cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38620.v1
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2020
title: Version 1

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2020. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2020
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2020.
DOI: 10.3886/icpsr38620
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2020
title: Archival Version

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2020. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2020
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2020.
DOI: 10.3886/icpsr38619.v1
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court - Terminated, 2020
title: Version 1

description: The data contain records of charges filed against defendants whose cases were terminated by United States attorneys in United States district court during fiscal year 2020. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court - Terminated, 2020
description: Charges filed against defendants whose cases were terminated in United States district court during fiscal year 2020.
DOI: 10.5281/zenodo.7785641
title: psittacara_erythrogenys_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7785640
title: psittacara_erythrogenys_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22331140.v1
title: Manipulating Exchange Bias in 2D Magnetic Heterojunction

description: The exchange bias effect has been instrumental in the development of a variety of spintronic devices. Here, we use pressure to tune the exchange bias effect in all van der Waals heterostructure composed of FePSe3/Fe3GeTe2.
DOI: 10.5281/zenodo.7785231
title: Supplementary material - Woudstra et al., 2023: Strain diversity and infection durations of Staphylococcus spp. and Streptococcus spp. causing intramammary infections in dairy cows

description: This file contains supplementary material for an article in the Journal of Dairy Science with the title "Strain diversity and infection durations of <em>Staphylococcus </em>spp. and <em>Streptococcus </em>spp. causing intramammary infections in dairy cows". The data origin and methodology used to produce the data is described in detail in the article.
DOI: 10.5281/zenodo.7785230
title: Supplementary material - Woudstra et al., 2023: Strain diversity and infection durations of Staphylococcus spp. and Streptococcus spp. causing intramammary infections in dairy cows

description: This file contains supplementary material for an article in the Journal of Dairy Science with the title "Strain diversity and infection durations of <em>Staphylococcus </em>spp. and <em>Streptococcus </em>spp. causing intramammary infections in dairy cows". The data origin and methodology used to produce the data is described in detail in the article.
DOI: 10.3886/icpsr38612.v1
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2020
title: Version 1

description: The data contain records of defendants in criminal cases filed in United States District Court during fiscal year 2020. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2020
description: Criminal cases filed in United States District Court during fiscal year 2020. Smallest Geographic Unit: United States
DOI: 10.3886/icpsr38612
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2020
title: Archival Version

