cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-13-17244
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17245
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-17246
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-17247
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17248
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17249
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MAX TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17250
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17251
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP TIME-RANGE-VALUES 10thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17252
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17253
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17254
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17255
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17256
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-DRY-DAYS

description: Climate Models
DOI: 10.17171/1-13-17257
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-FROST-DAYS

description: Climate Models
DOI: 10.17171/1-13-17258
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-17259
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-17260
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17261
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN FROST-DAYS

description: Climate Models
DOI: 10.17171/1-13-17262
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP TIME-RANGE-VALUES 10thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17263
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-17264
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-17265
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN ICE-DAYS

description: Climate Models
DOI: 10.17171/1-13-17266
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.5281/zenodo.3478638
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.17171/1-13-17267
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17268
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-17269
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SIMPLE-DAILY-INTENSITY

description: Climate Models
DOI: 10.17171/1-13-17270
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-17271
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-17272
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-17273
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP TIME-RANGE-VALUES 25thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17274
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-17275
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-17276
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-17277
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-17278
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN TROPICAL-NIGHTS

description: Climate Models
DOI: 10.17171/1-13-17279
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN VERY-HEAVY-PREIPITATION-DAYS

description: Climate Models
DOI: 10.17171/1-13-17280
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEAN WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-17281
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-17282
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17283
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17284
title: EUROPE FIELD-AVERAGE COSMO-CLM 2000BP TIME-RANGE-VALUES 25thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-17285
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-17286
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-17287
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN EVAPORATION

description: Climate Models
DOI: 10.17171/1-13-17288
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN ICE-COVER

description: Climate Models
DOI: 10.17171/1-13-17289
title: WORLD FIELD-AVERAGE ECHAM5 200BP MULTY-YEAR-MONTHLY-VALUES MEDIAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.5880/sfb806.49
title: Supplementary data of Hensel et al. 2019, E

description: This data corresponds to the article and shall be quoted as such using the provided DOI: Hensel, E. A., Bödeker, O., Bubenzer, O., and Vogelsang, R.: Combining geomorphological–hydrological analyses and the location of settlement and raw material sites – a case study on understanding prehistoric human settlement activity in the southwestern Ethiopian Highlands, E
DOI: 10.5281/zenodo.3478639
title: 10 MHz reference CW measured same as 5 MHz WWV

description: This is a supplement to file K4BSE 34.124 -84.203 5 MHz.csv submitted last week, just after the frequency measurement period. I'd wondered about some jumps in frequency error I saw in my earlier submission (see xlxs file attached of the original frequency measurement run), so in this test I measured frequency error in exactly the same way, except that I was measuring a 10 MHz signal from a rubidium stabilized frequency source. The receiver was still stabilized by a GPSDO. I see some similar-magnitude frequency jumps here (note change in vertical scale). Also some frequency drifts is seen between some of the jumps, consistent with frequency drift in the test data submitted previously. I presume the jumps are due to the frequency calibration jumps in the K3's local oscillator. As best I can tell, the frequency of the K3 in the locked mode is determined by measurement of the frequency of an external 10 MHz oscillator, which is then used to calculate a correction to the tuned frequency of the radio. The jumps of a fraction of a Hz are consistent with the stated frequency accuracy of the radio when locked to a good reference (eg., the GPSDO used).
DOI: 10.5281/zenodo.3478640
title: 10 MHz reference CW measured same as 5 MHz WWV

description: This is a supplement to file K4BSE 34.124 -84.203 5 MHz.csv submitted last week, just after the frequency measurement period. I'd wondered about some jumps in frequency error I saw in my earlier submission (see xlxs file attached of the original frequency measurement run), so in this test I measured frequency error in exactly the same way, except that I was measuring a 10 MHz signal from a rubidium stabilized frequency source. The receiver was still stabilized by a GPSDO. I see some similar-magnitude frequency jumps here (note change in vertical scale). Also some frequency drifts is seen between some of the jumps, consistent with frequency drift in the test data submitted previously. I presume the jumps are due to the frequency calibration jumps in the K3's local oscillator. As best I can tell, the frequency of the K3 in the locked mode is determined by measurement of the frequency of an external 10 MHz oscillator, which is then used to calculate a correction to the tuned frequency of the radio. The jumps of a fraction of a Hz are consistent with the stated frequency accuracy of the radio when locked to a good reference (eg., the GPSDO used).
DOI: 10.18112/openneuro.ds002013.v1.0.2
title: StimDisc
DOI: 10.17632/ghycgngm8m.1
title: Data for: Primary particulate matter emissions and secondary organic aerosol formation potential from the exhaust of a China V diesel engine
DOI: 10.21421/d2/taz42d
title: test

