cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8186945
title: microcladia_borealis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8186944
title: microcladia_borealis_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23143250
title: Supplementary Material for: Intrarenal Anti-Leptin Treatment Attenuates Ischemia and Reperfusion Injury

description: Introduction: Renal ischemia and reperfusion (IR) injury introduces cellular stress and is the main cause of acute kidney damage. Renal cells exposed to noxious stress induce the expression of the pleiotropic hormone leptin. As we have previously revealed a deleterious stress-related role for leptin expression, these results suggested that leptin is also involved in pathological renal remodeling. The systemic functions of leptin preclude the study of its local effects using conventional approaches. We have therefore designed a method to locally perturb leptin activity in specific tissues without affecting its systemic levels. This study explores whether local anti-leptin strategy is reno-protection in a post-IR porcine kidney model. Methods: We induced renal IR injury in pigs by exposing kidneys to ischemia and revascularization. Upon reperfusion, kidneys instantly received an intraarterial bolus of either a leptin antagonist (LepA) or saline solution. Peripheral blood was sampled to assess systemic leptin, IL-6, creatinine, and BUN levels, and post-operative tissue samples were analyzed by H&E histochemistry and immunohistochemistry. Results: Histology of IR/saline kidneys exhibited extensive necrosis of proximal tubular epithelial cells, as well as elevated levels of apoptosis markers and inflammation. In contrast, IR/LepA kidneys showed no signs of necrosis or inflammation, with normal IL-6 and TLR4 levels. LepA treatment led to upregulation in mRNA levels of leptin, leptin receptor, ERK1/2, STAT3, and transport molecule NHE3. Conclusions: Local, intrarenal post-ischemic LepA treatment at reperfusion prevented apoptosis and inflammation and was reno-protective. Selective intrarenal administration of LepA at reperfusion may provide a viable option for clinical implementation.
DOI: 10.26302/sshade/experiment_zed_20230705_01
title: NIR reflectance spectra of Mercury minerals analogs cooled up to 148K

description: NIR reflectance spectra of Mercury minerals analogs (anorthite 80 and synthetic volcanic glasses) cooled by 50K step up to 148 K.
DOI: 10.5519/qd.mwwyg2h4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2222887 records)
DOI: 10.5281/zenodo.8186926
title: Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends

description: We present thermochronology data from igneous and metamorphic rock samples collected from the Pinale<strong>ñ</strong>o Mountains, southeast Arizona, U.S.A. Our interpretations of the data are described and discussed in a paper in the journal Tectonics, titled “Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends.” New data include biotite and white mica Ar/Ar analyses, apatite fission track analyses, apatite (U-Th-Sm)/He analyses, and zircon (U-Th-Sm)/He analyses. The data were used for inverse HeFTy modeling and forward radiation damage and annealing modeling (RDAAM) to investigate time-temperature histories. The data set comprises a table summarizing the results of Ar/Ar analyses (Table S1), a table with the detailed results of zircon (U-Th-Sm)/He thermochronology (Table S2), a table with the detailed results of apatite (U-Th-Sm)/He thermochronology (Table S3), a table summarizing the results of apatite fission track analyses, including radial plots (Table S4), and a table summarizing the input data and constraints used for inverse modeling.
DOI: 10.5281/zenodo.8186925
title: Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends

description: We present thermochronology data from igneous and metamorphic rock samples collected from the Pinale<strong>ñ</strong>o Mountains, southeast Arizona, U.S.A. Our interpretations of the data are described and discussed in a paper in the journal Tectonics, titled “Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends.” New data include biotite and white mica Ar/Ar analyses, apatite fission track analyses, apatite (U-Th-Sm)/He analyses, and zircon (U-Th-Sm)/He analyses. The data were used for inverse HeFTy modeling and forward radiation damage and annealing modeling (RDAAM) to investigate time-temperature histories. The data set comprises a table summarizing the results of Ar/Ar analyses (Table S1), a table with the detailed results of zircon (U-Th-Sm)/He thermochronology (Table S2), a table with the detailed results of apatite (U-Th-Sm)/He thermochronology (Table S3), a table summarizing the results of apatite fission track analyses, including radial plots (Table S4), and a table summarizing the input data and constraints used for inverse modeling.
DOI: 10.3886/e172581
title: Intention-based Social Influence in (Non) Strategic Sharing Experiments

