cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5959cj9h
title: MassIVE MSV000094055 - Jackrel Lab Microcosm Experiment - DOM Concentrated Samples - Prelim Upload - Full Upload once results files available
title: We tested whether home field advantage at inter- and intra-specific levels alters microbial carbon transformations, using a multi-factorial design with microcosms of freshwater submerged leaf litter from two species (Alder and Hemlock) exposed to 'home' or 'away' communities of microbes isolated from decomposing leaf litter, as well as controls with no microbial community added. For all 'home', 'away' and control conditions for each species we also had high or low oxygen treatments. Samples were taken at day 0, 154, 257 and 354 and extracted with solid phase columns and methanol to provide extracted metabolites.
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 8.04–7.95 (m, 2H), 7.80–7.73 (m, 2H), 6.20 (d, J = 1.0 Hz, 1H), 2.40 (s, 3H).
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000470.1
title: mass spectrometry (MS) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for mass spectrometry (MS)
 
 EI (m/z, 70 eV, 60 °C): 224 (18) [M]+, 130 (39), 103 (10), 102 (100), 75 (12), 66 (10).HRMS (C11H8N6): calcd 224.0810, found 224.0809.
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000596.3
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3352, 3133, 3104, 2995, 2921, 2851, 2472, 2387, 2357, 2259, 2230, 2118, 2050, 1919, 1792, 1677, 1605, 1579, 1545, 1511, 1475, 1449, 1434, 1378, 1315, 1298, 1271, 1238, 1207, 1180, 1147, 1120, 1111, 1081, 1057, 1030, 1016, 976, 956, 843, 812, 783, 724, 694, 677, 654, 622, 601, 575, 560, 547, 528, 517, 500, 473, 456, 404, 384 cm–1.
DOI: 10.14272/kiqbpexsazkvrr-uhfffaoysa-n/chmo0000596.2
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C11H8N6/c1-8-6-11(14-16-13)15-17(8)10-4-2-9(7-12)3-5-10/h2-6H,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.25345/c55d8nr6v
title: MassIVE MSV000094056 - Proteomic Biomarker and Aging Signatures for Aggressive Human Metaplastic and other Breast Cancer Subtypes isolated from FFPE Tissues
title: Breast cancer manifests as a disease intrinsically linked to aging and is highly heterogenous with multiple subtypes that distinctly influence patient outcomes and treatment strategies. We quantified proteins from patients with four different human breast cancer subtypes and disease-free control individuals to highlight potential therapeutic target proteins that may be involved in cancer progression. We quantified around 6,000 proteins (&gt;2 quantifiable peptides) extracted from Formalin-Fixed Paraffin-Embedded (FFPE) tissues. We observed significant changes in over 26 percent of proteins comparing each cancer subtype with healthy control tissues obtained from "reduction mammoplasty". Stringent statistical filters, including an absolute log2(FC)&gt;0.58 and q-value&lt;0.001, allowed us to deeply mine conserved and unique protein changes across four different human breast cancer subtypes, including metaplastic breast cancer (MBC). We discovered 576 proteins that were significantly altered in all breast cancer subtypes investigated, and many of these were previously observed in other chronic inflammation-associated cancers. Significant changes in extracellular matrix (ECM) and senescence-associated secretory phenotype (SASP) proteins highlight potential therapeutic targets for stromal reprogramming and interventions. The majority of small leucine-rich, desmosome and basement membrane proteins that are essential for the regulation of the ECM microenvironment were significantly down-regulated, including HSPG2, desmoplakin, lumican and the majority of collagens, except for upregulated Col12A1. We discovered that over 74 quantified SASP factors, including SERPINH1 and periostin, were significantly altered in breast cancers when compared to healthy tissue, revealing early aging signatures. Our findings demonstrate evident remodeling of the ECM and changes in SASP and aging markers in all breast cancer subtypes pointing towards potential therapeutic strategies. Focus on aggressive and understudied metaplastic breast cancer (MBC) revealed changes in the immune system and neutrophil-related proteins, with specific emphasis on eosinophil peroxidase (EPX) and myeloperoxidase (MPO). In summary, deep proteomic, digitalized profiles were uncovered from bio-banked FFPE tissues for rare MBC and other major breast cancer subtypes.
DOI: 10.14272/heqypjivzwenpl-zntnexazsa-n.1
title: C19H17N6
title: InChI=1S/C20H20N6/c1-3-25(15-18-7-5-4-6-8-18)24-22-20-13-16(2)26(23-20)19-11-9-17(14-21)10-12-19/h4-13H,3,15H2,1-2H3/b24-22+

