cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p4ky4d
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010005-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp6hkv
title: Occurrence Download

description: A dataset containing 3389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "DatasetKey is one of (Pl@ntNet observations, Pl@ntNet automatically identified occurrences)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Brassica napus L.",
 "Year 2022-2022"
 ]
}

 The dataset includes 3389 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010006-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpataf
title: Occurrence Download

description: A dataset containing 2382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.91556 54.46535,13.13902 54.46535,13.13902 61.56008,0.91556 61.56008,0.91556 54.46535))",
 "TaxonKey is one of (Balaenoptera acutorostrata Lacépède, 1804, Orcinus orca (Linnaeus, 1758), Lagenorhynchus albirostris (Gray, 1846))"
 ]
}

 The dataset includes 2382 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010008-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7wsfa
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010009-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcydyb
title: Occurrence Download

description: A dataset containing 2688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raphia P.Beauv.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2688 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010011-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14253220
title: Original and research results of air pollution in Nanchang City

description: Original and research results of air pollution in Nanchang City
DOI: 10.5281/zenodo.14253221
title: Original and research results of air pollution in Nanchang City

description: Original and research results of air pollution in Nanchang City
DOI: 10.15468/dl.mjdsdf
title: Occurrence Download

description: A dataset listing the 157195 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Pakistan, India, Nepal, Afghanistan, Bangladesh, Bhutan, Sri Lanka, Maldives)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 157195 records were derived from 2772 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010003-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14936214
title: Dataset related to article "Refining patient selection for next-generation immunotherapeutic early-phase clinical trials with a novel and externally validated prognostic nomogram"

description: This record contains raw data related to article "Refining patient selection for next-generation immunotherapeutic early-phase clinical trials with a novel and externally validated prognostic nomogram"

ABSTRACT

Introduction: Identifying which patient may benefit from immunotherapeutic early-phase clinical trials is an unmet need in drug development. Among several proposed prognostic scores, none has been validated in patients receiving immunomodulating agents (IMAs)-based combinations.

Patients and methods: We retrospectively collected data of 208 patients enrolled in early-phase clinical trials investigating IMAs at our Institution, correlating clinical and blood-based variables with overall survival (OS). A retrospective cohort of 50 patients treated with IMAs at Imperial College (Hammersmith Hospital, London, UK) was used for validation.

Results: A total of 173 subjects were selected for analyses. Most frequent cancers included non-small cell lung cancer (26%), hepatocellular carcinoma (21.5%) and glioblastoma (13%). Multivariate analysis (MVA) revealed 3 factors to be independently associated with OS: line of treatment (second and third vs subsequent, HR 0.61, 95% CI 0.40-0.93, p 0.02), serum albumin as continuous variable (HR 0.57, 95% CI 0.36–0.91, p 0.02) and number of metastatic sites (<3 vs ≥3, HR 0.68, 95% CI 0.48-0.98, p 0.04). After splitting albumin value at the median (3.84 g/dL), a score system was capable of stratifying patients in 3 groups with significantly different OS (p<0.0001). Relationship with OS reproduced in the external cohort (p=0.008). Then, from these factors we built a nomogram.

Conclusions: Prior treatment, serum albumin and number of metastatic sites are readily available prognostic traits in patients with advanced malignancies participating into immunotherapy early-phase trials. Combination of these factors can optimize patient selection at study enrollment, maximizing therapeutic intent.
DOI: 10.5281/zenodo.14936215
title: Dataset related to article "Refining patient selection for next-generation immunotherapeutic early-phase clinical trials with a novel and externally validated prognostic nomogram"

description: This record contains raw data related to article "Refining patient selection for next-generation immunotherapeutic early-phase clinical trials with a novel and externally validated prognostic nomogram"

ABSTRACT

Introduction: Identifying which patient may benefit from immunotherapeutic early-phase clinical trials is an unmet need in drug development. Among several proposed prognostic scores, none has been validated in patients receiving immunomodulating agents (IMAs)-based combinations.

Patients and methods: We retrospectively collected data of 208 patients enrolled in early-phase clinical trials investigating IMAs at our Institution, correlating clinical and blood-based variables with overall survival (OS). A retrospective cohort of 50 patients treated with IMAs at Imperial College (Hammersmith Hospital, London, UK) was used for validation.