description: The data contain records of defendants in criminal cases filed in United States District Court during fiscal year 2020. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2020
description: Criminal cases filed in United States District Court during fiscal year 2020. Smallest Geographic Unit: United States
DOI: 10.57745/5ib5pd
title: MM1011_S68_L001_R1_001.fastq.gz
DOI: 10.57745/toy9uj
title: MM1011_S68_L001_R2_001.fastq.gz
DOI: 10.57745/j4vzhn
title: MM1012_S149_L001_R1_001.fastq.gz
DOI: 10.57745/nsqsmu
title: MM1012_S149_L001_R2_001.fastq.gz
DOI: 10.57745/r53d8j
title: MM1013_S231_L001_R1_001.fastq.gz
DOI: 10.57745/lychhv
title: MM1013_S231_L001_R2_001.fastq.gz
DOI: 10.57745/mgsa1q
title: MM1021_S69_L001_R1_001.fastq.gz
DOI: 10.57745/lsft1k
title: MM1021_S69_L001_R2_001.fastq.gz
DOI: 10.57745/jajoxk
title: MM1022_S150_L001_R1_001.fastq.gz
DOI: 10.57745/qbeitj
title: MM1022_S150_L001_R2_001.fastq.gz
DOI: 10.57745/rcnfpj
title: MM1023_S232_L001_R1_001.fastq.gz
DOI: 10.57745/wuhbza
title: MM1023_S232_L001_R2_001.fastq.gz
DOI: 10.57745/cmipqf
title: MM1031_S70_L001_R1_001.fastq.gz
DOI: 10.57745/xhs6fn
title: MM1031_S70_L001_R2_001.fastq.gz
DOI: 10.57745/mfaayj
title: MM1032_S151_L001_R1_001.fastq.gz
DOI: 10.57745/jloeeg
title: MM1032_S151_L001_R2_001.fastq.gz
DOI: 10.57745/qqwtql
title: MM1033_S233_L001_R1_001.fastq.gz
DOI: 10.57745/swqjwf
title: MM1033_S233_L001_R2_001.fastq.gz
DOI: 10.57745/wbeggf
title: MM1041_S71_L001_R1_001.fastq.gz
DOI: 10.57745/kpjype
title: MM1041_S71_L001_R2_001.fastq.gz
DOI: 10.57745/ousazb
title: MM1042_S152_L001_R1_001.fastq.gz
DOI: 10.57745/orltu0
title: MM1042_S152_L001_R2_001.fastq.gz
DOI: 10.57745/1enco6
title: MM1043_S234_L001_R1_001.fastq.gz
DOI: 10.57745/3sasfr
title: MM1043_S234_L001_R2_001.fastq.gz
DOI: 10.57745/j6wam4
title: MM1051_S72_L001_R1_001.fastq.gz
DOI: 10.57745/txojzr
title: MM1051_S72_L001_R2_001.fastq.gz
DOI: 10.57745/f8ulhb
title: MM1052_S153_L001_R1_001.fastq.gz
DOI: 10.57745/saqzy0
title: MM1052_S153_L001_R2_001.fastq.gz
DOI: 10.57745/d0u1vt
title: MM1053_S235_L001_R1_001.fastq.gz
DOI: 10.57745/go3nkd
title: MM1053_S235_L001_R2_001.fastq.gz
DOI: 10.57745/lr8e3n
title: MM1061_S73_L001_R2_001.fastq.gz
DOI: 10.57745/mjwnrh
title: MM1061_S73_L001_R1_001.fastq.gz
DOI: 10.57745/trzpif
title: MM1062_S154_L001_R1_001.fastq.gz
DOI: 10.57745/jzdv5f
title: MM1062_S154_L001_R2_001.fastq.gz
DOI: 10.57745/xfiogb
title: MM1063_S236_L001_R1_001.fastq.gz
DOI: 10.57745/dlhdy6
title: MM1063_S236_L001_R2_001.fastq.gz
DOI: 10.57745/tcddwp
title: MM1071_S74_L001_R1_001.fastq.gz
DOI: 10.57745/dhx6mp
title: MM1071_S74_L001_R2_001.fastq.gz
DOI: 10.57745/r5f3ut
title: MM1072_S155_L001_R1_001.fastq.gz
DOI: 10.57745/zfg33m
title: MM1072_S155_L001_R2_001.fastq.gz
DOI: 10.57745/fjtwr9
title: MM1073_S237_L001_R1_001.fastq.gz
DOI: 10.57745/w25ajo
title: MM1073_S237_L001_R2_001.fastq.gz
DOI: 10.57745/i2xbp7
title: MM1081_S75_L001_R1_001.fastq.gz
DOI: 10.57745/5zb9cs
title: MM1081_S75_L001_R2_001.fastq.gz
DOI: 10.57745/8g7gxr
title: MM1082_S156_L001_R1_001.fastq.gz
DOI: 10.57745/h719n4
title: MM1082_S156_L001_R2_001.fastq.gz
DOI: 10.57745/miadai
title: MM1083_S238_L001_R1_001.fastq.gz
DOI: 10.57745/opdxsg
title: MM1083_S238_L001_R2_001.fastq.gz
DOI: 10.57745/bsxbgv
title: MM1091_S76_L001_R1_001.fastq.gz
DOI: 10.57745/8zvvcn
title: MM1091_S76_L001_R2_001.fastq.gz
DOI: 10.57745/xigtnm
title: MM1092_S157_L001_R1_001.fastq.gz
DOI: 10.57745/om5xdd
title: MM1093_S239_L001_R1_001.fastq.gz
DOI: 10.57745/uykz1c
title: MM1092_S157_L001_R2_001.fastq.gz
DOI: 10.57745/o1onsz
title: MM1093_S239_L001_R2_001.fastq.gz
DOI: 10.57745/on6xxf
title: MM1101_S77_L001_R1_001.fastq.gz
DOI: 10.57745/bcocnn
title: MM1101_S77_L001_R2_001.fastq.gz
DOI: 10.57745/bhfgp0
title: MM1102_S158_L001_R1_001.fastq.gz
DOI: 10.57745/qfzhgc
title: MM1102_S158_L001_R2_001.fastq.gz
DOI: 10.57745/ne9u7i
title: MM1103_S240_L001_R1_001.fastq.gz
DOI: 10.57745/dc8kn1
title: MM1103_S240_L001_R2_001.fastq.gz
DOI: 10.57745/lfesk3
title: MM1111_S78_L001_R1_001.fastq.gz
DOI: 10.57745/hshrhj
title: MM1111_S78_L001_R2_001.fastq.gz
DOI: 10.57745/hdcevh
title: MM1112_S159_L001_R1_001.fastq.gz
DOI: 10.57745/plwc3r
title: MM1112_S159_L001_R2_001.fastq.gz
DOI: 10.57745/o9dl6h
title: MM1113_S241_L001_R1_001.fastq.gz
DOI: 10.57745/aw2phb
title: MM1113_S241_L001_R2_001.fastq.gz
DOI: 10.57745/auwcly
title: MM1121_S79_L001_R1_001.fastq.gz