description: This repository contains raw data and programs used in the paper "Intention-based Social Influence in (Non) Strategic Sharing Experiments."
DOI: 10.3886/e172581v1
title: Intention-based Social Influence in (Non) Strategic Sharing Experiments

description: This repository contains raw data and programs used in "Intention-based Social Influence in (Non) Strategic Sharing Experiments".
DOI: 10.3886/e172581v2
title: Intention-based Social Influence in (Non) Strategic Sharing Experiments

description: This repository contains raw data and programs used in "Intention-based Social Influence in (Non) Strategic Sharing Experiments".
DOI: 10.3886/e172581v3
title: Intention-based Social Influence in (Non) Strategic Sharing Experiments

description: This repository contains raw data and programs used in the paper "Intention-based Social Influence in (Non) Strategic Sharing Experiments."
DOI: 10.3886/e172581v4
title: Intention-based Social Influence in (Non) Strategic Sharing Experiments

description: This repository contains raw data and programs used in the paper "Intention-based Social Influence in (Non) Strategic Sharing Experiments."
DOI: 10.5281/zenodo.8186928
title: Experimental data and analysis of performances of dual-type temperature probes

description: Experimental data, VBA software, and data analysis resulted from an investigation of the performances of prototypes of dual-type temperature probes, that were used for testing the new concept of dual-type thermometers. Dual-type thermometers enable in-situ determination of thermocouple drift. The basic idea behind the concept is that thermocouple drift can be continuously monitored in situ by placing an additional and different temperature sensor in close proximity. The essential requirement for this additional sensor is that it experiences a drift that is lower than the drift of the monitored thermocouple. A drift of a thermocouple can be determined by an algorithm that monitors, and over time compares, the differences in its temperature readings and the readings of an additional (reference) sensor.
description: The design of dual-type temperature probes and testing of their performances was carried out within the EMPIR project "Traceable measurement capabilities for monitoring thermocouple performance" 18RPT03 MetForTC. The EMPIR initiative is co-funded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States.
DOI: 10.5281/zenodo.8186927
title: Experimental data and analysis of performances of dual-type temperature probes

description: Experimental data, VBA software, and data analysis resulted from an investigation of the performances of prototypes of dual-type temperature probes, that were used for testing the new concept of dual-type thermometers. Dual-type thermometers enable in-situ determination of thermocouple drift. The basic idea behind the concept is that thermocouple drift can be continuously monitored in situ by placing an additional and different temperature sensor in close proximity. The essential requirement for this additional sensor is that it experiences a drift that is lower than the drift of the monitored thermocouple. A drift of a thermocouple can be determined by an algorithm that monitors, and over time compares, the differences in its temperature readings and the readings of an additional (reference) sensor.
description: The design of dual-type temperature probes and testing of their performances was carried out within the EMPIR project "Traceable measurement capabilities for monitoring thermocouple performance" 18RPT03 MetForTC. The EMPIR initiative is co-funded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States.
DOI: 10.5067/aqua/modis/l4b/gsm/2022
title: AQUA MODIS Level-4 Binned Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/aqua/modis/l4m/gsm/2022
title: AQUA MODIS Level-4 Mapped Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/envisat/meris/l4b/gsm/2022
title: ENVISAT MERIS Level-4 Binned Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/terra/modis/l4b/gsm/2022
title: TERRA MODIS Level-4 Binned Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/terra/modis/l4m/gsm/2022
title: TERRA MODIS Level-4 Mapped Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/envisat/meris/l4m/gsm/2022
title: ENVISAT MERIS Level-4 Mapped Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/orbview-2/seawifs/l4b/gsm/2022
title: ORBVIEW-2 SEAWIFS Level-4 Binned Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5067/orbview-2/seawifs/l4m/gsm/2022
title: ORBVIEW-2 SEAWIFS Level-4 Mapped Garver, Siegel, Maritorena Model (GSM) Data Version R2022.0
DOI: 10.5281/zenodo.6484726
title: DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases

description: <strong>DisTEMIST corpus</strong> <strong>DISTEMIST-entities: complete training set (750 clinical cases)</strong> <strong>DISTEMIST-linking: part 1 of the training set (209 clinical cases)</strong> <strong>DISTEMIST-linking: part 2 of the training set (375 clinical cases)</strong> <strong>Introduction</strong> The DisTEMIST corpus is a collection of 1000 clinical cases with disease annotations linked with Snomed-CT concepts. All documents are released in the context of the BioASQ DisTEMIST track for CLEF 2022. For more information about the track and its schedule, please visit the website. <strong>File structure:</strong> The DisTEMIST corpus has been randomly divided into a training set, containing 750 clinical cases, and a test set (584 in the case of subtrack2), consisting of 250 additional cases. Participants must train their systems using the train set and submit predictions for the test set, on which they will be evaluated. The file structure of the corpus is as follows: <strong>train_set:</strong> <strong>text_files</strong>: Folder with plain text files of the clinical cases <strong>subtrack1_entities</strong>: It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <strong>subtrack2_linking: </strong>It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <em>codes</em>: List of Snomed-CT concept codes linked to the mention. If there is more than one code associated with a mention, they will be concatenated by the symbol “+”. <em>semantic relation</em>: the relationship between the assigned code and the mention. It can be EXACT, when the code corresponds exactly with the mention, or NARROW, when the mention corresponds to a narrower concept than the Snomed-CT code. For instance, the concept “Chorioretinal lacunae” does not exist in Snomed-CT. Then, it is normalized to the Snomed-CT ID 302893000 (“Chorioretinal disorder”). <strong>test_set: </strong>The 250 clinical cases that will be used to evaluate the systems will be published in accordance with the schedule of the task. <strong>Resources</strong> Web Evaluation Library <strong>DISTEMIST gazetteer</strong> <strong>DISTEMIST guidelines</strong> More resources soon
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.6408477
title: DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases

description: DisTEMIST corpus - training set <strong>Introduction</strong> The DisTEMIST corpus is a collection of 1000 clinical cases with disease annotations linked with Snomed-CT concepts. All documents are released in the context of the BioASQ DisTEMIST track for CLEF 2022. For more information about the track and its schedule, please visit the website. <strong>File structure:</strong> The DisTEMIST corpus has been randomly divided into a training set, containing 750 clinical cases, and a test set, consisting of 250 additional cases. Participants must train their systems using the train set and submit predictions for the test set, on which they will be evaluated. The file structure of the corpus is as follows: <strong>train_set:</strong> <strong>text_files</strong>: Folder with plain text files of the clinical cases <strong>subtrack1_entities</strong>: It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <strong>subtrack2_linking: </strong>It will be released on 15 April. It will contain the disease mentions normalized to Snomed-CT concepts. <strong>test_set: </strong>The 250 clinical cases that will be used to evaluate the systems will be published in accordance with the schedule of the task. <strong>Resources</strong> Web Evaluation Library <strong>DISTEMIST gazetteer</strong> <strong>DISTEMIST guidelines</strong> More resources soon
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.6458455
title: DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases

description: <strong>DisTEMIST corpus</strong> <strong>DISTEMIST-entities: complete training set (750 case reports)</strong> <strong>DISTEMIST-linking: part 1 of the training set (200 case reports)</strong> <strong>Introduction</strong> The DisTEMIST corpus is a collection of 1000 clinical cases with disease annotations linked with Snomed-CT concepts. All documents are released in the context of the BioASQ DisTEMIST track for CLEF 2022. For more information about the track and its schedule, please visit the website. <strong>File structure:</strong> The DisTEMIST corpus has been randomly divided into a training set, containing 750 clinical cases, and a test set, consisting of 250 additional cases. Participants must train their systems using the train set and submit predictions for the test set, on which they will be evaluated. The file structure of the corpus is as follows: <strong>train_set:</strong> <strong>text_files</strong>: Folder with plain text files of the clinical cases <strong>subtrack1_entities</strong>: It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <strong>subtrack2_linking: </strong>It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <em>codes</em>: List of Snomed-CT concept codes linked to the mention. If there is more than one code associated with a mention, they will be concatenated by the symbol “+”. <em>semantic relation</em>: the relationship between the assigned code and the mention. It can be EXACT, when the code corresponds exactly with the mention, or NARROW, when the mention corresponds to a narrower concept than the Snomed-CT code. For instance, the concept “Chorioretinal lacunae” does not exist in Snomed-CT. Then, it is normalized to the Snomed-CT ID 302893000 (“Chorioretinal disorder”). <strong>test_set: </strong>The 250 clinical cases that will be used to evaluate the systems will be published in accordance with the schedule of the task. <strong>Resources</strong> Web Evaluation Library <strong>DISTEMIST gazetteer</strong> <strong>DISTEMIST guidelines</strong> More resources soon
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.5281/zenodo.6500526
title: DisTEMIST corpus: detection and normalization of disease mentions in spanish clinical cases

