cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35078/n1dxfd/n1mbbh
title: São José I. B.jpg

description: :unav
DOI: 10.35078/pwflwq/8lmeip
title: Fazendinha A.jpg

description: :unav
DOI: 10.35078/irqccy/j5yxq7
title: Macaúba de Baixo II.B.jpg

description: :unav
DOI: 10.35078/n1dxfd/r7f7ye
title: Velha A.jpg

description: :unav
DOI: 10.35078/pwflwq/5pss0t
title: Pedra do Urubu B.jpg

description: :unav
DOI: 10.35078/irqccy/kclotm
title: Folha Larga A.jpg

description: :unav
DOI: 10.35078/n1dxfd/wlan8z
title: São João A.jpg

description: :unav
DOI: 10.35078/pwflwq/7kcx8u
title: Ponte Alta D.jpg

description: :unav
DOI: 10.35078/irqccy/wuujfm
title: Francês A.jpg

description: :unav
DOI: 10.35078/pwflwq/6svxhl
title: Andorinhas B.jpg

description: :unav
DOI: 10.35078/n1dxfd/hwxe1k
title: Três Marias B.jpg

description: :unav
DOI: 10.35078/irqccy/6f2m3k
title: Campinho A.jpg

description: :unav
DOI: 10.35078/n1dxfd/wzrxmi
title: Rancho Alegre B.jpg

description: :unav
DOI: 10.35078/irqccy/ntssbk
title: Marinho A.jpg

description: :unav
DOI: 10.35078/pwflwq/zpc9oq
title: Fundição D.jpg

description: :unav
DOI: 10.35078/pwflwq/lziyiq
title: Gonçalves de Cima C.jpg

description: :unav
DOI: 10.35078/irqccy/kq2okh
title: Aroeiras A.jpg

description: :unav
DOI: 10.35078/n1dxfd/f8v6kq
title: Córrego Pirapetinga A.jpg

description: :unav
DOI: 10.35078/n1dxfd/h8nuwg
title: Serra dos Ferrare B.jpg

description: :unav
DOI: 10.35078/irqccy/zx9ian
title: Varginha II.B.jpg

description: :unav
DOI: 10.35078/pwflwq/307oye
title: Gurgel B.jpg

description: :unav
DOI: 10.35078/n1dxfd/ynu2vm
title: Córrego Bonito B.jpg

description: :unav
DOI: 10.35078/pwflwq/qd9zo7
title: Xavier E.jpg

description: :unav
DOI: 10.35078/irqccy/sskxsn
title: Macaúba do Tomé B.jpg

description: :unav
DOI: 10.35078/n1dxfd/t5le8c
title: São José II. A.jpg

description: :unav
DOI: 10.35078/irqccy/mzmgpz
title: Zagaia B.jpg

description: :unav
DOI: 10.35078/n1dxfd/vtroqs
title: Rosa Branca A.jpg

description: :unav
DOI: 10.35078/pwflwq/2jfkao
title: Pito Aceso B.jpg

description: :unav
DOI: 10.35078/irqccy/gxi46x
title: Cava B.jpg

description: :unav
DOI: 10.35078/n1dxfd/om3tpc
title: Goiabeira II. A.jpg

description: :unav
DOI: 10.35078/pwflwq/qarbt6
title: Pedra Negra C.jpg

description: :unav
DOI: 10.35078/irqccy/dakm0g
title: Zagaia A.jpg

description: :unav
DOI: 10.35078/n1dxfd/ikr6hx
title: Pinhalzinho I. B.jpg

description: :unav
DOI: 10.35078/pwflwq/rrrs7a
title: Gameleira B.jpg

description: :unav
DOI: 10.35078/irqccy/mkmylp
title: Folha Larga B.jpg

description: :unav
DOI: 10.35078/n1dxfd/kfxobm
title: São José I. A.jpg

description: :unav
DOI: 10.35078/pwflwq/mhv3cl
title: Caixa D'água A.jpg

description: :unav
DOI: 10.35078/irqccy/npk8fx
title: Caetano B.jpg

description: :unav
DOI: 10.35078/pwflwq/qymr2e
title: Bom Sucesso (Parte A) B.jpg

