cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-03.2766874/2322285
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2763959/2322286
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765247/2322287
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765671/2322288
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2766237/2322289
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764872/2322290
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765262/2322291
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764937/2322292
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765004/2322293
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2763968/2322294
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764888/2322295
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765679/2322296
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764997/2322297
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2763944/2322298
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765447/2322299
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2763798/2322300
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764615/2322301
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764601/2322302
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765164/2322303
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765113/2322304
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765580/2322305
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765861/2322306
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764727/2322307
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2763913/2322308
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764896/2322309
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764381/2322310
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765155/2322311
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765488/2322312
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764987/2322313
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765412/2322314
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764098/2322315
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764800/2322316
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765033/2322317
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765133/2322318
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765175/2322319
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765100/2322320
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2766927/2322321
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2765908/2322322
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2766026/2322323
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2766594/2322324
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2764553/2322325
title: Data for EMSL Project 50403 from March 2023
DOI: 10.25582/data.2024-03.3054836/2322326
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054825/2322327
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054830/2322328
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054835/2322329
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054826/2322330
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054832/2322331
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054840/2322332
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054834/2322333
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054837/2322334
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054838/2322335
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054828/2322336
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054842/2322337
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054827/2322338
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054824/2322339
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054833/2322340
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2024-03.3054831/2322341
title: Data for EMSL Project 60923 from March 2024
DOI: 10.25582/data.2023-03.2766753/2322342
title: Data for EMSL Project 50427 from March 2023
DOI: 10.25582/data.2023-03.2767259/2322349
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767281/2322350
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767258/2322351
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767242/2322352
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767303/2322353
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767290/2322354
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767292/2322355
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767271/2322356
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767302/2322357
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767188/2322358
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767250/2322359
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767299/2322360
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767251/2322361
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767269/2322362
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767267/2322363
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767301/2322364
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767285/2322365
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767293/2322366
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767252/2322367
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767352/2322368
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767268/2322369
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767305/2322370
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767263/2322371
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767261/2322372
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767294/2322373
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2767253/2322374
title: Data for EMSL Project 51287 from March 2023
DOI: 10.5439/2322386
title: TRAC Time Tags of individual particle samples collected for microscopy analysis at RMBL [AMF2] from June 2023 to August 2023

description: The dataset presents the time tags of individual particle samples collected on microscopy substrates during the Surface Atmosphere Integrated Field Laboratory (SAIL) campaign in Gothic, CO. A Time Resolved Aerosol Collector was deployed at the Rocky Mountain Biological Laboratory, 200 m north of AMF2 to collect ambient particles. The instrument inlet was placed 5 m above ground level. Particles are deposited on 400 mesh copper carbon-B film TEM grids (Ted Pella 01814-F). Samples are sealed and currently stored at Purdue University. A subset of the samples can be shared. Please contact dataset authors for more information. The dataset reports the sample start times in UTC and MST along with the sample ID, used to guide its location and retrieval from the storage plate. TRAC sampling started on June 17, 2023, and ended on July 31, 2023.
DOI: 10.5281/zenodo.10370830
title: Fine-detailed coastal aquaculture pond dataset in China and Southeast Asia in 2020 at a 30 m resolution

description: We generate the inaugural map depicting the changes in aquaculture pond coverage across the coastal regions both of China and Southeast Asia, the hotspot of global aquaculture industry, in 2020 with fine spatial detail by utilizing the long time-series Landsat archive with an object-oriented hierarchical classification method.
DOI: 10.5281/zenodo.10602747
title: Frequency-comb-linearized, widely tunable lasers for coherent ranging

description: This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.
DOI: 10.5281/zenodo.10602748
title: Frequency-comb-linearized, widely tunable lasers for coherent ranging

description: This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.
DOI: 10.6084/m9.figshare.25388419
title: data.dta

description: 2000-2019 Chinese patent and citation data from USPTO, by year by province
DOI: 10.5066/p13jsgau
title: Enhanced Terrain Imagery of the Bluefield 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

