cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xcwmf5
title: Occurrence Download

description: A dataset containing 537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vanessa kershawi (McCoy, 1868)",
 "Year 1950-2010"
 ]
}

 The dataset includes 537 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297542-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zows6d
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachypelma smithi (F.O.Pickard-Cambridge, 1897)"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008892-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe9fvx
title: Occurrence Download

description: A dataset containing 39481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Icterus graduacauda Lesson, 1839"
 ]
}

 The dataset includes 39481 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051487-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mznjh
title: Occurrence Download

description: A dataset containing 23333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysogorgiidae"
 ]
}

 The dataset includes 23333 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043472-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zfkwu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is APIS - Antarctic Pack Ice Seals 1994-1999, plus historical data from the 1980's"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074325-200613084148143/datasets/export for details.
DOI: 10.15468/dl.fftnaj
title: Occurrence Download

description: A dataset containing 557749 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selasphorus rufus (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 557749 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036878-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cdtfq
title: Occurrence Download

description: A dataset containing 139670 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago canadensis L."
 ]
}

 The dataset includes 139670 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297534-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt2dgn
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ailurus fulgens F.G.Cuvier, 1825"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021434-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34820/fk2/dql7dr/xnncwt
title: datagambar1687443015796677800.jpg

description: :unav
DOI: 10.34820/fk2/4sclco
title: Drawing App for Kids Image Dataset

description: This dataset was used to train and build a model that used to build the Drawing Apps For Kids web app. This dataset was compiled as two-dimensional graphics of the numbers 0 to 9 that were manually written using the Paint program. Each data class's 200 images have a varied resolution, making up a total of 2000 images in the collected data.
DOI: 10.34820/fk2/dql7dr/j1cj6o
title: datagambar1687443015750680438.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/hwsez4
title: datagambar1687443015918676610.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/36dpbd
title: datagambar1687443015761677365.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/mauo0g
title: datagambar1687443015871700857.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/fu9nlm
title: datagambar1687443015794692996.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/iyyp94
title: datagambar1687443015925678125.jpg

description: :unav
DOI: 10.34820/fk2/x9hpu4/k7vbgt
title: Machine Translation Kaili Dataset.tab

description: Dataset Penelitian TA Sistem Penerjemah Bahasa Indonesia ke Bahasa Kaili
DOI: 10.34820/fk2/dql7dr/nzkhpe
title: datagambar1687443015762682568.jpg

description: :unav
DOI: 10.34820/fk2/x9hpu4
title: Dataset Penelitian TA Sistem Penerjemah Bahasa Indonesia ke Bahasa Kaili

description: Dataset ini merupakan kumpulan data yang digunakan dalam penelitian Tugas Akhir (TA) mengenai Sistem Penerjemah Bahasa Indonesia ke Bahasa Kaili. Dataset ini mencakup berbagai field, termasuk kalimat-kalimat dalam bahasa Indonesia dan bahasa Kaili. Data ini telah diperoleh dan disusun untuk mendukung pengembangan sistem penerjemah yang efektif dan akurat antara kedua bahasa tersebut. Dataset ini dapat digunakan sebagai dasar untuk melatih dan menguji model penerjemah mesin, serta mempelajari perbedaan dan kesamaan antara bahasa Indonesia dan bahasa Kaili.
DOI: 10.34820/fk2/dql7dr/ob4qrh
title: datagambar1687443015828701440.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/8gznxn
title: datagambar1687443015897676576.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/u6kzqw
title: datagambar1687443015922674820.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/bxmkmw
title: datagambar1687443015873681958.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/rwqeck
title: datagambar1687443015745677129.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/spbjkv
title: datagambar1687443015911682998.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/gamjzo
title: datagambar1687443015936678446.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/fk9f78
title: datagambar1687443015882679366.jpg

description: :unav
DOI: 10.6084/m9.figshare.24230218
title: Supplementary Material for: Two distinct characteristics of immune microenvironment in human hepatocellular carcinoma with Wnt/β-catenin mutations