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C20H20N6/c1-3-25(15-18-7-5-4-6-8-18)24-22-20-13-16(2)26(23-20)19-11-9-17(14-21)10-12-19/h4-13H,3,15H2,1-2H3/b24-22+, and canonical SMILES descriptor[cheminf_000007]: CCN(Cc1ccccc1)/N=N/c1nn(c(c1)C)c1ccc(cc1)C#N, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37976

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000591 | nuclear magnetic resonance spectroscopy (NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/heqypjivzwenpl-zntnexazsa-n/chmo0000591
title: nuclear magnetic resonance spectroscopy (NMR) ()
title: InChI=1S/C20H20N6/c1-3-25(15-18-7-5-4-6-8-18)24-22-20-13-16(2)26(23-20)19-11-9-17(14-21)10-12-19/h4-13H,3,15H2,1-2H3/b24-22+

description: dataset for nuclear magnetic resonance spectroscopy (NMR)
DOI: 10.21227/6ce0-ym62
title: FERE: Facial Emotion Recognition for e-Learning

description: Coming soon. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est la
DOI: 10.34740/kaggle/dsv/7600581
title: 2021 World Population (updated daily)
DOI: 10.5519/qd.v9k6yyb3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1649 records)
DOI: 10.34740/kaggle/dsv/7600595
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.25201160
title: D. tenuifolia_Trial_Climate Datalogger

description: Temperature, relative humidity and solar radiation of the rocket salad cultivation trials under water stress
DOI: 10.6084/m9.figshare.25201160.v1
title: Untitled Item

description: Temperature, relative humidity and solar radiation of the rocket salad cultivation trials under water stress
DOI: 10.6084/m9.figshare.25201058
title: Form-Performance coupling dataset-Beijing.csv

description: The "Form-Performance" coupled dataset for high-rise office towers in north China. The simulation adopts Beijing's EPW weather file.
DOI: 10.6084/m9.figshare.25201172
title: D. tenuifolia_Water Stress_F500Phenotyping

description: Traits essayed by PlantEye F500 multispectral 3D scanner (Phenospex, Heerlen, Netherlands). In the first colum is reported the unique barcode identified for each pot containing 5 plants. Date, day number and reference week are also reported. Treatments details as following: i) 100: Control; ii) 70: plants watered to 70% water holding capacity (30% of water than the control plants, 70); iii) 50: plants watered to 50% water holding capacity (50% of water than the control plants, 50); iv) 30: plants watered to 30% water holding capacity (70% of water than the control plants, 30)
DOI: 10.57992/nmrxiv.p59
title: Retinestatin, a Polyol Polyketide from a Termite Nest-Derived Streptomyces sp.
DOI: 10.57992/nmrxiv.p59.s391
title: Retinestatin_NMR deposit_240210
DOI: 10.57992/nmrxiv.p59.s391.d2008
title: Retinestatin_NMR deposit_240210[Retinestatin_800MHz_DMSO.jdx]
DOI: 10.57992/nmrxiv.p59.s391.d2009
title: Retinestatin_NMR deposit_240210[Retinestatin_800MHz_MEOD.jdx]
DOI: 10.34968/nims.1196
title: Original data for Fig.2.6(c), 3.1(a) and 3.4; Cylindorical mode, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1197
title: Original data for Fig.2.6(c), Unimodal mode, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1198
title: Original data for Fig.2.6(c), Unstable, in a NIMS Monograph titled "fiber fuse"
DOI: 10.6084/m9.figshare.25148357
title: Two decades of dune slack restoration in North Wales: Diversity, Community and Habitat Specialists - Dataset and analysis code