description: This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Bluefield 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2022. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
DOI: 10.5281/zenodo.10803801
title: A wideband, high-resolution vector spectrum analyzer for integrated photonics

description: This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.
DOI: 10.5281/zenodo.10803802
title: A wideband, high-resolution vector spectrum analyzer for integrated photonics

description: This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.
DOI: 10.26179/2h1v-ct74
title: Polar Bird Voyage 7 2002-2003 Underway Data
DOI: 10.5281/zenodo.10806856
title: Data and Codes for "Non-local transport measurements in hybrid quantum Hall - superconducting devices"

description: Datasets and processing code for reproduction of "Non-local transport measurements in hybrid quantum Hall - superconducting devices".
description: Development of the theoretical expressions and data analysis by L.Z., and G.F., and transport measurements by L.Z. and T.L. were sup- ported by the Division of Materials Sciences and Engineering, Office of Basic Energy Sciences, U.S. Department of Energy, under Award No. DE-SC0002765. Sample fabrication and characterization by L.Z., and E.A. were supported by NSF award DMR-2004870. The deposition of MoRe performed by F.A. was supported by a URC grant at Appalachian State University. K.W. and T.T. acknowledge support from the Elemental Strategy Initiative conducted by the MEXT, Japan, (grant no. JPMXP0112101001), JSPS KAKENHI (grant no. JP20H00354) and CREST (no. JPMJCR15F3, JST). The sample fabrication was performed in part at the Duke University Shared Materials Instrumentation Facility (SMIF), a member of the North Carolina Research Triangle Nanotechnology Network (RTNN), which is supported by the National Science Foundation (Grant ECCS-1542015) as part of the National Nanotechnology Coordinated Infrastructure (NNCI).
DOI: 10.5281/zenodo.10806857
title: Data and Codes for "Non-local transport measurements in hybrid quantum Hall - superconducting devices"

description: Datasets and processing code for reproduction of "Non-local transport measurements in hybrid quantum Hall - superconducting devices".
description: Development of the theoretical expressions and data analysis by L.Z., and G.F., and transport measurements by L.Z. and T.L. were sup- ported by the Division of Materials Sciences and Engineering, Office of Basic Energy Sciences, U.S. Department of Energy, under Award No. DE-SC0002765. Sample fabrication and characterization by L.Z., and E.A. were supported by NSF award DMR-2004870. The deposition of MoRe performed by F.A. was supported by a URC grant at Appalachian State University. K.W. and T.T. acknowledge support from the Elemental Strategy Initiative conducted by the MEXT, Japan, (grant no. JPMXP0112101001), JSPS KAKENHI (grant no. JP20H00354) and CREST (no. JPMJCR15F3, JST). The sample fabrication was performed in part at the Duke University Shared Materials Instrumentation Facility (SMIF), a member of the North Carolina Research Triangle Nanotechnology Network (RTNN), which is supported by the National Science Foundation (Grant ECCS-1542015) as part of the National Nanotechnology Coordinated Infrastructure (NNCI).
DOI: 10.5281/zenodo.10516015
title: Divergence impacts of incorporating MODIS clumping index to terrestrial gross primary production models on canopy light environment
DOI: 10.5281/zenodo.10516016
title: Divergence impacts of incorporating MODIS clumping index to terrestrial gross primary production models on canopy light environment
DOI: 10.26179/hrkj-qp66
title: Aurora Australis Voyage 1 2003-2004 Underway Data
DOI: 10.6084/m9.figshare.25378609
title: <b>Iron-associated organic carbon as a major carbon sink in permafrost-affected peatlands of Northeast China</b>