Results: A total of 173 subjects were selected for analyses. Most frequent cancers included non-small cell lung cancer (26%), hepatocellular carcinoma (21.5%) and glioblastoma (13%). Multivariate analysis (MVA) revealed 3 factors to be independently associated with OS: line of treatment (second and third vs subsequent, HR 0.61, 95% CI 0.40-0.93, p 0.02), serum albumin as continuous variable (HR 0.57, 95% CI 0.36–0.91, p 0.02) and number of metastatic sites (<3 vs ≥3, HR 0.68, 95% CI 0.48-0.98, p 0.04). After splitting albumin value at the median (3.84 g/dL), a score system was capable of stratifying patients in 3 groups with significantly different OS (p<0.0001). Relationship with OS reproduced in the external cohort (p=0.008). Then, from these factors we built a nomogram.

Conclusions: Prior treatment, serum albumin and number of metastatic sites are readily available prognostic traits in patients with advanced malignancies participating into immunotherapy early-phase trials. Combination of these factors can optimize patient selection at study enrollment, maximizing therapeutic intent.
DOI: 10.15468/dl.xgrxdn
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is United Arab Emirates",
 "GadmGid is ARE.4_1",
 "Geometry POLYGON((56.37103 25.52657,56.36904 25.52573,56.3695 25.52296,56.37571 25.5236,56.37376 25.52743,56.37103 25.52657))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 300 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000530-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14936353
title: For the article "Size effect in the electrical resistance of rough epitaxial Mo films on sapphire"
DOI: 10.5281/zenodo.14936354
title: For the article "Size effect in the electrical resistance of rough epitaxial Mo films on sapphire"
DOI: 10.34740/kaggle/dsv/10869434
title: World Weather Repository ( Daily Updating )
DOI: 10.18150/jkegne
title: 3D-printed covers for attaching Thorlabs optical filters to a Haag-Streit-type slit-lamp biomicroscope

description: The data was generated as part of a project aimed at determining whether a slit-lamp biomicroscope, used by eye-care specialists to assess ocuar surface health, can be utilized to measure the fluorescence level of the fluorescein-stained tear film for tear clearance rate (TCR) calculation. TCR could be a potential marker of dry eye disease. To achieve this, the slit-lamp biomicroscope was modified by equipping it with a set of filters optimized for fluorescence observation. To mount these filters on the microscope, a set of custom-made plastic covers has to be 3D-printed from plastic, since it is not commercially availableDataset contains a documentation of the cover set, including:1) Three STL files for 3D printing, with blueprints for:The cover for two emission filters to be placed on the objective lens of the biomicroscopeThe cap to secure the emission filters inside the emmission filter coverThe cover for the excitation filter to be mounted on the biomicroscope illuminator2) One TXT file with the description of the reccommended materials to be used for printing3) Two JPG files with images illustrating:How to mount the filter covers on the biomicroscopeFinal result before and after 3D-printing
DOI: 10.15468/dl.96c9jy
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus assoanus Dufour ex Schult. & Schult.f.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 196 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000550-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14936277
title: Dataset related to article "Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation"

description:  This record contains raw data related to article “Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation”

 

Purpose To improve the workfow of total marrow and lymphoid irradiation (TMLI) by enhancing the delineation of organsat risk (OARs) and clinical target volume (CTV) using deep learning (DL) and atlas-based (AB) segmentation models.Materials and methods Ninety-fve TMLI plans optimized in our institute were analyzed. Two commercial DL softwarewere tested for segmenting 18 OARs. An AB model for lymph node CTV (CTV_LN) delineation was built using 20 TMLIpatients. The AB model was evaluated on 20 independent patients, and a semiautomatic approach was tested by correctingthe automatic contours. The generated OARs and CTV_LN contours were compared to manual contours in terms of topological agreement, dose statistics, and time workload. A clinical decision tree was developed to defne a specifc contouringstrategy for each OAR.Results The two DL models achieved a median [interquartile range] dice similarity coefcient (DSC) of 0.84 [0.71;0.93]and 0.85 [0.70;0.93] across the OARs. The absolute median Dmean diference between manual and the two DL models was2.0 [0.7;6.6]% and 2.4 [0.9;7.1]%. The AB model achieved a median DSC of 0.70 [0.66;0.74] for CTV_LN delineation,increasing to 0.94 [0.94;0.95] after manual revision, with minimal Dmean diferences. Since September 2022, our institution has implemented DL and AB models for all TMLI patients, reducing from 5 to 2 h the time required to complete theentire segmentation process.Conclusion DL models can streamline the TMLI contouring process of OARs. Manual revision is still necessary for lymphnode delineation using AB models.
DOI: 10.5281/zenodo.14936278
title: Dataset related to article "Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation"

description:  This record contains raw data related to article “Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation”

