stewardship'. It contains interview and survey formats, as well as Python codes.<br>Abstract of the Thesis: Governments rely heavily on information to perform their public duties. Much of the relevant data is held by other parties, including citizens, private companies, research institutions, civil society organisations and international platforms. This necessitates the establishment of public information infrastructures (PII) to facilitate data exchange between these external parties and public organisations. However, governments encounter new problems when designing information infrastructures. There is a lack of understanding of these PII in both science and practice. This makes it difficult to anticipate how practitioners, or specifically PII stewards, can ensure high-quality configurations. Understanding the configuration of PII and how PII stewards can influence it early in the process can help public organisations make more informed, coherent decisions and ensure the infrastructure evolves in alignment with public values and long-term goals. This manuscript addresses the key question: what is PII stewardship, and how does it interact with configurations for data exchange with (semi-)public organisations? Through multiple research phases, we provide answers to the research questions and insights into the interaction between PII stewardship and PII configurations. We observe that each steward corresponds with a specific PII configuration. These configurations evolve over time, resulting in changes to the type of PII stewardship.
DOI: 10.15468/dl.ugbptr
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissachatina fulica",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033233-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/04mx0-dpr54
title: Campylobacter jejuni

description: Session notes: Campy cjj0413, filtered 0.28,0.02 after binning to pixel size 1.56 nm (so, ~5.5nm cutoff) Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2012-01-12</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Campylobacter jejuni</p>
<strong>Strain:</strong> subsp. jejuni 81116</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: 1.5°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: 15.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-12-19/rawdata/</p>12jan12a_cjj0413_0022.st,  Tilt Series (Pixel Size 0.774 nm), 743.2 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-12-19/rawdata/12jan12a_cjj0413_0022.st"
        > <i class="download icon"></i> Download </a></p>

        12jan12a_cjj0413_0022.rec,  Reconstruction (Pixel Size 0.78 nm), 100.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-12-19/3dimage_22543/12jan12a_cjj0413_0022.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/zajga-wp827
title: Campylobacter jejuni

description: Session notes: Campy motB mutant, filtered 0.28, 0.02 after binning 2x more (to ~5.5nm resolution) Tilt series notes:  Tomogram notes:
description: <strong>Tilt Series Date:</strong> 2012-01-13</p>
<strong>Data Taken By:</strong> Morgan Beeby</p>
<strong>Species / Specimen:</strong> Campylobacter jejuni</p>
<strong>Strain:</strong> subsp. jejuni 81116</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: 1.5°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: 15.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> </p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-13-22/rawdata/</p>12jan13a_motB_0012.st,  Tilt Series (Pixel Size 0.774 nm), 743.2 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-13-22/rawdata/12jan13a_motB_0012.st"
        > <i class="download icon"></i> Download </a></p>

        12jan13a_motB_0012.rec,  Reconstruction (Pixel Size 0.78 nm), 83.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mba2012-01-13-22/3dimage_22291/12jan13a_motB_0012.rec"
        > <i class="download icon"></i> Download </a></p>