description: test
DOI: 10.14457/cu.the.2009.2087
title: การปรับโฟรไฟล์สืบค้นให้เป็นส่วนบุคคลด้วยวิธีเสาะหาแบบมด

description: ในปัจจุบันนี้ข้อมูลข่าวสารและผู้ใช้งานบนอินเตอร์เน็ต เพิ่มจำนวนขึ้นอย่างรวดเร็วด้วยเหตุนี้วิธีการในการนำข้อมูลข่าวสารมาเสนอแก่ผู้ใช้งานจึงมีเพิ่มมากขึ้นแต่อย่างไรก็ตามยัง คงเป็นเรื่องยากที่ผู้ใช้งานจะสามารถสืบค้นข้อมูลข่าวสารที่ตรงกับความต้องการของผู้ใช้งานได้ อย่างรวดเร็วทั้งนี้เนื่องมาจากผู้ใช้งานแต่ละคน มีความชอบและความสนใจที่แตกต่างกัน ถึงแม้ว่าผู้ใช้งานแต่ละคนจะใช้คำในการค้นหาคำเดียวกันสาเหตุสำคัญของปัญหานี้คือผลลัพธ์ ที่ได้จากการ สืบค้นข้อมูลข่าวสารของผู้ใช้งานแต่ละคนที่ใช้คำในการค้นหาคำเดียวกัน เหมือนกันด้วยเหตุนี้ผู้ใช้งานจึงต้องเสียเวลาในการพิจารณาผลลัพธ์แต่ละอันว่าผลลัพธ์อันไหน ที่ตรงกับความต้องการของผู้ใช้งานมากที่สุด วิทยานิพนธ์ฉบับนี้นำเสนอการปรับโฟรไฟล์สืบค้นให้เป็นส่วนบุคคลโดยผลลัพธ์ที่ได้ จากการสืบค้นจะตรงกับความต้องการของผู้ใช้มากที่สุด จุดมุ่งหมายของวิทยานิพนธ์ฉบับนี้คือ เสนอกระบวนการวิเคราะห์และวิธีการที่ทำให้ ผลลัพธ์ที่ได้จากการสืบค้น ตรงกับความต้องการของผู้ใช้งานมากที่สุดโดยได้รับแรงบัลดาลใจ มาจากพฤติกรรมการหาอาหารของมด ขั้นตอนแรกคือการสร้างโฟรไฟล์ของผู้ใช้งาน โดยเก็บข้อมูลมาจากกิจกรรมของผู้ใช้งาน และนำมาวิเคราะห์ว่ามีใช้งานมีความสนใจ ในหัวข้ออะไรมากที่สุดโดยเลียนแบบพฤติกรรมการหาอาหารของมด ขั้นตอนที่สองคือการจัด หมวดหมู่ของข้อมูลที่ได้รับมาจากขั้นตอนแรก และขั้นตอนสุดท้ายคือนำข้อมูลที่ได้รับการ วิเคาระห์และจัดหมวดหมู่แล้วมาช่วยในการสืบค้นของผู้ใช้งาน ในส่วนของการทดลองนั้น จะพิจารณาผลลัพธ์ที่ได้ว่าตรงกับความต้องการของผู้ใช้งานมากเท่าไร จากผลลการทดลอง พบว่ากระบวนการข้างต้นช่วยเพิ่มผลลัพธ์ที่ตรงกับความต้องการของผู้ใช้งาน
DOI: 10.34740/kaggle/dsv/5048461
title: NBA player status 2003-2023 (2.3K+ data)
DOI: 10.34740/kaggle/dsv/5048942
title: Elon Musk Tweets
DOI: 10.5517/ccdc.csd.cc1zsn6m
title: CCDC 1840941: Experimental Crystal Structure Determination