description: Permafrost peatlands are essential terrestrial reservoir of organic carbon with high sensitivity for climate change. The binding of iron minerals to soils carbon is the dominant protection mechanism in carbon storage, however, there have been limited studies on iron-associated organic carbon (Fe-OC) in these carbon-rich peatland ecosystems. Here, we conduct a field survey on permafrost- and non-permafrost peatlands in Northeast China, and employ both large-scale comparisons across major terrestrial ecosystems. We find that permafrost peatlands in anoxic environment contain near 5-fold higher Fe-OC abundance than non-permafrost peatlands. From oxic to anoxic gradients, Fe-OC associations in peatlands decreases precipitously, but the presence of permafrost mitigates the loss of above carbon pool. Taking this together, we suggest a major carbon sink of Fe-OC in permafrost-affected peatlands and iron minerals as ‘OC protectors’ may greatly boosts the rusty carbon sink in cryogenic ecosystems under climate change.
DOI: 10.6084/m9.figshare.25378609.v2
title: <b>Iron-associated organic carbon as a major carbon sink in permafrost-affected peatlands of Northeast China</b>

description: Permafrost peatlands are essential terrestrial reservoir of organic carbon with high sensitivity for climate change. The binding of iron minerals to soils carbon is the dominant protection mechanism in carbon storage, however, there have been limited studies on iron-associated organic carbon (Fe-OC) in these carbon-rich peatland ecosystems. Here, we conduct a field survey on permafrost- and non-permafrost peatlands in Northeast China, and employ both large-scale comparisons across major terrestrial ecosystems. We find that permafrost peatlands in anoxic environment contain near 5-fold higher Fe-OC abundance than non-permafrost peatlands. From oxic to anoxic gradients, Fe-OC associations in peatlands decreases precipitously, but the presence of permafrost mitigates the loss of above carbon pool. Taking this together, we suggest a major carbon sink of Fe-OC in permafrost-affected peatlands and iron minerals as ‘OC protectors’ may greatly boosts the rusty carbon sink in cryogenic ecosystems under climate change.
DOI: 10.6084/m9.figshare.25378609.v1
title: <b>Iron-associated organic carbon </b>of terristrial ecosystem comparision and FARAFAC raw data

description: Permafrost peatlands are essential terrestrial reservoir of organic carbon with high sensitivity for climate change. The binding of iron minerals to soils carbon is the dominant protection mechanism in carbon storage, however, there have been limited studies on iron-associated organic carbon (Fe-OC) in these carbon-rich peatland ecosystems. Here, we conduct a field survey on permafrost- and non-permafrost peatlands in Northeast China, and employ both large-scale comparisons across major terrestrial ecosystems. We find that permafrost peatlands in anoxic environment contain near 5-fold higher Fe-OC abundance than non-permafrost peatlands. From oxic to anoxic gradients, Fe-OC associations in peatlands decreases precipitously, but the presence of permafrost mitigates the loss of above carbon pool. Taking this together, we suggest a major carbon sink of Fe-OC in permafrost-affected peatlands and iron minerals as ‘OC protectors’ may greatly boosts the rusty carbon sink in cryogenic ecosystems under climate change.
DOI: 10.6084/m9.figshare.24669363
title: <b>Chromosome-level genome assembly and characterization of the </b><b><i>Calophaca sinica</i></b><b> genome</b>

description: Calophaca sinica is a rare plant endemic to northern China which belongs to the Fabaceae family and possesses rich nutritional value. To support the preservation of the genetic resources of this plant, we have successfully generated a high-quality genome of C. sinica (1.06 Gb).
DOI: 10.26179/y30s-r272
title: Aurora Australis Voyage 1 2003-04 Raw Data
DOI: 10.6084/m9.figshare.25329574
title: Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes

description: <br>Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes<br>
DOI: 10.6084/m9.figshare.25329574.v1
title: Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes

description: <br>Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes<br>
DOI: 10.6084/m9.figshare.25329574.v2
title: Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes

description: <br>Supplementary Material for Partitioning of tin between mafic minerals, Fe-Ti oxides and silicate melts: Implications for tin enrichment in magmatic processes<br>
DOI: 10.5519/qd.ettzmuai
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.25388476
title: 20-/200-MFW.xlsx

description: The 20-/200-MFW used in the multivariate analysis of Eileen Chang’s stylistic multiverse
DOI: 10.6084/m9.figshare.25388476.v1
title: 20-/200-MFW.xlsx