DOI: 10.57745/kr8jqy
title: MM1121_S79_L001_R2_001.fastq.gz
DOI: 10.57745/ftnvgz
title: MM1122_S160_L001_R1_001.fastq.gz
DOI: 10.57745/q8qj1p
title: MM1123_S242_L001_R1_001.fastq.gz
DOI: 10.57745/thwaf3
title: MM1122_S160_L001_R2_001.fastq.gz
DOI: 10.57745/jnoyo3
title: MM1123_S242_L001_R2_001.fastq.gz
DOI: 10.57745/ngmzc5
title: MM1131_S80_L001_R1_001.fastq.gz
DOI: 10.57745/2siail
title: MM1131_S80_L001_R2_001.fastq.gz
DOI: 10.57745/3zhdkp
title: MM1132_S161_L001_R1_001.fastq.gz
DOI: 10.57745/lpx8sd
title: MM1132_S161_L001_R2_001.fastq.gz
DOI: 10.57745/irdzzq
title: MM1133_S243_L001_R1_001.fastq.gz
DOI: 10.57745/gpthi3
title: MM1133_S243_L001_R2_001.fastq.gz
DOI: 10.57745/ixj5sn
title: MM1141_S81_L001_R1_001.fastq.gz
DOI: 10.57745/c4h3dl
title: MM1141_S81_L001_R2_001.fastq.gz
DOI: 10.57745/dlcdwz
title: MM1142_S162_L001_R1_001.fastq.gz
DOI: 10.57745/unohtc
title: MM1142_S162_L001_R2_001.fastq.gz
DOI: 10.57745/ch1egr
title: MM1143_S244_L001_R1_001.fastq.gz
DOI: 10.57745/8eaozk
title: MM1143_S244_L001_R2_001.fastq.gz
DOI: 10.57745/omsghn
title: MM1151_S82_L001_R1_001.fastq.gz
DOI: 10.57745/kep4nx
title: MM1151_S82_L001_R2_001.fastq.gz
DOI: 10.57745/1wzlfc
title: MM1152_S164_L001_R1_001.fastq.gz
DOI: 10.57745/s5cosi
title: MM1152_S164_L001_R2_001.fastq.gz
DOI: 10.57745/dvccxp
title: MM1153_S245_L001_R2_001.fastq.gz
DOI: 10.57745/olezxr
title: MM1153_S245_L001_R1_001.fastq.gz
DOI: 10.57745/bfkdua
title: MM1161_S83_L001_R1_001.fastq.gz
DOI: 10.57745/g8f17q
title: MM1161_S83_L001_R2_001.fastq.gz
DOI: 10.57745/iuxtn5
title: MM1162_S165_L001_R1_001.fastq.gz
DOI: 10.57745/lessrf
title: MM1162_S165_L001_R2_001.fastq.gz
DOI: 10.57745/nggohx
title: MM1163_S246_L001_R1_001.fastq.gz
DOI: 10.57745/ljvv95
title: MM1163_S246_L001_R2_001.fastq.gz
DOI: 10.57745/xpldru
title: MM1171_S84_L001_R1_001.fastq.gz
DOI: 10.57745/owifx3
title: MM1171_S84_L001_R2_001.fastq.gz
DOI: 10.57745/x2ylvp
title: MM1172_S166_L001_R1_001.fastq.gz
DOI: 10.57745/w7xav1
title: MM1172_S166_L001_R2_001.fastq.gz
DOI: 10.57745/tpb5l5
title: MM1173_S247_L001_R1_001.fastq.gz
DOI: 10.57745/vwviyh
title: MM1173_S247_L001_R2_001.fastq.gz
DOI: 10.57745/f7x8r7
title: MM1181_S85_L001_R1_001.fastq.gz
DOI: 10.57745/w8tcuv
title: MM1181_S85_L001_R2_001.fastq.gz
DOI: 10.57745/nukh8n
title: MM1182_S167_L001_R1_001.fastq.gz
DOI: 10.57745/vw6ovw
title: MM1182_S167_L001_R2_001.fastq.gz
DOI: 10.57745/ipzz7t
title: MM1183_S248_L001_R1_001.fastq.gz
DOI: 10.57745/fc9v5s
title: MM1183_S248_L001_R2_001.fastq.gz
DOI: 10.57745/tynday
title: MM1191_S86_L001_R1_001.fastq.gz
DOI: 10.57745/d50dv1
title: MM1191_S86_L001_R2_001.fastq.gz
DOI: 10.57745/6yduk1
title: MM1192_S168_L001_R1_001.fastq.gz
DOI: 10.57745/dpiorr
title: MM1192_S168_L001_R2_001.fastq.gz
DOI: 10.57745/adv1a7
title: MM1193_S249_L001_R2_001.fastq.gz
DOI: 10.57745/e9whlo
title: MM1193_S249_L001_R1_001.fastq.gz
DOI: 10.57745/b79d9l
title: MM1201_S87_L001_R1_001.fastq.gz
DOI: 10.57745/1zcm2k
title: MM1201_S87_L001_R2_001.fastq.gz
DOI: 10.57745/uelyof
title: MM1202_S169_L001_R1_001.fastq.gz
DOI: 10.57745/elddyp
title: MM1202_S169_L001_R2_001.fastq.gz
DOI: 10.57745/30pjio
title: MM1203_S250_L001_R1_001.fastq.gz
DOI: 10.57745/a4pyvr
title: MM1203_S250_L001_R2_001.fastq.gz
DOI: 10.57745/yhgfso
title: MM1211_S88_L001_R1_001.fastq.gz
DOI: 10.57745/cg8euo
title: MM1211_S88_L001_R2_001.fastq.gz
DOI: 10.57745/jelkn2
title: MM1212_S170_L001_R1_001.fastq.gz
DOI: 10.57745/c1gzbl
title: MM1213_S251_L001_R1_001.fastq.gz
DOI: 10.57745/h4knn0
title: MM1212_S170_L001_R2_001.fastq.gz
DOI: 10.57745/dps3ph
title: MM1213_S251_L001_R2_001.fastq.gz
DOI: 10.57745/fll2qd
title: MM1221_S89_L001_R1_001.fastq.gz
DOI: 10.57745/vigvzv
title: MM1221_S89_L001_R2_001.fastq.gz
DOI: 10.57745/wzemg6
title: MM1222_S171_L001_R1_001.fastq.gz
DOI: 10.57745/ef3f3e
title: MM1222_S171_L001_R2_001.fastq.gz
DOI: 10.57745/kwbygu
title: MM1223_S252_L001_R1_001.fastq.gz
DOI: 10.57745/ocux1y
title: MM1231_S90_L001_R1_001.fastq.gz
DOI: 10.57745/wtvrh1
title: MM1223_S252_L001_R2_001.fastq.gz
DOI: 10.57745/lilhhv
title: MM1231_S90_L001_R2_001.fastq.gz
DOI: 10.57745/c3axqt
title: MM1232_S172_L001_R1_001.fastq.gz
DOI: 10.57745/ywvvgq
title: MM1232_S172_L001_R2_001.fastq.gz
DOI: 10.57745/felkey
title: MM1233_S253_L001_R2_001.fastq.gz
DOI: 10.6084/m9.figshare.24885822.v1
title: Sustainable microalgae extraction for proactive water bloom prevention

