Version DOI Comment Publication Date
1 10.13012/B2IDB-7860393_V1 2016-12-20
3.92 MB File
500 KB File
2.76 MB File
1.42 MB File
2.33 KB File
3.88 KB File
4.54 KB File
1.71 KB File
1.02 MB File
915 KB File
2.41 KB File

Contact the Research Data Service for help interpreting this log.

update: {"peek_type"=>["part_text", "none"], "peek_text"=>["AidData Project ID,Title,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Other Organizations,Source,Start Date (DD/MM/YYYY),End Date (DD/MM/YYYY),Planned Start Date (DD/MM/YYYY),Planned End Date (DD/MM/YYYY),Source Detail,Status,AidData Sector Code,AidData Sector Name,AidData Purpose Code,AidData Purpose Name,AidData Activity Code(s),AidData Activity Name(s),Short Description,Long Description,Donor Project ID,Donor Secondary Project ID,Additional Info,Project Commitment Amount (Constant USD2011),Project Disbursement Amount (Constant USD2011),Total Project Cost (Donor Reported),CRS: Untied Amount (Nominal USD),CRS: Tied Amount (Nominal USD),CRS: Partial Tied Amount (Nominal USD),CRS: Pdgg,CRS: Channel Code,CRS: Bi Multi,CRS: Desertification,CRS: Environment,CRS: Gender,CRS: Trade,CRS: Climate,CRS: Biodiversity,CRS: Region,CRS: Sector Code,CRS: Sector,CRS: Purpose Code,CRS: Purpose Name,CRS: Flow Name,CRS: Finance T,CRS: Associated Financing,CRS: Future Ds Principal Amount Usd Nominal,CRS: Future Ds Interest Amount Usd Nominal,CRS: Irtc Amount Usd Nominal,CRS: Received Amount Usd Nominal,CRS: Aid T,CRS: Arrears Interest Amount Usd Nominal,CRS: Arrears Principal Amount Usd Nominal,CRS: Channel Name,CRS: Expert Commitment Amount Usd Nominal,CRS: Export Credit Amount Usd Nominal,CRS: Export Extended Amount Usd Nominal,CRS: FTC,CRS: Initial Report,CRS: Interest Amount Usd Nominal,CRS: Outstanding Amount Usd Nominal,CRS: Repay Type,CRS: Second Interest Rate\n2430872,Peru First Progrmmati", ""]} 2018-10-23T21:33:43Z
update: {"peek_type"=>["part_text", "none"], "peek_text"=>["AidData Project ID,Title,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Other Organizations,Source,Start Date (DD/MM/YYYY),End Date (DD/MM/YYYY),Planned Start Date (DD/MM/YYYY),Planned End Date (DD/MM/YYYY),Source Detail,Status,AidData Sector Code,AidData Sector Name,AidData Purpose Code,AidData Purpose Name,AidData Activity Code(s),AidData Activity Name(s),Short Description,Long Description,Donor Project ID,Donor Secondary Project ID,Additional Info,Project Commitment Amount (Constant USD2011),Project Disbursement Amount (Constant USD2011),Total Project Cost (Donor Reported),CRS: Untied Amount (Nominal USD),CRS: Tied Amount (Nominal USD),CRS: Partial Tied Amount (Nominal USD),CRS: Pdgg,CRS: Channel Code,CRS: Bi Multi,CRS: Desertification,CRS: Environment,CRS: Gender,CRS: Trade,CRS: Climate,CRS: Biodiversity,CRS: Region,CRS: Sector Code,CRS: Sector,CRS: Purpose Code,CRS: Purpose Name,CRS: Flow Name,CRS: Finance T,CRS: Associated Financing,CRS: Future Ds Principal Amount Usd Nominal,CRS: Future Ds Interest Amount Usd Nominal,CRS: Irtc Amount Usd Nominal,CRS: Received Amount Usd Nominal,CRS: Aid T,CRS: Arrears Interest Amount Usd Nominal,CRS: Arrears Principal Amount Usd Nominal,CRS: Channel Name,CRS: Expert Commitment Amount Usd Nominal,CRS: Export Credit Amount Usd Nominal,CRS: Export Extended Amount Usd Nominal,CRS: FTC,CRS: Initial Report,CRS: Interest Amount Usd Nominal,CRS: Outstanding Amount Usd Nominal,CRS: Repay Type,CRS: Second Interest Rate\n2430872,Peru First Progrmmati", ""]} 2018-10-23T17:16:47Z
update: {"peek_type"=>["part_text", "none"], "peek_text"=>["line_num,project_number,word,column_name,content\n0,2430872,biodiversity,Long Description,\"the environmental development policy loan program (envdpl) aims at supporting the government's efforts to strengthen environmental governance and institutions in peru, and mainstream environmental sustainability in the development agenda of key sectors (mining, fisheries, and urban transport and energy). the envdpl promotes improvements in health particularly of the poor who are exposed to the highest risks from environmental degradation. the envdpl is consistent with one of the key pillars of the 2006 country partnership strategy (cps) for peru for fy07-fy11 (and the 2009 cps progress report) laying out a strategy to support the