cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fh7bj
title: CCDC 2248967: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.vhh8ue
title: Occurrence Download

description: A dataset containing 697225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Geometry POLYGON((-6.90411 -16.90223,-5.65107 -17.84122,-2.54853 -13.65235,7.65072 -1.48988,11.08278 3.80448,12.90725 6.56541,16.29924 12.12522,15.38111 13.47692,9.41324 6.13184,-6.8736 -15.49732,-6.90411 -15.49732,-6.90411 -16.90223))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 697225 records from 657 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001599-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/tglbun
title: Kategoryzacja wpisów Biblioteki Uniwersytetu Wuhan, Biblioteki Uniwersytetu Qinghua oraz Biblioteki Uniwersytetu Nauki i Technologii Chin zamieszczonych na platformie WeChat w semestrze wiosennym roku akademickiego 2021/2022

description: Zbiór danych zawiera kategoryzację 450 wpisów opublikowanych przez Bibliotekę Uniwersytetu Wuhan, Bibliotekę Uniwersytetu Qinghua oraz Bibliotekę Uniwersytetu Nauki i Technologii Chin na platformie WeChat w semestrze wiosennym roku akademickiego 2021/2022. W powiązanej publikacji znajduje się opis zasad tworzenia klucza kategoryzacyjnego i procesu kategoryzacji postów.W pliku “wlodarczyk_klucz_kategoryzacyjny_biblioteki_ak_wechat.csv” zamieszczono klucz kategoryzacyjny wykorzystany w badaniu. Opis każdej kategorii i podkategorii składa się z kodu liczbowego, nazwy oraz definicji.Plik “wlodarczyk_kategoryzacja_biblioteki_ak_wechat.csv” zawiera wynik kategoryzacji. Opis każdego posta składa się z tytułu wpisu, URL, daty publikacji, skrótu nazwy biblioteki (Biblioteka Uniwersytetu Wuhan - BUW, Biblioteka Uniwersytetu Qinghua - BUQ, Biblioteka Uniwersytetu Nauki i Technologii Chin - BUNTC) oraz przydzielonych kategorii i podkategorii.
DOI: 10.34740/kaggle/dsv/10631619
title: Mycobacterial CT Imaging Dataset
DOI: 10.6084/m9.figshare.25818289
title: Supplementary tables

description: Supplementary tables associated with Genomic and phenotypic characterisation of staphylococci isolated from the skin of non-human primates
DOI: 10.6084/m9.figshare.25818289.v1
title: Supplementary tables

description: Supplementary tables associated with Genomic and phenotypic characterisation of staphylococci isolated from the skin of non-human primates
DOI: 10.15468/dl.updxtq
title: Occurrence Download

description: A dataset containing 12820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Erinaceus Linnaeus, 1758"
 ]
}

 The dataset includes 12820 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001627-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/4551
title: opentts-uk
DOI: 10.15468/dl.jhxjsg
title: Occurrence Download

description: A dataset containing 41242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neovison vison (Schreber, 1777)",
 "Year 2000-2025"
 ]
}

 The dataset includes 41242 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001626-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/3301227
title: Full UNITE+INSD dataset for Fungi

description: This FASTA file ("UNITE+INSDC") comprises “all” fungal ITS sequences of the UNITE and INSDC databases present in UNITE Species Hypotheses, updated and released some four times a year. Locked UNITE sequences and low quality (and overly short) INSDC sequences are however excluded.
DOI: 10.5281/zenodo.13483662
title: Multi-omics analysis reveals the link between Treg distribution and therapy efficacy in Hepatocellular Carcinoma patients treated with tremelimumab plus durvalumab

description: Introduction

Hepatocellular carcinoma (HCC) remains a significant contributor to cancer-related deaths. Immunotherapy, either alone or in combination, has emerged as the standard treatment for advanced HCC. Notably, the combination of durvalumab (dur) and tremelimumab (trem) has received FDA approval based on findings from the HIMALAYA trial. However, comprehensive studies elucidating immune responses are lacking. We conducted a thorough analysis utilizing clinical samples from tumor biopsies to understand the mechanism of response.

Methods

Multiplexed immunofluorescence microscopy was used to analyze immune cell infiltration in primary human liver cancer samples. We developed and validated a comprehensive 37-plex antibody panel for immunofluorescence imaging of human FFPE samples. We applied highly multiplexed co-detection by indexing (CODEX) technology to simultaneously profile in situ expression of 37 proteins at sub-cellular resolution in 20 HCC patient samples using whole slide scanning. We established an image analysis pipeline to quantify all major cell populations in the human liver using supervised manual gating and unsupervised clustering algorithms using the exported matrix of the marker expression and spatial information. Clinical metadata including sex, gender, ethnicity, pretreatment, and histopathological reports are available for all patient samples.

