Matches in Nanopublications for { ?s <http://purl.org/dc/terms/description> ?o ?g. }
- step description "@is_fairstep(label='awesome step to pixelize an image, with adjustable rate') # Give it your own name: def my_awesome_adjustable_pixelization(img, rate): newx = int(rate * img.size[0]) newy = int(rate * img.size[1]) imgSmall = img.resize((newx,newy),resample=Image.BILINEAR) result = imgSmall.resize(img.size,Image.NEAREST) return result " assertion.
- plan description "@is_fairworkflow(label='My awesome workflow') def my_awesome_pixeltext_workflow(img_in): img1 = my_awesome_adjustable_pixelization(img_in,0.1) img_out = add_text_into_image(img1) return img_out " assertion.
- step description "@is_fairstep(label='Inverting the colors of an image') def invert_colors(img): from PIL import Image, ImageOps return ImageOps.invert(img) " assertion.
- step description "@is_fairstep(label='Blend two images') def blend_image(im1, im2): from PIL import Image im_blended= Image.blend(im1, im2, alpha=0.5) return im_blended " assertion.
- plan description "@is_fairworkflow(label='Convert an image to a pencil sketch') def wf_t1(image): gray_image = rgb2gray_image(image) negative_image = invert_colors(gray_image) blurred_image = blur(negative_image) blended_image = blend_image(gray_image, blurred_image) new_image = contrast_image(blended_image, 1) return new_image " assertion.
- step description "@is_fairstep(label='Make white background of image transparent') def white_to_transparency(img): from PIL import Image img = img.convert("RGBA") data = img.getdata() new_data = [] for item in data: if item[0] == 255 and item[1] == 255 and item[2] == 255: new_data.append((255, 255, 255, 0)) else: new_data.append(item) img.putdata(new_data) return img " assertion.
- step description "@is_fairstep(label='Overlay image with another (partly transparent) one') def overlay(bg_img, fg_img): from PIL import Image img = bg_img.copy() fg_img = fg_img.convert("RGBA") img.paste(fg_img, (0, 0), fg_img) return img " assertion.
- step description "@is_fairstep(label='Awesome step for rotating an image by any angle') # Give it your own name: def rotate_image(image, angle_rotation): new_image = image.rotate(angle=angle_rotation) return new_image " assertion.
- plan description "@is_fairworkflow(label='Awesome workflow for rotating and adding text to image') def wf_t3(im_in, angle): rotated_image = rotate_image(im_in, angle) im_out = add_text_into_image(rotated_image) return im_out " assertion.
- step description "@is_fairstep(label='Convert image to grayscale') def rgb2gray_image(image): from PIL import Image new_image = image.convert('L') return new_image " assertion.
- step description "@is_fairstep(label='Add blur to image') def blur(img): from PIL import Image, ImageFilter return img.filter(ImageFilter.BLUR) " assertion.
- step description "@is_fairstep(label='contrast image by factor') def contrast_image(image, ratio): from PIL import Image, ImageEnhance new_image= image.convert('RGB') new_image = ImageEnhance.Contrast(image) new_image= new_image.enhance(ratio) return new_image " assertion.
- plan description "@is_fairworkflow(label='YAIC: Yet Another Image Converter (licence:cc0,author:rsiebes,date:06-05-2021 )') def yaic_workflow(originalImg): grayImg = rgb2gray_image(originalImg) invertedImg = invert_colors(grayImg) blendedImg = mask_image(blur(invertedImg),originalImg) contrastedImg = contrast_image(blendedImg,2) return contrastedImg " assertion.
- step description "@is_fairstep(label='An awesome step for creating composite image by blending images using a transparency mask') def mask_image(image1,image2): from PIL import Image mask = Image.new("L", image1.size, 128) new_image = Image.composite(image1, image2, mask) return new_image " assertion.
- step description "@is_fairstep(label='Add blur to image') def blur(img): from PIL import Image, ImageFilter return img.filter(ImageFilter.BLUR) " assertion.