description: Related Article: Jinhao Zhang, Bo Jin, Rufang Peng, Chunhuan Niu, Lipengcheng Xiao, Zhicheng Guo, Qingchun Zhang|2019|Dalton Trans.|48|11848|doi:10.1039/C9DT02334H
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: 10.5281/zenodo.7669243
title: 2023/02/22 SCExAO/VAMPIRES Polarization Calibration Difference Images

description: Polarization calibration data taken on 2023/02/22 (UT) for SCExAO/VAMPIRES. Data have been processed using the VAMPIRES Data Processing Pipeline (Lucas et al,, 2023 in prep). Included README describes experiment design and data outputs.
DOI: 10.5281/zenodo.7669242
title: 2023/02/22 SCExAO/VAMPIRES Polarization Calibration Difference Images

description: Polarization calibration data taken on 2023/02/22 (UT) for SCExAO/VAMPIRES. Data have been processed using the VAMPIRES Data Processing Pipeline (Lucas et al,, 2023 in prep). Included README describes experiment design and data outputs.
DOI: 10.5281/zenodo.3907400
title: The ExaMode Ontology (colon cancer version)

description: The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal is to build predictive algorithms to help pathologists in the diagnosis of cancer cases. The starting point of ExaMode are medical diagnostic reports associated with WSIs of examined tissues. The present ontology models the diagnostic reports associated with a (series of) WSI and enable a structured encoding of the main concepts of a diagnosis. These concepts and their relations can be used to automatically annotate WSI as well as to do some reasoning over diagnostic reports about colon cancer.
DOI: 10.5281/zenodo.4081387
title: The ExaMode Ontology (full version)

description: The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal is to build predictive algorithms to help pathologists in the diagnosis of cancer cases. The starting point of ExaMode are medical diagnostic reports associated with WSIs of examined tissues. The present ontology models the diagnostic reports associated with a (series of) WSI and enable a structured encoding of the main concepts of a diagnosis. These concepts and their relations can be used to automatically annotate WSI as well as to do some reasoning over diagnostic reports about the cervix, colon and lung cancer, and celiac disease. The full documentation is available here: http://examode.dei.unipd.it/ontology/
DOI: 10.5281/zenodo.3907399
title: The ExaMode Ontology (full version, v.2)

description: The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal is to build predictive algorithms to help pathologists in the diagnosis of cancer cases. The starting point of ExaMode are medical diagnostic reports associated with WSIs of examined tissues. The present ontology models the diagnostic reports associated with a (series of) WSI and enable a structured encoding of the main concepts of a diagnosis. These concepts and their relations can be used to automatically annotate WSI as well as to do some reasoning over diagnostic reports about the cervix, colon and lung cancer, and celiac disease. The full documentation is available here: http://examode.dei.unipd.it/ontology/
DOI: 10.5281/zenodo.7669237
title: The ExaMode Ontology (full version, v.2)

description: The goal of this document is to define an OWL 2 ontology for the ExaMode project whose overall goal is to build predictive algorithms to help pathologists in the diagnosis of cancer cases. The starting point of ExaMode are medical diagnostic reports associated with WSIs of examined tissues. The present ontology models the diagnostic reports associated with a (series of) WSI and enable a structured encoding of the main concepts of a diagnosis. These concepts and their relations can be used to automatically annotate WSI as well as to do some reasoning over diagnostic reports about the cervix, colon and lung cancer, and celiac disease. The full documentation is available here: http://examode.dei.unipd.it/ontology/
DOI: 10.5281/zenodo.7669241
title: Eindhoven - Carbon sequestration and air pollutants capture

description: Results of the i-Tree simulations of carbon sequestration, total amount of carbon stored in vegetation and air pollutants capture in three NBS locations in Eindhoven.
DOI: 10.5281/zenodo.7669240
title: Eindhoven - Carbon sequestration and air pollutants capture

description: Results of the i-Tree simulations of carbon sequestration, total amount of carbon stored in vegetation and air pollutants capture in three NBS locations in Eindhoven.
DOI: 10.34740/kaggle/dsv/5048694
title: Bangla Sign Language 40
DOI: 10.5281/zenodo.7669280
title: Eindhoven - Human comfort: Physiological Equivalent Temperature