Results

Using high-dimensional spatially resolved quantitative analysis of multiplexed immunofluorescence microscopy images, we generated a unique dataset and profiled the single-cell pathology landscape for human HCC treated with immunotherapy. In situ phenotyping of 400,000 single cells (including 130,000 CD45+ immune cells) allowed for the quantification of cell phenotype clusters, differential analysis of activation markers, and spatial features of each individual cell. This analysis revealed the comprehensive profile of the cell composition and spatial interactions of different cells in the TiME of patients treated with immunotherapy. Further details on the study can be obtained in our paper once it’s published.

Conclusion

We developed the CODEX panel for FFPE biopsy samples of HCC patients.
description: Each image contains

1: HALO exported interactive markup image file :Tif

2: HALO exported image :Tif

3: HALO_AI Exported matrix file :csv.
DOI: 10.5281/zenodo.13483663
title: Multi-omics analysis reveals the link between Treg distribution and therapy efficacy in Hepatocellular Carcinoma patients treated with tremelimumab plus durvalumab

description: Introduction

Hepatocellular carcinoma (HCC) remains a significant contributor to cancer-related deaths. Immunotherapy, either alone or in combination, has emerged as the standard treatment for advanced HCC. Notably, the combination of durvalumab (dur) and tremelimumab (trem) has received FDA approval based on findings from the HIMALAYA trial. However, comprehensive studies elucidating immune responses are lacking. We conducted a thorough analysis utilizing clinical samples from tumor biopsies to understand the mechanism of response.

Methods

Multiplexed immunofluorescence microscopy was used to analyze immune cell infiltration in primary human liver cancer samples. We developed and validated a comprehensive 37-plex antibody panel for immunofluorescence imaging of human FFPE samples. We applied highly multiplexed co-detection by indexing (CODEX) technology to simultaneously profile in situ expression of 37 proteins at sub-cellular resolution in 20 HCC patient samples using whole slide scanning. We established an image analysis pipeline to quantify all major cell populations in the human liver using supervised manual gating and unsupervised clustering algorithms using the exported matrix of the marker expression and spatial information. Clinical metadata including sex, gender, ethnicity, pretreatment, and histopathological reports are available for all patient samples.

Results

Using high-dimensional spatially resolved quantitative analysis of multiplexed immunofluorescence microscopy images, we generated a unique dataset and profiled the single-cell pathology landscape for human HCC treated with immunotherapy. In situ phenotyping of 400,000 single cells (including 130,000 CD45+ immune cells) allowed for the quantification of cell phenotype clusters, differential analysis of activation markers, and spatial features of each individual cell. This analysis revealed the comprehensive profile of the cell composition and spatial interactions of different cells in the TiME of patients treated with immunotherapy. Further details on the study can be obtained in our paper once it’s published.

Conclusion

We developed the CODEX panel for FFPE biopsy samples of HCC patients.
description: Each image contains

1: HALO exported interactive markup image file :Tif

2: HALO exported image :Tif

3: HALO_AI Exported matrix file :csv.
DOI: 10.5281/zenodo.14869645
title: Tolypothrix bouteillei VB521301_2 sequencing reads

description: highQuality-reads.fastq: Nanopore reads





 






268I_R1.fastq and 268_R2.fastq: Illumina paired end reads
DOI: 10.5281/zenodo.14869646
title: Tolypothrix bouteillei VB521301_2 sequencing reads

description: highQuality-reads.fastq: Nanopore reads





 






268I_R1.fastq and 268_R2.fastq: Illumina paired end reads
DOI: 10.15468/dl.kfn2hb
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriocnemis nigrivestis (Bourcier & Mulsant, 1852)"
 ]
}