description: Statistical Source Data
DOI: 10.6084/m9.figshare.24885822
title: Sustainable microalgae extraction for proactive water bloom prevention

description: Statistical Source Data
DOI: 10.6084/m9.figshare.22811537
title: Variation in temperature of peak trait performance constrains adaptation of arthropod populations to climatic warming

description: A new global dataset describing the temperature-dependence of 61 diverse arthropod species' population-fitness traits
DOI: 10.6084/m9.figshare.22811537.v1
title: Variation in temperature of peak trait performance constrains adaptation of arthropod populations to climatic warming

description: A new global dataset describing the temperature-dependence of 61 diverse arthropod species' population-fitness traits
DOI: 10.6084/m9.figshare.21432345
title: Computational Data

description: supporting information
DOI: 10.6084/m9.figshare.21432345.v1
title: Computational Data

description: supporting information
DOI: 10.6084/m9.figshare.22932533.v1
title: Pac_TIW_Intensification

description: The repository provides Matlab codes (.m) and data (.mat) for a revised (Review round2) manuscript, "Intensification of Pacific Tropical Instability Waves over the recent three decades". They includes codes and data for each figures (5 main and 10 extended data figures), and also a diagnostic model for equatorial surface currents.
DOI: 10.6084/m9.figshare.22932533
title: Pac_TIW_Intensification

description: The repository provides Matlab codes (.m) and data (.mat) for a revised (Review round2) manuscript, "Intensification of Pacific Tropical Instability Waves over the recent three decades". They includes codes and data for each figures (5 main and 10 extended data figures), and also a diagnostic model for equatorial surface currents.
DOI: 10.5281/zenodo.10570813
title: Dataset: Precipitation steepness drives global patterns of changes in bird communities composition without major phylogenetic signal

description: Compressed folder containg data for the review of the article "Precipitation steepness drives global patterns of changes in bird communities composition without major phylogenetic signal".

