cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/pr00005764.1
title: Available IPD datapackage for study 'A Multi-center, Randomized, Blinded, Parallel-group Study of the Reduction of Signs and Symptoms During Monotherapy Treatment With Tocilizumab 8 mg/kg Intravenously Versus Adalimumab 40 mg Subcutaneously in Patients With Rheumatoid Arthritis'

description: This randomized, blinded, parallel arm study evaluated the efficacy and safety of tocilizumab (RoActemra/Actemra) versus adalimumab as monotherapy in patients with rheumatoid arthritis who are intolerant of methotrexate or where continued treatment with methotrexate was considered inappropriate. Patients were randomized to receive either tocilizumab 8 mg/kg intravenously (iv) every 4 weeks plus placebo subcutaneously (sc) every 2 weeks, or adalimumab 40 mg sc every 2 weeks plus placebo iv every 4 weeks. Treatment was anticipated to last 24 weeks. With regard to the blind, the study nurse was unblinded due to the nature of the treatment administration, but the investigator and the patient remained blinded.
DOI: 10.5281/zenodo.5940205
title: HARVIS Non Stabilized Assistant flight simulation parameters

description: This dataset regroups data from the test of the HARVIS Non Stabilised Approach assistant.<br> The experiment consisted in testing the assistant in realistic conditions in single pilot operations on an A320 research simulator.<br> The validation session with a participant was composed of 6 scenarios. 3 scenarios were played with the assistant support and 3 without it. <br> Pilots were seated in the left seat of the cockpit and were told to land on runway 25 of Paris Orly Airport. The Aircraft was positioned approximately at 7NM before runway threshold. <br> Initial conditions (A/C speed, position, flaps configuration, landing gear state, wind…) varied from one test to another impacting the difficulty of the approach. <br> Pilots were briefed about the meteorological situation on the approach before each test. <br> When ready, the test begun, and pilots had to manually control the A/C in Visual Meteorological Conditions with the objective to stabilize the A/C for landing. <br> The assistant provided alerting in case of diverging parameters and assisted the pilot in the go around decision-making at the stabilization gate (500ft above airport elevation).<br> The participants were told to stabilize the A/C before stabilization point. <br> At stabilization point, participants had to follow assistant’s order unless they thought the order inappropriate. 1 file is provided for each test: analysis_flight_parameters_P00X_SX_(No)Harvis.csv<br> Regroups the flight parameters recorded during each test. At each timestamp, each parameter have been analysed to see if there are within limits defined for the assistant.<br> Each file is identified by a participant number "P00X", a scenario number "SX". If the participant was assisted by the assistant, the file is tagged with "Harvis", if not, the file is with "NoHarvis" <br>
DOI: 10.5281/zenodo.5940204
title: HARVIS Non Stabilized Assistant flight simulation parameters

description: This dataset regroups data from the test of the HARVIS Non Stabilised Approach assistant.<br> The experiment consisted in testing the assistant in realistic conditions in single pilot operations on an A320 research simulator.<br> The validation session with a participant was composed of 6 scenarios. 3 scenarios were played with the assistant support and 3 without it. <br> Pilots were seated in the left seat of the cockpit and were told to land on runway 25 of Paris Orly Airport. The Aircraft was positioned approximately at 7NM before runway threshold. <br> Initial conditions (A/C speed, position, flaps configuration, landing gear state, wind…) varied from one test to another impacting the difficulty of the approach. <br> Pilots were briefed about the meteorological situation on the approach before each test. <br> When ready, the test begun, and pilots had to manually control the A/C in Visual Meteorological Conditions with the objective to stabilize the A/C for landing. <br> The assistant provided alerting in case of diverging parameters and assisted the pilot in the go around decision-making at the stabilization gate (500ft above airport elevation).<br> The participants were told to stabilize the A/C before stabilization point. <br> At stabilization point, participants had to follow assistant’s order unless they thought the order inappropriate. 1 file is provided for each test: analysis_flight_parameters_P00X_SX_(No)Harvis.csv<br> Regroups the flight parameters recorded during each test. At each timestamp, each parameter have been analysed to see if there are within limits defined for the assistant.<br> Each file is identified by a participant number "P00X", a scenario number "SX". If the participant was assisted by the assistant, the file is tagged with "Harvis", if not, the file is with "NoHarvis" <br>
DOI: 10.5517/ccdc.csd.cc231y6b
title: CCDC 1938281: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231y7c
title: CCDC 1938282: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231y8d
title: CCDC 1938283: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231ybg
title: CCDC 1938285: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231ych
title: CCDC 1938286: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231ydj
title: CCDC 1938287: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231yfk
title: CCDC 1938288: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231ygl
title: CCDC 1938289: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231yhm
title: CCDC 1938290: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc232sjj
title: CCDC 1939097: Experimental Crystal Structure Determination