government of peru (gop) to achieve its goals of sustained economic growth. the cps recognizes the need to raise the profile of environmental issues in peru by enhancing environmental public investments and strengthening the institutional framework. in support of the cps' pillar on economic growth, the envdpl program will contribute to making growth environmentally sustainable by supporting the environmental legal and institutional framework, biodiversity conservation, enhancing control over air and water pollution, improving the sustainability of the mining sector and the sustainable management of fisheries resources. in addition, by supporting the policy instruments of the newly created ministry of environment (minam), the envdpl would contribute to the modernization of the state institutions.\"\n0,2430872,bio-diversity,AidData Activity Name(s),\"mineral resour", ""]} 2018-10-23T17:16:44Z
update: {"peek_type"=>["none", "all_text"], "peek_text"=>["", "{\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"import csv\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 3,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"keywords_f = 'Peru_KeywordsSpanish_2009_2016_AidData.csv'\\n\",\n \"database_f = 'project__1_2016-09-24-15-45.csv'\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 5,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [],\n \"source\": [\n \"with open(keywords_f, 'rU') as fin:\\n\",\n \" fin = csv.reader(fin)\\n\",\n \" keywords_head = next(fin)\\n\",\n \" keywords_data = [d for d in fin]\\n\",\n \" \\n\",\n \"with open(database_f, 'rU') as fin:\\n\",\n \" fin = csv.reader(fin)\\n\",\n \" database_head = next(fin)\\n\",\n \" database_data = [d for d in fin]\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 8,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [],\n \"source\": [\n \"keywords_head\\n\",\n \"\\n\",\n \"kw = {r[2]: r for r in keywords_data}\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 12,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [],\n \"source\": [\n \"database_head\\n\",\n \"\\n\",\n \"db = {r[0]: r for r in database_data}\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 29,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"kw_ids = set(kw.keys())\\n\",\n \"db_ids = set(db.keys())\\n\",\n \"db_kw_intersect = kw_ids.intersection(db_ids) # this content will be written to the file\\n\",\n \"db_kw_diff = kw_ids.difference(db_ids) # list of ids kw but not db\\n\",\n \"kw_db_diff = db_ids.difference(kw_ids) # list of ids in db but not kw\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 22,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"(2846, 960, 505)\"\n ]\n },\n \"execution_count\": 22,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"len(kw_ids), len(db_ids), len(db_kw_intersect)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 24,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [],\n \"source\": [\n \"merge = {}\\n\",\n \"\\n\",\n \"for idnum in db_kw_intersect:\\n\",\n \" merge[idnum] = kw[idnum] + db[idnum]\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 25,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"headers = keywords_head + database_head\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 27,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": [\n \"with open('merged.csv', 'wt') as fout:\\n\",\n \" fout = csv.writer(fout)\\n\",\n \" fout.writerow(headers)\\n\",\n \" fout.writerows(merge.values())\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 39,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [],\n \"source\": [\n \"in_kw_not_in_db = {}\\n\",\n \"\\n\",\n \"for idnum in db_kw_diff:\\n\",\n \" in_kw_not_in_db[idnum] = kw[idnum]\\n\",\n \" \\n\",\n \"in_db_not_in_kw = {}\\n\",\n \"\\n\",\n \"for idnum in kw_db_diff:\\n\",\n \" in_db_not_in_kw[idnum] = db[idnum]\\n\",\n \"\\n\",\n \"with open('in_kw_not_in_db.csv', 'wt') as fout:\\n\",\n \" fout = csv.writer(fout)\\n\",\n \" fout.writerow(keywords_head)\\n\",\n \" fout.writerows(in_kw_not_in_db.values())\\n\",\n \" \\n\",\n \"with open('in_db_not_in_kw.csv', 'wt') as fout:\\n\",\n \" fout = csv.writer(fout)\\n\",\n \" fout.writerow(database_head)\\n\",\n \" fout.writerows(in_db_not_in_kw.values())\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 