 

Purpose To improve the workfow of total marrow and lymphoid irradiation (TMLI) by enhancing the delineation of organsat risk (OARs) and clinical target volume (CTV) using deep learning (DL) and atlas-based (AB) segmentation models.Materials and methods Ninety-fve TMLI plans optimized in our institute were analyzed. Two commercial DL softwarewere tested for segmenting 18 OARs. An AB model for lymph node CTV (CTV_LN) delineation was built using 20 TMLIpatients. The AB model was evaluated on 20 independent patients, and a semiautomatic approach was tested by correctingthe automatic contours. The generated OARs and CTV_LN contours were compared to manual contours in terms of topological agreement, dose statistics, and time workload. A clinical decision tree was developed to defne a specifc contouringstrategy for each OAR.Results The two DL models achieved a median [interquartile range] dice similarity coefcient (DSC) of 0.84 [0.71;0.93]and 0.85 [0.70;0.93] across the OARs. The absolute median Dmean diference between manual and the two DL models was2.0 [0.7;6.6]% and 2.4 [0.9;7.1]%. The AB model achieved a median DSC of 0.70 [0.66;0.74] for CTV_LN delineation,increasing to 0.94 [0.94;0.95] after manual revision, with minimal Dmean diferences. Since September 2022, our institution has implemented DL and AB models for all TMLI patients, reducing from 5 to 2 h the time required to complete theentire segmentation process.Conclusion DL models can streamline the TMLI contouring process of OARs. Manual revision is still necessary for lymphnode delineation using AB models.
DOI: 10.15468/dl.rtc9hm
title: Occurrence Download

description: A dataset containing 614640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argonautidae, Ommastrephidae, Ocythoidae, Mysidae, Cancridae, Grapsidae, Strongylocentrotidae, Echinometridae, Echinometradae, Crangonidae, Goneplacidae, Xanthidae, Euphausiidae, Pasiphaeidae, Oikopleuridae, Paracalanidae, Centropagidae, Corycaeidae, Clausocalanidae, Calanidae, Eucalanidae, Rhincalanidae, Aetideidae, Euchaetidae, Scolecitrichidae, Candaciidae, Temoridae, Oithonidae, Sapphirinidae, Oncaeidae, Caligidae, Ectinosomatidae, Pinnotheridae, Alloposidae, Majidae, Ophiuridae, Hyperiidae, Physaliidae, Porpitidae, Diphyidae, Ulmaridae, Pandeidae, Periphyllidae, Atelecyclidae, Penaeidae, Sepiidae, Vampyroteuthidae, Munididae, Leucosiidae, Sergestidae, Salpidae, Squillidae, Vitreledonellidae, Amphitretidae, Ocypodidae, Pandalidae, Spongicolidae, Lithodidae, Sepiolidae, Onychoteuthidae, Gonatidae, Goniatidae, Alpheidae, Palaemonidae, Stichopodidae, Callionymidae, Gobiidae, Myctophidae, Oplophoridae, Luidiidae, Asteriidae, Asteiidae, Enoploteuthidae, Octopodidae, Sternoptychidae, Tremoctopodidae, Hippolytidae, Paguridae, Parapaguridae, Sagittidae, Loliginidae, Stenothoidae, Melitidae, Dogielinotidae, Ampeliscidae, Atylidae, Dexaminidae, Liljeborgiidae, Oedicerotidae, Tryphosidae, Pleustidae, Pontogeneiidae, Pseudocrangonyctidae, Portunidae, Caprellidae, Ischyroceridae, Mytilidae, Nuculanidae, Propeamussiidae, Yoldiidae, Pectinidae, Semelidae, Anomiidae, Veneridae, Tellinidae, Solenidae, Arcidae, Anatinellidae, Laternulidae, Mactridae, Nuculidae, Nereididae, Seraphsidae, Oenonidae, Eunicidae, Polynoidae, Lumbrineridae, Alciopidae, Aphroditidae, Sternaspidae, Glyceridae, Pectinariidae, Trichobranchidae, Syllidae, Goniadidae, Magelonidae, Nassariidae, Turritellidae, Cylichnidae, Scaphandridae, Muricidae, Buccinidae, Atlantidae, Turbinidae, Haliotidae, Trochidae, Naticidae, Conidae, Littorinidae, Philinidae, Mitridae, Columbellidae, Potamididae, Nacellidae, Rissoidae, Anatomidae, Margaritidae, Pyramidellidae, Fissurellidae, Acteonidae, Naviculaceae, Rhaphoneidaceae, Catenulaceae, Achnanthaceae, Rhabdonemataceae, Thalassiosiraceae, Thallassiosiraceae, Chaetocerotaceae, Coscinodiscaceae, Melosiraceae, Skeletonemaceae, Skeletonemataceae, Hemiaulaceae, Zosteraceae, Laminariaceae, Sargassaceae, Ulvaceae, Gelidiaceae, Halymeniaceae, Alariaceae, Cavoliniidae, Limacinidae, Clionaidae, Thoosidae, Cliidae, Balanidae, Pyrgomatidae, Lepadidae, Scalpellidae, Chthamalidae, Tetraclitidae)",
 "Geometry POLYGON((179 20, 179 50, 120 50, 120 20, 179 20))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 614640 records from 553 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000501-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbnbzc
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Narcissus bulbocodium L.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 564 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000552-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8etfv
title: Occurrence Download