description: Related Article: Shigeru Arai, Koki Matsumoto, Atsushi Nishida|2019|Tetrahedron|75|1145|doi:10.1016/j.tet.2018.12.031
description: Related Article: G.A. Senchyk, H. Krautscheid, K.V. Domasevitch|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1145|doi:10.1107/S2056989019009708
DOI: 10.25505/fiz.icsd.cc232v79
title: CSD 1939150: Experimental Crystal Structure Determination

description: Related Article: Fabian Eustermann, Frank Stegemann, Mathis Radzieowski, Oliver Janka|2019|Inorg.Chem.|58|16211|doi:10.1021/acs.inorgchem.9b02732
DOI: 10.25505/fiz.icsd.cc232v8b
title: CSD 1939151: Experimental Crystal Structure Determination

description: Related Article: Fabian Eustermann, Frank Stegemann, Mathis Radzieowski, Oliver Janka|2019|Inorg.Chem.|58|16211|doi:10.1021/acs.inorgchem.9b02732
DOI: 10.25505/fiz.icsd.cc232v9c
title: CSD 1939152: Experimental Crystal Structure Determination

description: Related Article: Fabian Eustermann, Frank Stegemann, Mathis Radzieowski, Oliver Janka|2019|Inorg.Chem.|58|16211|doi:10.1021/acs.inorgchem.9b02732
DOI: 10.25505/fiz.icsd.cc232vbd
title: CSD 1939153: Experimental Crystal Structure Determination

description: Related Article: Fabian Eustermann, Frank Stegemann, Mathis Radzieowski, Oliver Janka|2019|Inorg.Chem.|58|16211|doi:10.1021/acs.inorgchem.9b02732
DOI: 10.25505/fiz.icsd.cc232xy2
title: CSD 1939234: Experimental Crystal Structure Determination

description: Related Article: J. Louis–Jean, S. Mariappan Balasekaran, A. Hagenbach, F. Poineau|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1158|doi:10.1107/S2056989019009757
DOI: 10.34740/kaggle/dsv/3125185
title: Mahanagar Yatayat Dataset
DOI: 10.25505/fiz.icsd.cc2336xc
title: CSD 1939512: Experimental Crystal Structure Determination

description: Related Article: Ya-Qian Lan, Ning Li, Jiang Liu, Jing-Jing Liu, Long-Zhang Dong, Shun-Li Li, Bao-Xia Dong, Yu-He Kan|2019|Angew.Chem.,Int.Ed.|58|17260|doi:10.1002/anie.201910491
DOI: 10.5517/ccdc.csd.cc20pzl9
title: CCDC 1868171: Experimental Crystal Structure Determination

description: Related Article: L. Jansen van Vuuren, H.G. Visser, M. Schutte-Smith|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1128|doi:10.1107/S2056989019009502
description: Related Article: H. Ke, J.-Z. Liao, C.-Z. Lu|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1128|doi:10.1107/S2053229619009872
DOI: 10.5517/ccdc.csd.cc233pnl
title: CSD 1939969: Experimental Crystal Structure Determination

description: Related Article: Tadhg Mahon, Etienne Gaudin, Antoine Villesuzanne, Bernard Chevalier, Sophie Tencé|2019|Inorg.Chem.|58|15255|doi:10.1021/acs.inorgchem.9b02260
DOI: 10.5517/ccdc.csd.cc233ykr
title: CCDC 1940214: Experimental Crystal Structure Determination

description: Related Article: Michihiko Noguchi|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc231y15
title: CCDC 1938276: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231y48
title: CCDC 1938279: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.5517/ccdc.csd.cc231y9f
title: CCDC 1938284: Experimental Crystal Structure Determination

description: Related Article: Xiaokun Pei,  Hans-Beat Bürgi,  Eugene A. Kapustin,  Yuzhong Liu,  Omar M. Yaghi|2019|J.Am.Chem.Soc.|141|18862|doi:10.1021/jacs.9b10501
DOI: 10.25934/pr00005747.1
title: Available IPD datapackage for study 'Randomized Placebo-controlled Study of Two Treatment Strategies Based on Tocilizumab (TCZ) With or Without Methotrexate (MTX) and Possible Addition of Other Disease-modifying Anti-rheumatic Drugs (DMARDs) in Patients...'