description: For the restoration scrub and trees were removed along with 10cm of nutrient rich topsoil to explose bare sand. Ten 2m x 2m quadrates were established and surveyed in subsequent years (surveyed between May and July in: 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2014, 2018, 2020, 2021 and 2022) to monitor botanical succession. These quadrats are referred to as "scraped" in the dataset which a comparable non-restored area was survery in 2022 as a point of comparision and referred to in the dataset as "unscraped".Species data was collated from all previous survey years as follows: individual quadrat and abundance data (the DOMIN scale, a 1 to 10 scale for abundance (Rodwell, 2006) was used in previous surveys) for 2006, 2007, 2008, 2018, 2020 and 2021 (termed ‘full survey years’); total species list only for 2009, 2010, 2011, 2013 and 2014. Due to the nature of the vegetation – short with numerous very small plants – distinguishing between some closely related species can be difficult. This is likely to have resulted in differences in professional opinion between different surveyors over the years. Data was cleaned to account for these potential differences and enable anaylsis (see paper appendix for the full specifics of what was done). To be able to analyse comparable data, the DOMIN scores from previous full survey year were converted to percentage values using the mid-point percentage value of each DOMIN grouping. Soil data was not collected as part of the previous surveys, therefore EIVs were used as a proxy measure to assess any changes in abiotic factors over time. Mean EIVs for light (L), moisture (F), reaction (R), nitrogen (N), and salt (S) (Hill et al., 1999) were calculated for all species on the total species list for all survey years to assess any changes in functional type over time. The EIV’s were not weighted as the species lists contained no abundance data.Processed data and R code for Indicator Species Analysis, NMDS and EIVs are also included.
DOI: 10.34968/nims.1199
title: Original data for Fig.3.8(a), acrylate coated fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.6084/m9.figshare.25201199
title: Model predictions and dataset statements.

description: The cognitive distortion dataset includes statements within the dataset and also encompasses the responses provided by the ChatPSY and GPT-4 model to these statements, along with their predictions.
DOI: 10.6084/m9.figshare.25201199.v1
title: Model predictions and dataset statements.

description: The cognitive distortion dataset includes statements within the dataset and also encompasses the responses provided by the ChatPSY and GPT-4 model to these statements, along with their predictions.
DOI: 10.34968/nims.1200
title: Original data for Fig.3.8(a), acrylate coated fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1201
title: Original data for Fig.3.8(a), bare fibers immersed in water, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1202
title: Original data for Fig.3.8(a) and (b), bare fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1203
title: Original data for Fig.3.8(a) and (b), bare fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1204
title: Original data for Fig.3.8(b), bare fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1205
title: Original data for Fig.3.9, bare fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1206
title: Original data for Fig.3.9, acrylate coated fibers, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1207
title: Fiber fuse propagation and voids left behind (overexposed)
DOI: 10.34968/nims.1208
title: Fiber fuse propagation
DOI: 10.34968/nims.1209
title: Fiber fuse ignition
DOI: 10.6084/m9.figshare.25201196
title: High-rise Office Tower precedents data-73 cases

description: As precedents study, 73 towers with a single central core were selected. Data, including building height, number of floors, standard floor area, and core area, were collected to estimate the mathematical correlations among various parameters and to generate thermal zoning for latter performance simulations.
DOI: 10.6084/m9.figshare.25201196.v1
title: High-rise Office Tower precedents data-73 cases