 The dataset includes 391 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001629-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/itpm06/0t6qmy
title: pdb_trace_T1S3FL_23_MT6.pdb

description: :unav
DOI: 10.25625/itpm06/1vgaiy
title: map_T1S3FL_05_MT5.mrc

description: :unav
DOI: 10.25625/itpm06/2teksw
title: pdb_trace_T1S3FL_25_MT4.pdb

description: :unav
DOI: 10.25625/itpm06/3ra6gt
title: pdb_trace_T1S3FL_05_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/4bhlwz
title: map_T1S3FL_26_MT4.mrc

description: :unav
DOI: 10.25625/itpm06/4cvjef
title: pdb_trace_T1S3FL_07_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/5t6akl
title: pdb_trace_T1S3FL_20_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/a10aq0
title: pdb_trace_T1S3FL_16_MT4.pdb

description: :unav
DOI: 10.25625/itpm06/bsnqt5
title: pdb_trace_T1S3_17_mt2.pdb

description: :unav
DOI: 10.25625/itpm06/chvina
title: map_T1S3FL_05_MT4.mrc

description: :unav
DOI: 10.25625/itpm06/cmokql
title: pdb_trace_T1S3FL_25_MT6.pdb

description: :unav
DOI: 10.25625/itpm06/dsozcf
title: map_T1S3FL_23_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/ezmd82
title: pdb_trace_T1S3FL_05_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/fxoqxm
title: pdb_trace_T1S3FL_23_MT5.pdb

description: :unav
DOI: 10.25625/itpm06/gtg6is
title: pdb_trace_T1S3FL_05_MT7.pdb

description: :unav
DOI: 10.25625/itpm06/hvwkjw
title: map_T1S3_17_mt2.mrc

description: :unav
DOI: 10.25625/itpm06/iphkyy
title: pdb_trace_T1S3FL_07_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/lgl2kn
title: pdb_trace_T1S3_21_mt1.pdb

description: :unav
DOI: 10.25625/itpm06/mjpjwb
title: map_T1S3FL_16_MT4.mrc

description: :unav
DOI: 10.25625/itpm06/mwlfbx
title: pdb_trace_T1S3FL_08_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/oalogr
title: map_T1S3FL_05_MT6.mrc

description: :unav
DOI: 10.25625/itpm06/qburpn
title: map_T1S3_17_mt1.mrc

description: :unav
DOI: 10.25625/itpm06/qpkxdd
title: map_T1S3FL_23_MT5.mrc

description: :unav
DOI: 10.25625/itpm06/qsgjwr
title: map_T1S3FL_20_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/qus5fj
title: pdb_trace_T1S3FL_24_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/sajqtq
title: map_T1S3FL_25_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/skdnux
title: map_T1S3_21_mt1.mrc

description: :unav
DOI: 10.25625/itpm06/son4gq
title: map_T1S3_21_mt6.mrc

description: :unav
DOI: 10.25625/itpm06/t4eh0r
title: pdb_trace_T1S3FL_26_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/tudx9s
title: pdb_trace_T1S3_21_mt4.pdb

description: :unav
DOI: 10.25625/itpm06/vy32q0
title: pdb_trace_T1S3FL_25_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/w93pz4
title: pdb_trace_T1S3_17_mt3.pdb

description: :unav
DOI: 10.25625/itpm06/wu0fcv
title: pdb_trace_T1S3FL_23_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/xepnzo
title: map_T1S3FL_08_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/xnr0hg
title: pdb_trace_T1S3FL_24_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/yxcats
title: pdb_trace_T1S3FL_23_MT7.pdb

description: :unav
DOI: 10.25625/itpm06/zas0zc
title: pdb_trace_T1S3_13_mt1.pdb

description: :unav
DOI: 10.25625/itpm06/0vb0co
title: map_T1S3FL_20_MT4.mrc

description: :unav
DOI: 10.25625/itpm06/2icqgz
title: map_T1S3FL_05_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/4cenom
title: map_T1S3FL_05_MT7.mrc

description: :unav
DOI: 10.25625/itpm06/7uugfc
title: map_T1S3FL_16_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/7xas6e
title: pdb_trace_T1S3_21_mt3.pdb

description: :unav
DOI: 10.25625/itpm06/7zzqrk
title: pdb_trace_T1S3_17_mt1.pdb

description: :unav
DOI: 10.25625/itpm06/8rksyk
title: pdb_trace_T1S3FL_24_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/a3ukgu
title: pdb_trace_T1S3FL_05_MT4.pdb

description: :unav
DOI: 10.25625/itpm06/akxoq7
title: pdb_trace_T1S3FL_26_MT4.pdb

description: :unav
DOI: 10.25625/itpm06/bfjwl5
title: map_T1S3FL_16_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/bfv846
title: pdb_trace_T1S3FL_14_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/cadxbm
title: map_T1S3_17_mt3.mrc

description: :unav
DOI: 10.25625/itpm06/cdil1a
title: pdb_trace_T1S3FL_14_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/djynlq
title: map_T1S3FL_20_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/dlz8dj
title: map_T1S3FL_25_MT6.mrc