description: This 2 arm study will compare 2 treatment strategies based on tocilizumab in combination with methotrexate or placebo in patients with moderate to severe rheumatoid arthritis. Patients receiving methotrexate treatment will be randomized to receive either a) tocilizumab 8 mg intravenous (iv) every 4 weeks + methotrexate orally (po) weekly or b) tocilizumab 8 mg iv every 4 weeks + placebo po weekly. After the first 24 weeks of blinded treatment, treatment adjustments (increase or decrease of treatment intensity) may be introduced at intervals, based on response. The anticipated time on study treatment is up to 3 years, and the target sample size is approximately 470 patients.
DOI: 10.5281/zenodo.5940242
title: Refitting pottery fragments from the Liang Abu rockshelter, Borneo

description: Liang Abu is an archaeological site in East Kalimantan, Indonesia. This dataset describes the relationships between pottery fragments found during excavations (2009-2012). Two types of relationships are defined. A <strong>connection</strong> relationship refers to a physical connection between two fragments that were part of the same object. A <strong>similarity</strong> relationship between fragments is defined if there is an acceptable likelihood that those fragments were part of the same object. The dataset is composed of three tables: <strong>relations-connection.csv</strong> (56x2): "connection" relationships between fragments. matrix. Each line describes a connection relationship between two fragments. There respective unique identifiers are given in column "frg_id1" and in column "frg_id2". <strong>relations-similarity.csv</strong> (47x2): "similarity" relationships between fragments. matrix. Column "frg_id" gives a fragment unique identifier, column "su_id" gives a unique identifier for the group of similar fragments it belongs to (similarity unit). <strong>fragments.csv</strong> (177x8): contextual information concerning each fragment, with the following columns: <em>frg_id</em>: unique fragment identifier <em>layer</em>: stratigraphic layer <em>zmin</em>: minimal depth in centimetres where the fragment was found <em>zmax</em>: maximal depth in centimetres where the fragment was found <em>square</em>: square where the fragment was found <em>sherd.type</em>: type of pottery sherd <em>thickness</em>: thickness of the fragments in millimetres <em>length</em>: length of the fragments in millimetres
description: {"references": ["Plutniak, Sebastien, Astolfo Araujo, Simon Puaud, Jean-Georges Ferrie, Adhi Agus Oktaviana, Bambang Sugiyanto, Jean-Michel Chazine et Francois-Xavier Ricaut. 2015. \"Borneo as a half empty pot: Pottery assemblage from Liang Abu, East Kalimantan, Quaternary International, doi: 10.1016/j.quaint.2015.11.080."]}
DOI: 10.6084/m9.figshare.15183495.v2
title: Kidney epigenome and transcriptome-based multi-stage prioritization defines core cell types, genes and targetable mechanisms for kidney disease

description: Summary statistic data of eGFRcrea GWAS, kidney eQTL and kidney mQTL data<br>Kidney mQTL mapping was performed based on genotype and DNA methylation data of kidney samples from 443 trans-ancestry individuals (79% are of European ancestry). The significance of the top associated variants per CpG was estimated by adaptive permutation in FastQTL using the covariates above and the setting “--permute 1000”. Beta distribution-adjusted empirical p-values from FastQTL were used to calculate q-values using Storey’s q method, and a false discovery rate (FDR) threshold of ≤0.01 was applied to identify CpGs with a significant mQTL. Totally, we identified 139,313 mCpGs and 13,771,378 significant SNP-mCpG pairs<br>eGFRcrea GWAS meta-analysis was performed in 1,508,659 trans-ancestry individuals (80% are of European ancestry) by integrating five GWAS studies. We identified 90,950 variants showing genome wide significant (p &lt; 5E-8) association with eGFRcrea.<br>Kidney eQTL meta-analysis was performed in 686 trans-ancestry individuals (72% are of European ancestry) by integrating four eQTL studies. To define eGenes, we used the Storey approach to calculate q values for all associations for each gene. With significant q value (&lt; 0.01), we identified 10,430 eGenes and 1,222,250 significant SNP-gene pairs.<br><br>
DOI: 10.25345/c5rc51
title: MassIVE MSV000088761 - BAAT knockout mouse metabolome
title: A collection of tissue and fecal samples from mice with a knockout in the Bile acid:amino acid N-acyl transferase gene (BAAT)
DOI: 10.17030/uclan.data.00000325
title: Exploring the Epistemology of cricket coaches working with developing athletes
DOI: 10.15151/esrf-es-682787911
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, National Research Council and Hospital research centres in Italy. The laboratories apply various diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth and polymer association and formation of nanostructures.
DOI: 10.25934/pr00005724.1
title: Available IPD datapackage for study 'A Mechanism of Action Study to Evaluate the Effects of IL-6 Receptor Blockade With Tocilizumab (TCZ) on Lipids, Arterial Stiffness, and Markers of Atherogenic Risk in Patients With Moderate to Severe Active Rheumatoid Arthritis (RA).'