description: Introduction Immunotherapy is becoming a promising approach for unresectable-hepatocellular carcinoma (HCC); the anti-tumor response is affected by the tumor microenvironment (TME). Although Wnt/β-catenin mutations are reported to cause non-inflamed phenotype, their role on TME remains controversial. We aimed to clarify the heterogeneity of immunophenotype in HCC with Wnt/β-catenin mutations. Methods This study includes 152 resected HCCs; mutations in the catenin beta-1, adenomatous polyposis coli, or AXIN1, or AXIN2 genes were defined as Wnt/β-catenin mutations. With hierarchical cluster analyses, TME were classified into inflamed or non-inflamed classes based on the gene expressions associated with T-cell activation. Expression profiles of molecules related to cell differentiation and biliary-stem cell markers were compared between the TME classes to investigate whether differences in tumor traits were associated with TME. Results Forty of 152 (26.3%) HCCs carried the Wnt/β-catenin mutations. Of these, 33 were classified as non-inflamed (33/40, 82.5%) and 7 as inflamed (7/40, 17.5%). Non-inflamed class was characterized by low number of CD3+, CD4+, and CD8+ cells on immunostaining, and high mRNA expressions of AXIN2 and GLUL, which are involved in the canonical Wnt/β-catenin signaling and hepatocyte differentiation, respectively. Non-inflamed tumors showed higher enhancement on the hepatobiliary-phase of gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) compared to inflamed tumors. HCCs classified as inflamed class are revealed to have high numbers of CD3+, CD4+, and CD8+ tumor infiltrating lymphocytes on immunostaining. This class is associated with increased expression of anti-epithelial cell adhesion molecule (EpCAM) and FOXM1 accompanied by upregulation of genes related to interferon-gamma signaling, dendritic cell migration, regulatory T cells and MDSC activation and recognized as low enhancement nodule on Gd-EOB-DTPA-enhanced MRI. Conclusion Heterogeneity of tumor traits and TME was observed in HCC with Wnt/β-catenin mutation. The potential was indicated that tumor traits and TME are determined not only by the activation of the HNF4A but also by FOXM1, both of which are downstream transcription factor of the Wnt/β-catenin signaling pathway.
DOI: 10.6084/m9.figshare.24230218.v1
title: Supplementary Material for: Two distinct characteristics of immune microenvironment in human hepatocellular carcinoma with Wnt/β-catenin mutations

description: Introduction Immunotherapy is becoming a promising approach for unresectable-hepatocellular carcinoma (HCC); the anti-tumor response is affected by the tumor microenvironment (TME). Although Wnt/β-catenin mutations are reported to cause non-inflamed phenotype, their role on TME remains controversial. We aimed to clarify the heterogeneity of immunophenotype in HCC with Wnt/β-catenin mutations. Methods This study includes 152 resected HCCs; mutations in the catenin beta-1, adenomatous polyposis coli, or AXIN1, or AXIN2 genes were defined as Wnt/β-catenin mutations. With hierarchical cluster analyses, TME were classified into inflamed or non-inflamed classes based on the gene expressions associated with T-cell activation. Expression profiles of molecules related to cell differentiation and biliary-stem cell markers were compared between the TME classes to investigate whether differences in tumor traits were associated with TME. Results Forty of 152 (26.3%) HCCs carried the Wnt/β-catenin mutations. Of these, 33 were classified as non-inflamed (33/40, 82.5%) and 7 as inflamed (7/40, 17.5%). Non-inflamed class was characterized by low number of CD3+, CD4+, and CD8+ cells on immunostaining, and high mRNA expressions of AXIN2 and GLUL, which are involved in the canonical Wnt/β-catenin signaling and hepatocyte differentiation, respectively. Non-inflamed tumors showed higher enhancement on the hepatobiliary-phase of gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) compared to inflamed tumors. HCCs classified as inflamed class are revealed to have high numbers of CD3+, CD4+, and CD8+ tumor infiltrating lymphocytes on immunostaining. This class is associated with increased expression of anti-epithelial cell adhesion molecule (EpCAM) and FOXM1 accompanied by upregulation of genes related to interferon-gamma signaling, dendritic cell migration, regulatory T cells and MDSC activation and recognized as low enhancement nodule on Gd-EOB-DTPA-enhanced MRI. Conclusion Heterogeneity of tumor traits and TME was observed in HCC with Wnt/β-catenin mutation. The potential was indicated that tumor traits and TME are determined not only by the activation of the HNF4A but also by FOXM1, both of which are downstream transcription factor of the Wnt/β-catenin signaling pathway.
DOI: 10.34820/fk2/dql7dr/ej5ibe
title: datagambar1687443015795690097.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/ctazg1
title: datagambar1687443015883678567.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/y7sffd
title: datagambar1687443015916678607.jpg

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DOI: 10.34820/fk2/dql7dr/f0k20v
title: datagambar1687443015812687808.jpg

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DOI: 10.34820/fk2/dql7dr/xzhe0f
title: datagambar1687443015912677299.jpg

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DOI: 10.34820/fk2/dql7dr/w2t5uk
title: datagambar1687443015746676431.jpg

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DOI: 10.34820/fk2/dql7dr/nhxzpu
title: datagambar1687443015906695689.jpg

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DOI: 10.34820/fk2/dql7dr/ts18jb
title: datagambar1687443015755675150.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/rojsit
title: datagambar1687443015919677412.jpg