description: As precedents study, 73 towers with a single central core were selected. Data, including building height, number of floors, standard floor area, and core area, were collected to estimate the mathematical correlations among various parameters and to generate thermal zoning for latter performance simulations.
DOI: 10.34740/kaggle/dsv/7600830
title: COVID Vaccination in World (updated daily)
DOI: 10.34968/nims.1210
title: Fiber fuse propagation in unstable mode.
DOI: 10.34968/nims.1211
title: Animation of fiber fuse damage.
DOI: 10.34968/nims.1212
title: Fiber fuse damage in the optical fibers called TrueWave RS, OFS
DOI: 10.34968/nims.1213
title: Fiber fuse damage in the optical fibers called LEAF, Corning
DOI: 10.34968/nims.1214
title: Original data for Fig.2.6(a) and (b), Cylindorical mode, in a NIMS Monograph titled "fiber fuse"
DOI: 10.34968/nims.1215
title: Fiber fuse, a tiny commet
DOI: 10.34968/nims.1216
title: Fiber fuse ignition and propagation.
DOI: 10.34968/nims.1217
title: Fiber fuse self-termination in unstable mode
DOI: 10.34968/nims.1218
title: Ultra-slow fuse propagation in polymer optical fiber
DOI: 10.34968/nims.1219
title: Photographs of deformed areas after fiber fuse ignition
DOI: 10.34968/nims.1220
title: Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
DOI: 10.34968/nims.1221
title: フラーレンナノウィスカー
DOI: 10.34968/nims.1222
title: READS Experimental Procedure
DOI: 10.34968/nims.1223
title: Cesium adsorption by zeolites
DOI: 10.34968/nims.1224
title: Cesium adsorption of layered silicates
DOI: 10.34968/nims.1225
title: Cesium adsorption by other adsorbents
DOI: 10.34968/nims.1226
title: Strontium adsorption by layered silicates
DOI: 10.34968/nims.1227
title: Strontium adsorption by zeolites
DOI: 10.34968/nims.1228
title: Strontium adsorption by other adsorbents
DOI: 10.34968/nims.1229
title: Iodine adsorption by layered double hydroxides
DOI: 10.34968/nims.1230
title: Iodine adsorption by mesoporous materials
DOI: 10.34968/nims.1231
title: Iodine adsorption by other adsorbents
DOI: 10.34968/nims.1232
title: Data set used for the article Nonequilibrium magnetic response of anisotropic superparamagnetic nanoparticles and possible artifacts in magnetic particle imaging on PLOS ONE
DOI: 10.34968/nims.1304
title: Blog-based research notebook for personal knowledge management and bottom-up knowledge sharing
DOI: 10.34968/nims.1306
title: A Web-Portal as a Materials Science Research Network
DOI: 10.34968/nims.1307
title: 光がモノを壊す時代 −光ファイバ内バブル生成と光ヒューズの話−
DOI: 10.34968/nims.1309
title: 研究者が使いたくなるリポジトリの機能とは？
DOI: 10.34968/nims.1310
title: デジタルライブラリー、その先に見えるもの
DOI: 10.34968/nims.1311
title: How we pave the way of NIMS eSciDoc? --A user's opinion
DOI: 10.34968/nims.1312
title: 研究活動への「思い入れ」を発信するセルフアーカイビング
DOI: 10.34968/nims.1313
title: Publish your joy of research activities through self-archiving
DOI: 10.34968/nims.1314
title: だからセルフアーカイビングはやめられない！
DOI: 10.34968/nims.1315
title: My joy of self-archiving
DOI: 10.34968/nims.1316
title: 材料研究の知識アーカイブと社会還元
DOI: 10.34968/nims.1320
title: NIMS eSciDoc: A Subject Repository in Materials Science and Its Applications Towards eScience
DOI: 10.34968/nims.1323
title: 研究業績のセルフアピール: Webサービス活用案
DOI: 10.34968/nims.1325
title: まだ見ぬe-Science、主役を舞台に載せるためには？
DOI: 10.34968/nims.1326
title: Why do I self-archive my articles? Because my readers are there.
DOI: 10.34968/nims.1327
title: E-Science Experiences at NIMS eSciDoc : Self Archiving of Profiled Experimental Data
DOI: 10.34968/nims.1328
title: View from the front line: what do librarians want?
DOI: 10.34968/nims.1333
title: 研究所における図書館の役割－脱図書館の今
DOI: 10.34968/nims.1334
title: Collaboration of Scholarly Communication -Advancing libraries in Japan
DOI: 10.34968/nims.1335
title: SAMURI Project: NIMS eSciDoc Digital Library
DOI: 10.34968/nims.1336
title: ORCID活用と提案－著者名の同定という共通課題を克服するために
DOI: 10.34968/nims.1337
title: 機関リポジトリ : わたしを眠らせない7つの難問、研究者を怒らせる7つの難問
DOI: 10.34968/nims.1338
title: NIMS eSciDocからSAMURAI，その先のサービス展開
DOI: 10.34968/nims.1339
title: 研究者個人のアウトリーチ活動を支援するセルフアーカイブ環境
DOI: 10.34968/nims.1340
title: PubMan and Imeji: Self-archiving platform for researchers' outreach activities
DOI: 10.34968/nims.1341
title: 物質・材料研究機構におけるNext-L Enjuの採用，導入と今後
DOI: 10.34968/nims.1342
title: ビッグディールからの脱却の試み－窮途末路の図書館の明日は
DOI: 10.34968/nims.1343
title: 物質・材料研究機構（NIMS）の事例 研究者総覧SAMURAIにおける研究者IDと外部連携
DOI: 10.34968/nims.1344
title: NIMS材料科学図書館の電子リソース管理
DOI: 10.34968/nims.1345
title: 日本の学術情報流通への3つの提言
DOI: 10.34968/nims.1346
title: ORCID de Ninja project
DOI: 10.34968/nims.1347
title: オープンサイエンスと論⽂著作権
DOI: 10.34968/nims.1348
title: 材料科学におけるID～NIMSにおけるPersistent identifiers適用方針と利用戦略～
DOI: 10.34968/nims.1349
title: 研究データ利活用に向けたデータマネジメントポリシー～研究機関における事例～
DOI: 10.34968/nims.1350
title: 研究データ管理を考える（研究データ利活用協議会DMP小委員会）
DOI: 10.34968/nims.1351
title: テキストマイニングXML論文の整理
DOI: 10.34968/nims.1352
title: 材料データ分野からセキュリティ技術に対するニーズ
DOI: 10.34968/nims.1353
title: 物質・材料研究におけるテキストデータマイニング：効率的文献データ利活用
DOI: 10.34968/nims.1354
title: マテリアルズ・インフォマティクスのためのデータ駆動型リポジトリ構築に向けて
DOI: 10.34968/nims.1355
title: NIMSの材料データプラットフォームー研究機関におけるデータのオープン化
DOI: 10.34968/nims.1356
title: 材料科学分野でのデータ利活用 「データプラットフォーム」という取り組み
DOI: 10.34968/nims.1357
title: Materials Data Repository
DOI: 10.34968/nims.1358
title: 物質・材料研究機構における研究データ管理に向けた取り組み
DOI: 10.34968/nims.1359
title: 材料データリポジトリにおける共通メタデータ・分野別メタデータ
DOI: 10.34968/nims.1360
title: Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
DOI: 10.34968/nims.1361
title: Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
DOI: 10.34968/nims.1363
title: ファイバヒューズと光ヒューズ―壊れるファイバあれば護るファイバあり
DOI: 10.34968/nims.1364
title: Preparation and Photoluminescence Characterizations of Eu3+-doped Oxide Nanosheets
DOI: 10.34968/nims.1365
title: Development of UHV scanning probe microscope with external stress and strain application
DOI: 10.34968/nims.1366
title: tq : A Comprehensive Disciplinary Language for Materials Science
DOI: 10.34968/nims.1429
title: Examples of SQS (special quasirandom structure) models for arbitrary binary bcc (body centered cubic) and hcp (hexagonal close packed) structures
DOI: 10.34968/nims.1434
title: First-principles calculations of optical constants