description: :unav
DOI: 10.25625/itpm06/eimy80
title: map_T1S3FL_24_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/ihtzvq
title: map_T1S3FL_14_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/jfgen3
title: pdb_trace_T1S3_22_mt4.pdb

description: :unav
DOI: 10.25625/itpm06/jgb7my
title: map_T1S3FL_12_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/k14twn
title: pdb_trace_T1S3FL_03_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/k1tpoq
title: map_T1S3FL_20_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/kjm2yf
title: map_T1S3_21_mt4.mrc

description: :unav
DOI: 10.25625/itpm06/npp12b
title: map_T1S3FL_24_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/o3boo0
title: map_T1S3_21_mt3.mrc

description: :unav
DOI: 10.25625/itpm06/ohbm3y
title: map_T1S3FL_23_MT6.mrc

description: :unav
DOI: 10.25625/itpm06/pcuucr
title: pdb_trace_T1S3_21_mt7.pdb

description: :unav
DOI: 10.25625/itpm06/pedlli
title: pdb_trace_T1S3FL_16_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/rz2gma
title: map_T1S3FL_16_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/s8kitv
title: map_T1S3_22_mt4.mrc

description: :unav
DOI: 10.25625/itpm06/su0v4f
title: pdb_trace_T1S3FL_06_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/t6t8u7
title: pdb_trace_T1S3_22_mt3.pdb

description: :unav
DOI: 10.25625/itpm06/wnxjwm
title: scope_info.txt

description: :unav
DOI: 10.25625/itpm06/1bft8i
title: pdb_trace_T1S3FL_20_MT4.pdb

description: :unav
DOI: 10.25625/itpm06/ckctgr
title: pdb_trace_T1S3FL_05_MT6.pdb

description: :unav
DOI: 10.25625/itpm06/fd6yhk
title: map_T1S3_21_mt7.mrc

description: :unav
DOI: 10.25625/itpm06/gfbe0t
title: map_T1S3_13_mt1.mrc

description: :unav
DOI: 10.25625/itpm06/hbxbyd
title: map_T1S3FL_26_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/hpztj1
title: map_T1S3FL_25_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/hxjhyp
title: map_T1S3FL_05_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/jvabbo
title: map_T1S3FL_07_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/lskgyp
title: map_T1S3_22_mt3.mrc

description: :unav
DOI: 10.25625/itpm06/mahi1f
title: map_T1S3FL_06_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/nrmmls
title: map_T1S3FL_07_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/v5mcwa
title: pdb_trace_T1S3FL_16_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/w9yydh
title: map_T1S3FL_23_MT7.mrc

description: :unav
DOI: 10.25625/itpm06/woo6u0
title: pdb_trace_T1S3FL_12_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/x1wjv6
title: pdb_trace_T1S3FL_16_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/x5x94j
title: pdb_trace_T1S3FL_20_MT2.pdb

description: :unav
DOI: 10.25625/itpm06/xaoxrh
title: pdb_trace_T1S3FL_23_MT1.pdb

description: :unav
DOI: 10.25625/itpm06/xbqtr7
title: pdb_trace_T1S3_21_mt6.pdb

description: :unav
DOI: 10.25625/itpm06
title: shortening_2019-Apr

description: Densities and traces of shortening microtubule ends imaged in April 2019
DOI: 10.25625/itpm06/4llid4
title: map_T1S3FL_14_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/6qehkh
title: map_T1S3FL_24_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/h22dff
title: map_T1S3FL_03_MT3.mrc

description: :unav
DOI: 10.25625/itpm06/hqwa82
title: pdb_trace_T1S3FL_25_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/i3bpmy
title: pdb_trace_T1S3FL_05_MT5.pdb

description: :unav
DOI: 10.25625/itpm06/lsijzg
title: map_T1S3FL_23_MT2.mrc

description: :unav
DOI: 10.25625/itpm06/obagag
title: map_T1S3FL_23_MT1.mrc

description: :unav
DOI: 10.25625/itpm06/rpgm0r
title: map_T1S3FL_25_MT4.mrc

description: :unav
DOI: 10.25625/itpm06/sbdxwu
title: pdb_trace_T1S3FL_23_MT3.pdb

description: :unav
DOI: 10.25625/itpm06/zwiekg
title: pdb_trace_T1S3FL_20_MT3.pdb

description: :unav
DOI: 10.57967/hf/4552
title: openstt-uk
DOI: 10.15468/dl.ffhrr8
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "DatasetKey is one of (iNaturalist Research-grade Observations, India Biodiversity Portal publication grade dataset, EOD – eBird Observation Dataset)",
 "GadmGid is one of (IND.19.17_1, IND.19.27_1, IND.19.3_1, IND.15.9_1)",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 62431bdf-fa0c-452b-afce-be14884a47ff)",
 "Year 2013-2023"
 ]
}