- plan description "@is_fairworkflow(label='Make an image blurred and add copyright warning (licence:cc0,author:rsiebes, date:06-05-2021 )') def my_awesome_copyright_watermark_blur_workflow(im_in, text): blurredImg = blur(im_in) blurredWatermarkImg = my_watermark_step(blurredImg,text) return blurredWatermarkImg " assertion.
- step description "@is_fairstep(label='Convert image to grayscale') def rgb2gray_image(image): from PIL import Image new_image = image.convert('L') return new_image " assertion.
- step description "@is_fairstep(label='Add blur to image') def blur(img): from PIL import Image, ImageFilter return img.filter(ImageFilter.BLUR) " assertion.
- plan description "@is_fairworkflow(label='takes an images and returns a pencil sketch version') def to_pencil_sketch(original_image): gray = rgb2gray_image(original_image) neg_gray = invert_colors(gray) blur_neg_gray = blur(neg_gray) blended = blend_image(gray, blur_neg_gray) final = contrast_image(blended, 5) return final " assertion.
- step description "@is_fairstep(label='Overlay image with another (partly transparent) one') def overlay(bg_img, fg_img): from PIL import Image img = bg_img.copy() fg_img = fg_img.convert("RGBA") img.paste(fg_img, (0, 0), fg_img) return img " assertion.
- step description "@is_fairstep(label='Make white background of image transparent') def white_to_transparency(img): from PIL import Image img = img.convert("RGBA") data = img.getdata() new_data = [] for item in data: if item[0] == 255 and item[1] == 255 and item[2] == 255: new_data.append((255, 255, 255, 0)) else: new_data.append(item) img.putdata(new_data) return img " assertion.
- step description "@is_fairstep(label='Overlay image with another (partly transparent) one') def overlay(bg_img, fg_img): from PIL import Image img = bg_img.copy() fg_img = fg_img.convert("RGBA") img.paste(fg_img, (0, 0), fg_img) return img " assertion.
- step description "@is_fairstep(label='AWESOME upside down flipper') # Give it your own name: def my_awesome_flipper(image): from PIL import Image new_image = image.rotate(180) return new_image " assertion.
- step description "@is_fairstep(label='AWESOME upside down flipper') # Give it your own name: def my_awesome_flipper(image): from PIL import Image new_image = image.rotate(180) new_image.show() return new_image " assertion.
- step description "@is_fairstep(label='Invert the grayscale image to get a negative') def image_Gray2Negative(img:float) -> float: img_negative = PIL.ImageOps.invert(img) return img_negative " assertion.
- step description "@is_fairstep(label='Blend the grayscale image from step 1 with the blurred negative from step 3') def image_blend(img1:float, img2:float) -> float: img_blend = Image.blend(img1,img2,0.0) return img_blend " assertion.
- plan description "@is_fairworkflow(label='A simple image processing workflow, include grayscale, negative, guassian blur, blend, constrast') def image_processing_workflow(img): image_gray = image_RGB2Gray(img) image_negative = image_Gray2Negative(image_gray) img_gauss = image_Gaussian(image_negative) img_blend = image_blend(image_gray, img_gauss) img_constrast = image_constrast(img_blend, factor=0.3) return img_constrast " assertion.
- step description "@is_fairstep(label='Convert the RGB color image to grayscale') def image_combined(img1:float, img2:float) -> float: img_combined = Image.blend(img1, img2, 0.5) return img_combined " assertion.
- step description "@is_fairstep(label='Add blur to image') def blur(img): from PIL import Image, ImageFilter return img.filter(ImageFilter.BLUR) " assertion.
- plan description "@is_fairworkflow(label='YAIB: Yet Another Image Blender (licence:cc0,author:rsiebes, date:06-05-2021 )') def yaib_workflow(backgroundImg,foregroundImg): blendedImg = mask_image(blur(backgroundImg),foregroundImg) return blendedImg " assertion.
- RAmG2bXxwkIzARk4Mda-lqZU0RVnkpX7hUHBIPcdLHQUU description "All review comments were addressed and the formalization looks good." assertion.
- RAxBBJ2WkonyQNlXfdCAOaCi64J_xqgVGeaLjVQow9M88 description "The author has addressed all review comments received and the formalization looks good." assertion.