description: The energy loss function (ELF) describes the interaction between electrons and matter in solids. It is essential for understanding quantitative surface analyses such as Auger electron and X-ray photoelectron spectroscopy. The optical constant and ELF, however, are unknown for most materials in the 20–50 eV energy range, where electron–solid interactions are strong, owing to experimental difficulties. We calculate and make a database of ELFs and optical constants using optical data of 35 inorganic semiconductors in a wide energy range (0.1 eV – 1 MeV) using first-principles calculations with FEFF and WIEN2k. The calculated ELFs for GaAs and InSb agree very well with the available experimental data. We evaluate the resulting 35 ELFs with two sum rules, the f-sum rule and the Kramers–Kronig sum rule. Their mean absolute errors are 1.6% and 0.05%, respectively. All data can be obtained from the materials data repository provided by the National Institute for Materials Science.
description: density functional theory or electronic structure
DOI: 10.34968/nims.1435
title: Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Coded in Python
DOI: 10.6084/m9.figshare.25187999.v1
title: Model data for Fig.3

description: iTRACE simulated SST, SAT and sea ice during the LGM, HS1 and the MH
DOI: 10.6084/m9.figshare.25187999
title: Model data for Fig.3

description: iTRACE simulated SST, SAT and sea ice during the LGM, HS1 and the MH
DOI: 10.6084/m9.figshare.25188002
title: Model data for Fig.4

description: iTRACE simulated AMOC, GMOT, GMSST and HSE
DOI: 10.6084/m9.figshare.25188002.v1
title: Model data for Fig.4

description: iTRACE simulated AMOC, GMOT, GMSST and HSE
DOI: 10.6084/m9.figshare.25187987
title: Model data for Fig.1

description: iTRACE simulated evolution of GMOT and GMSST in response to deglacial forcing.
DOI: 10.6084/m9.figshare.25187987.v1
title: Model data for Fig.1

description: iTRACE simulated evolution of GMOT and GMSST in response to deglacial forcing.
DOI: 10.6084/m9.figshare.25187996
title: Model data for Fig.2

description: iTRACE simulated subsurface ocean temperature and the AMOC during the LGM, HS1 and the MH
DOI: 10.6084/m9.figshare.25187996.v1
title: Model data for Fig.2

description: iTRACE simulated subsurface ocean temperature and the AMOC during the LGM, HS1 and the MH
DOI: 10.7910/dvn/uapqgo
title: Operación óptima de desalación de agua por ósmosis inversa

description: Se ha puesto en marcha una planta piloto para realizar experiencias de desalación de agua con el objetivo de determinar condiciones óptimas de operación. Adicionalmente, se han desarrollado modelos de optimización económica para este tipo de plantas. Se trata de un proceso de ósmosis inversa: se aplica una presión desde el exterior a la disolución concentrada, superior a su presión osmótica natural; se origina un flujo del disolvente y se produce una concentración de solutos y, como consecuencia, la desionización del agua