description: A dataset containing 211534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pipistrellus pygmaeus (Leach, 1825)",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 211534 records from 1437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000521-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.1994.1283
title: With abstracts, 20 examples of Citations of the article: https://www.researchgate.net/publication/277018928; Inhibitory analysis of top-down control: New keys to studying eutrophication, algal blooms, and water self-purification. Ostroumov S.A. (2002) Hydrobiologia, 469: 117-129. It was cited by researchers from U.S., Italy, Russia, China et al.
DOI: 10.15468/dl.emjncg
title: Occurrence Download

description: A dataset containing 125947 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MIL: Milwaukee Public Museum (MPM) Herbarium"
 ]
}

 The dataset includes 125947 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020588-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krqtfp
title: Occurrence Download

description: A dataset containing 125374 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DEMNA-DNE : Occurrences of Diatoms (Bacillariophyceae) in running waters of Wallonia, Belgium"
 ]
}

 The dataset includes 125374 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020589-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111352311
title: Record, KTU 4.552

description: [Text Description:] Ugaritic Tablet KTU 4.552 ❧ [Text or Publication Number Note:] KTU 4.552; KTU2 4.552; KTU3 4.552; CTU 4.552; CAT 4.552; RS 18.478 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform
DOI: 10.15468/dl.z7ya8u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coniferiporia sulphurascens (Pilát) L.W.Zhou & Y.C.Dai",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136380-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111150975
title: Fragmentary list of sacrifices, KTU 1.126

description: [Text Description:] Ritual, list (sacrifices) ❧ [Text or Publication Number Note:] KTU 1.126; KTU2 1.126; CTU 1.126; CAT 1.126; RS 24.276; DO 6612 ❧ [Excavation Description:] Found during 1961 excavations at Ras Shamra. House of the Hurrian Priest, SA, Room 10: topographical point 3759 depth 1.00? ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet; fragmentary tablet ❧
DOI: 10.25549/inscriptifact-ouc111150933
title: List of divine names, KTU 1.123, Liste de noms divins

description: [Text Description:] Prayer, liturgy?, scribal exercise ❧ [Text or Publication Number Note:] KTU 1.123; KTU2 1.123; CTU 1.123; CAT 1.123; RS 24.271; DO 6608 ❧ [Excavation Description:] Found during 1961 excavations at Ras Shamra. House of the Hurrian Priest, SA, Room 10: topographical point 3769 depth 0.90? ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet; borken off on bottom and right ❧
DOI: 10.15468/dl.fo27mr
title: Occurrence Download

description: A dataset containing 29331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rana arvalis Nilsson, 1842"
 ]
}

 The dataset includes 29331 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023533-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111151762
title: Incantation, KTU 1.128

description: [Text or Publication Number Note:] KTU 1.128, KTU2 1.128, KTU3 1.128, CTU 1.128, CAT 1.128 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