description: :unav
DOI: 10.35078/n1dxfd/npn4lr
title: Brejo B.jpg

description: :unav
DOI: 10.35078/irqccy/bbqhkj
title: Cangalheiro de Cima B.jpg

description: :unav
DOI: 10.35078/pwflwq/ozlfuv
title: Matinha A.jpg

description: :unav
DOI: 10.35078/n1dxfd/rqrjto
title: Conceição B.jpg

description: :unav
DOI: 10.35078/irqccy/z9jrux
title: Açudinho B.jpg

description: :unav
DOI: 10.35078/pwflwq/1foude
title: Barro Preto C.jpg

description: :unav
DOI: 10.35078/n1dxfd/yn8le9
title: Conceição A.jpg

description: :unav
DOI: 10.35078/irqccy/uhqml6
title: Fundão B.jpg

description: :unav
DOI: 10.35078/pwflwq/dyi9p5
title: Naves A.jpg

description: :unav
DOI: 10.35078/n1dxfd/nrm11j
title: Vendinha B.jpg

description: :unav
DOI: 10.35078/irqccy/2j3h7l
title: Jataúba B.jpg

description: :unav
DOI: 10.35078/n1dxfd/jukpbp
title: Caçador A.jpg

description: :unav
DOI: 10.35078/pwflwq/pzxdwd
title: Mato Dentro D.jpg

description: :unav
DOI: 10.35078/irqccy/ulnoae
title: Macaúba de Baixo Sit.B.jpg

description: :unav
DOI: 10.35078/n1dxfd/jtqr5y
title: Reunidas B.jpg

description: :unav
DOI: 10.35078/pwflwq/ir9ctl
title: Barro Amarelo B.jpg

description: :unav
DOI: 10.35078/irqccy/u69ghn
title: Córrego dos Cavalos A.jpg

description: :unav
DOI: 10.15468/dl.tr4xuw
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083383-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcvb9d
title: Occurrence Download

description: A dataset containing 24076 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scopula floslactata (Haworth, 1809)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 24076 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083384-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26825439.v1
title: Additional file 1 of Prevalence of classic and non-classic pain sites of coronary artery disease: a cross-sectional study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26825439
title: Additional file 1 of Prevalence of classic and non-classic pain sites of coronary artery disease: a cross-sectional study

description: Supplementary Material 1
DOI: 10.15468/dl.f5m24d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trogoderma granarium Everts, 1898)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (United Kingdom of Great Britain and Northern Ireland)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 50000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083385-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf6qun
title: Occurrence Download

description: A dataset containing 8402 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scopula rubiginata (Hufnagel, 1767)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 8402 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083387-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r725072
title: Unlocking Mars: A Comparative Dive into Martian Mineralogy and Hydrated Minerals with CRISM Data from Jezero, Gale and others

description: This comparative analysis delves into Martian mineralogy and hydrated minerals by examining CRISM data from Jezero and Gale craters, and the Mars2020 landing site. It offers valuable insights into mineral identification, spectral unmixing, and geological characteristics, benefiting researchers by enhancing data interpretation, aiding students in understanding advanced remote sensing techniques, supporting industry professionals in developing exploration strategies, and guiding early-career scientists in their research endeavors.
DOI: 10.15468/dl.cejevd
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083386-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks5wwf
title: Occurrence Download

description: A dataset containing 1670 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scopula virgulata (Denis & Schiffermüller), 1775",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1670 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083388-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyvttm
title: Occurrence Download

description: A dataset containing 1297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence, Living Specimen, Observation)",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Clonostachys rosea (Link) Schroers, Samuels, Seifert & W.Gams"
 ]
}