 The dataset includes 109 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001630-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/qjkh8z
title: Polarisation-dependent Raman enhancement in hexagonal boron nitride membranes

description: The experimental data presented is related to the article: J Rogoża, J. Binder, K. V. Voronin, I. Niehues, K. Ludwiczak, A. K. Dąbrowska, M. Tokarczyk, R. Bożek, A. Y. Nikitin, R. Hillenbrand, R. Stępniewski, A. Wysmołek “Polarisation-dependent Raman enhancement in hexagonal boron nitride membranes” Nanoscale 17, 3053 (2025)Raman spectroscopy is a powerful analytical method widely used in many fields of science and applications. However, one of the inherent issues of this method is a low signal-to-noise ratio for ultrathin and two-dimensional (2D) materials. To overcome this problem, techniques like surface-enhanced Raman spectroscopy (SERS) that rely on nanometer scale metallic particles are commonly employed. Here, we demonstrate a different approach that is based on a microcavity structure consisting of a hexagonal boron nitride (h-BN) membrane spanning over an air-filled trench in germanium. In this structure, the h-BN membrane is an integral part of the cavity and, at the same time, shows an about 10-fold, polarisation-dependent h-BN Raman signal enhancement. With h-BN being transparent, flat, and chemically robust, it provides an excellent interface between the cavity and adjacent materials. We show that the Raman enhancement is also present for graphene layers transferred on top of the h-BN membrane, which proves that our approach can be extended to van der Waals heterostructures. The observed polarisation and position-dependent enhancements are in very good agreement with numerical simulations of the electric field intensity of the cavity. These results, together with the presented facile h-BN membrane fabrication process, which does not require any lithographic methods, open up new possibilities for enhancing Raman signals of 2D crystals without the need for metal particles.Files:Fig2The file names refer to the polarization of the laser parallel to the X or Y axis.The measurements were conducted using an inVia™ confocal Raman microscope equipped with a 532 nm, 30 mW laser. A 100x lens was used. The exposure time was 3 seconds at 100% laser power for both measurements.Fig3The terms "Parallel" and "Perpendicular" in the file names refer to the polarization of the laser with respect to the edge of the trench.The measurements were conducted using an inVia™ confocal Raman microscope equipped with a 532 nm, 30 mW laser. A 100x lens was used. The exposure time was 5 seconds at 100% laser power for both measurements.Fig4The measurements were conducted using an inVia™ confocal Raman microscope equipped with a 532 nm, 30 mW laser. A 100x lens was used. The exposure time was 5 seconds at 100% laser power for both measurements.
DOI: 10.15156/bio/3301228
title: Full UNITE+INSD dataset for eukaryotes

description: This FASTA file ("UNITE+INSDC") comprises “all” eukaryote ITS sequences of the UNITE and INSDC databases present in UNITE Species Hypotheses, updated and released some four times a year. Locked UNITE sequences and low quality (and overly short) INSDC sequences are however excluded.
DOI: 10.5281/zenodo.10491926
title: Data set associated to the manuscript entitled Carbon emissions from inland waters may be underestimated: evidence from European river networks fragmented by drying by López-Rojo et. al

description: CO2 and CH4 emissions and several associated environmental variables  were taken in 6 European drying river networks, in 20 river reaches per river network. The field work was carried across 3 sampling campaigns in 2021, coinciding with 3 hydrological seasons (pre-dry, dry and post-rewetting) to encompass most of the hydrological variability. Each time, measures were taken in the habitats available (flowing water, dry riverbeds, isolated pools).
DOI: 10.5281/zenodo.10491927
title: Data set associated to the manuscript entitled Carbon emissions from inland waters may be underestimated: evidence from European river networks fragmented by drying by López-Rojo et. al

description: CO2 and CH4 emissions and several associated environmental variables  were taken in 6 European drying river networks, in 20 river reaches per river network. The field work was carried across 3 sampling campaigns in 2021, coinciding with 3 hydrological seasons (pre-dry, dry and post-rewetting) to encompass most of the hydrological variability. Each time, measures were taken in the habitats available (flowing water, dry riverbeds, isolated pools).