34,\n \"metadata\": {\n \"collapsed\": false\n },\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \"455\"\n ]\n },\n \"execution_count\": 34,\n \"metadata\": {},\n \"output_type\": \"execute_result\"\n }\n ],\n \"source\": [\n \"len(kw_db_diff)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": null,\n \"metadata\": {\n \"collapsed\": true\n },\n \"outputs\": [],\n \"source\": []\n }\n ],\n \"metadata\": {\n \"kernelspec\": {\n \"display_name\": \"Python 2\",\n \"language\": \"python\",\n \"name\": \"python2\"\n },\n \"language_info\": {\n \"codemirror_mode\": {\n \"name\": \"ipython\",\n \"version\": 2\n },\n \"file_extension\": \".py\",\n \"mimetype\": \"text/x-python\",\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython2\",\n \"version\": \"2.7.12\"\n }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 0\n}\n"]} 2018-10-23T17:08:53Z
update: {"peek_type"=>["part_text", "none"], "peek_text"=>["AidData Project ID,Title,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Organization,Organization ISO,Organization Role,Other Organizations,Source,Start Date (DD/MM/YYYY),End Date (DD/MM/YYYY),Planned Start Date (DD/MM/YYYY),Planned End Date (DD/MM/YYYY),Source Detail,Status,AidData Sector Code,AidData Sector Name,AidData Purpose Code,AidData Purpose Name,AidData Activity Code(s),AidData Activity Name(s),Short Description,Long Description,Donor Project ID,Donor Secondary Project ID,Additional Info,Project Commitment Amount (Constant USD2011),Project Disbursement Amount (Constant USD2011),Total Project Cost (Donor Reported),CRS: Untied Amount (Nominal USD),CRS: Tied Amount (Nominal USD),CRS: Partial Tied Amount (Nominal USD),CRS: Pdgg,CRS: Channel Code,CRS: Bi Multi,CRS: Desertification,CRS: Environment,CRS: Gender,CRS: Trade,CRS: Climate,CRS: Biodiversity,CRS: Region,CRS: Sector Code,CRS: Sector,CRS: Purpose Code,CRS: Purpose Name,CRS: Flow Name,CRS: Finance T,CRS: Associated Financing,CRS: Future Ds Principal Amount Usd Nominal,CRS: Future Ds Interest Amount Usd Nominal,CRS: Irtc Amount Usd Nominal,CRS: Received Amount Usd Nominal,CRS: Aid T,CRS: Arrears Interest Amount Usd Nominal,CRS: Arrears Principal Amount Usd Nominal,CRS: Channel Name,CRS: Expert Commitment Amount Usd Nominal,CRS: Export Credit Amount Usd Nominal,CRS: Export Extended Amount Usd Nominal,CRS: FTC,CRS: Initial Report,CRS: Interest Amount Usd Nominal,CRS: Outstanding Amount Usd Nominal,CRS: Repay Type,CRS: Second Interest Rate\n95462037,Politique de l’envir", ""]} 2018-10-23T14:20:36Z
update: {"task_id"=>[nil, 3772]} 2018-10-22T20:44:14Z
update: {"task_id"=>[nil, 3681]} 2018-10-22T20:44:12Z
update: {"task_id"=>[nil, 2947]} 2018-10-22T20:43:58Z
update: {"task_id"=>[nil, 2804]} 2018-10-22T20:43:55Z
update: {"task_id"=>[nil, 2801]} 2018-10-22T20:43:55Z
update: {"task_id"=>[nil, 2785]} 2018-10-22T20:43:55Z
update: {"task_id"=>[nil, 2478]} 2018-10-22T20:43:49Z
update: {"task_id"=>[nil, 2327]} 2018-10-22T20:43:47Z
update: {"task_id"=>[nil, 2291]} 2018-10-22T20:43:46Z
update: {"task_id"=>[nil, 2289]} 2018-10-22T20:43:46Z
update: {"task_id"=>[nil, 2108]} 2018-10-22T20:43:43Z
update: {"task_id"=>[1556, nil]} 2018-10-22T20:41:33Z
update: {"task_id"=>[1573, nil]} 2018-10-22T20:41:32Z
update: {"task_id"=>[1555, nil]} 2018-10-22T20:41:32Z
update: {"task_id"=>[1127, nil]} 2018-10-22T20:41:31Z
update: {"task_id"=>[1126, nil]} 2018-10-22T20:41:31Z
update: {"task_id"=>[1125, nil]} 2018-10-22T20:41:31Z
update: {"task_id"=>[103, nil]} 2018-10-22T20:41:24Z
update: {"task_id"=>[1578, nil]} 2018-10-22T20:41:23Z
update: {"task_id"=>[1571, nil]} 2018-10-22T20:41:23Z
update: {"task_id"=>[1552, nil]} 2018-10-22T20:41:23Z
update: {"task_id"=>[102, nil]} 2018-10-22T20:41:19Z
update: {"task_id"=>[nil, 1578]} 2018-10-22T19:53:16Z
update: {"task_id"=>[nil, 1573]} 2018-10-22T19:53:16Z
update: {"task_id"=>[nil, 1571]} 2018-10-22T19:53:16Z
update: {"task_id"=>[nil, 1556]} 2018-10-22T19:53:15Z
update: {"task_id"=>[nil, 1555]} 2018-10-22T19:53:15Z
update: {"task_id"=>[nil, 1552]} 2018-10-22T19:53:15Z
update: {"task_id"=>[nil, 1127]} 2018-10-22T19:53:07Z
update: {"task_id"=>[nil, 1126]} 2018-10-22T19:53:07Z
update: {"task_id"=>[nil, 1125]} 2018-10-22T19:53:07Z
update: {"task_id"=>[nil, 103]} 2018-10-22T19:52:49Z