description: Results of the measurements and evaluation of human comfort near NBS as evaluated by Physiological Equivalent Temperature in Eindhoven.
DOI: 10.5281/zenodo.7669279
title: Eindhoven - Human comfort: Physiological Equivalent Temperature

description: Results of the measurements and evaluation of human comfort near NBS as evaluated by Physiological Equivalent Temperature in Eindhoven.
DOI: 10.6084/m9.figshare.21500979.v1
title: Neurofeedback Tinnitus Dataset

description: This is the data set that all analyses for our study are based on.
DOI: 10.5281/zenodo.7669309
title: Eindhoven - Urban green space accessibility and distribution

description: Results of the evaluation of urban green space accessibility and distribution in Eindhoven.
DOI: 10.5281/zenodo.7669310
title: Eindhoven - Urban green space accessibility and distribution

description: Results of the evaluation of urban green space accessibility and distribution in Eindhoven.
DOI: 10.5281/zenodo.7669291
title: Eindhoven - Measured infiltration rate

description: Results of the infiltration rate measurements in NBS in Eindhoven.
DOI: 10.5281/zenodo.7669292
title: Eindhoven - Measured infiltration rate

description: Results of the infiltration rate measurements in NBS in Eindhoven.
DOI: 10.5281/zenodo.7669295
title: Laminated glass mapping data: Laminated glass recycling

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows information about the recycling of the laminated glass
DOI: 10.5281/zenodo.7669296
title: Laminated glass mapping data: Laminated glass recycling

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows information about the recycling of the laminated glass
DOI: 10.5281/zenodo.7669271
title: Laminated glass mapping data: Laminated glass collected and processed

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows the quantity of laminated glass collected and processed by the surveyed companies
DOI: 10.5281/zenodo.7669272
title: Laminated glass mapping data: Laminated glass collected and processed

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows the quantity of laminated glass collected and processed by the surveyed companies
DOI: 10.5281/zenodo.7669259
title: Laminated glass mapping data: Final destination of PVB

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows the final destination of the PVB of the surveyed companies
DOI: 10.5281/zenodo.7669260
title: Laminated glass mapping data: Final destination of PVB

description: Denuo in representation of FERVER (FERVER, the European Federation of Glass Recyclers) is responsible in the leading of the mapping of PVB. By developping an online survey with specific questions on the collection and proccessing of laminated glass from the construction and/or automotive sector, the aim is to give a clear illustration of the PVB waste from laminated glass all over Europe and its potential for recycling. In this context, this dataset shows the final destination of the PVB of the surveyed companies
DOI: 10.23708/2fybul
title: v2.2-beta1 version used for the publication data of TrEMOLO

description: This dataset is the locked software version used for the publication of TrEMOLO. It represents the v2.2-beta1 version
DOI: 10.5258/soton/d2478
title: Dataset in support of the Southampton Doctoral Thesis 'Exploring the psychoneurobiology of the placebo response in gambling, depressive, and anxiety disorders'
DOI: 10.6084/m9.figshare.19208850.v2
title: Consensus on mild asthma management: results of a modified Delphi study

description: In order to understand the role of regular controller inhaled corticosteroids (ICS) versus as-needed ICS-formoterol in managing mild asthma, we performed a modified Delphi procedure. Opinions from 16 respiratory experts to three surveys and during a virtual scientific workshop helped to develop final consensus statements (pre-defined as 70% agreement). Thirteen participants completed all rounds (response rate 81%). At the end of the procedure, there was final consensus on: regular daily ICS being the recommended treatment approach in mild persistent asthma, with better symptom control and robust long-term clinical data compared with as-needed ICS-formoterol (85%); to avoid noncompliance, frequently seen in mild asthma patients, regular ICS dosing should be accompanied by ongoing education on treatment adherence (100%); treatment aims should be targeting asthma control (92%) and reduction of exacerbation risk (85%). No consensus was reached on whether GINA or national guidelines most influence prescribing decisions. It is important to encourage patients to be adherent and to target both asthma control and exacerbation risk reduction. There is robust clinical evidence to support proactive regular dosing with ICS controller therapy plus as-needed short-acting beta-agonists for the management of patients with mild asthma. Supplemental data for this article is available online at https://doi.org/10.1080/02770903.2022.2034850 .