Please, read the README document first.
DOI: 10.5281/zenodo.10570814
title: Dataset: Precipitation steepness drives global patterns of changes in bird communities composition without major phylogenetic signal

description: Compressed folder containg data for the review of the article "Precipitation steepness drives global patterns of changes in bird communities composition without major phylogenetic signal".

Please, read the README document first.
DOI: 10.6084/m9.figshare.23291687.v1
title: Total Synthesis of Tetrodotoxin and 9-epiTetrodotoxin

description: The original dataset of "Total Synthesis of Tetrodotoxin and 9-epiTetrodotoxin", manuscript#: NCOMMS-23-01160D
DOI: 10.6084/m9.figshare.23291687
title: Total Synthesis of Tetrodotoxin and 9-epiTetrodotoxin

description: The original dataset of "Total Synthesis of Tetrodotoxin and 9-epiTetrodotoxin", manuscript#: NCOMMS-23-01160D
DOI: 10.6084/m9.figshare.24112590.v1
title: WNT-dependent interaction between inflammatory fibroblasts and FOLR2+ macrophages promotes fibrosis in chronic kidney disease

description: Description of the data linked to this paper
DOI: 10.6084/m9.figshare.24815685
title: Noise Learning of Instruments for High-contrast, High-resolution and Fast Hyperspectral Microscopy and Nanoscopy

description: NoiseDataforHoribaLabRAM.rar: 
This dataset contains part of measured Au film spectra acquired on a commercial Raman microscopy for training the noise learing model.
Testingdataset.rar:
This dataset contains three Raman imaging data and predicted instrumental noise by the pretrained model.
DOI: 10.6084/m9.figshare.24815685.v1
title: Noise Learning of Instruments for High-contrast, High-resolution and Fast Hyperspectral Microscopy and Nanoscopy

description: NoiseDataforHoribaLabRAM.rar: 
This dataset contains part of measured Au film spectra acquired on a commercial Raman microscopy for training the noise learing model.
Testingdataset.rar:
This dataset contains three Raman imaging data and predicted instrumental noise by the pretrained model.
DOI: 10.6084/m9.figshare.24112590
title: WNT-dependent interaction between inflammatory fibroblasts and FOLR2+ macrophages promotes fibrosis in chronic kidney disease

description: Description of the data linked to this paper
DOI: 10.6084/m9.figshare.24231622.v1
title: Data used for publication "Global surveillance of antimicrobial resistance in food animals using priority drugs maps."

description: Data extracted from point-prevalence surveys on antimicrobial resistance for E. coli and Salmonella across low- and middle-income countries between 2000 and 2019.
DOI: 10.6084/m9.figshare.24231622
title: Data used for publication "Global surveillance of antimicrobial resistance in food animals using priority drugs maps."

description: Data extracted from point-prevalence surveys on antimicrobial resistance for E. coli and Salmonella across low- and middle-income countries between 2000 and 2019.
DOI: 10.6084/m9.figshare.24707541
title: Direct 4D printing of ceramics driven by hydrogel dehydration

description: The dataset contains the mechanical properties of ceramic elastomer and acrylic acid- poly(ethylene glycol) diacrylate (AP) hydrogel, Young's modulus and volumetric shrinkage of AP hydrogel during dehydration, peeling test of ceramic elastomer-hydrogel laminate, bending curvature of ceramic elastomer-hydrogel laminate with different parameters, shape retention ratio of ceramic after sintering, and calculation results.
DOI: 10.6084/m9.figshare.24707541.v1
title: Direct 4D printing of ceramics driven by hydrogel dehydration

description: The dataset contains the mechanical properties of ceramic elastomer and acrylic acid- poly(ethylene glycol) diacrylate (AP) hydrogel, Young's modulus and volumetric shrinkage of AP hydrogel during dehydration, peeling test of ceramic elastomer-hydrogel laminate, bending curvature of ceramic elastomer-hydrogel laminate with different parameters, shape retention ratio of ceramic after sintering, and calculation results.