description: The 20-/200-MFW used in the multivariate analysis of Eileen Chang’s stylistic multiverse
DOI: 10.26179/qm8b-vw21
title: Aurora Australis Voyage 2 2003-2004 Underway Data
DOI: 10.17909/3c1d-6182
title: Data from Imaging of I Zw 18 by JWST: I. Strategy and First Results of Dusty Stellar Populations

description: We present a James Webb Space Telescope (JWST) imaging survey of I Zw 18, the archetypal extremely metal-poor, star-forming, blue compact dwarf galaxy.
With an oxygen abundance of only ~3% Z_solar, it is among the lowest-metallicity systems known in the local universe, and is therefore an excellent accessible analog for the galactic building blocks which existed at early epochs of ionization and star formation. These JWST data provide a comprehensive infrared (IR) view of I Zw 18 with four filters each of both NIRCam (F115W, F200W, F356W, and F444W) and MIRI (F770W, F1000W, F1500W, and F1800W) photometry, which we have used to identify key stellar populations that are bright in the near-IR.
These data allow for a better understanding of the origins of dust and dust-production mechanisms in metal-poor environments by way of characterizing the population of massive, evolved stars in the red supergiant (RSG) and asymptotic giant branch (AGB) phases.
In addition, it enables the identification of the brightest dust-enshrouded young stellar objects (YSOs), which provide insight into the formation of massive stars at extremely low metallicities typical of the very early universe.
This paper provides an overview of the observational strategy and data processing, and presents first science results, including identifications of dusty AGB star, RSG, and bright YSO candidates.
These first results assess the scientific quality of JWST data and provide a guide for obtaining and interpreting future observations of the dusty and evolved stars inhabiting compact dwarf star-forming galaxies in the local universe.
DOI: 10.26179/q6k4-ap62
title: Aurora Australis Voyage 4 2003-2004 Underway Data
DOI: 10.6084/m9.figshare.25388512
title: Source Data-Redox-neutral electrochemical decontamination of hypersaline wastewater with high technology readiness level.

description: Source Data-Redox-neutral electrochemical decontamination of hypersaline wastewater with high technology readiness level.
DOI: 10.6084/m9.figshare.25388512.v1
title: Source Data-Redox-neutral electrochemical decontamination of hypersaline wastewater with high technology readiness level.

description: Source Data-Redox-neutral electrochemical decontamination of hypersaline wastewater with high technology readiness level.
DOI: 10.26179/k7f2-x504
title: Aurora Australis Voyage V7 2003/04 Track and Underway Data
DOI: 10.6084/m9.figshare.25346146
title: PCOSFMT

description: Dysbiosis of the microbiome is a key hallmark of polycystic ovary syndrome (PCOS). However, the interaction between the host and microbiome and its relevance with the pathogenesis of PCOS remains unclear. To evaluate the role of commensal gut microbiome in PCOS, we gavaged germ free mice with the fecal microbiota from patients with PCOS or healthy individuals, and evaluated PCOS phenotype in the recipient mice.
DOI: 10.6084/m9.figshare.25346146.v2
title: PCOSFMT

description: Dysbiosis of the microbiome is a key hallmark of polycystic ovary syndrome (PCOS). However, the interaction between the host and microbiome and its relevance with the pathogenesis of PCOS remains unclear. To evaluate the role of commensal gut microbiome in PCOS, we gavaged germ free mice with the fecal microbiota from patients with PCOS or healthy individuals, and evaluated PCOS phenotype in the recipient mice.
DOI: 10.6084/m9.figshare.25346146.v3
title: PCOSFMT

description: Dysbiosis of the microbiome is a key hallmark of polycystic ovary syndrome (PCOS). However, the interaction between the host and microbiome and its relevance with the pathogenesis of PCOS remains unclear. To evaluate the role of commensal gut microbiome in PCOS, we gavaged germ free mice with the fecal microbiota from patients with PCOS or healthy individuals, and evaluated PCOS phenotype in the recipient mice.