 The dataset includes 1297 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083389-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ynjv4
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083390-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehv3dz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trogoderma granarium Everts, 1898)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (United States of America)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 50000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083391-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7zdg2
title: Occurrence Download

description: A dataset containing 11948 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scopula ornata (Scopoli, 1763)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 11948 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083392-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wc6cy
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083393-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.7012454.v1
title: Multiphase flow problem from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the multiphase flow example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012451
title: 2d polynomial function from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the 2d polynomial function example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012448
title: Elliptic PDE from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the elliptic PDE example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012451.v1
title: 2d polynomial function from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the 2d polynomial function example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012448.v1
title: Elliptic PDE from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the elliptic PDE example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.5517/ccdc.csd.cc2493sc
title: CCDC 1974972: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Xiaobin Lin, Yongyan Zhang, Weidi Cao, Xiaohua Liu, Xiaoming Feng|2020|Chem.Commun.|56|10002|doi:10.1039/D0CC04590J
DOI: 10.6084/m9.figshare.7012442
title: 1d polynomial function from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the 1d polynomial function example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012442.v1
title: 1d polynomial function from Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

description: Input and QoI (output) points for the 1d polynomial function example. Rows represent different model runs. The last column corresponds to the QoI values. All others correspond to the input values.
DOI: 10.6084/m9.figshare.7012403
title: Dataset employed to perform the simulations described in this paper. from Multiple input control strategies for robust and adaptive climate engineering in a low-order 3-box model

description: This file contains the code written in Matlab and Simulink required to run the simulations performed to realise the work described in this paper.
DOI: 10.6084/m9.figshare.7012403.v1
title: Dataset employed to perform the simulations described in this paper. from Multiple input control strategies for robust and adaptive climate engineering in a low-order 3-box model

description: This file contains the code written in Matlab and Simulink required to run the simulations performed to realise the work described in this paper.
DOI: 10.6084/m9.figshare.7012391
title: Elibariki Mwakapeje Figure6 Dataset Case Control study from Risk factors for human cutaneous anthrax outbreaks in the hotspot districts of Northern Tanzania: an unmatched case–control study

description: <i>Bacillus anthracis</i> is an aerobic, Gram-positive and spore-forming bacterium, which causes anthrax in herbivores. Humans get infected after coming into contact with infected animals' products. An unmatched case–control study was conducted to identify the importance of demographic, biological and/or behavioural factors associated with human cutaneous anthrax outbreaks in the hotspot areas of Northern Tanzania. A semi-structured questionnaire was administered to both cases and controls. The age range of participants was 1–80 years with a median age of 32 years. In the younger group (1–20 years), the odds of being infected were 25 times higher in the exposed group compared to the unexposed group (OR= 25, 95% CI = 1.5–410). By contrast, the odds of exposure in the old group (≥20 years) were three times lower in the exposed group compared to the unexposed group (OR = 3.2, 95% CI = 1.28–8.00). Demographic characteristics, sleeping on animal's skins, contacting with infected carcasses through skinning and butchering, and not having formal education were linked to exposure for anthrax infection. Hence, a One Health approach is inevitable for the prevention and control of anthrax outbreaks in the hotspot areas of Northern Tanzania.
DOI: 10.6084/m9.figshare.7012391.v1
title: Elibariki Mwakapeje Figure6 Dataset Case Control study from Risk factors for human cutaneous anthrax outbreaks in the hotspot districts of Northern Tanzania: an unmatched case–control study

description: <i>Bacillus anthracis</i> is an aerobic, Gram-positive and spore-forming bacterium, which causes anthrax in herbivores. Humans get infected after coming into contact with infected animals' products. An unmatched case–control study was conducted to identify the importance of demographic, biological and/or behavioural factors associated with human cutaneous anthrax outbreaks in the hotspot areas of Northern Tanzania. A semi-structured questionnaire was administered to both cases and controls. The age range of participants was 1–80 years with a median age of 32 years. In the younger group (1–20 years), the odds of being infected were 25 times higher in the exposed group compared to the unexposed group (OR= 25, 95% CI = 1.5–410). By contrast, the odds of exposure in the old group (≥20 years) were three times lower in the exposed group compared to the unexposed group (OR = 3.2, 95% CI = 1.28–8.00). Demographic characteristics, sleeping on animal's skins, contacting with infected carcasses through skinning and butchering, and not having formal education were linked to exposure for anthrax infection. Hence, a One Health approach is inevitable for the prevention and control of anthrax outbreaks in the hotspot areas of Northern Tanzania.
DOI: 10.6084/m9.figshare.7012385
title: Distribution of anthrax cases per village in the hotspot districts of northern Tanzania from Risk factors for human cutaneous anthrax outbreaks in the hotspot districts of Northern Tanzania: an unmatched case–control study