- RAeRSya2qIYymsBxiqOZP_oaQpHXUVXiydKvPCFM-7DDQ description "All review comments were addressed and the formalization looks good." assertion.
- RAgoIxfXPqNDY8vnK2EmBQDAFwuFIDJtfaMplTvPMq3pg description "The review comments were addressed and the formalization looks good." assertion.
- RAMgThXW6xx8QiPmW9VhVuxWCN2ZWe-pmxDcFfdx_A7z0 description "The author has addressed the review comments and the formalization looks good." assertion.
- assertion description "This nanopublication makes a statement that in the context of a thing of a certain type (e.g. a mouse), another thing of a certain type (e.g. a gene) tends to have a relation (such as causing) to another thing of a certain type (e.g. a disease) in the same context. More information about the super-pattern can be found in this publication:" assertion.
- assertion description "This nanopublication makes a statement that in the context of a thing of a certain type (e.g. a mouse), another thing of a certain type (e.g. a gene) tends to have a relation (such as causing) to another thing of a certain type (e.g. a disease) in the same context. More information about the super-pattern can be found in this publication: https://doi.org/10.1145/3460210.3493561" assertion.
- assertion description "<p>This nanopublication makes a statement that in the context of a thing of a certain type (e.g. a mouse), another thing of a certain type (e.g. a gene) tends to have a relation (such as causing) to another thing of a certain type (e.g. a disease) in the same context.</p> <p>More information about the super-pattern can be found in <a href="https://doi.org/10.1145/3460210.3493561">this publication</a>.</p>" assertion.
- assertion description "<p>This nanopublication makes a statement that in the context of a thing of a certain type (e.g. a mouse), another thing of a certain type (e.g. a gene) tends to have a relation (such as causing) to another thing of a certain type (e.g. a disease) in the same context.</p> <p>More information about the super-pattern can be found in <a href="https://doi.org/10.1145/3460210.3493561">this publication</a>.</p> <p>If the class for the context, subject, or object does not yet exist, you can <a href="/publish?template=http://purl.org/np/RA2FrMIx0lsjlUje7iLpQb8kB0KuouQz5EpOaO5gdqwWI&template-version=latest">mint a new class</a> first.</p>" assertion.
- assertion description "Such a nanopublication expresses that two given identifiers are equivalent or closely related." assertion.
- assertion description "<p>Such a nanopublication expresses an association between classes of organisms (taxa), a subject taxon and an object taxon, for example expressing that the organisms of the subject taxon prey on organisms of the object taxon.</p> <p>For expressing observations of interactions between individual organisms, please use the alternative template "Associations between organisms".</p>" assertion.
- assertion description "<p>Such a nanopublication expresses a relation of synonymy between two organism taxon names.</p>" assertion.
- assertion description "Template for defining a community of practice aiming at implementing the FAIR principles." assertion.
- assertion description "Template for defining a community of practice aiming at implementing the FAIR principles." assertion.
- test description "This is just a test." assertion.
- test description "This is just a test." assertion.
- test description "This is just another test..." assertion.
- foobar description "This is just a test." assertion.
- assertion description "<p>Such a nanopublication expresses an association between an organism (normally identified as belonging to a certain taxon concept) and a nucleotide sequence (that can correspond to a gene or subunit of a gene), for example expressing that Sequence ID (INSDC / Genbank accession number or BOLD Process ID) identifies Organism X as belonging to a Taxon Concept Y.</p>" assertion.
- assertion description "<p>Such a nanopublication expresses an association between an organism taxon and a nucleotide sequence (that can correspond to a gene or subunit of a gene), for example expressing that Sequence ID (INSDC / Genbank accession number or BOLD Process ID) identifies a given taxon concept.</p>" assertion.
- assertion description "Such a nanopublication expresses an association between an organism taxon (e.g. a species) and an environment, for example expressing that the organisms of the given species inhabit the specified environment." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a community of practice aiming at implementing the FAIR principles." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- image description "Digital representations of visual information or pictures in a digital format and consists of pixel values in an array of real numbers." assertion.
- audio description "Digital representations of sound or audio signals in a sequence of real numbers." assertion.
- video description "Multimedia data that usually consists of a sequence of images and audio data encoded in a digital format and thus is represented as a sequence of tuples (image, audio)." assertion.