description: Minor update from last version: put headers in tab-separated file "distemist_subtrack2_training2_linking.tsv" <strong>DisTEMIST corpus</strong> <strong>DISTEMIST-entities: complete training set (750 clinical cases)</strong> <strong>DISTEMIST-linking: part 1 of the training set (209 clinical cases)</strong> <strong>DISTEMIST-linking: part 2 of the training set (375 clinical cases)</strong> <strong>Introduction</strong> The DisTEMIST corpus is a collection of 1000 clinical cases with disease annotations linked with Snomed-CT concepts. All documents are released in the context of the BioASQ DisTEMIST track for CLEF 2022. For more information about the track and its schedule, please visit the website. <strong>File structure:</strong> The DisTEMIST corpus has been randomly divided into a training set, containing 750 clinical cases, and a test set (584 in the case of subtrack2), consisting of 250 additional cases. Participants must train their systems using the train set and submit predictions for the test set, on which they will be evaluated. The file structure of the corpus is as follows: <strong>train_set:</strong> <strong>text_files</strong>: Folder with plain text files of the clinical cases <strong>subtrack1_entities</strong>: It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <strong>subtrack2_linking: </strong>It contains annotations in a tab-separated file (TSV) with the following columns: <em>filename</em>: document name <em>mark</em>: identifier mention id <em>label</em>: mentions type (ENFERMEDAD) <em>off0</em>: starting position of the mention in the document <em>off1</em>: ending position of the mention in the document <em>span</em>: text span <em>codes</em>: List of Snomed-CT concept codes linked to the mention. If there is more than one code associated with a mention, they will be concatenated by the symbol “+”. <em>semantic relation</em>: the relationship between the assigned code and the mention. It can be EXACT, when the code corresponds exactly with the mention, or NARROW, when the mention corresponds to a narrower concept than the Snomed-CT code. For instance, the concept “Chorioretinal lacunae” does not exist in Snomed-CT. Then, it is normalized to the Snomed-CT ID 302893000 (“Chorioretinal disorder”). <strong>test_set: </strong>The 250 clinical cases that will be used to evaluate the systems will be published in accordance with the schedule of the task. <strong>Resources</strong> Web Evaluation Library <strong>DISTEMIST gazetteer</strong> <strong>DISTEMIST guidelines</strong> More resources soon
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
DOI: 10.25345/c5h41jz03
title: MassIVE MSV000093410 - Metabolomic analysis of phytochemicals from All species of Sceletium
title: Metabolite files of LCMS-MS spectra run on UHPLC-QToF-MSE for Research conducted in Prof Nox Makunga's Lab on the metabolite diversity across the Sceletium(mesembryanthemum) genus
DOI: 10.18167/dvn1/b2z5rq
title: Simulations des rendements canniers de 2016 à 2100 sur l'île de La Réunion avec le modèle Mosicas

description: Cette étude évalue les prédictions de rendement de canne à sucre sur l’ensemble des surfaces de canne à sucre de l’île de La Réunion sur la période couvrant 2015 à 2100, suivant trois scénarios de changement climatique (réchauffement limité à 2, 3 ou 6°C). Les projection climatiques journalières du climat utilisées sont issues du projet BRIO (Building Resilience in Indian Ocean) conduit par Météo France. Le modèle de croissance de la canne à sucre MOSICAS a été appliqué pour estimer les rendements en tige usinable fraîche et les besoins en eau d’irrigation en tenant compte des projections climatiques (rayonnement, température, évapotranspiration et précipitation) et de différents scénarios d’irrigation.
DOI: 10.5517/ccdc.csd.cc2dp5w5
title: CCDC 2224897: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Rudolf Pietschnig|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dp71d
title: CCDC 2224933: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Florian Heupel, Fritz Vögtle|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dqs75
title: CCDC 2226427: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Fritz Vögtle, Richard Hesse|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.