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DOI: 10.34820/fk2/dql7dr/6nbb6e
title: datagambar1687443015876812559.jpg

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DOI: 10.34820/fk2/dql7dr/ejmzt4
title: datagambar1687443015760676661.jpg

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DOI: 10.34820/fk2/dql7dr/csmchn
title: datagambar1687443015918676611.jpg

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DOI: 10.34820/fk2/dql7dr/6zd8eq
title: datagambar1687443015788678881.jpg

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DOI: 10.34820/fk2/dql7dr/ct1nxf
title: datagambar1687443015819693722.jpg

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DOI: 10.34820/fk2/dql7dr/vprbht
title: datagambar1687443015941676454.jpg

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DOI: 10.34820/fk2/dql7dr/eaznpk
title: datagambar1687443015790675986.jpg

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DOI: 10.34820/fk2/dql7dr/spzfnu
title: datagambar1687443015942682755.jpg

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DOI: 10.34820/fk2/dql7dr/gviljb
title: datagambar1687443015825678836.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/cdw7wm
title: datagambar1687443015870682455.jpg

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DOI: 10.34820/fk2/dql7dr/xgvzxi
title: datagambar1687443015749680137.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/bu4xtc
title: datagambar1687443015764676671.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/lxnp1b
title: datagambar1687443015906695688.jpg

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DOI: 10.34820/fk2/dql7dr/ua1noc
title: datagambar1687443015815686915.jpg

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DOI: 10.34820/fk2/dql7dr/i0asux
title: datagambar1687443015924675724.jpg

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DOI: 10.34820/fk2/dql7dr/ljqurr
title: datagambar1687443015787680079.jpg

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DOI: 10.34820/fk2/dql7dr/2kiq6e
title: datagambar1687443015786695577.jpg

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DOI: 10.34820/fk2/dql7dr/cg3gkw
title: datagambar1687443015849679149.jpg

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DOI: 10.34820/fk2/dql7dr/c7iltg
title: datagambar1687443015847679046.jpg

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DOI: 10.34820/fk2/dql7dr/ilnv2w
title: datagambar1687443015810691304.jpg

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DOI: 10.34820/fk2/dql7dr/eyiost
title: datagambar1687443015938707049.jpg

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DOI: 10.34820/fk2/dql7dr/o8jio5
title: datagambar1687443015757678254.jpg

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DOI: 10.34820/fk2/dql7dr/lsarsx
title: datagambar1687443015822675129.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/ftk46w
title: datagambar1687443015924675723.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/tfmg5k
title: datagambar1687443015820702224.jpg

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DOI: 10.34820/fk2/dql7dr/to6ysw
title: datagambar1687443015661685708.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/qrgrgr
title: datagambar1687443015868696853.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/qrvhug
title: datagambar1687443015848675048.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/c9lkd0
title: datagambar1687443015932679438.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/cklmy0
title: datagambar1687443015871700856.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/64hacj
title: datagambar1687443015662697009.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/dsww7q
title: datagambar1687443015928677232.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/s35vb5
title: datagambar1687443015907679991.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/3a42j2
title: datagambar1687443015744676226.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/fk1gkb
title: datagambar1687443015660687207.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/1dszj9
title: datagambar1687443015663703011.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/dylxh5
title: datagambar1687443015909708494.jpg

description: :unav
DOI: 10.34820/fk2/nwk2hv/rqwrnt
title: Lampiran B1.4_IJIL310404 ALFANUR_310088.pdf

description: :unav
DOI: 10.34820/fk2/nwk2hv
title: The effects of gender and age on factors that influence purchase intentions and behaviours of e-commerce consumers in Indonesia

description: This study aims to provide new learning from consumer behaviour viewpoints by understanding the effects of gender and age on consumer purchase intentions and purchase behaviours, specifically in the context of e-commerce in Indonesia, by developing a hypothetical structural model that comprises nine motivational factors: convenience, perceived website quality, social influence, facilitating conditions, hedonic motivation, economic reasons, security, variety and delivery.
DOI: 10.34820/fk2/dql7dr/0engnd
title: datagambar1687443015752679342.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/k9h1n8
title: datagambar1687443015813739110.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/ukexv9
title: datagambar1687443015814676912.jpg

description: :unav
DOI: 10.6084/m9.figshare.21606456
title: MGA

description: null
DOI: 10.6084/m9.figshare.21606456.v3
title: MGA

description: null
DOI: 10.6084/m9.figshare.21606456.v2
title: MGA

description: null
DOI: 10.34820/fk2/dql7dr/tbln9q
title: datagambar1687443015934678342.jpg

description: :unav
DOI: 10.34820/fk2/nrt37f/xuko9u
title: dataset Encouraging Value Innovation by Adopting the Blue Ocean Strategy in a Batak Karo Fabric Business.pdf