description: This 2 arm study will investigate the effects of tocilizumab on lipids, arterial stiffness, and markers of atherogenic risk in patients with moderate to severe active rheumatoid arthritis. In Part 1 of the study, patients will be randomized to receive either tocilizumab 8mg/kg intravenously or placebo every 4 weeks, in combination with methotrexate 7.5-25 mg weekly. In Part 2, all patients will receive open-label treatment with tocilizumab plus methotrexate.
DOI: 10.5281/zenodo.5940207
title: Combined effects of insecticide and IGP on native and invasive ladybeetles in apple orchard

description: Raw data on the comparison of the combined effects of Rimon and IGP on two ladybeetle species
DOI: 10.5281/zenodo.5940206
title: Combined effects of insecticide and IGP on native and invasive ladybeetles in apple orchard

description: Raw data on the comparison of the combined effects of Rimon and IGP on two ladybeetle species
DOI: 10.6084/m9.figshare.12130980.v129
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.5281/zenodo.5940244
title: dataset related to article "Adverse Events in Neurosurgery: The Novel Therapy-Disability-Neurology Grade"

description: Dataset related to publication at title
DOI: 10.5281/zenodo.5940243
title: dataset related to article "Adverse Events in Neurosurgery: The Novel Therapy-Disability-Neurology Grade"

description: Dataset related to publication at title
DOI: 10.6084/m9.figshare.19103339
title: Datasets

description: Tiff files: Maps of Above Ground Biomass change (2019-2020) over the study region near Iñapari, Peru, derived from the texture of the NIR band for SPOT-7 (SPOT_DeltaAGB_Map), PlanetScope (PlanetScope_DeltaAGB_Map.tif) and Sentinel-2 (Sentinel2_DeltaAGB_Map.tif) data for a 1-ha resolution.<br>QML file contains the style for the biomass change maps. <br>Shapefile contains location of four selectively logged plots.<br>CSV file contains data on observed changes in these four plots, obtained by TLS and manual inventory.
DOI: 10.5285/ee87216e-0d84-47ba-8fe4-40565574665d
title: Microseismic source parameters from induced seismicity in the Horn River Basin (British Columbia)

description: This data set contains seismic source parameters (magnitudes, corner frequencies, stress drops and their associated uncertainty) for 94 microseismic events linked to fault reactivation during hydro-fracturing operations in the Horn River Basin (British Columbia). The data presented here were derived from proprietary third party seismic data recorded on 2 arrays of 35 - 15 Hz GEO-OMNI-2400 borehole geophones each. These data were first reported in Adam G Klinger, Maximilian J Werner, Stress drops of hydraulic fracturing induced microseismicity in the Horn River basin: challenges at high frequencies recorded by borehole geophones, Geophysical Journal International, Volume 228, Issue 3, March 2022, Pages 2018–2037, https://doi.org/10.1093/gji/ggab458
DOI: 10.25919/z7qj-8g93
title: Data from "Avoiding Data Loss: Synthetic MRIs Generated from Diffusion Imaging Can Replace Corrupted Structural Acquisitions For Freesurfer-Seeded Tractography"

description: These data are the HCP results for the manuscript "Avoiding Data Loss: Synthetic MRIs Generated from Diffusion Imaging Can Replace Corrupted Structural Acquisitions For Freesurfer-Seeded Tractography" appearing in Plos One. Please note that due to privacy concerns, data for the Hospital Datasets have not been made publicly available.
DOI: 10.5281/zenodo.5940370
title: Dataset related to article "Plasma Lipid Profiling Contributes to Untangle the Complexity of Moyamoya Arteriopathy"

description: DATABASE REPORTING CLINICAL, NEURORADIOLOGICAL, DEMOGRAPHICAL AND BIOLOGICAL (“OMICS”) ANONIMYZED DATA OF A SELECTED SUBGROUP OF PATIENTS AFFECTED BY MOYAMOYA ARTERIOPATHY
description: Study supported by Italian Ministry of Healt Grant Nr RF2019-12369247
DOI: 10.5281/zenodo.5940369
title: Dataset related to article "Plasma Lipid Profiling Contributes to Untangle the Complexity of Moyamoya Arteriopathy"

description: DATABASE REPORTING CLINICAL, NEURORADIOLOGICAL, DEMOGRAPHICAL AND BIOLOGICAL (“OMICS”) ANONIMYZED DATA OF A SELECTED SUBGROUP OF PATIENTS AFFECTED BY MOYAMOYA ARTERIOPATHY
description: Study supported by Italian Ministry of Healt Grant Nr RF2019-12369247
DOI: 10.5281/zenodo.401048
title: Catalogue of artefacts from the Nilgiri Hills

description: Catalogue of artefacts from the Nilgiri Hills, collection donated by James W. Breeks and Sir Walter Elliot.
description: Collection donated to the BM, slips prepared under the patronage of AWF. [data control: valorisationdespatrimoine@gmail.com]
DOI: 10.5519/qd.l6m50axq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13172 records)