description: Distribution of susceptible anthrax cases in the most prone areas for anthrax is crucial for rapid disease transmission
DOI: 10.6084/m9.figshare.7012385.v1
title: Distribution of anthrax cases per village in the hotspot districts of northern Tanzania from Risk factors for human cutaneous anthrax outbreaks in the hotspot districts of Northern Tanzania: an unmatched case–control study

description: Distribution of susceptible anthrax cases in the most prone areas for anthrax is crucial for rapid disease transmission
DOI: 10.6084/m9.figshare.7012358
title: Lidar_Rio_Gallegos

description: Lidar data at Río Gallegos (51.6S, 69.3W) between 2005 and 2015.
DOI: 10.6084/m9.figshare.7012358.v1
title: Lidar_Rio_Gallegos

description: Lidar data at Río Gallegos (51.6S, 69.3W) between 2005 and 2015.
DOI: 10.6084/m9.figshare.7012307
title: Supplementary Material for: Pancreatic Cancer Cell Fraction Estimation in a DNA Sample

description: <b><i>Objective:</i></b> Pancreatic cancers are characterized by dense stroma. To estimate the degree of interference by coexisting noncancer cells in molecular analyses, we aimed to develop a DNA methylation marker that assesses a cancer cell fraction in DNA samples. <b><i>Methods:</i></b> The microarray data of 22 pancreatic cancer tissues from the The Cancer Genome Atlas database and 9 noncancer tissues were used for genome-wide screening. Thirty-one surgical tumor samples (10 intraductal papillary mucinous neoplasms [IPMNs] and 21 pancreatic cancers), 4 normal, and 26 nontumor samples were used for validation. Gene-specific methylation analysis was conducted by bisulfite pyrosequencing. <b><i>Results:</i></b> Genome-wide screening isolated <i>SIM1</i>, <i>MIR129-2</i>, <i>NR1I2</i>, and <i>HOXB-AS4</i>, as specifically methylated in pancreatic cancer cells. Bisulfite pyrosequencing validated that one or more of three genes (<i>SIM1</i>, <i>MIR129-2</i>, and <i>NR1I2</i>) were methylated in 22 (71.0%) tumor samples (8 IPMNs and 14 cancers), and all showed low levels of methylation in 26 (86.7%) normal and nontumor samples. Therefore, the three genes collectively constituted one marker for a pancreatic cancer cell fraction. The cancer cell fraction estimated by the marker was highly correlated with that estimated using the <i>KRAS</i> mutant allele frequency (<i>R</i> = 0.79). <b><i>Conclusion:</i></b> The DNA methylation marker is useful to estimate the pancreatic cancer cell fraction in DNA samples.
DOI: 10.6084/m9.figshare.7012256
title: Kebara 2 spine and thorax reconstruction.zip

description: Files in .ply format of the reconstructed spine and thorax of the Kebara 2 Neandertal individual. Reconstruction process described in Gómez-Olivencia et al., in press<br>
DOI: 10.18462/iir.rankine.2020.1121
title: Performance predictions of adiabatic flow of isobutane inside a helically coiled capillary tube: artificial neural network.
DOI: 10.6084/m9.figshare.7012238.v1
title: Annotation of high quality transcripts and unigenes

description: Annotation of high quality transcripts and unigenes
DOI: 10.6084/m9.figshare.7012226.v1
title: Information of differently expressed unigenes

description: Information of differently expressed unigenes
DOI: 10.6084/m9.figshare.7012220
title: FreshDoc_Package.zip

description: FreshDoc is a tool for automatically updating outdated API names in documentation. This package includes the binary file of the tool, the guideline, and the experimental results.