- text-based description "Digital objects that consists of a sequence of characters." assertion.
- text-based description "Digital objects that consists of a sequence of characters." assertion.
- code description "Tuple of mainly characters and symbols used to provide instructions or statements written in a specific porgramming language." assertion.
- survey-data description "Structured data collected by administering surveys, questionnaires, interviews to individuals based on a sampling procedures." assertion.
- spatial-data description "Representation of physical locations on the Earth's surface or in the space. It is represented as an array (real) with specific dimension includeing the location as coordinates, shapes and associated attributes." assertion.
- time-series-data description "Digital object type that focuses on capturing and representing information that varies over time like observations, measurements or events organized as a sequence (real) with one temporal variable." assertion.
- molecule-sequence-data description "Structured data that represent the sequential arrangement of atoms or molecular components." assertion.
- spectral-data description "Representation of radiation for specific wavelengths related to the phenomenon being observed as a continuous function of wavelenght value." assertion.
- multidimensional-data description "Data that has more than one dimension or axis along which it is organized to represent complex, structured, and interrelated information as a array (type)." assertion.
- tabular-data description "A data structure that consists of rows and columns, forming a two-dimensional grid and is represented as a list of component types" assertion.
- sensor-data description "Digital data generated by sensors usually in binary format." assertion.
- statistical-analysis description "Analysing data by the use of statistical methods and tools to make sense of data in order to identify patterns and relationships within the data." assertion.
- simulation-modeling description "Creating computer models to simulate and study complex systems or processes." assertion.
- content-analysis description "Analyzing the content of written, visual, or audio materials (e.g., texts, videos, images)." assertion.
- content-analysis description "Analyzing the content of written, visual, or audio materials (e.g., texts, videos, images)." assertion.
- experimental-research description "Manipulating variables and measuring the effects to establish cause-and-effect relationships." assertion.
- systematic-review description "A comprehensive and systematic summary of existing research on a particular topic." assertion.
- network-analysis description "Analyzing the relationships and connections between entities in a network." assertion.
- qualitative-assessment description "Collecting and analyzing non-numerical data (e.g., interviews, observations, open-ended surveys) to understand complex phenomena." assertion.
- quantitative-assessment description "Using numerical data and statistical analysis to answer research questions." assertion.
- spectrum-analysis description "Spectral analysis involves the calculation of waves or oscillations in a set of sequenced data." assertion.
- sensor-based-observation description "Data aquisition via electronic sensors that detect and record information about physical, environmental. or biological phenomena." assertion.
- human-based-observation description "Data collection in which humon oberserver systematically gather information by directly observing and recording events, behaviours or phenomena in real-time." assertion.
- crystallography-analysis description "Analysis of the crystal structure, morphology and polymorphism in materials." assertion.
- sequencing description "Determination of the order or arrangement of individual elements within a larger set or collection, e.g. in genetics of nucleotides in a DNA/RNA molecule." assertion.
- mass-spectrometry description "A method to identify and quantify compounds by measuring the mass-to-charge ratio of ions produced from sample molecules." assertion.
- spectroscopy description "The measurement of the interaction of light with matter to provide information about molecular structure and composition." assertion.
- chromatography description "Methods used to separate and analyze compnents of a mixture based on their differenial interactions with a stationary phase and a mobile phase." assertion.
- biological-census description "Method for counting and documenting species in a particular area." assertion.
- remote-sensing description "The method of monitoring changes in land cover and habitat using satellite imagery and aerial photography." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- Audio description "Digital representations of sound or audio signals in a sequence of real numbers." assertion.
- assertion description "Template for defining a registry of digital objects." assertion.
- Code description "Tuple of mainly characters and symbols used to provide instructions or statements written in a specific porgramming language." assertion.
- Image description "Digital representations of visual information or pictures in a digital format and consists of pixel values in an array of real numbers." assertion.
- Molecular-sequence-data description "Structured data that represent the sequential arrangement of atoms or molecular components." assertion.
- Multidimensional-data description "Data that has more than one dimension or axis along which it is organized to represent complex, structured, and interrelated information as a array (type)." assertion.