update: {"task_id"=>[nil, 102]} 2018-10-22T19:52:49Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/matching_tool.ipynb"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/in_db_not_in_kw.csv"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/readme.txt"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/project_subset_results.csv"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/Peru_KeywordsSpanish_2009_2016_AidData.csv"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/project__1_2016-09-24-15-45.csv"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/matching_tool.py"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keyword_search.py"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/in_kw_not_in_db.csv"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keywords_miller_includespanish.txt"]} 2018-10-22T19:49:46Z
update: {"storage_root"=>[nil, "medusa"], "storage_key"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keyword_results_1.csv"]} 2018-10-22T19:49:46Z
update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Technology and Engineering"]} 2018-02-09T16:11:36Z
update: {"description"=>["Scripts and example data for AIDData (aiddata.org) processing in support of forthcoming Nakamura dissertation.\r\n\r\nThis dataset includes two sets of scripts and data files. Fuller documentation about the functionality for these scripts is within the readme file.\r\n\r\nAdditional background information and description of usage will be in the forthcoming Nakamura dissertation (link will be added when available). Data originally supplied by Nakamura. Python code and this readme file created by Wickes. Data included within this deposit are examples to demonstrate execution.", "Scripts and example data for AIDData (aiddata.org) processing in support of forthcoming Nakamura dissertation.\r\n\r\nThis dataset includes two sets of scripts and example data files from an aiddata.org data dump. Fuller documentation about the functionality for these scripts is within the readme file. Additional background information and description of usage will be in the forthcoming Nakamura dissertation (link will be added when available). Data originally supplied by Nakamura. Python code and this readme file created by Wickes. Data included within this deposit are examples to demonstrate execution.\r\n\r\nRoughly, there are two python scripts in here: keyword_search.py, designed to assist in finding records matching specific keywords, and matching_tool.ipynb, designed to assist in detection of which records are and are not contained within a keyword results file and an aiddata project data file."]} 2016-12-20T20:00:28Z
update: {"keywords"=>["aiddata, natural resources", "aiddata; natural resources"]} 2016-12-20T19:38:43Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/in_db_not_in_kw.csv"], "binary"=>["in_db_not_in_kw.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keyword_results_1.csv"], "binary"=>["keyword_results_1.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/readme.txt"], "binary"=>["readme.txt", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/project_subset_results.csv"], "binary"=>["project_subset_results.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/Peru_KeywordsSpanish_2009_2016_AidData.csv"], "binary"=>["Peru_KeywordsSpanish_2009_2016_AidData.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/project__1_2016-09-24-15-45.csv"], "binary"=>["project__1_2016-09-24-15-45.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/matching_tool.py"], "binary"=>["matching_tool.py", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/in_kw_not_in_db.csv"], "binary"=>["in_kw_not_in_db.csv", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/matching_tool.ipynb"], "binary"=>["matching_tool.ipynb", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keywords_miller_includespanish.txt"], "binary"=>["keywords_miller_includespanish.txt", nil]} 2016-12-20T16:25:06Z
update: {"medusa_path"=>[nil, "DOI-10-13012-b2idb-7860393_v1/dataset_files/keyword_search.py"], "binary"=>["keyword_search.py", nil]} 2016-12-20T16:25:06Z
update: {"release_date"=>[nil, Tue, 20 Dec 2016], "publication_state"=>["draft", "released"], "identifier"=>["", "10.13012/B2IDB-7860393_V1"]} 2016-12-20T16:20:21Z