description: :unav
DOI: 10.34820/fk2/dql7dr/qbzfim
title: datagambar1687443015821675726.jpg

description: :unav
DOI: 10.34820/fk2/nrt37f
title: Encouraging Value Innovation by Adopting the Blue Ocean Strategy in a Batak Karo Fabric Business

description: The tradition of Batak Karo fabric production has been undertaken for a long time, with many businesses in existence for multiple generations, as is the case with the trade business UD Batik Bintang HS (BBHS). Competition in this trade is extremely intense, with many companies degrading and going out of business. Innovation of new value is needed to advance businesses’ efforts to survive and thrive. In addition to the Red Ocean Strategy, in existing business arenas, the Blue Ocean Strategy (BOS) can be adopted to support such efforts. This study aimed to boost value innovation at BBHS by introducing the BOS, presenting a novel research contribution by examining a Batak Karo fabric business using a descriptive qualitative method. Interviews were used for data collection, and the credibility of the data was validated through triangulation of the data sources. Respondents included three internal employees, three customers, and three suppliers, totaling nine participants. Data analysis applied stages of reduction, display, and conclusions/verification. The discussions were engaged using the BOS constructs of strategy canvas, 4-action framework, and BOS formulation. The research results revealed two notable strategies in value innovation. First, new value innovation can be inspired by entering the supplier industry through innovation in fabric raw materials by lowering yarn density, resulting in lower consumer price without affecting quality. Second, innovation strategies included new cloth colors and motifs that dare to go beyond common customs without violating traditional standards. Both strategies represent new value innovations to attract new customers and retain existing customers. From a research perspective, this study contributes novel evidence that the BOS can be applied to broaden perspectives and identify new value innovations in traditional Batak Karo fabric businesses, with potential applicability to a broad range of traditional textile enterprises
DOI: 10.34820/fk2/dql7dr/3nfnxw
title: datagambar1687443015941676453.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/knf4gq
title: datagambar1687443015881680365.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/eazvaw
title: datagambar1687443015881680364.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/mmz70g
title: datagambar1687443015903678283.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/x0czqi
title: datagambar1687443015816725717.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/vhphqe
title: datagambar1687443015743692324.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/aikyag
title: datagambar1687443015885677470.jpg

description: :unav
DOI: 10.34820/fk2/mho22q/mlsrep
title: Laporan Kinerja BAZNAS 2020.pdf

description: laporan kinerja BAZNAS sebagai bahan riset SVC, tahun sebelum dan sesudahnya dapat diakses di website BAZNAS RI
DOI: 10.34820/fk2/dql7dr/er5yjl
title: datagambar1687443015930677035.jpg

description: :unav
DOI: 10.34820/fk2/mho22q
title: The Role of Religious Institutions in The Social Value Creation in Indonesia

description: mendeskripsikan peran lembaga keagamaan khususnya Lembaga Amil Zakat di Indonesia termasuk di dalamnya BAZNAS RI dalam melakukan Penciptaan Nilai Sosial sehingga tampak peningkatan kemandirian dan kesejahteraan mustahik (penerima manfaat zakat infak dan sodaqoh).
DOI: 10.34820/fk2/dql7dr/py8fo2
title: datagambar1687443015748679336.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/kgcwxu
title: datagambar1687443015741709321.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/4hj64p
title: datagambar1687443015790675987.jpg

description: :unav
DOI: 10.34820/fk2/ksm9gf/rz4uol
title: Rekap Jawaban Responden.tab

description: :unav
DOI: 10.34820/fk2/ksm9gf
title: Replication Data for: Analysis of Relationship between Leadership and Employee Performance at Manufactur Company

description: The research objective is to determine the influence of leadership on employee performance at Utama Prima Karya Ltd. Pekanbaru, Indonesia. This research was a quantitative method. The data analyzed used SPSS 26. The result of the t-test showed that the t-value is 5.339, bigger than t table 1.99714. So H0 is rejected, and Ha is accepted. It concluded that there is a positive and significant influence of leadership variables on employee performance. The coefficient of determination (R2) is 0.305. It means that the leadership influence on employee performance is 30.5%, while the remaining 69.5% influenced by other variables not included in this study.
DOI: 10.34820/fk2/dql7dr/zo3ghe
title: datagambar1687443015791675890.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/b8p7ja
title: datagambar1687443015869695954.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/ojlrdh
title: datagambar1687443015789693984.jpg

description: :unav
DOI: 10.34820/fk2/dql7dr/40qxm2
title: datagambar1687443015790675988.jpg

description: :unav
DOI: 10.34820/fk2/tcvnf2/10fual
title: 2757-Article Text-13089-1-10-20230108.pdf

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